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Publications

Displaying results 1171 to 1180 of 13257.
  1. Gereon Huttmann; Michel Wunderlich; Peter Koch; Helge Sudkamp; Dirk Theisen-Kunde; Timo Kepp; Heinz Handels; Claus von der Burchard; Johann Roider

    Improved SELFF-OCT using motion correction and artifact detection

    In: Investigative Ophthalmology & Visual Science (IOVS), Vol. 62, No. 8, Pages 2527-2527, The Association for Research in Vision and Ophthalmology, 2021.

  2. Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation

    In: Maxime Descoteaux; Lena Maier-Hein; Alfred Franz; Pierre Jannin; D. Louis Collins; Simon Duchesne (Hrsg.). Medical Image Computing and Computer Assisted Intervention (MICCAI 2017). Medical Image Computing and Computer Assisted Intervention (MICCAI-2017), September 10-14, Quebec City, Quebec, Canada, Pages 223-231, ISBN 978-3-319-66182-7, Springer International Publishing, 2017.

  3. Unsupervised Pathology Detection in Medical Images using Learning-based Methods

    In: Andreas Maier; Thomas M. Deserno; Heinz Handels; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff (Hrsg.). Bildverarbeitung für die Medizin 2018. Workshop Bildverarbeitung für die Medizin (BVM), March 11-13, Erlangen, Germany, Pages 61-66, ISBN 978-3-662-56537-7, Springer, Berlin Heidelberg, 2018.

  4. Evaluation of Image Processing Methods for Clinical Applications

    In: Heinz Handels; Thomas M. Deserno; Andreas Maier; Klaus Hermann Maier-Hein; Christoph Palm; Thomas Tolxdorff (Hrsg.). Bildverarbeitung für die Medizin 2019. Workshop Bildverarbeitung für die Medizin (BVM-2019), March 17-19, Lübeck, Germany, Pages 15-20, ISBN 978-3-658-25326-4, Springer Fachmedien Wiesbaden, 2019.

  5. Unsupervised pathology detection in medical images using conditional variational autoencoders

    In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 14, No. 3, Pages 451-461, Springer, 2019.

  6. Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders

    In: Elsa D. Angelini; Bennett A. Landman (Hrsg.). Medical Imaging 2019: Image Processing. SPIE Medical Imaging, February 16-21, San Diego, CA, USA, Pages 264-271, Vol. 10949, SPIE, 2019.

  7. Hristina Uzunova; Jan Ehrhardt; Fabian Jacob; Alex Frydrychowicz; Heinz Handels

    Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images

    In: Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali Khan (Hrsg.). Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019. Medical Image Computing and Computer Assisted Intervention (MICCAI-2019), October 13-17, Shenzhen, China, Pages 112-120, ISBN 978-3-030-32226-7, Springer International Publishing, 2019.

  8. Hristina Uzunova; Paul Kaftan; Matthias Wilms; Nils D. Forkert; Heinz Handels; Jan Ehrhardt

    Quantitative Comparison of Generative Shape Models for Medical Images

    In: Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (Hrsg.). Bildverarbeitung für die Medizin 2020. Workshop Bildverarbeitung für die Medizin (BVM-2020), March 15-17, Berlin, Germany, Pages 201-207, ISBN 978-3-658-29267-6, Springer Fachmedien Wiesbaden, 2020.

  9. Generation of Annotated Brain Tumor MRIs with Tumor-induced Tissue Deformations for Training and Assessment of Neural Networks

    In: Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz (Hrsg.). Medical Image Computing and Computer Assisted Intervention -- MICCAI 2020. Medical Image Computing and Computer Assisted Intervention (MICCAI-2020), October 4-8, Lima/Virtual, Peru, Pages 501-511, ISBN 978-3-030-59719-1, Springer International Publishing, 2020.

  10. Memory-efficient GAN-based domain translation of high resolution 3D medical images

    In: Computerized Medical Imaging and Graphics, Vol. 86, Pages 101801-101801, Elsevier, 2020.