Bildverarbeitung für die Medizin 2020: Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin

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In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2020 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstützte Diagnose, Biomechanische Modellierung, Validierung und Qualitätssicherung, Bildverarbeitung in der Telemedizin u.v.m. Front Matter ....Pages I-XXIII Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment (Marc Aubreville, Christof A. Bertram, Samir Jabari, Christian Marzahl, Robert Klopfleisch, Andreas Maier)....Pages 1-7 Deep Segmentation of Bacteria at Different Stages of the Life Cycle (Roman Spilger, Tobias Schwackenhofer, Charlotte Kaspar, Ilka Bischofs, Karl Rohr)....Pages 8-13 Retrospective Color Shading Correction for Endoscopic Images (Maximilian Weiherer, Martin Zorn, Thomas Wittenberg, Christoph Palm)....Pages 14-19 Neural Network for Analyzing Prostate Cancer Tissue Microarrays (Markus Bauer, Sebastian Zürner, Georg Popp, Glen Kristiansen, Ulf-Dietrich Braumann)....Pages 20-25 Is Crowd-Algorithm Collaboration an Advanced Alternative to Crowd-Sourcing on Cytology Slides? (Christian Marzahl, Marc Aubreville, Christof A. Bertram, Stefan Gerlach, Jennifer Maier, Jörn Voigt et al.)....Pages 26-31 Abstract: Defence of Mathematical Models for Deep Learning based Registration (Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich)....Pages 32-32 Degenerating U-Net on Retinal Vessel Segmentation (Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas Maier)....Pages 33-38 COPD Classification in CT Images Using a 3D Convolutional Neural Network (Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kaergel, Nishant Ravikumar, Martine Rémy-Jardin et al.)....Pages 39-45 Automatische Detektion von Zwischenorgan-3D-Barrieren in abdominalen CT-Daten (Oliver Mietzner, Andre Mastmeyer)....Pages 46-51 Abstract: Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points (Ibraheem Al-Dhamari, Sabine Bauer, Eva Keller, Dietrich Paulus)....Pages 52-52 Abstract: Recognition of AML Blast Cells in a Curated Single-Cell Dataset of Leukocyte Morphologies Using Deep Convolutional Neural Networks (Christian Matek, Simone Schwarz, Karsten Spiekermann, Carsten Marr)....Pages 53-54 Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans (Marcin Kopaczka, Richard Lindenpütz, Daniel Truhn, Maximilian Schulze-Hagen, Dorit Merhof)....Pages 55-60 Automated Segmentation of the Locus Coeruleus from Neuromelanin-Sensitive 3T MRI Using Deep Convolutional Neural Networks (Max Dünnwald, Matthew J. Betts, Alessandro Sciarra, Emrah Düzel, Steffen Oeltze-Jafra)....Pages 61-66 Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT (Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang-Hwan Choi, Mary Elizabeth Hall et al.)....Pages 67-72 Abstract: WeLineation (Malte Jauer, Saksham Goel, Yash Sharma, Thomas M. Deserno)....Pages 73-73 Abstract: Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI (Santiago Estrada, Ran Lu, Sailesh Conjeti, Ximena Orozco, Joana Panos, Monique M.B Breteler et al.)....Pages 74-74 Semantic Lung Segmentation Using Convolutional Neural Networks (Ching-Sheng Chang, Jin-Fa Lin, Ming-Ching Lee, Christoph Palm)....Pages 75-80 Abstract: MITK-ModelFit (Ina Kompan, Charlotte Debus, Michael Ingrisch, Klaus Maier-Hein, Amir Abdollahi, Marco Nolden et al.)....Pages 81-81 Compressed Sensing for Optical Coherence Tomography Angiography Volume Generation (Lennart Husvogt, Stefan B. Ploner, Daniel Stromer, Julia Schottenhamml, Eric Moult, James G. Fujimoto et al.)....Pages 82-87 Reproduzierbare Kalibrierung von elektromagnetischen Feldverzerrungen (Florian Hennig, Florian Pfiz, Diana Mîndroc-Filimon, Lena Maier-Hein, Bünyamin Pekdemir, Alexander Seitel et al.)....Pages 88-93 Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation (Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl, Steffen Kappler, Andreas Maier)....Pages 94-100 Video Anomaly Detection in Post-Procedural Use of Laparoscopic Videos (Wolfgang Reiter)....Pages 101-106 Entropy-Based SVM Classifier for Automatic Detection of Motion Artifacts in Clinical MRI (Chandrakanth Jayachandran Preetha, Hendrik Mattern, Medha Juneja, Johannes Vogt, Oliver Speck, Thomas Hartkens)....Pages 107-112 Tenfold your Photons (Philipp Roser, Annette Birkhold, Alexander Preuhs, Markus Kowarschik, Rebecca Fahrig, Andreas Maier)....Pages 113-118 CT-Based Non-Destructive Quantification of 3D-Printed Hydrogel Implants (Jule Steinert, Thomas Wittenberg, Vera Bednarzig, Rainer Detsch, Joelle Claussen, Stefan Gerth)....Pages 119-124 Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation (Philipp Roser, Annette Birkhold, Alexander Preuhs, Bernhard Stimpel, Christopher Syben, Norbert Strobel et al.)....Pages 125-130 Prediction of MRI Hardware Failures based on Image Features Using Time Series Classification (Nadine Kuhnert, Lea Pflüger, Andreas Maier)....Pages 131-136 Prediction of MRI Hardware Failures Based on Image Features Using Ensemble Learning (Nadine Kuhnert, Lea Pflüger, Andreas Maier)....Pages 137-142 Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes (Christian Lucas, Linda F. Aulmann, André Kemmling, Amir Madany Mamlouk, Mattias P. Heinrich)....Pages 143-143 Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval (Azeem Bootwala, Katharina Breininger, Andreas Maier, Vincent Christlein)....Pages 144-149 Multitask-Learning for the Extraction of Avascular Necrosis of the Femoral Head in MRI (Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Serong, Stefan Landgraeber, Marcus Jäger, Josef Pauli)....Pages 150-155 Investigation of Feature-Based Nonrigid Image Registration Using Gaussian Process (Siming Bayer, Ute Spiske, Jie Luo, Tobias Geimer, William M. Wells III, Martin Ostermeier et al.)....Pages 156-162 Intensity-Based 2D-3D Registration Using Normalized Gradient Fields (Annkristin Lange, Stefan Heldmann)....Pages 163-168 Deep Autofocus with Cone-Beam CT Consistency Constraint (Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios et al.)....Pages 169-174 Abstract: mlVIRNET (Alessa Hering, Stefan Heldmann)....Pages 175-175 Font Augmentation (Florian Kordon, Andreas Maier, Benedict Swartman, Holger Kunze)....Pages 176-182 Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning (Timo Kepp, Helge Sudkamp, Claus von der Burchard, Hendrik Schenke, Peter Koch, Gereon Hüttmann et al.)....Pages 183-183 Abstract: RinQ Fingerprinting (Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, Christopher Syben, Franziska Schirrmacher, Mathias Nittka et al.)....Pages 184-184 Abstract: Learning to Avoid Poor Images (Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell Taylor, Andreas Maier, Nassir Navab et al.)....Pages 185-185 Field of View Extension in Computed Tomography Using Deep Learning Prior (Yixing Huang, Lei Gao, Alexander Preuhs, Andreas Maier)....Pages 186-191 Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data (Maximilian Blendowski, Mattias P. Heinrich)....Pages 192-192 Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans (Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling et al.)....Pages 193-198 Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders (David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus Maier-Hein)....Pages 199-199 Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics (Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling et al.)....Pages 200-200 Quantitative Comparison of Generative Shape Models for Medical Images (Hristina Uzunova, Paul Kaftan, Matthias Wilms, Nils D. Forkert, Heinz Handels, Jan Ehrhardt)....Pages 201-207 Abstract: FastSurfer (Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter)....Pages 208-208 VICTORIA (Benjamin Behrendt, Samuel Voss, Oliver Beuing, Bernhard Preim, Philipp Berg, Sylvia Saalfeld)....Pages 209-214 Abstract: Deep Probabilistic Modeling of Glioma Growth (Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick et al.)....Pages 215-215 Parameter Space CNN for Cortical Surface Segmentation (Leonie Henschel, Martin Reuter)....Pages 216-221 Learning-Based Correspondence Estimation for 2-D/3-D Registration (Roman Schaffert, Markus Weiß, Jian Wang, Anja Borsdorf, Andreas Maier)....Pages 222-228 Abstract: Deep Learning Based CT-CBCT Image Registration for Adaptive Radio Therapy (Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann)....Pages 229-229 Learning-Based Misalignment Detection for 2-D/3-D Overlays (Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas Maier)....Pages 230-235 Deep Groupwise Registration of MRI Using Deforming Autoencoders (Hanna Siebert, Mattias P. Heinrich)....Pages 236-241 Robust Open Field Rodent Tracking Using a Fully Convolutional Network and a Softargmax Distance Loss (Marcin Kopaczka, Tobias Jacob, Lisa Ernst, Mareike Schulz, René Tolba, Dorit Merhof)....Pages 242-247 Deep OCT Angiography Image Generation for Motion Artifact Suppression (Julian Hossbach, Lennart Husvogt, Martin F. Kraus, James G. Fujimoto, Andreas K. Maier)....Pages 248-253 Open Source Simulation of Fixational Eye Drift Motion in OCT Scans (Merlin A. Nau, Stefan B. Ploner, Eric M. Moult, James G. Fujimoto, Andreas K. Maier)....Pages 254-259 Abstract: Multi-Task Framework for X-Ray Guided Planning in Knee Surgery (Florian Kordon, Peter Fischer, Maxim Privalov, Benedict Swartman, Marc Schnetzke, Jochen Franke et al.)....Pages 260-260 Abstract: 3D Catheter Guidance Including Shape Sensing for Endovascular Navigation (Sonja Jäckle, Verónica García-Vázquez, Felix von Haxthausen, Tim Eixmann, Malte Maria Sieren, Hinnerk Schulz-Hildebrandt et al.)....Pages 261-261 Erlernbarkeitsstudie eines vibrotaktilen Armbands für assistive Navigation (Hakan Calim, Andreas Maier)....Pages 262-267 Visualizing the Placental Energy State in Vivo (Shyamalakshmi Haridasan, Bernhard Preim, Christian Nasel, Gabriel Mistelbauer)....Pages 268-273 Modularization of Deep Networks Allows Cross-Modality Reuse (Weilin Fu, Lennart Husvogt, Stefan Ploner, James G. Fujimoto, Andreas Maier)....Pages 274-279 U-Net in Constraint Few-Shot Settings (Duc Duy Pham, Melanie Lausen, Gurbandurdy Dovletov, Sebastian Serong, Stefan Landgraeber, Marcus Jäger et al.)....Pages 280-285 Abstract: Multi-Scale GANs for Memory-Effcient Generation of High Resolution Medical Images (Hristina Uzunova, Jan Ehrhardt, Fabian Jacob, Alex Frydrychowicz, Heinz Handels)....Pages 286-286 Epoch-Wise Label Attacks for Robustness Against Label Noise (Sebastian Gündel, Andreas Maier)....Pages 287-292 Abstract: How Big is Big Enough? (Christof A. Bertram, Marc Aubreville, Christian Marzahl, Andreas Maier, Robert Klopfleisch)....Pages 293-293 Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung (Ron Keuth, Lasse Hansen, Mattias P. Heinrich)....Pages 294-300 Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach (Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas Maier)....Pages 301-306 Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer’s Disease (Martin Dyrba, Arjun H. Pallath, Eman N. Marzban)....Pages 307-312 Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks (Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas Maier)....Pages 313-313 Abstract: Fiber Optical Shape Sensing of Flexible Instruments (Sonja Jäckle, Tim Eixmann, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Torben Pätz)....Pages 314-314 Scalable HEVC for Histological Whole-Slide Image Compression (Daniel Bug, Felix Bartsch, Nadine Sarah Schaadt, Mathias Wien, Friedrich Feuerhake, Julia Schüler et al.)....Pages 315-321 Image Quilting for Histological Image Synthesis (Daniel Bug, Gregor Nickel, Anne Grote, Friedrich Feuerhake, Eva Oswald, Julia Schüler et al.)....Pages 322-327 An Open-Source Tool for Automated Planning of Overlapping Ablation Zones (A. M. Franz, B. J. Mittmann, J. Röser, B. Schmidberger, M. Meinke, P. L. Pereira et al.)....Pages 328-334 Combining 2-D and 3-D Weight-Bearing X-Ray Images (Christoph Luckner, Magdalena Herbst, Michael Fuhrmann, Ludwig Ritschl, Steffen Kappler, Andreas Maier)....Pages 335-340 Abstract: Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training (Sandy Engelhardt, Lalith Sharan, Matthias Karck, Raffaele De Simone, Ivo Wolf)....Pages 341-341 Haptic Rendering of Soft-Tissue for Training Surgical Procedures at the Larynx (Thomas Eixelberger, Jonas Parchent, Rolf Janka, Marc Stamminger, Michael Döllinger, Thomas Wittenberg)....Pages 342-347 Back Matter ....Pages 348-351