AI in Medical Image and Signal Processing

Page 6 of 7.

1. Marja Fleitmann; Kira Soika; Andreas Stroth; Jan Gerlach; Alexander Fürschke; Peter Hunold; Jörg Barkhausen; Arpad Bischof; Heinz Handels

   Computer-Assisted Quality Assessment of Aortic CT Angiographies for Patient-Individual Dose Adjustment

   In: Studies in health technology and informatics, Vol. 270, Pages 123-127, IOS Press, 6/2020.

2. Hristina Uzunova; Jan Ehrhardt; Heinz Handels

   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.

3. Hristina Uzunova; Jan Ehrhardt; Heinz Handels

   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.

4. 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.

5. Aaron Carass; Snehashis Roy; Adrian Gherman; Jacob C Reinhold; Andrew Jesson; Tal Arbel; Oskar Maier; Heinz Handels; Mohsen Ghafoorian; Bram Platel; others

   Evaluating white matter lesion segmentations with refined Sørensen-Dice analysis

   In: Richard White; Giampiero Accardo; Rafal Marszalek; Christian Matheou; Eve Rooks; Elizabeth Mann; Madushi Wanaguru; Silvia Butera; Antonia Eisenkoeck; João Leite; Claire Potter (Hrsg.). Scientific reports (Sci Rep), Vol. 10, No. 1, Pages 1-19, Nature Publishing Group, 2020.

6. Timo Kepp; Helge Sudkamp; Claus von der Burchard; Hendrik Schenke; Peter Koch; Gereon Hüttmann; Johann Roider; Mattias P Heinrich; Heinz Handels

   Segmentation of retinal low-cost optical coherence tomography images using deep learning

   In: Horst K. Hahn; Maciej A. Mazurowski (Hrsg.). Medical Imaging 2020: Computer-Aided Diagnosis. SPIE Medical Imaging, located at SPIE medical Imaging, February 15-20, Houston, Texas, USA, Vol. 11314, ISBN 978151063395, SPIE, 2020.

7. Julia Krüger; Sandra Schultz; Heinz Handels; Jan Ehrhardt

   Registration with probabilistic correspondences - Accurate and robust registration for pathological and inhomogeneous medical data

   In: N. Paragios; B. Caputo; G. Hua; R. Vidal (Hrsg.). Computer Vision and Image Understanding, Vol. 190, Pages 1-15, Elsevier, 2020.

8. Timo Kepp; Christine Droigk; Malte Casper; Michael Evers; Gereon Hüttmann; Nunciada Salma; Dieter Manstein; Mattias P. Heinrich; Heinz Handels

   Segmentation of mouse skin layers in optical coherence tomography image data using deep convolutional neural networks

   In: Christoph Hitzenberger (Hrsg.). Biomedical Optics Express, Vol. 10, No. 7, Pages 3484-3496, OSA, 7/2019.

9. 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.

10. Hristina Uzunova; Jan Ehrhardt; Timo Kepp; Heinz Handels

    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.

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