GRK 1773:  Heterogeneous Image Systems

• Subject Area: Computer Science
• Term: from 2012 to 2017
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 191337822

• Final Report Year: 2018

Final Report Abstract

Bildsysteme, das heißt Systeme zur Erzeugung, Verarbeitung und Übertragung von Bildern, spielen in vielen Anwendungsbereichen eine große Rolle, z.B. bei der medizinischen Bildverarbeitung, in Computerspielen oder beim Streaming von Videodaten. Solche Systeme sind in zweierlei Hinsicht heterogen: Zum einen sind Berechnungen innerhalb eines Systems auf verschiedene Komponenten verteilt, deren optimales Zusammenspiel wesentlich für die Leistungsfähigkeit des Gesamtsystems ist. Zum anderen sollen Anwendungen auf unterschiedlichen Bildsystemen ablaufen können, wobei die spezifischen Fähigkeiten der Systeme möglichst gut ausgenutzt werden sollen. Beide Arten von Heterogenität führen zu interessanten Forschungsfragestellungen, die im Graduiertenkolleg untersucht wurden. Ziel des Graduiertenkollegs war die Weiterentwicklung heterogener Hardware, heterogener Algorithmen und von Werkzeugen zur Softwareentwicklung auf heterogenen Plattformen. Das Graduiertenkolleg hat auf allen diesen Gebieten erfolgreich gearbeitet und konnte international sichtbare Ergebnisse erzielen. So wurden im Projektbereich A „Neue Hardwarearchitekturen“ neuartige Architekturen für Smart Cameras entwickelt, bei denen umfangreiche Bildoperationen sensornah durchgeführt werden. Schwerpunkte waren dabei die analoge Signalverarbeitung direkt auf dem Sensor oder mittels neuartiger 3D-Architekturen, sowie die energiegewahre Videokompression. Als besonders fruchtbar hat sich die Zusammenarbeit mit dem Projektbereich B „Methoden und Werkzeuge“ erwiesen. In diesem Bereich konnten neue Methoden und Werkzeuge entwickelt werden, die eine Modellierung, Abstraktion, Parallelisierung und Optimierung heterogener Bildsysteme möglich machen, und es wurde an Systemsoftware für heterogene Bildsysteme geforscht. Im Zusammenspiel zwischen den beiden Teilbereichen entstanden neue domänenspezifische Sprachen für einen durchgängigen, heterogenen Systementwurf. Auch im dritten Teilbereich C „Algorithmen und Anwendungen“ konnten sehr gute Forschungsergebnisse erzielt werden, vor allem auf dem Gebiet der medizinischen Bilddaten, der 3D-Geometrieerfassung und der 3D-Bildsynthese. Als Beispiele können neue Verfahren zur Rekonstruktion und Analyse von CT-Daten oder zur 3D-Erfassung und Veränderung von Gesichtern in Videos genannt werden. Gerade letztere Arbeit erzielte eine große öffentliche Aufmerksamkeit, auch außerhalb Deutschlands. Auch von Seiten der Anwendung erfolgte eine enge Kopplung an die anderen Projektbereiche, z.B. in Form einer durchgängigen Modellierung und Entwicklung einer Quadcopter-Steuerung. Der Erfolg und die internationale Sichtbarkeit spiegeln sich in den über 300 internationalen, begutachteten Publikationen, die in der Zeit des Graduiertenkollegs veröffentlicht werden konnten, wider. Das Graduiertenkolleg hat innerhalb der verschiedenen beteiligten Disziplinen der Informatik und der Elektrotechnik neue Brücken geschlagen und neue Themenfelder eröffnet. Im Rahmen des Graduiertenkollegs entstanden hochklassige Promotionen. Den Doktoranden wurden umfangreiche Möglichkeiten für Auslandsaufenthalte gegeben, bei denen internationale Kooperationen vertieft und neu geschaffen werden konnten. Das Graduiertenkolleg hat durch den Aufbau neuer Vorlesungen auch in der Lehre neue Schwerpunkte gesetzt. Ebenso ist es gelungen, begabte Studenten frühzeitig über Bachelor-, Master- und Projektarbeiten in das Graduiertenkolleg einzubinden, sie an die Forschungsarbeit heranzuführen und als Promovenden zum erfolgreichen Abschluss zu bringen.

Publications

• „An Image Processing Pipeline for fast Spot Detection in Smart Camera Systems“. In: Proceedings of Embedded World Conference. Nürnberg: Design & Elektronik, (2012), S. 1–9
  M. Reichenbach, M. Schmidt, T. Nieszner und D. Fey
  
• „Implantable Antenna for Medical Sensor Platforms“. In: IEEE 19th International Conference on Microwave Radar and Wireless Communications (MIKON). Bd. 1. (Mai 2012), S. 402–405
  C. Söll, J. Walk, T. Ußmüller, G. Fischer und R. Weigel
  (See online at https://doi.org/10.1109/MIKON.2012.6233487)
• „ How we stopped worrying about content and love the metadata. Erlangen : Friedrich-Alexander Universität. 2013. - Forschungsbericht. 4 Seiten (First IEEE Information Forensics and Security Technical Committee (IFS-TC) Image Forensics Challenge)
  T. Gloe, M. Kirchner und C. Riess
  
• „A Prototype of an Adaptive Computer Vision Algorithm on an MPSoC Architecture“. In: Proceedings of the Conference on Design and Architectures for Signal and Image Processing (DASIP). (Cagliari, Italy). IEEE, (Okt. 2013), S. 353–354. ISBN: 979-10-92279-01-6
  É. Sousa, A. Tanase, F. Hannig und J. Teich
  
• „A video guided solution for screw insertion in orthopedic plate fixation“. In: SPIE Medical Imaging. International Society for Optics und Photonics. (2013), S. 86710X– 86710X
  J. Magaraggia, G. Kleinszig, R. Graumann, E. Angelopoulou und J. Hornegger
  (See online at https://doi.org/10.1117/12.2007718)
• „Acceleration of Optical Flow Computations on Tightly-Coupled Processor Arrays“. In: Proceedings of the 25th Workshop on Parallel Systems and Algorithms (PARS). (Erlangen, Germany). Bd. 30. Mitteilungen – Gesellschaft für Informatik e. V., Parallel-Algorithmen und Rechnerstrukturen. Gesellschaft für Informatik e. V., (Apr. 2013), S. 80–89
  É. Sousa, A. Tanase, V. Lari, F. Hannig, J. Teich, J. Paul, W. Stechele, M. Kröhnert und T. Asfour
  
• „Accuracy and Performance Analysis of Harris Corner Computation on Tightly-Coupled Processor Arrays“. In: Proceedings of the Conference on Design and Architectures for Signal and Image Processing (DASIP). (Cagliari, Italy). IEEE, (Okt. 2013), S. 88–95. ISBN: 979-10-92279-01-6
  É. Sousa, A. Tanase, F. Hannig und J. Teich
  
• „Atlas-based linear volume-of-interest (ABL-VOI) image correction“. In: SPIE Medical Imaging 2013. Hrsg. Von R. M. Nishikawa und B. R. Whiting. Bd. 8668. Lake Buena Vista (Orlando Area), Florida, USA, (2013), S. 8668–83
  A. Maier, Z. Jiang, J. Jordan, C. Riess, H. Hofmann und J. Hornegger
  (See online at https://doi.org/10.1117/12.2006843)
• „Calibration of a Camera-Based Guidance Solution for Orthopedic and Trauma Surgery“. In: Bildverarbeitung für die Medizin 2013. Springer, (2013), S. 27– 32
  J. Magaraggia, A. Egli, G. Kleinszig, R. Graumann, E. Angelopoulou und J. Hornegger
  (See online at https://doi.org/10.1007/978-3-642-36480-8_7)
• „CONRAD - A software framework for cone-beam imaging in radiology“. In: Medical Physics 40.11 (2013)
  A. Maier, H. Hofmann, M. Berger, P. Fischer, C. Schwemmer, H. Wu, K. Müller, J. Hornegger, J.-H. Choi, C. Riess, A. Keil und R. Fahrig
  (See online at https://doi.org/10.1118/1.4824926)
• „Continuous Integration and Automation for Devops“. In: IAENG Transactions on Engineering Technologies Special Edition of the World Congress on Engineering and Computer Science 2011. Hrsg. von H. K. Kim, S.-I. Ao und B. B. Rieger. 1. Aufl. Lecture Notes in Electrical Engineering. Dordrecht, (2013), S. 345–358. ISBN: 9400747853
  A. Schäfer, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1007/978-94-007-4786-9_28)
• „Dose Reduction Achieved by Dynamically Collimating the Redundant Rays in Fan-beam and Cone-beam CT“. In: Proceedings of the IEEE NSS/MIC 2013. Seoul, South Korea: IEEE, (2013), S. 1–4
  Y. Xia, M. Berger, C. Riess, J. Hornegger und A. Maier
  (See online at https://doi.org/10.1109/NSSMIC.2013.6829341)
• „Fast image processing for optical metrology utilizing heterogeneous computer architectures“. In: Computers & Electrical Engineering (2013)
  M. Reichenbach, R. Seidler, B. Pfundt und D. Fey
  (See online at https://doi.org/10.1016/j.compeleceng.2013.09.008)
• „Hyperspectral Image Visualization with a 3-D Selforganizing Map“. In: Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, Juni (2013), S. 1–4
  J. Jordan und E. Angelopoulou
  (See online at https://doi.org/10.1109/WHISPERS.2013.8080607)
• „Interactive Direct Volume Rendering with Many-light Methods and Transmittance Caching“. In: Vision, Modeling, and Visualization. Lugano: Eurographics Association, (2013), S. 195–202
  C. Weber, A. Kaplanyan, M. Stamminger und C. Dachsbacher
  (See online at https://doi.org/10.2312/PE.VMV.VMV13.195-202)
• „Mean-shift Clustering for Interactive Multispectral Image Analysis“. In: IEEE International Conference on Image Processing. (Sep. 2013), S. 3790–3794
  J. Jordan und E. Angelopoulou
  (See online at https://doi.org/10.1109/ICIP.2013.6738781)
• „Modeling the Energy Consumption of HEVC Intra Decoding“. In: Proc. IEEE International Conference on Systems, Signals and Image Processing (IWSSIP). Bukarest, Rumämien, (Juli 2013), S. 91–94
  C. Herglotz, D. Springer, A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/IWSSIP.2013.6623457)
• „Real-time 3D Reconstruction at Scale using Voxel Hashing“. In: ACM Transactions on Graphics (TOG) 32.6 (2013), S. 1–11
  M. Nießner, M. Zollhöfer, S. Izadi und M. Stamminger
  (See online at https://doi.org/10.1145/2508363.2508374)
• „Real-time Local Displacement using Dynamic GPU Memory Management“. In: Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics (HPG ’13). ACM, (2013), S. 63–72
  H. Schäfer, B. Keinert und M. Stamminger
  (See online at https://doi.org/10.1145/2492045.2492052)
• „Smart Sensor Architectures for Embedded Biosignal Analysis“. In: Proceedings of the Conference on Design and Architectures for Signal and Image Processing. Cagliari, (2013)
  B. Pfundt, M. Reichenbach, B. Eskofier und D. Fey
  
• „TV or not TV? That is the Question“. In: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Hrsg. von R. M. Leahy und J. Qi. Lake Tahoe, CA, USA, (2013), S. 341–344
  C. Riess, M. Berger, H. Wu, M. Manhart, R. Fahrig und A. Maier
  
• Application-driven Reconfiguration of Shared Resources for Timing Predictability of MPSoC Platforms“. In: Proceedings of Asilomar Conference on Signals, Systems, and Computers (ACSSC). (Pacific Grove, CA, USA). IEEE, 2.–5. Nov. 2014, S. 398–403. ISBN: 978-1-4799-8297-4
  D. Gangadharan, É. Sousa, V. Lari, F. Hannig und J. Teich
  (See online at https://doi.org/10.1109/ACSSC.2014.7094471)
• „3-D Mesh CompensatedWavelet Lifting for 3-D+t Medical CT Data“. In: Proc. Intl. Conf. on Image Processing (ICIP). Paris, France, (2014), S. 3631–3635
  W. Schnurrer, T. Richter, J. Seiler, C. Herglotz und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2014.7025737)
• „A Cone-beam Reconstruction Algorithm for Dose-minimized Short Scan and Super Short Scan“. In: Proceedings of the Third International Conference on Image Formation in X-Ray ComputedTomography. Hrsg. von F. Noo. Salt Lake City, UT, USA, (2014), S. 178–181
  Y. Xia, F. Dennerlein, S. Bauer, M. Berger, J. Hornegger und A. Maier
  
• „Accelerated Hybrid Image Reconstruction for Non-Regular Sampling Color Sensors“. In: Proc. IEEE International Conference on Visual Communications and Image Processing (VCIP). Valletta, Malta, (Dez. 2014), S. 217–220
  M. Bätz, A. Eichenseer, M. Jonscher, J. Seiler und A. Kaup
  (See online at https://doi.org/10.1109/VCIP.2014.7051543)
• „An error-based recursive filling ordering for image error concealment“. In: Proceedings of ICIP. Paris, France, (Okt. 2014), S. 2517–2521
  J. Koloda, J. Seiler, A. Kaup, V. Sánchez und A. M. Peinado
  (See online at https://doi.org/10.1109/ICIP.2014.7025509)
• „An Unsupervised Material Learning Method for Imaging Spectroscopy“. In: IEEE World Congress on Computational Intelligence. Beijing: IEEE, (2014), S. 2428–2435
  J. Jordan, E. Angelopoulou und A. Robles-Kelly
  (See online at https://doi.org/10.1109/IJCNN.2014.6889441)
• „Automatic Removal of Externally Attached Fiducial Markers in Cone Beam Carm CT“. In: Bildverarbeitung für die Medizin 2014. Hrsg. von H. Handels und T. Deserno. Aachen, (2014), S. 168–173
  M. Berger, C. Forman, C. Schwemmer, J. H. Choi, K. Müller, A. Maier, J. Hornegger und R. Fahrig
  
• „Code Generation for Embedded Heterogeneous Architectures on Android“. In: Proceedings of the Conference on Design, Automation and Test in Europe (DATE). IEEE. Dresden, Germany, 24.–28. (März 2014), S. 86:1–86:6
  R. Membarth, O. Reiche, F. Hannig und J. Teich
  (See online at https://doi.org/10.7873/DATE.2014.099)
• „Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs“. In: Proceedings of the First International Workshop on FPGAs for Software Programmers (FSP). (Munich, Germany).1. Sep. 2014, S. 21–26
  M. Schmid, O. Reiche, C. Schmitt, F. Hannig und J. Teich
  (See online at https://doi.org/10.48550/arXiv.1408.4721)
• „Code Generation from a Domain-specific Language for C-based HLS of Hardware Accelerators“. In: Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS). ACM. New Delhi, India, 12.–17. (Okt. 2014), 17:1–17:10
  O. Reiche, M. Schmid, F. Hannig, R. Membarth und J. Teich
  (See online at https://doi.org/10.1145/2656075.2656081)
• „Coding of Distortion-Corrected Fisheye Video Sequences Using H.265/HEVC“. In: Proc. IEEE International Conference on Image Processing (ICIP). Paris, Frankreich, (Okt. 2014), S. 4132–4136
  A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2014.7025839)
• „Defmacro for C: Lightweight, Ad Hoc Code Generation“. In: Proceedings of ELS 2014 7rd European Lisp Symposium. (2014), S. 80–87
  K. Selgrad, A. Lier, M. Wittmann, D. Lohmann und M. Stamminger
  
• „Designing and Manufacturing of Real EmbeddedMulti-Core CPUs: A Holistic Teaching Approach in Computer Architecture“. In: Proceedings of the Tenth Workshop on Microelectronics Education. Tallin, (2014)
  M. Reichenbach, B. Pfundt und D. Fey
  (See online at https://doi.org/10.1109/EWME.2014.6877428)
• „Effective One Step-iterative Fiducial Markerbased Compensation for Involuntary Motion inWeight-bearing C-arm Conebeam CT Scanning of Knees“. In: Proc. SPIE Medical Imaging 2014. San Diego, California, United States: SPIE, (2014), S. 9033–36
  J.-H. Choi, A. Maier, M. Berger und R. Fahrig
  (See online at https://doi.org/10.1117/12.2043771)
• „Enhanced Sphere Tracing“. In: Proceedings of the Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference. Hrsg. von A. Giachetti. Cagliari, Italy: Eurographics Association, (2014), S. 1–8. ISBN: 978-3-905674-72-9
  B. Keinert, H. Schäfer, J. Korndörfer, U. Ganse und M. Stamminger
  (See online at https://dx.doi.org/10.2312/stag.20141233)
• „Estimating Video Decoding Energies And Processing Times Utilizing Virtual Hardware“. In: Proceedings of 3PMCES Workshop. Design, Automation & Test in Europe (DATE). Hrsg. von EDAA. Dresden, 2014, S. 1–2
  S. Berschneider, C. Herglotz, M. Reichenbach, D. Fey und A. Kaup
  
• „Estimation of missingfan-beam projections using frequency consistency conditions“. In: Proceedings of the third international conference on image formation in x-ray computed tomography. Hrsg. von F. Noo. Salt Lake City, UT, USA, (2014), S. 203– 207
  M. Pohlmann, M. Berger, A. Maier, J. Hornegger und R. Fahrig
  
• „Fast and Generic Hardware Architecture for Stereo Block Matching Applications on Embedded Systems“. In: Proceedings of ReConFig’ 14. Hrsg. von R. Cumplido. Cancun, Mexico, (2014), S. 1–6
  K. Häublein, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1109/ReConFig.2014.7032518)
• „Frequency selective extrapolation with residual filtering for image error concealment“. In: Proceedings of ICASSP. Florence, Italy, Mai 2014, S. 1976–1980
  J. Koloda, J. Seiler, A. Kaup, V. Sánchez, und A.M. Peinado
  (See online at https://doi.org/10.1109/ICASSP.2014.6853944)
• „How to Avoid Model Interferencesfor Test-driven Agile Simulation based on Standardized UML Profiles“. In: Proc. of the Symposium on Theory of Modeling and Simulation. Tampa, FL, USA, Apr. (2014), S. 540–545
  V. Schneider, A. Yupatova, W. Dulz und R. German
  (See online at https://dl.acm.org/doi/10.5555/2665008.2665043)
• „Improved trajectories in C-Arm computed tomography for non-circular fields of view“. In: Proceedings of the third international conference on image formation in x-ray computed tomography. Hrsg. von F. Noo. Salt Lake City, UT, USA, 2014, S. 274– 278
  M. Herbst, F. Schebesch, M. Berger, R. Fahrig, J. Hornegger und A. Maier
  
• „Increasing the Credibility of MR Spectroscopy-Based Automatic Brain-Tumor Classification Systems“. In: 2014 IEEE International Symposium on Biomedical Imaging. Beijing, China: IEEE, (2014), S. 345–348. ISBN: 978-1-4673-1961-4
  M. Berger, K. Sembritzki, J. Hornegger und C. Bauer
  (See online at https://doi.org/10.1109/ISBI.2014.6867879)
• „Interactive modelbased reconstruction of the human head using an RGB-D sensor“. In: Comp. Anim. Virtual Worlds, 25. 2014, S. 213–222
  M. Zollhöfer, J. Thies, M. Colaianni, M. Stamminger und G. Greiner
  (See online at https://doi.org/10.1002/cav.1584)
• „Local Painting and Deformation of Meshes on the GPU“. In: Computer Graphics Forum (2014)
  H. Schäfer, B. Keinert, M. Nießner und M. Stamminger
  (See online at https://doi.org/10.1111/cgf.12456)
• „Low-Cost Real-Time 3D Reconstruction of Large-Scale Excavation Sites using an RGB-D Camera“. In: EUROGRAPHICS Workshop on Graphics and Cultural Heritage. Hrsg. Von R. Klein und P. Santos. Darmstadt, (2014)
  M. Zollhöfer, C. Siegl, B. Riffelmacher, M. Vetter, B. Dreyer, M. Stamminger und F. Bauer
  (See online at https://doi.org/10.2312/gch.20141298)
• „Modeling the Energy Consumption of HEVC P- and B-Frame Decoding“. In: Proc. Intl. Conf. on Image Processing (ICIP). Hrsg. von IEEE und IEEE. Paris, Frankreich, (2014), S. 3661-3665
  C. Herglotz, D. Springer und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2014.7025743)
• „Motion Compensated Fan-BeamCT by Enforcing Fourier Properties of the Sinogram“. In: Proceedings of the third international conference on image formation in x-ray computed tomography. Hrsg. von F. Noo. Salt Lake City, UT, USA, (2014), S. 329–332
  M. Berger, A. Maier, Y. Xia, J. Hornegger und R. Fahrig
  
• „Multi Sloth: An Efficient Multi-Core RTOS using Hardware-Based Scheduling“. In: Proceedings of the 26th Euromicro Conference on Real-Time Systems (ECRTS). Hrsg. von I. C. Society. Madrid, Spain, (2014), S. 189–198. ISBN: 978-1-4799-5798-9
  R. Müller, D. Danner, W. Schröder-Preikschat und D. Lohmann
  (See online at https://doi.org/10.1109/ECRTS.2014.30)
• „On the accuracy of a video-based drill-guidance solution for orthopedic and trauma surgery: preliminary results“. In: SPIE Medical Imaging. International Society for Optics und Photonics. (2014), S. 903610–903610
  J. Magaraggia, G. Kleinszig, W. Wei, M. Weiten, R. Graumann, E. Angelopoulou und J. Hornegger
  (See online at https://doi.org/10.1117/12.2043508)
• „Patient-bounded Extrapolation for 3D Region of Interest Reconstruction in C-arm CT“. In: Proceedings of the third international conference on image formation in x-ray computed tomography. Hrsg. von F. Noo. Salt Lake City, UT, USA, (2014), S. 414–417
  Y. Xia, S. Bauer, A. Maier, M. Berger und J. Hornegger
  
• „Prozessflexible Steuerung von Industrierobotern“. In: wt Werkstattstechnik online 9 (2014), S. 535–540
  M. Brossog, C. Hartmann, J. Kohl, J. Merhof, M. Reichenbach, D. Fey und J. Franke
  
• „Real-Time Deformation of Subdivision Surfaces from Object Collisions“. In: Proceedings of the 6th High-Performance Graphics Conference. ACM / Eurographics. (2014)
  H. Schäfer, B. Keinert, M. Nießner, C. Buchenau, M. Guthe und M. Stamminger
  (See online at https://doi.org/10.2312/hpg.20141097)
• „Real-Time Motion Classification of HD Video Sequences on Embedded Systems.“ In: Proc. IEEE 6th European Embedded Design in Education and Research Conference (EDERC). Milano, Italy, 2014, S. 157-161
  D. Springer, C. Herglotz, F. Simmet, D. Niederkorn und A. Kaup
  (See online at https://doi.org/10.1109/EDERC.2014.6924379)
• „Real-time Non-rigid Reconstruction using an RGB-D Camera“. In: ACM Transactions on Graphics (TOG) 33.4 (2014), S. 1–12
  M. Zollhöfer, M. Nießner, S. Izadi, C. Rhemann, C. Zach, M. Fisher, C. Wu, A. Fitzgibbon, C. Loop, C. Theobalt und M. Stamminger
  (See online at https://doi.org/10.1145/2601097.2601165)
• „Realtime Shading-based Refinement for Consumer Depth Cameras“. In: ACM Transactions on Graphics 33.6 (2014), S. 1–10
  C. Wu, M. Zollhöfer, M. Nießner, M. Stamminger, S. Izadi und C. Theobalt
  (See online at https://doi.org/10.1145/2661229.2661232)
• „Redundancies in X-ray images due to the epipolar geometry for transmission imaging“. In: Proceedings of the third international conference on image formation in x-ray computed tomography. Hrsg. von F. Noo. Salt Lake City, UT, USA, (2014), S. 333–337
  A. Aichert, N. Maass, Y. Deuerling-Zheng, M. Berger, M. Manhart, J. Hornegger, A. Maier und A. Doerfler
  
• „Region of Interest Reconstruction from Dose-minimized Super Short Scan Data“. In: Bildverarbeitung für die Medizin 2014. Aachen: Springer, (2014), S. 48–53
  Y. Xia, A. Maier, M. Berger und J. Hornegger
  (See online at https://doi.org/10.1007/978-3-642-54111-7_14)
• „Remote Powered Medical Implants for Telemonitoring“. In: Proceedings of the IEEE 102.11 (Nov. 2014), S. 1811–1832. ISSN: 0018-9219
  J. Walk, J. Weber, C. Söll, R. Weigel, G. Fischer und T. Ußmüller
  (See online at https://doi.org/10.1109/JPROC.2014.2359517)
• „Runtime Reconfigurable Bus Arbitration for Concurrent Applications on Heterogeneous MPSoC Architectures“. In: Proceedings of the 17th Euromicro Conference on Digital Systems Design (DSD). (Verona, Italy). IEEE, (Aug. 2014), S. 74–81. ISBN: 978-1-4799-5793-4
  É. Sousa, D. Gangadharan, F. Hannig und J. Teich
  (See online at https://doi.org/10.1109/DSD.2014.105)
• „Safer Sloth: Efficient, Hardware-Tailored Memory Protection“. In: Proceedings of the 20th Real-Time and Embedded Technology and Applications Symposium (RTAS). Hrsg. von R. West. Berlin, Germany, 2014, S. 37–47. ISBN: 978-1-4799-4691-4
  D. Danner, R. Müller, W. Schröder-Preikschat, W. Hofer und D. Lohmann
  (See online at https://doi.org/10.1109/RTAS.2014.6925989)
• „Self-Adaptive Harris Corner Detector on Heterogeneous Many-Core Processor“. In: Proceedings of the Conference on Design and Architectures for Signal and Image Processing (DASIP). (Madrid, Spain). IEEE, 8.–10. (Okt. 2014). ISBN: 979-10-92279-05-4
  J. Paul, W. Stechele, É. Sousa, V. Lari, F. Hannig, J. Teich, M. Kröhnert und T. Asfour
  (See online at https://doi.org/10.1109/DASIP.2014.7115616)
• „State of the Art Report on Real-time Rendering with Hardware Tessellation“. In: Proceedings of Eurographics 2014 (EG ’14). Wiley, (2014), S. 93–117
  H. Schäfer, M. Nießner, B. Keinert, M. Stamminger und C. Loop
  (See online at https://doi.org/10.2312/egst.20141037)
• „Stateless Level of Detail Lighting for Automotive Visualization“. In: Proc. Smart Tools and Apps for Graphics. Hrsg. von A. Giachetti. Cagliari, Italy, (2014), S. 29–36
  C. Weber und M. Stamminger
  (See online at https://doi.org/10.2312/stag.20141236)
• „Test-Driven Agile Simulation for Design of Image Processing Systems“. In: Proc. of 16th International Conference on Advances In System Testing and Validation Life Cycle (VALID). (2014)
  A. Yupatova, V. Schneider, W. Dulz und R. German
  
• „Towards a Performance-portable Description of Geometric Multigrid Algorithms using a Domain-specific Language“. In: Journal of Parallel and Distributed Computing (JPDC) 74.12 (Dez. 2014), S. 3191–3201
  R. Membarth, O. Reiche, C. Schmitt, F. Hannig, J. Teich, M. Stürmer und H. Köstler
  (See online at https://doi.org/10.1016/j.jpdc.2014.08.008)
• (2015). „Real-Time Reconstruction of Static and Dynamic Scenes.” Dissertation, Verlag Dr. Hut. ISBN: 978-3-8439-2116-9
  Zollhöfer, Michael
  
• A Portable Intra-operative Framework applied to Distal Radius Fracture Surgery“. In: MICCAI, Part I. Hrsg. von N. Navab, J. Hornegger, S. Wells und A. F. Frangi. LNCS. Springer Berlin / Heidelberg, (2015), S. 323–330
  J. Magaraggia, W. Wei, M. Weiten, G. Kleinszig, S. Vetter, J. Franke, K. Barth, E. Angelopoulou und J. Hornegger
  (See online at https://doi.org/10.1007/978-3-319-24553-9_40)
• Yield Analysation and Optimization Methods for Active CMOS Pixels“. In: Zuverlässigkeit und Entwurf (ZuE) (2015), S. 107–114
  C. Lindner, C. Söll, J. Röber, A. Bänisch und R. Weigel
  
• „2D/3D Registration for Motion Compensated Reconstruction in Cone-Beam CT of Knees Under Weight-Bearing Condition“. In: IFMBE Proceedings. Hrsg. von D. A. Jaffray. Toronto, Canada, (2015), S. 54–57. ISBN: 978-3-319-19387-8
  M. Berger, K. Müller, J.-H. Choi, A. Aichert, A. Maier und R. Fahrig.
  (See online at https://doi.org/10.1007/978-3-319-19387-8_14)
• „A CMOS Image Sensor with Analog Pre-Processing Capability Suitable for Smart Camera Applications“. In: IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS). Indonesien, (2015), S. 279–284
  C. Söll, L. Shi, A. Bänisch, T. Ußmüller und R.Weigel
  (See online at https://doi.org/10.1109/ISPACS.2015.7432780)
• „A Graph-Partition–Based Scheduling Policy for Heterogeneous Architectures“. In: Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS). (Grenoble, France). (2015), S. 22–27
  H. Wu, D. Lohmann und W. Schröder-Preikschat
  (See online at https://doi.org/10.48550/arXiv.1502.07451)
• „A Holistic Approach for Modeling and Synthesis of Image Processing Applications for Heterogeneous Computing Architectures“. In: Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS). (Grenoble, France).13. März 2015, S. 28–29
  C. Hartmann, A. Yupatova, M. Reichenbach, D. Fey und R. German
  
• „A Hybrid Motion Estimation Technique for Fisheye Video Sequences Based on Equisolid Re-Projection“. In: Proc. IEEE Internationl Conference on Image Processing (ICIP). Québec City, Kanada, (Sep. 2015), S. 3565–3569
  A. Eichenseer, M. Bätz, J. Seiler und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2015.7351468)
• „A Multi-Functional Reconfigurable Low-Power Ultra-High PSRR CMOS Reference-System“. In: IEEE Conference on PhD Research in Microelectronics and Electronics (PRIME). Hrsg. von I. P. 2015. Glasgow, (2015), S. 220–223
  C. Söll, A. Bänisch, J. Röber, L. Shi und R. Weigel
  (See online at https://doi.org/10.1109/PRIME.2015.7251374)
• „A Unified Bayesian Approach to Multi-Frame Super-Resolution and Single-Image Upsampling in Multi-Sensor Imaging“. In: Proceedings of the British Machine Vision Conference (BMVC). Hrsg. von X. Xie und M. W. Jones. Swansea, Wales, (2015), S. 1–143. ISBN: 1-901725- 53-7
  T. Köhler, J. Jordan, A. Maier und J. Hornegger
  (See online at https://doi.org/10.5244/C.29.143)
• „Analog Computation Methods with the help of analog and pseudo-digital Carry Signals“. In: IEEE European conference on circuit theory and design (ECCTD). Hrsg. von I. E. 2015. Trondheim, (2015), S. 1–4
  C. Söll, L. Shi, A. Bänisch, T. Ußmüller und R. Weigel
  (See online at https://doi.org/10.1109/ECCTD.2015.7300039)
• „Automatic Motion Estimation and Compensation Framework forWeight-bearing C-arm CT scans using Fiducial Markers“. In: IFMBE Proceedings. Hrsg. von D. A. Jaffray. Toronto, Canada, (2015), S. 58–61. ISBN: 978-3-319-19387-8
  K. Müller, M. Berger, J.-H. Choi, A. Maier und R. Fahrig
  (See online at https://doi.org/10.1007/978-3-319-19387-8_15)
• „Automatic Optimization of Hardware Accelerators for Image Processing“. In: Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS). (Grenoble, France). 13. März 2015, S. 10–15
  O. Reiche, K. Häublein, M. Reichenbach, F. Hannig, J. Teich und D. Fey
  (See online at https://doi.org/10.48550/arXiv.1502.07448)
• „Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing“. In: Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015). Hrsg. von F. Hannig. Grenoble, France, (2015), S. 16–21
  L. Shi, C. Söll, A. Bänisch, R. Weigel, J. Seiler und T. Ußmüller
  (See online at https://doi.org/10.48550/arXiv.1502.07449)
• „Data Transmission via GSM Voice Channel for End to End Security“. In: In Proceedings of the IEEE International Conference on Consumer Electronics (ICCE) – Berlin. (Berlin, Germany). (Sep. 2015)
  M. Özkan und B. Ors
  (See online at https://doi.org/10.1109/ICCE-Berlin.2015.7391285)
• „Denoising-based image reconstruction from pixels located at non-integer positions“. In: Proceedings of ICIP. Québec, Canada, (Sep. 2015), S. 4565–4569
  J. Koloda, J. Seiler und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2015.7351671)
• „Dynamic detector offsets for field of view extension in C-arm computed tomography with application to weight-bearing imaging“. In: Medical Physics 42.5 (2015), S. 2718–2729
  M. Herbst, F. Schebesch, M. Berger, J.-H. Choi, R. Fahrig, J. Hornegger und A. Maier
  (See online at https://doi.org/10.1118/1.4915542)
• „Dynamic Feature-Adaptive Subdivision“.In: Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. ACM. (2015)
  H. Schäfer, J. Raab, B. Keinert und M. Nießner
  (See online at https://doi.org/10.1145/2699276.2699282)
• „Epipolar Consistency in Transmission Imaging“. In: IEEE Transactions on Medical Imaging 34.10 (2015), S. 1–15
  A. Aichert, M. Berger, J. Wang, N. Maass, A. Doerfler, J. Hornegger und A. Maier
  (See online at https://doi.org/10.1109/TMI.2015.2426417)
• „Estimating The HEVC Decoding Energy Using High-Level Video Features“. In: Proc. of European Signal Processing Conference (EUSIPCO). Hrsg. Von EURASIP. Nice, France, (2015), S. 1591-1595
  C. Herglotz und A. Kaup
  (See online at https://doi.org/10.1109/EUSIPCO.2015.7362652)
• „Estimating the HEVC Decoding Energy Using the Decoder Processing Time“. In: Proc. IEEE Int. Symp. on Circuits and Systems (ISCAS). Hrsg. von I. S. Society. Lisbon, Portugal, (2015), S. 513–516
  C. Herglotz, E. Walencik und A. Kaup
  (See online at https://doi.org/10.1109/ISCAS.2015.7168683)
• „Estimation of Non-Functional Properties for Embedded Hardware with Application to Image Processing“. In: Proc. 22nd Reconfigurable Architectures Workshop (RAW). Hayderabat, Indien, (2015), S. 190-195
  C. Herglotz, A. Hendricks, M. Reichenbach, J. Seiler, D. Fey und A. Kaup
  (See online at https://doi.org/10.1109/IPDPSW.2015.58)
• „FAUPU – A Design Framework for the Development of Programmable Image Processing Architectures“. In: Proceedings of ReConFig’ 15. Hrsg. von R. Cumplido. Mayan Riveria, Mexico, (2015), S. 1–8
  M. Reichenbach, T. Lieske, S. Vaas, K. Häublein und D. Fey
  (See online at https://doi.org/10.1109/ReConFig.2015.7393309)
• „Fourier Consistency-Based Motion Estimation in Rotational Angiography”. In: Bildverarbeitung für die Medizin (BVM) (2017), S. 110-116
  M. Unberath, M. Berger, A. Aichert und A. Maier
  (See online at https://doi.org/10.1007/978-3-662-54345-0_28)
• „Framework for Parameter Analysis of FPGA-based Image Processing Architectures“. In: Proceedings of International Conference on Systems, Architectures, Modeling and Simulation (SAMOS). Samos, (2015)
  M. Reichenbach, B. Pfundt und D. Fey
  (See online at https://doi.org/10.1109/SAMOS.2015.7363664)
• „Fully Automatic Head Motion Correction for Interventional C-arm Systems using Fiducial Markers“. In: Proceedings of the 13th Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Hrsg. von S. Glick und M. King. Newport,RI, USA, (2015), S. 534–537
  K. Müller, M. Berger, J.-H. Choi, S. Datta, S. Gehrisch, T. Moore, M. P. Marks, A. Maier und R. Fahrig
  
• „Hardware-software cosimulation for medical X-ray control units“. In: Proceedings of the Eighth EAI International Conference on Simulation Tools and Techniques. Hrsg. von G. Theodoropoulos, G. T. S. Huat und C. Szabo. Athen, (2015)
  B. Kleinert, G. R. Rahimi, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.4108/eai.24-8-2015.2261148)
• „Hybrid Super-Resolution Combining Example-Based Single-Image and Interpolation-Based Multi- Image Reconstruction Approaches“. In: Proc. IEEE Internationl Conference on Image Processing (ICIP). Québec City, Kanada, (Sep. 2015), S. 58–62
  M. Bätz, A. Eichenseer, J. Seiler, M. Jonscher und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2015.7350759)
• „Image-based Compensation for Involuntary Motion in Weight-bearing C-arm Cone-beam CT Scanning of Knees“. In: Proc. SPIE Medical Imaging 2015. Hrsg. von S. C. Horii und D. Manning. Bd. 9413. Orlando, FL, (2015)
  M. Unberath, J.-H. Choi, M. Berger, A. Maier und R. Fahrig
  (See online at https://doi.org/10.1117/12.2081559)
• „IPOL - A Domain Specific Language for Image Processing Applications“. In: Proceedings of the International Symposium on InternationalConference on Systems (ICONS) (2015). Barcelona, 2015
  C. Hartmann, M. Reichenbach und D. Fey
  
• „Lightweight, Generative Variant Exploration for High-performance Graphics Applications“. In: Proceedings of the 2015 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences. GPCE 2015. Pittsburgh, PA, USA: ACM, (2015), S. 141–150. ISBN: 978-1-4503-3687-1
  K. Selgrad, A. Lier, F. Köferl, M. Stamminger und D. Lohmann
  (See online at https://doi.org/10.1145/2814204.2814220)
• „Loop Coarsening in C-based High- Level Synthesis“. In: Proceedings of the 26th IEEE International Conference on Applicationspecific Systems, Architectures and Processors (ASAP). (Toronto, Canada). IEEE, (2015), S. 166–173
  M. Schmid, O. Reiche, F. Hannig und J. Teich
  (See online at https://doi.org/10.1109/ASAP.2015.7245730)
• „Merging OMG Standards in a General Modeling, Transformation, and Simulation Framework“. In: Proc. of 8th International Conference on Simulation Tools and Techniques (SIMUTools). Athens, Greece, (Aug. 2015)
  V. Schneider, A. Yupatova, W. Dulz und R. German
  
• „Novel Image Processing Architecture for 3D Integrated Circuits“. In: Mitteilungen - Gesellschaft für Informatik e.V. Hrsg. von G. für Informatik e.V. Potsdam, (2015)
  B. Pfundt, M. Reichenbach, D. Fey und C. Söll
  
• „Over-Exposure Correction in CT Using Optimization-Based Multiple Cylinder Fitting“. In: Bildverarbeitung für die Medizin 2015. Hrsg. von H. Handels. Lübeck, (2015), S. 35– 40
  A. Preuhs, M. Berger, Y. Xia, A. Maier, J. Hornegger und R. Fahrig
  (See online at https://doi.org/10.1007/978-3-662-46224-9_8)
• „Patient-bounded extrapolation using low-dose priors for volume-of-interest imaging in C-arm CT“. In: Medical Physics 42.4 (2015), S. 1787–1796
  Y. Xia, S. Bauer, A. Maier, M. Berger und J. Hornegger
  (See online at https://doi.org/10.1118/1.4914135)
• „Projection and Reconstruction- Based Noise Filtering Methods in Cone Beam CT“. In: Bildverarbeitung für die Medizin 2015. Hrsg. von H. Handels. Lübeck, (2015), S. 59–64
  B. Lorch, M. Berger, J. Hornegger und A. Maier
  (See online at https://doi.org/10.1007/978-3-662-46224-9_12)
• „Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors“. In: Bildverarbeitung für die Medizin 2015. Hrsg. von S. B. Heidelberg. Lübeck, Germany, (2015), S. 137–142. ISBN: 978-3-662-46223-2
  Y. Lu, M. Manhart, O. Taubmann, T. Zobel, Q. Yang, J.-h. Choi, M. Wu, A. Doerfler, R. Fahrig, Q. Ren, J. Hornegger und A. Maier
  (See online at https://doi.org/10.1007/978-3-662-46224-9_25)
• „Projection-based Material Decomposition by Machine Learning using Imagebased Features for Computed Tomography“. In: The 13th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine. Newport, Rhode Island, USA: Fully3D 2015, (2015), S. 448–451
  Y. Lu, J. Geret, M. Unberath, M. Manhart, Q. Ren, R. Fahrig, J. Hornegger und A. Maier
  
• „Real-Time Correlation for Locating Systems Utilizing Heterogeneous Computing Architectures“. In: Proceedings of the Conference on Design & Architectures for Signal & Image Processing. Bd. 1. Cracow: Electronic Chips & System design initiative (ECSI), (2015), S. 1–8
  M. Reichenbach, M. Kasparek, M. Alawieh, K. Häublein und D. Fey
  (See online at https://doi.org/10.1109/DASIP.2015.7367239)
• „Real-time Expression Transfer for Facial Reenactment“. In: ACM Transactions on Graphics (TOG) 34.6 (2015)
  J. Thies, M. Zollhöfer, M. Nießner, L. Valgaerts, M. Stamminger und C. Theobalt
  (See online at https://doi.org/10.1145/2816795.2818056)
• „Real-Time Pixel Luminance Optimization for Dynamic Multi-Projection Mapping“. In: ACM Transactions on Graphics (TOG) 34.6 (2015), S. 237:1-237:11
  C. Siegl, M. Colaianni, L. Thies, J. Thies, M. Zollhöfer, S. Izadi, M. Stamminger und F. Bauer
  (See online at https://doi.org/10.1145/2816795.2818111)
• „Real-Time Rendering Techniques with Hardware Tessellation“. In: Computer Graphics Forum (2015). ISSN: 1467-8659
  M. Nießner, B. Keinert, M. Fisher, M. Stamminger, C. Loop und H. Schäfer
  (See online at https://doi.org/10.1111/cgf.12714)
• „Reconfigurable Buffer Structures for Coarse- Grained Reconfigurable Arrays“. In: Proceedings of the 5th IFIP International Embedded Systems Symposium (IESS). (Foz do Iguaçu, Brazil). Lecture Notes in Computer Science (LNCS). Springer, (Nov. 2015)
  É. Sousa, F. Hannig und J. Teich
  (See online at https://doi.org/10.1007/978-3-319-90023-0_18)
• „Resource Awareness on Heterogeneous MPSoCs for Image Processing“. In: Journal of Systems Architecture 61.10 (6. Nov. 2015), S. 668–680. ISSN: 1383-7621
  J. Paul, W. Stechele, B. Oechslein, C. Erhardt, J. Schedel, D. Lohmann, W. Schröder-Preikschat, M. Kröhnert, T. Asfour, É. Sousa, V. Lari, F. Hannig, J. Teich, A. Grudnitsky, L. Bauer und J. Henkel
  (See online at https://doi.org/10.1016/j.sysarc.2015.09.002)
• „Runtime Adaptation of Application Execution under Thermal and Power Constraints in Massively Parallel Processor Arrays“. In: Proceedings of the 18th International Workshop on Software and Compilers for Embedded Systems (SCOPES). (St. Goar, Germany). ACM, (Juni 2015), S. 121–124. ISBN: 978-1-4503-3593-5
  É. Sousa, F. Hannig, J. Teich, Q. Chen und U. Schlichtmann
  (See online at https://doi.org/10.1145/2764967.2771933)
• „Shading-based Refinement on Volumetric Signed Distance Functions“. In: ACM Transactions on Graphics (TOG) 34.4 (2015), S. 1–14
  M. Zollhöfer, A. Dai, M. Innmann, C. Wu, M. Stamminger, C. Theobalt und M. Nießner
  (See online at https://doi.org/10.1145/2766887)
• „Spherical Fibonacci Mapping“. In: ACM Trans. Graph. 34.6 (Okt. 2015), 193:1–193:7
  B. Keinert, M. Innmann, M. Sänger und M. Stamminger
  (See online at https://doi.org/10.1145/2816795.2818131)
• „Synthesis and Optimization of Image Processing Accelerators using Domain Knowledge“. In: Journal of Systems Architecture 61.10 (9. Okt. 2015), S. 646–658. ISSN: 1383-7621
  O. Reiche, K. Häublein, M. Reichenbach, M. Schmid, F. Hannig, J. Teich und D. Fey
  (See online at https://doi.org/10.1016/j.sysarc.2015.09.004)
• „Temporal Error Concealment for Fisheye Video Sequences Based on Equisolid Re-Projection“. In: Proc. European Signal Processing Conference (EUSIPCO). Nizza, Frankreich, (Sep. 2015), S. 1611– 1615
  A. Eichenseer, J. Seiler, M. Bätz und A. Kaup
  (See online at https://doi.org/10.1109/EUSIPCO.2015.7362656)
• "Using Memristor Technology for Multi-value Registers in Signed-digit Arithmetic Circuits". In: Proceedings of the Second International Symposium on Memory Systems, Alexandria, VA, USA, 2016, S. 442-454
  D. Fey, M. Reichenbach, C. Söll, M. Biglari, J. Röber und R. Weigel
  (See online at https://doi.org/10.1145/2989081.2989124)
• (2016). „Motion-corrected reconstruction in cone-beam computed tomography for knees under weight-bearing condition: Bewegungskorrigierte Bildrekonstruktion für die Kegelstrahl-Computertomographie von Knien unter Belastung“. Dissertation Online
  Berger, Martin
  
• “A SystemC Based Framework for Cycle Accurate Processor Simulation and Parameter Analysis”. In: 14th IFAC and IEEE Conference on Programmable Devices and Embedded Systems PDES 2016. IFAC- PapersOnLine vol. 49, No. 25, (2016), S. 1-7
  J. Kohl, C. Demel, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1016/j.ifacol.2016.12.016)
• „ Towards Material Decomposition on Large Field-of-View Flat panel Photon-Counting Detectors – First in vivo Results.“ In: Proceedings 4th internantional conference on Image formation in x-ray computed tomography. (2016), S. 479-482
  K. Müller, M. Ahmad, M. Spahn, J. Choi, S. Reitz, N. Köster, Y. Lu, R. Fahrig und A. Maier
  
• „3D Printing Based Production of Head and Neck masks for radiation Therapy Using Ct Volume Data: A Fully Automatic Framework.” In: Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: Fraom Nao to Macro. (2016), S. 403-406
  S. Chen, Y. Lu, C. Hopfgartner, M. Sühling, S. Seidel, J. Hornegger und A. Maier
  (See online at https://doi.org/10.1109/ISBI.2016.7493293)
• „A Bit Stream Feature Based Model for Video Decoding Energy Estimation”. In: Proc. Picture Coding Symposium, Nuremberg, Germany, (Dec. 2016)
  C. Herglotz, Y. Wen, B. Dai, M. Kränzler und A. Kaup
  (See online at https://doi.org/10.1109/PCS.2016.7906400)
• „A Case Study in Implementation-Space Exploration“. In: Proceedings of ELS 2016, 9th European Lisp Symposium. (2016), No. 5, S. 83-90
  A. Lier, L. Franke, M. Stamminger und K. Selgrad
  (See online at https://dl.acm.org/doi/10.5555/3005729.3005739)
• „A Data Set Providing Synthetic and Real-World Fisheye Video Sequences“. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Shanghai, China, (März 2016)
  A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/ICASSP.2016.7471935)
• „A High-Performance Image Processing DSL for Heterogeneous Architectures“. In: Proceedings of ELS 2016 9thEuropean Lisp Symposium, Krakau, Polen. (2016), No. 5, S. 39-46
  K. Selgrad, A. Lier, J. Dörntlein, O. Reiche und M. Stamminger
  (See online at https://dl.acm.org/doi/10.5555/3005729.3005734)
• „A Memory Management Library for CT Reconstruction on GPUs“. In: Bildverarbeitung für die Medizin 2016. Hrsg. von H. Handels. Berlin, (2016), S. 206–211
  H. Wu, M. Berger, A. Maier und W. Schröder-Preikschat
  (See online at https://doi.org/10.1007/978-3-662-49465-3_37)
• „A Tone Mapping Algorithm Suited for Analog-Signal Real-Time Image Processing“. In: Proceedings of the 12th International Conference on PhD Research in Microelectronics and Electronics (PRIME). (2016)
  L. Shi, D. Hadlich, C. Söll, T. Ußmüller und R. Weigel
  (See online at https://doi.org/10.1109/PRIME.2016.7519457)
• „An Application-Specific Instruction Set Processor for Power Quality Monitoring. In: O'Conner, Lisa (Ed.): Parallel and Distributed Processing Symposium Workshop (IPDPSW) (23th Reconfigurable Architectures Workshop (RAW), Chicago, (May, 2016). IEEE International, (2016), S. 181-188. ISBN 978-1-5090-2140-6
  S. Vaas, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1109/IPDPSW.2016.143)
• „Analog Non-Linear Transformation-Based Tone Mapping for Image Enhancement in Carm CT“. In: 2016 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). Hrsg. von IEEE. Straßburg, Frankreich, (2016)
  L. Shi, M. Berger, B. Bier, C. Söll, J. Röber, R. Fahrig, B. Eskofier, A. Maier und J. Maier
  (See online at https://doi.org/10.1109/NSSMIC.2016.8069490)
• „Analysis and Exploitation of CTU-Level Parallelism in the HEVC Mode Decision Process Using Actor-based Modeling“. In: Architecture of Computing Systems (ARCS). (2016), S. 263-276
  R. Rosales, C. Herglotz, M. Glaß, J. Teich und A. Kaup
  (See online at https://doi.org/10.1007/978-3-319-30695-7_20)
• „Bridge to Real Data: Empirical Multiple Material Calibration for Learning-Based Material Decomposition.” In: Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging (ISBI). (2016), S. 457-460
  Y. Lu, M. Berger, M. Manhart, J. Choi, M. Hoheisel, M. Kowarschik, R. Fahrig, Q. Ren, J. Hornegger und A. Maier
  (See online at https://doi.org/10.1109/ISBI.2016.7493306)
• „Combined Simulation and Testing Based on Standard UML Models“. In: Principles of Performance and Reliability Modeling and Evaluation. Hrsg. von L. Fiondella und A. Puliafito. Springer Series in Reliability Engineering. Springer International Publishing AG, (Juni 2016), S. 499-523
  V. Schneider, A. Deitsch, W. Dulz und R. German
  (See online at https://doi.org/10.1007/978-3-319-30599-8_19)
• „Dataflow optimization for programmable embedded image preprocessing accelerators”. In: IEEE (Ed.): Proceedings of ReConFig`16, Cancun, Mexiko, (2016), S. 1-8
  T. Lieske, M. Reichenbach, B. Ringlein und D. Fey
  (See online at https://doi.org/10.1109/ReConFig.2016.7857161)
• „Demo of Face2Face: Real-time Face Capture and Reenactment of RGB Videos”. In: Proceedings of SIGGRAPH 2016 ACM Siggraph, Art. No. 5, (2016)
  J. Thies, M. Zollhöfer, M. Stamminger, C. Theobalt und M. Nießner
  (See online at https://doi.org/10.1145/2929464.2929475)
• „Dynamic Pixel Binning allows Spatial and Angular Resolution Tradeoffs to improve Image Quality in X-Ray C-Arm CT“. In: IEEE International Symposium on Biomedical Imaging (ISBI). (2016), S. 577-580
  A. Steg, M. Reichenbach, C. Söll, L. Shi, A. Maier und C. Riess
  (See online at https://doi.org/10.1109/ISBI.2016.7493334)
• „Face2Face: Real-time Face Capture and Reenactment of RGB Videos“. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (2016), S. 2387-2395
  J. Thies, M. Zollhöfer, M. Stamminger, C. Theobalt und M. Nießner
  (See online at https://doi.org/10.1109/CVPR.2016.262)
• „Fast and Resource Aware Image Processing Operators Utilizing Highly Configurable IP Blocks“. In: Proceedings of the International Workshop on Applied Reconfigurable Computing (ARC). (Mangaratiba, Rio de Janeiro, Brazil). Hrsg. von V. Bonato, C. Bouganis und M. Gorgon. Bd. 9625. Lecture Notes in Computer Science (LNCS). Springer, 22.–24. (März 2016), S. 303–311
  K. Häublein, C. Hartmann, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1007/978-3-319-30481-6_24)
• „FPGA-Based Accelerator Design from a Domain-Specific-Language”. In: 2016 26th International Conference on Field Programmable Logic and Applications (FPL). (2016)
  M. A. Özkan, O. Reiche, F. Hannig und J. Teich
  (See online at https://doi.org/10.1109/FPL.2016.7577357)
• „HIPAcc: A Domain-Specific Language and Compiler for Image Processing“. In: IEEE Transactions on Parallel and Distributed Systems 27.1 (Jan. 2016), S. 210–224. ISSN: 1045-9219
  R. Membarth, O. Reiche, F. Hannig, J. Teich, M. Körner und W. Eckert
  (See online at https://doi.org/10.1109/TPDS.2015.2394802)
• „HIPAcc“. In: FPGAs for Software Programmers. Hrsg. von D. Koch, F. Hannig und D. Ziener. Springer, (Jan. 2016). Kap. 12. ISBN: 978-3-319-26406-6
  M. Schmid, O. Reiche, F. Hannig und J. Teich
  (See online at https://doi.org/10.1007/978-3-319-26408-0_12)
• „Hybrid Code Description for Developing Fast and Resource Efficient Image Processing Architectures“. In: Proceedings of the 16th International Conference on Systems: Architectures, Modeling and Simulation (SAMOS). (Island of Samos, Greece). (Juli 2016)
  K. Häublein, M. Reichenbach, O. Reiche, A. Özkan, D. Fey, F. Hannig und J. Teich
  (See online at https://doi.org/10.1109/SAMOS.2016.7818350)
• „IPAS – A Design Framework for Analysis, Synthesis and Optimization of Image Processing Applications for Heterogenous Computing Architectures“. In: Journal of Real-Time Image Processing (2016)
  C. Hartmann, K. Häublein, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1007/s11554-016-0587-x)
• „Joint Optimization of Rate, Distortion, and Decoding Energy for HEVC Intraframe Coding“. In: Proceedings of the IEEE Int. Conf. on Image Processing (ICIP). Phoenix, Arizona, USA, (Sep. 2016), S. 544-548
  C. Herglotz und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2016.7532416)
• „Joint Shape and Centroid Adaptive Frequency Selective Extrapolation for the Reconstruction of Arbitrarily Shaped Loss Areas“. In: Picture Coding Symposium. Nuremberg, Germany, (Dez. 2016)
  M. Bätz, W. Schnurrer, J. Koloda, A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/PCS.2016.7906367)
• „Joint Shape and Centroid Adaptive Frequency Selective Extrapolation for the Reconstruction of Arbitrarily Shaped Loss Areas“. In: Picture Coding Symposium. Nuremberg, Germany, (Dez. 2016)
  M. Bätz, W. Schnurrer, J. Koloda, A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/PCS.2016.7906367)
• „Low-Power Analog Smart Camera Sensor for Edge Detection“. In: Proceedings of the IEEE International Conference on Image Processing (ICIP). Phoenix, USA, (2016)
  C. Söll, L. Shi, J. Röber, M. Reichenbach, R. Weigel und A. Hagelauer
  (See online at https://doi.org/10.1109/ICIP.2016.7533193)
• „Low-Power High-Gain Operational Amplifier for Analog Image Pre-Processing in Smart Sensor Systems“.In: 15. ITG/GMM-Fachtagung Analog 2016. Bremen, Germany, (2016). S. 28-32
  C. Söll, T. Mai, L. Shi, J. Röber, T. Ußmüller, R.Weigel und A. Hagelauer
  
• „Marker-free motion correction in weight-bearing cone-beam CT of the knee joint“. In: Medical Physics 43.3 (2016)
  M. Berger, K. Müller, A. Aichert, M. Unberath, J. Thies, J.-H. Choi, R. Fahrig und A. Maier
  (See online at https://doi.org/10.1118/1.4941012)
• „Modeling the Energy Consumption of the HEVC Decoding Process“. In: IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) (2016), vol. 28, S. 217-229
  C. Herglotz, D. Springer, M. Reichenbach, B. Stabernack und A. Kaup
  (See online at https://doi.org/10.1109/TCSVT.2016.2598705)
• „Modeling, Programming and Performance Analysis of Automotive Environment Map Representations on Embedded GPUs“. In: Proceedings of the 18th IEEE International High-Level Design Validation and Test Workshop (HLDVT). (Santa Cruz, CA, USA). IEEE, 7.–8. Okt. 2016. ISBN: 978-1-5090-4270-8
  J. Fickenscher, O. Reiche, J. Schlumberger, F. Hannig und J. Teich
  (See online at https://doi.org/10.1109/HLDVT.2016.7748257)
• „Motion Estimation for Fisheye Video Sequences Combining Perspective Projection with Camera Calibration Information“. In: Proceedings of the IEEE Int. Conf. on Image Processing (ICIP). Phoenix, AZ, USA, (Sep. 2016). S. 4493-4497
  A. Eichenseer, M. Bätz und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2016.7533210)
• „Mulit-Image Super-Resolution for Fisheye Video Sequences Using Subpixel Motion Estimation Based on Calibrated Re-Projection“. In: Proceedings of the European Signal Processing Conf. (EUSIPCO). Budapest, Hungary, (Aug. 2016), S. 1872-1876
  M. Bätz, A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/EUSIPCO.2016.7760573)
• „Multi-Image Super-Resolution Using a Dual Weighting Scheme Based on Voronoi Tessellation“. In: Proceedings of the IEEE Int. Conf. On Image Processing (ICIP). Phoenix, AZ, USA, (Sep. 2016), S. 2822-2826
  M. Bätz, A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2016.7532874)
• „Multi-Image Super-Resolution Using a Locally Adaptive Denoising-Based Refinement“. In: IEEE Workshop on Multimedia Signal Processing (MMSP). Montreal, Canada, (Sep. 2016)
  M. Bätz, J. Koloda, A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/MMSP.2016.7813343)
• „Multi-Image Super-Resolution Using a Locally Adaptive Denoising-Based Refinement“. In: IEEE Workshop on Multimedia Signal Processing (MMSP). Montreal, Canada, (Sep. 2016)
  M. Bätz, J. Koloda, A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/MMSP.2016.7813343)
• „Multi-mode kernel based minimum mean square error estimator for accelerated image error concealment. In: Dara Compression Conference (DCC), (März 2016)
  J. Koloda, J. Seiler, A. Peinado und A. Kaup
  (See online at https://doi.org/10.1109/DCC.2016.55)
• „Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process“. In: Picture Coding Symposium. Nuremberg, Germany, (Dez. 2016)
  C. Herglotz, R. Rosales, M. Glass, J. Teich und A. Kaup
  (See online at https://doi.org/10.1109/PCS.2016.7906327)
• „Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process”. In: Proc. Picture Coding Symposium, Nuremberg, Germany, (Dec. 2016)
  C. Herglotz, R. Rosales, M. Glass, J. Teich, und A. Kaup
  (See online at https://doi.org/10.1109/PCS.2016.7906327)
• „Object Removal in Gradient Domain of Cone- Beam CT Projections“. In: 2016 IEEE Nuclear Science Symposuim & Medical Imaging Conference Record. Hrsg. von IEEE. Straßburg, (2016)
  B. Bier, M. Berger, J. Maier, M. Unberath, S. Hsieh, S. Bonaretti, R. Fahrig, M. E. Levenston, G. E. Gold und A. Maier
  (See online at https://doi.org/10.1109/NSSMIC.2016.8069480)
• „Reliability-based Mesh-to-Grid Image Reconstruction“. In: IEEE Workshop on Multimedia Signal Processing (MMSP). (2016)
  J. Koloda, J. Seiler und A. Kaup
  (See online at https://doi.org/10.1109/MMSP.2016.7813344)
• „Scatter Correction for C-Arm CT Using Primary Modulation“. In: 4th International Conference on Image Formation in X-Ray Computed Tomography. (Bamberg, Germany). (2016), S. 383-386
  B. Bier, K. Müller, M. Berger, J. Choi, L. Ritschl, M. Kachelrieß, R. Fahrig und A. Maier
  
• „Sketch Layer Separation in Multi-Spectral Historical Document Images." In: International Symposium on Digital Humanities: Book of Abstracts, S. 29-32. (2016)
  A. A. Davari, A.Häberle und C. Riess
  
• „Smart Sensor Framework: A Pressure Sensor for Smart Home Applications“. In: Advanced Engineering Forum Vol. 19. Bd. 19. Advanced Engineering Forum. Trans Tech Publications, (Nov. 2016), S. 92–106
  T. Lieske, D. Shuklin, D. Hohnloser, M. Reichenbach, B. Pfundt, D. Fey und R. Weigel
  (See online at https://doi.org/10.4028/www.scientific.net/AEF.19.92)
• „Teaching Heterogeneous Computer Architectures Using Smart Camera Systems“. In: 11th European Workshop on Microelectronics Education. Southhampton, UK, (2016)
  B. Pfundt, M. Reichenbach, C. Hartmann, K. Häublein und D. Fey
  (See online at https://doi.org/10.1109/EWME.2016.7496484)
• „Topological Triangle Sorting for Predefined Camera Paths“. In: Vision, Modeling & Visualization. (2016), S. 153-160
  C. Weber und M. Stamminger
  (See online at https://doi.org/10.2312/vmv.20161354)
• „Towards an Efficient High-Level Modeling of Heterogeneous Image Processing Systems“. In: Proceedings of the Symposium on Theory of Modeling & Simulation - DEVS Integrative (DEVS). Pasadena, CA, USA: Society for Computer Simulation International (SCS), (2016)
  A. Deitsch, V. Schneider, J. Kane,W. Dulz und R. German
  (See online at https://doi.org/10.23919/TMS.2016.7918822)
• (2017). „Anti-Aliasing and visibility preprocessing algorithms for mobile graphics devices : Anti-Alias- und Sichtbarkeitsvorberechnungen für mobile Grafikgeräte“. Dissertation, Verlag Dr. Hut, ISBN 978-3-8439-3067-3
  Weber, Christoph
  
• (2017). „Face2Face: Real-time Facial Reenactment.” Dissertation Online
  Thies, Justus
  
• (2017). „Heterogene Rechnerarchitekturen für intelligente Kameras“. Dissertation Online
  Reichenbach, Marc
  
• (2017). „Interactive analysis of multispectral and hyperspectral image data : Interaktive Analyse von multispektralen und hyperspektralen Bilddaten“. Dissertation Online
  Jordan, Johannes
  
• (2017). „Mapping task-based data-flow models on heterogeneous CPU-GPU systems : Abbildung von aufgabenbasierten Datenflussmodellen auf heterogene CPU-GPU-Systeme“. Dissertation Online
  Wu, Hao
  
• An Integrated Model-driven Framework for Simulation, Analysis, and Testing Based on OMG Standards“. In: Proceedings of the 10th International Conference on Performance Evaluation Methodologies and Tools (ValueTools ’16). Taormina, Italy, Okt. 2016, S. 155-160. ICS, Belgium, Brüssel., (Mai 2017)
  V. Schneider, A. Deitsch und R. German
  (See online at https://doi.org/10.4108/eai.25-10-2016.2266601)
• “ An Improved Extrapolation Scvheme for Truncated CT Data Using 2D Fourier-Based Helgason-Ludwig Consistency Conditions“. In: International Journal of Biomedical Imaging, Vol. (2017), No. 1867025, S. 1-14
  Y. Xia, M. Berger, S. Bauer, S. Hu, A. Aichert und A. Maier
  (See online at https://doi.org/10.1155/2017/1867025)
• “Comparison of Different Approaches for Measuring Tibial Cartilage Thickness”. In: Journal of Integrative Bioinformatics, Vol. 14, No. 3, (2017), S. 1-10
  J. Maier, M. Black, S. Bonaretti, B. Bier, B. Eskofier, J-H. Choi, M. Levenston, G. Gold, R. Fahrig und A. Maier
  (See online at https://doi.org/10.1515/jib-2017-0015)
• “Joint Calibration and Motion Estimation in Weight-Bearing Cone-Beam CT of the Knee Joint using Fiducial Markers”. In: Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (2017 IEEE International Symposium on Biomedical Imaging), Melbourne, (2017), S. 494-497
  C. Syben, B. Bier, M. Berger, A. Aichert, R. Fahrig, G. Gold, M. Levenston und A. Maier
  (See online at https://doi.org/10.1109/ISBI.2017.7950568)
• “Self-Calibration and Simultaneous Motion Estimation for C-arm CT using Fiducial Markers”. In: Bildverarbeitung für die Medizin 2017: Algorithmen - Systeme - Anwendungen. (2017), S. 56-61, ISBN 978-3-662-54344-3
  C. Syben, B. Bier, M. Berger, A. Aichert, R. Fahrig, G. Gold, M. Levenston und A. Maier
  (See online at https://doi.org/10.1007/978-3-662-54345-0_19)
• “Surface Registration to Estimate Motion in CBCT“. In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). (2017)
  B. Bier, M. Unberath, N. Ravikumar, J. Maier, A. Gooya, Z. Taylor, A. F. Frangi, G. Gold, R. Fahrig und A. Maier
  
• „ A Compressed Representation for Ray Tracing Parametric Surfaces”. In: ACM Transaction on Graphics, (2017), 36(1)
  K. Selgrad, A. Lier, M. Martinek, M. Buchenau, M. Guthe, F. Kranz, H. Schäfer und M. Stamminger
  (See online at https://doi.org/10.1145/2953877)
• „ A Hybrid Simulation Environment to Estimate the Accuracy, Energy Consumption and Processing Time for Image Processing Applications”. In: International Journal of Information and Computer Science (2017), no. 6, S. 1-14
  C. Hartmann und D. Fey
  (See online at https://doi.org/10.14355/ijics.2017.06.001)
• „ Evaluation of a Processor Simulator Exemplified by a Radar Processing Algorithm”. In: Trinitis, Carsten; Pionteck, Thilo (Ed.): Workshop Proceedings (ARCS 2017: 30th International Conference on Architecture of Computing Systems, Wien, 03.-06.04.2017). Wien: VDE Verlag, (2017), S. 96-100. ISBN 978-3-8007-4395-7
  S. Rachuj, C. Hartmann und D. Fey
  
• „ FaceForge: Markerless Non-Rigid Face Multi-Projection Mapping”. In: IEEE Transactions on Visualization and Computer Graphics, (2017), S. 2440-2446
  C. Siegl, V. Lange, M. Stamminger, F. Bauer und J. Thies
  (See online at https://doi.org/10.1109/TVCG.2017.2734428)
• „A Highly Efficient and Comprehensive Image Processing Library for C++-based High-Level Synthesis“. In: FSP 2017; Fourth International Workshop on FPGAs for Software Programmers. (2017), S. 23-32. ISBN:978-3-8007-4443-5s
  M. A. Özkan, O. Reiche, F. Hannig und J. Teich
  
• „A Methodology to Estimate the Energy Consumption and Processing Time for Image Processing Algorithms in Advanced Driver Assistance Systems”. In: Trinitis, Carsten; Pionteck, Thilo (Ed.): Workshop Proceedings (ARCS 2017: 30th International Conference on Architecture of Computing Systems, Wien, 03.-06.04.2017). Wien: VDE Verlag, (2017), S.135-140. - ISBN 978-3-8007-4395-7
  C. Hartmann, C. Widerspick und D. Fey
  
• „A statistical analysis oft he kernel-based MMSE estimator with application to image reconstruction”. In: Signal Processing- Image Communication. (2017)
  A. Peinado, J. Koloda und V. Sánchez
  (See online at https://doi.org/10.1016/j.image.2017.03.015)
• „An Extended Analysis of Memory Hierarchies for Efficient Implementations of Image Processing Applications”. In: Journal of Real-Time Image Processing (2017), no. 13, S. 1-16
  C. Hartmann, D. Fey
  (See online at https://doi.org/10.1007/s11554-017-0723-2)
• „An Image Processing Operator Language for Design and Synthesis of Smart Camera Architectures”. In: Karl, Wolfgang; Keller, Jörg (Ed.): Mitteilungen - Gesellschaft für Informatik e.V. (Parallel-Algorithmen und Rechnerstrukturen, Hagen, 04/05.05.2017).(2017), S. 1-11
  C. Hartmann, K. Häublein, B. Pfundt, M. Reichenbach und D. Fey
  
• „Area-Efficient Fully Integrated Dual-Band Class-E/F Power Amplifier with Switchable Output Power for a BPSK/OOK Transmitter". In IEEE International Symposium on Circuits and Systems, Baltimore, USA, (2017), S. 1-4
  C. Söll, J. Röber, H. Milosiu, R. Weigel und A. Hagelauer
  (See online at https://doi.org/10.1109/ISCAS.2017.8050676)
• „Auto-vectorization for Image Processing DSLs“. In: Proceedings of the 18th ACM SIGPLAN/SIGBED Conference on languages, Compilers, and Tools for Embedded Systems. (2017), S. 21-30
  O. Reiche, C. Kobylko, F. Hannig und J. Teich
  (See online at https://doi.org/10.1145/3078633.3081039)
• „Benchmarking Super- Resolution Algorithms on real Data”. In: arXiv. (2017)
  T. Köhler, M. Bätz, F. Naderi, A. Kaup, A. Maier und C. Riess
  (See online at https://doi.org/10.48550/arXiv.1709.04881)
• „Comprehensive curriculum for reconfigurable heterogeneous computer architecture education”. In: IET Circuits, Devices & Systems 11 (2017), no. 4, S. 292-298
  B. Pfundt, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1049/iet-cds.2016.0399)
• „Decoding-Energy-Rate-Distortion Optimization for Video Coding“. In: IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), (Nov. 2017)
  C. Herglotz, A. Heindel und A. Kaup
  (See online at https://doi.org/10.1109/TCSVT.2017.2771819)
• „Demo of FaceVR: real-time facial reenactment and eye gaze control in virtual reality”. In ACM SIGGRAPH 2017 Emerging Technologies (SIGGRAPH '17). ACM, New York, NY, USA, Article 7, (2017)
  J. Thies, M.Zollhöfer, M. Stamminger, C. Theobalt und M. Nießner
  (See online at https://doi.org/10.1145/3084822.3084841)
• „Disparity Estimation for Fisheye Images with an Application to Intermediate View Synthesis”. In: IEEE International Workshop on Multimedia Signal Processing (MMSP), London-Luton, UK, (Oktober 2017), S. 1-6
  A. Eichenseer, M. Bätz und A. Kaup
  (See online at https://doi.org/10.1109/MMSP.2017.8122251)
• „DIY Meta Languages with Common Lisp”. In: Verna, Didier (Eds.), Proceedings of the 10th European Lisp Symposium, (2017), S. 72-79
  A. Lier, K. Selgrad und M. Stamminger
  
• „Embedded fluorescence lifetime determination for high throughput real-time droplet sorting with microfluidics". In: IEEE (Ed.): Proceedings of 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP) Dresden, (2017), S. 1-6
  T. Lieske, W. Uhring, N. Dumas, J. Leonard und D. Fey
  (See online at https://doi.org/10.1109/DASIP.2017.8122129)
• „Estimation of Time Behaviour of Selected Autonomous Driving Algorithms using GPGPU-Sim”. In: Trinitis, Carsten; Pionteck, Thilo (Ed.): Workshop Proceedings (ARCS 2017: 30th International Conference on Architecture of Computing Systems, Wien, 03.-06.04.2017). Wien: VDE Verlag, 2017, S. 141-145. ISBN 978-3-8007-4395-7
  C. Widerspick, C. Hartmann und D. Fey
  
• „Fast heterogeneous computing architectures for smart antennas”. In: Journal of Systems Architecture (2017), Vol. 76, S. 76-88
  M. Reichenbach, M. Kasparek, K. Häublein, J.N. Bauer, M. Alawieh, und D. Fey
  (See online at https://doi.org/10.1016/j.sysarc.2016.11.004)
• „Frequency Selective Mesh-to-Grid Resampling for Image Communication”. In: IEEE Transaction on Multimedia, Vol. 19, No. 8, S. 1689-1701. (2017)
  J. Koloda, J. Seiler und A. Kaup
  (See online at https://doi.org/10.1109/TMM.2017.2683267)
• „Generating FPGA-based Image Processing Accelerators with Hipacc“. In: IEEE Proceedings of the International Conference On Computer Aided Design (ICCAD). (2017), S. 1026-10333
  O. Reiche. M. A. Özkan, R. Membarth, J. Teich und F. Hannig
  (See online at https://doi.org/10.1109/ICCAD.2017.8203894)
• „GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification". In: International Conference on Computer Analysis of Images and Patterns (CAIP), Sweden (July 2017), S. 296-306
  A. A. Davari, V. Christlein, S. Vesal, A. Maier und C. Riess
  (See online at https://doi.org/10.1007/978-3-319-64698-5_25)
• „Hardware Design and Analysis of Efficient Loop Coarsening and Border Handling for Image Processing”. In: IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP). (2017), S. 155-163
  M. A. Özkan, O. Reiche, F. Hannig und J. Teich
  (See online at https://doi.org/10.1109/ASAP.2017.7995273)
• „Image Registration for the Alignment of Digitized Historical Documents“. In: arXiv preprint. (2017)
  A. A. Davari, T. Lindenberger, A. Häberle, V, Christlein, A. Maier und C. Riess
  (See online at https://doi.org/10.48550/arXiv.1712.04482)
• „Iterative Denoising-Based Mesh-to-Grid Reconstruction with Hyperparametric Adaption”. In: IEEE International Workshop on Multimedia Signal Processing. (2017)
  J. Koloda, M. Bätz und A. Kaup
  (See online at https://doi.org/10.1109/MMSP.2017.8122288)
• „LibHSA: One Step Towards Mastering the Era of Heterogeneous Hardware Accelerators using FPGAs.” In: IEEE (Ed.): Proceedings of 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP). Dresden, (2017), S. 1-6
  M. Reichenbach, P. Holzinger, K. Häublein, T. Lieske, P. Blinzer und D. Fey
  (See online at https://doi.org/10.1109/DASIP.2017.8122108)
• „Memristive Voltage Divider: A Bipolar ReRAM-based Unit for Non-Volatile Flip-Flops”. In: Proceedings of the 3rd. International Symposium on memory Systems, MEMSYS 2017, New York: ACM, (2017), S. 217-222. ISBN 978- 1-4503-5335-9
  M. Biglari und D. Fey
  (See online at https://doi.org/10.1145/3132402.3132432)
• „Motion Compensated Frame Rate Up-Conversion Using 3D Frequency Selective Extrapolation and a Multi-Layer Consistebcy Check.” In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA USA, (März 2017)
  M. Bätz, F. Brand, A. Eichenseer und A. Kaup
  (See online at https://doi.org/10.1109/ICASSP.2017.7952397)
• „Motion compensation for cone-beam CT using Fourier consistency conditions''. In: Physics in Medicine and Biology, vol. 62, no. 17, (Aug. 2017), S. 7181-7215
  M. Berger, Y. Xia, W. Aichinger, K. Mentl, M. Unberath, A. Aichert, C. Riess, J. Hornegger, R. Fahrig und A. Maier
  (See online at https://doi.org/10.1088/1361-6560/aa8129)
• „Motion Compensation using Range Imaging in C-arm Cone-Beam CT. In: Medical Image Understanding and Analysis (MIUA 2017), Edinburgh, (2017), S. 561
  B. Bier, M. Unberath, T. Geimer, J. Maier, G. Gold, M. Levenston. R. Fahrig und A. Maier
  (See online at https://doi.org/10.1007/978-3-319-60964-5_49)
• „Prototyping Memristors in Digital Systems with an FPGA-Based Testing Environment." In: Power and Timing Modeling, Optimization and Simulation (PATMOS), 2017 27th International Symposium on, Thessaloniki, Greece, (2017), S. 1-7
  D. Wust, M. Biglari, J. Knödtel, M. Reichenbach, C. Söll und D. Fey
  (See online at https://doi.org/10.1109/PATMOS.2017.8106978)
• „Residual-based forensic comparison of video sequences”. In: IEEE International Conference on Image Processing (ICIP), Bejing, (2017), S. 1507-1511
  P. Mullan, D. Cozzolino, L. Verdoliva und C. Riess
  (See online at https://doi.org/10.1109/ICIP.2017.8296533)
• „Resolved Computed Tomography“. In: Proceedings of Fully3D’17. (2017), S. 111-114
  Y. Lu, M. Kowarschik, Q. Ren, R. Fahrig, J. Hornegger und A. Maier
  
• „Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment“. In: IEEE Transactions on Broadcasting. Vol. 63, No. 1, S. 59-10. (2017)
  J. Koloda, J. Seiler, A. Peinado und A. Kaup
  (See online at https://doi.org/10.1109/TBC.2016.2619581)
• „Scatter correction using a primary modulator on a clinical angiography C-arm CT system. In: Medical Physics, vol. 44, No. 9, (2017), S. 125-137
  B. Bier, M. Berger, A. Maier, M. Kachelrieß, L. Ritschl, K. Müller, J.-H. Choi und R. Fahrig
  (See online at https://doi.org/10.1002/mp.12094)
• „Semi-automatic algorithm for breast MRI lesion segmentation using marker-controlled watershed transformation". In: 2017 Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), (2017)
  S. Vesal, A. Diaz-Pinto, N. Ravikumar, S. Ellmann, A. Davari und A. Maier
  (See online at https://doi.org/10.48550/arXiv.1712.05200)
• „Simultaneous Generation of X-ray and Range Images using XCAT under Motion”. In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)), (2017)
  O. Rybakov, B. Bier, J. Maier, M. Unberath und A. Maier
  
• „Streak Artifact Reduction in Limited Angle Tomography Using Machine Learning“. In: 3rd Conference on Image-Guieded Interventions & Fokus Neuroradiologoe, (2017), S. 7-8
  Y. Huang, Y. Lu, O. Taubmann, G. Lauritsch und A. Maier
  
• „System on chip generation for multi-sensor and sensor fusion applications“. In: IEEE (Ed.): Proceedings of the 17th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS). (2017), S. 20-29
  T. Lieske, B. Pfundt, S. Vaas, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1109/SAMOS.2017.8344607)
• „The Best of Both: Highperformance and Deterministic Real-Time Executive by Application-Specific Multi- Core SoCs”. In: HEART (Org.): Proceedings of the Conference on Design and Architectures for Signal and Image Processing (DASIP '17) Dresden, (2017), S. 1-6
  S. Vaas, P. Ulbrich, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1109/DASIP.2017.8122107)
• „Video Decoding Energy Estimation using Processor Events”. In: IEEE International Conference on Image Processing (ICIP), Beijing, China, (Sep. 2017)
  C. Herglotz und A. Kaup
  (See online at https://doi.org/10.1109/ICIP.2017.8296731)
• (2018). “Fisheye Video Processing Using Distortion-Corrected Block-Based Motion Compensation”. Dissertation. Verlag Dr. Hut. ISBN: 978-3-8439- 3804-4
  Eichenseer, Andrea
  
• (2018). „ Memory and Interface Architectures for Invasive Tightly Coupled Processor Arrays”. Dissertation Online
  Sousa, Éricles
  
• (2018). „A Domain-Specific Language Approach for Designing and Programming Heterogeneous Image Systems“. Dissertation, Verlag Dr. Hut. ISBN: 978-3-8439-3726-9
  Reiche, Oliver
  
• (2018). „Energieeffiziente integrierte analoge Vorverarbeitung in CMOS-Bildsensoren für Smart Camera-Anwendungen“. Dissertation Online
  Söll, Christopher
  
• (2018). „Energy Efficient Video Decoding”. Dissertation, Verlag Dr. Hut. ISBN: 978-3-8439-3461-4
  C. Herglotz
  
• “Decoding Energy Estimation of an HEVC Hardware Decoder”. In: IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, May (2018), S. 1-5
  C. Herglotz und A. Kaup
  (See online at https://doi.org/10.1109/ISCAS.2018.8350964)
• “Learning real-time ambient occlusion from distance representations”. In: Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D '18), Stephen N. Spencer (Ed.). ACM, New York, NY, USA, (2018), S. 1-9
  B. Keinert, J. Martschinke und M. Stamminger
  (See online at https://doi.org/10.1145/3190834.3190847)
• „ Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data“. In: arXiv preprint. (2018)
  T. Köhler, M. Bätz, F. Naderi, A. Kaup, A. Maier und C. Riess
  (See online at https://doi.org/10.48550/arXiv.1809.06420)
• „A flexible mixed-signal image processing pipeline using 3D chip stacks“. In: Journal of Real-Time Image Processing 14 (2018), No. 3, S. 517-534
  L. Shi, C. Soell, B. Pfundt, A. Baenisch, M. Reichenbach, J. Seiler, T. Ussmueller und R. Weigel
  (See online at https://doi.org/10.1007/s11554-016-0628-5)
• „A Gentle Introduction to Deep Leraning in Medical Image Processing.” In: arXiv preprint. (2018)
  A. Maier, C. Syben, T. Lasser und C. Riess
  (See online at https://doi.org/10.48550/arXiv.1810.00501)
• „A High-Resolution Copression Scheme for Ray Tracing Subdivision Surfaces with Displacement”. In: Proc. ACM Computer Graphics Interaction. Tech. 1,2, Art. 33, (Aug. 2018)
  A. Lier, M. Martinek, M. Stamminger und K. Selgrad
  (See online at https://doi.org/10.1145/3233308)
• „A Hybrid Approach for Runtime Analysis Using a Cycle and Instruction Accurate Model”. In: Berekovic, M.; Buchty, R.; Hamann, H.; Koch, D.; Pionteck, T. (Ed.) Architecture of Computing Systems (ARCS 2018), Springer (2018), S.. 85-96. ISBN 978-3-319-77610-1
  S. Rachuj, C. Herglotz, M. Reichenbach, A. Kaup und D. Fey
  (See online at https://doi.org/10.1007/978-3-319-77610-1_7)
• „A Journey into DSL Design using Generative Programming: FPGA Mapping of Image Border Handling through Refinement“. In: FSP Workshop 2018; Fifth International Workshop on FPGAs for Software Programmers (2018), S. 1-9. Print ISBN: 978-3- 8007-4723-8
  M. A. Özkan, A. Perard-Gayot, R. Membarth, P.Slusallek, J. Teich und F. Hannig
  
• „A Multi-task Framework for Skin Lesion Detection and Segmentation". In: Stoyanov D. et al. (eds) OR 2.0 Context- Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis. CARE 2018, CLIP 2018, OR 2.0 2018, ISIC 2018. Lecture Notes in Computer Science, vol 11041. Springer, Cham (2018)
  S. Vesal, S. M. Patil, N. Ravikumar und A. Maier
  (See online at https://doi.org/10.1007/978-3-030-01201-4_31)
• „A Novel Methodology for Evaluating the Energy Consuption of IP Blocks in System-Level Designs“. In: 28th International Symposium on Power and Timing Modelling, Optimization and Simulation (PATMOS), Costa Brava, (2018)
  J. Knödtel, W. Schwabe, T. Lieske, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1109/PATMOS.2018.8464149)
• „A super-resolution method-based pipeline for fundus fluorescein angiography imaging.“ In: BioMedical Engineering OnLine. (2018), 17(1): 125
  Z. Jiang, Z. Yu, S. Feng, Z. Huang, Y. Peng, J. Guo, Q. Ren und Y. Lu
  (See online at https://doi.org/10.1186/s12938-018-0556-7)
• „Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems”. In: arXiv preprint (2018)
  F. Schirrmacher, T. Köhler und C. Riess
  (See online at https://doi.org/10.48550/arXiv.1804.02152)
• „Application-Specific Tailoring of Multi-Core SoCs for Real-Time Systems with Diverse Predictability Demands”. In: Journal of Signal Processing Systems (2018)
  S. Vaas, P. Ulbrich, M. Reichenbach und D. Fey
  (See online at https://doi.org/10.1007/s11265-018-1389-0)
• „Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images“. In: arXiv preprint (2018)
  S. Deitsch, V. Christlein, S. Berger, C. Buerhop-Lutz, A. Maier, F. Gallwitz und C. Riess
  (See online at https://doi.org/10.1016/j.solener.2019.02.067)
• „Automatic Kernel Fusion for Image Processing DSLs“. In: Proceedings of the 21st International Workshop on Software and Compilers for Embedded Systems (SCOPES) (2018), S. 76-85
  B. Qiao, O. Reiche, F. Hannig und J. Teich
  (See online at https://doi.org/10.1145/3207719.3207723)
• „Case Study on Memristor-Based Multilevel Memories". In: International Journal of Circuit Theory and Applications, (2018), vol. 46 (1), S. 99-112
  C. Söll, M. Reichenbach, J. Röber, A. Hagelauer, R. Weigel und D. Fey
  (See online at https://doi.org/10.1002/cta.2379)
• „Classification of breast cancer histology images using transfer learning". In: International Conference Image Analysis and Recognition, Portugal (July 2018), S. 812-819, 2018, ISBN 978-3-319- 93000-8
  S. Vesal, N. Ravikumar, A. Davari, S. Ellmann und A. Maier
  (See online at https://doi.org/10.1007/978-3-319-93000-8_92)
• „Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation". In: Bildverarbeitung für die Medizin. Erlangen, Germany (2018), S. 257-262
  S. Vesal, N. Ravikumar und A. Maier
  (See online at https://doi.org/10.1007/978-3-662-56537-7_68)
• „Comparison of Lane Detection Algorithms for ADAS using Embedded Hardware Architectures”. In: IEEE (Ed.): Proceedings of 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP), (2018), S. 1-6
  M. Reichenbach, L. Liebischer, S. Vaas, und D. Fey
  (See online at https://doi.org/10.1109/DASIP.2018.8596994)
• „CPU-Style SIMD Ray Traversal on GPUs”. In. Proceedings of High-Performance Graphics, Vancouver, Kanada, (Aug. 2018)
  A. Lier, M. Stamminger und K. Selgrad
  (See online at https://doi.org/10.1145/3231578.3231583)
• „Decoding Energy Modeling for the Next Generation Video Codec Based on JEM”. In: Proc. Picture Coding Symposium (PCS), San Francisco, USA, (2018)
  C. Herglotz, M. Kränzler und A. Kaup
  (See online at https://doi.org/10.1109/PCS.2018.8456244)
• „Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI”. In: 21. International Conference On Medical Image Computing & Computer Assisted Intervention - STACOM Workshop – MICCAI, Springer, (2018)
  S. Vesal, N. Ravikumar und A. Maier
  (See online at https://doi.org/10.1007/978-3-030-12029-0_35)
• „Ein klinisch anwendbares Neuronales Netzwerk zur Klassifikation suspekter Läsionen in der Mamma-MRT“. In: Fortschr Röntgenstr. 190. Georg Thieme Verlag (2018)
  S. Ellmann, C. Bielowski, E. Wenkel, S. Vesal, A. Maier, M. Uder und T. Bäuerle
  (See online at https://doi.org/10.1055/s-0038-1641379)
• „Embedded FluoresceLifetime Determination for High-Throughput, Low-Photon-Number Applications. In: Journal of Signal Processing Systems. (Mai, 2018). S. 1-3
  T. Lieske, W. Uhring, N. Dumas, A. I. Skilitisi, J. Léonard und D. Fey
  (See online at https://doi.org/10.1007/s11265-018-1372-9)
• „FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces''. In: arXiv preprint (2018)
  A. Rössler, D. Cozzolino, L. Verdoliva, C. Riess, J. Thies und M. Niessner
  (See online at https://doi.org/10.48550/arXiv.1803.09179)
• „FaceVR: Real- Time Gaze-Aware Facial Reenactment in Virtual Reality”. In: ACM Transaction on Graphics 37(2), Art. 25, (2018), S. 25:1-25:15
  J. Thies, M. Zollhöfer, M. Stamminger, C. Theobald und M. Nießner
  (See online at https://doi.org/10.1145/3182644)
• „Fast Sample Generation With Variational Bayesian For Limited Data Hyperspectral Image Classification." In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). (2018)
  A. A. Davari, H. C. Oezkan, A. Maier und C. Riess
  (See online at https://doi.org/10.1109/IGARSS.2018.8517643)
• „Feasibility of Motion Compensation using Inertial Measaurement in C-arm CT“. IN: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), (Nov. 2018)
  J. Maier, A. Aichert, W. Mehringer, B. Bier, B. Eskofier, M. Levenston, G. Gold, R. Fahrig, S. Bonaretti und A. Maier
  (See online at https://doi.org/10.1109/NSSMIC.2018.8824463)
• „GMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data”. In: IEEE Geoscience and Remote Sensing Letters 15, no. 6 (2018), S. 942- 946
  A. A. Davari, E. Aptoula, B. Yanikoglu, A. Maier und C. Riess
  (See online at https://doi.org/10.1109/LGRS.2018.2817361)
• „Heterogeneous Computing Utilizing FPGAs”. In: Journal of Signal Processing Systems. (2018), S. 1-13
  M. Reichenbach, P. Holzinger, K. Häublein, T. Lieske, P. Blinzer und D. Fey
  (See online at https://doi.org/10.1007/s11265-018-1382-7)
• „High-Endurance Bipolar ReRam-Based Non- Volatile Flip-Flops with Run-Time Tunable Resistive States.” In: Proceedings of the 2018 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH´18). ACM, new York, NY, USA, (2018)
  M. Biglari, T. Lieske und D. Fey
  (See online at https://doi.org/10.1145/3232195.3232217)
• „Hyper-Hue and EMAP on Hyperspectral Images for Supervised layer Decomposition of Old Master drawings“. In: 25th IEEE International Conference on Imagee Processing (ICIP), (2018), S. 3683-3687
  A. A. Davari, N. Sakaltras, A. Haeberle, S. Vesal, V. Christlein, A. Maier und C. Riess
  (See online at https://doi.org/10.1109/ICIP.2018.8451768)
• „Loop Parallelization Techniques for FPGA Accelerator Synthesis.” In: Journal of Signal Processing Systems, 90, (2018), S. 3-27. ISSN: 1939-8115
  O. Reiche, M. A. Özkan, F. Hannig, J. Teich und M. Schmid
  (See online at https://doi.org/10.1007/s11265-017-1229-7)
• „Material Decomposition Using Ensemble Learning for Spectral X-ray Imaging”. In: IEEE Transaction on radiation and Plasma Medical Sciences, Issue 2, Vol (3), (2018), S. 194-204
  Y. Lu, M. Korwarschik, Q. Ren, R. Fahrig, J. Hornegger und A. Maier
  (See online at https://doi.org/10.1109/TRPMS.2018.2805328)
• „Model-Based System Design and Evaluation of Image Processing Architectures with SimTAny Framework “. In. Mesasurement, Modelling and Evaluation of Computing Systems. Cham, MMB 2018, Erlangen, Deutschland, Springer Unternational Publishing, (2018), S. 338-342
  A. Deitsch und V. Schneider
  (See online at https://doi.org/10.1007/978-3-319-74947-1_29)
• „Motion Estimation for Fisheye Video with an Application to Temporal Resolution Enhancement”. In: IEEE Transaction on Circuits and Systems for Video Technology. (2018), S. 1-15
  A. Eichenseer, M. Bätz und A. Kaup
  (See online at https://doi.org/10.1109/TCSVT.2018.2869546)
• „Multi-Level Memristive Voltage Divider: Programming Scheme Trade-offs”. In: Proceedings of the International Symposium on Memory Systems (MEMSY´s). ACM, New York, NY, USA, (Oktober 2018)
  T. Lieske, M. Biglari und D. Fey
  (See online at https://doi.org/10.1145/3240302.3240430)
• „Phase-Sensitive Region-of-Interest Computed Tomography''. In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), (2018), S. 137-144
  L. Felsner, M. Berger, S. Kaeppler, J. Bopp, V. Ludwig, T. Weber, G. Pelzer, T. Michel, A. Maier, G. Anton und C. Riess
  (See online at https://doi.org/10.1007/978-3-030-00928-1_16)
• „Segmentation of Photovoltaic Module Cells in Electroluminescence Images“. In: arXiv preprint (2018)
  S. Deitsch, C. Buerhop-Lutz, A. Maier, F. Gallwitz und C. Riess
  (See online at https://doi.org/10.1007/s00138-021-01191-9)
• „Simulationg Memristive Networks in SystemC-AMS”. In: James, Aex (Ed.): Memristor and Memristive Neural Networks: InTech, (2018), S. Chapter 7. ISBN 978-953-51-3947-8
  D. Fey, L. Riedersberger und M. Reichenbach
  (See online at https://doi.org/10.5772/intechopen.69662)
• „SkinNet: A Deep Learning Framework for Skin Lesion Segmentation". In: 2018 Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Sydney, Australia (November 2018)
  S. Vesal, N. Ravikumar und A. Maier
  (See online at https://doi.org/10.1109/NSSMIC.2018.8824732)
• „Traditional machine learning for limited angle tomography.” In: International Journal of Computer Assisted Radiology and Sorgery. Vol. 8/2018, No. 8 (2018), S. 1-9
  Y. Huang, Y. Lu, O. Taubmann, G. Lauritsch und A. Maier
  (See online at https://doi.org/10.1007/s11548-018-1851-2)
• „Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography”. In: Algorithmen – Systeme- Anwendungen, Bildverarbeitung für die Medizin. (2018), S. 222-227
  Y. Huang, Y. Lu, O. Taubmann, G. Lauritsch und A. Maier
  (See online at https://doi.org/10.1007/978-3-662-56537-7_62)