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ORCIDBildverarbeitung für die Medizin 2022: Heidelberg, Germany
- Klaus H. Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier
, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022. Informatik Aktuell, Springer 2022, ISBN 978-3-658-36931-6 - Julia Andresen, Timo Kepp, Michael Wang-Evers, Jan Ehrhardt, Dieter Manstein, Heinz Handels:
Unsupervised Segmentation of Wounds in Optical Coherence Tomography Images Using Invariant Information Clustering. 1-6 - Mona Schumacher, Ragnar Bade, Andreas Genz, Mattias P. Heinrich:
Iterative 3D CNN Based Segmentation of Vascular Trees in Liver CT. 7-12 - Annika Hänsch, Felix Thielke, Hans Meine, Shereen Rennebaum, Matthias F. Froelich, Lena S. Becker, Jan B. Hinrichs, Andrea Schenk:
Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases. 13-18 - Hellena Hempe, Mattias P. Heinrich:
Abstract: Light-weight Semantic Segmentation and Labelling of Vertebrae in 3D-CT Scans. 19 - Mingxuan Gu, Sulaiman Vesal, Ronak Kosti, Andreas K. Maier:
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation. 20-25 - David Zimmerer, Daniel Paech, Carsten T. Lüth, Jens Petersen, Gregor Köhler, Klaus H. Maier-Hein:
Unsupervised Anomaly Detection in the Wild. 26-31 - Timo Kepp, Julia Andresen, Helge Sudkamp, Claus von der Burchard, Johann Roider, Gereon Hüttmann, Jan Ehrhardt, Heinz Handels:
Epistemic and Aleatoric Uncertainty Estimation for PED, Segmentation in Home OCT Images. 32-37 - Camila González, Christian L. Harder, Amin Ranem, Ricarda Fischbach, Isabel J. Kaltenborn, Armin Dadras, Andreas M. Bucher, Anirban Mukhopadhyay:
Quality Monitoring of Federated Covid-19 Lesion Segmentation. 38-43 - Florian Thamm, Oliver Taubmann, Markus Jürgens, Hendrik Ditt, Andreas K. Maier:
Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations. 44-49 - Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: nnDetection - A Self-configuring Method for Medical Object Detection. 50 - Disha D. Rao, Nicole Maass, Frank Dennerlein, Andreas K. Maier, Yixing Huang:
Machine Learning-based Detection of Spherical Markers in CT Volumes. 51-56 - Aline Sindel, Bettina Hohberger, Sebastian Fassihi Dehcordi, Christian Y. Mardin, Robert Lämmer, Andreas K. Maier, Vincent Christlein:
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-modal Retinal Image Registration. 57-62 - Richin Sukesh, Andreas Fieselmann, Srikrishna Jaganathan, Karthik Shetty, Rainer Kärgel, Florian Kordon, Steffen Kappler, Andreas K. Maier:
Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes. 63-68 - Stephanie Häger, Annkristin Lange, Stefan Heldmann, Jan Modersitzki, Andreas Petersik, Manuel Schröder, Heiko Gottschling, Thomas Lieth, Erich Zähringer, Jan Hendrik Moltz:
Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn). 69-74 - Fenja Falta, Lasse Hansen, Marian Himstedt, Mattias P. Heinrich:
Learning an Airway Atlas from Lung CT Using Semantic Inter-patient Deformable Registration. 75-80 - Hristina Uzunova, Heinz Handels, Jan Ehrhardt:
Abstract: Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders. 81 - Florian Kordon, Andreas K. Maier, Benedict Swartman, Maxim Privalov, Jan Siad El Barbari, Holger Kunze:
Abstract: Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery. 82 - Jan N. Hombeck, Nils Lichtenberg, Kai Lawonn:
Heads up A Study of Assistive Visualizations for Localisation Guidance in Virtual Reality. 83-88 - Niklas Hermes, Lasse Hansen, Alexander Bigalke, Mattias P. Heinrich:
Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation. 89-94 - Arpitha Ravi, Florian Kordon, Andreas K. Maier:
Automatic Switching of Organ Programs in Interventional X-ray Machines Using Deep Learning. 95-100 - Carina Krosse, Rainer Brucher, Alfred M. Franz:
Ermittlung der Geometrie von Amputationsstümpfen mittels Ultraschall. 101-106 - Fabian Wagner, Mareike Thies, Marek Karolczak, Sabrina Pechmann, Yixing Huang, Mingxuan Gu, Lasse Kling, Daniela Weidner, Oliver Aust, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy. 107-112 - Matthias Eisenmann, Minu Dietlinde Tizabi, Keno März, Lena Maier-Hein:
Abstract: How to Generate Patient Benefit with Surgical Data Science - Results of an International Delphi Process. 113 - Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Frank Hertel, Andreas Husch:
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. 114 - David Rauber, Robert Mendel, Markus W. Scheppach, Alanna Ebigbo, Helmut Messmann, Christoph Palm:
Analysis of Celiac Disease with Multimodal Deep Learning. 115-120 - Weilin Fu, Lennart Husvogt, Katharina Breininger, Roman Schaffert, Omar Abu-Qamar, James G. Fujimoto, Andreas K. Maier:
Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse. 121-126 - Lisa Kausch, Sarina Thomas, Holger Kunze, Tobias Norajitra, André Klein, Jan Siad El Barbari, Maxim Privalov, Sven Yves Vetter, Andreas H. Mahnken, Lena Maier-Hein, Klaus H. Maier-Hein:
Abstract: C-arm Positioning for Spinal Standard Projections in Different Intra-operative Settings. 127 - Ivo M. Baltruschat, Hanna Cwieka, Diana Krüger, Berit Zeller-Plumhoff, Frank Schlünzen, Regine Willumeit-Römer, Julian Moosmann, Philipp Heuser:
Abstract: Verbesserung des 2D U-Nets für die 3D Mikrotomographie mit Synchrotronstrahlung mittels Multi-Axes Fusing. 128 - Luisa Neubig, René Groh, Melda Kunduk, Deirdre Larsen, Rebecca Leonard, Andreas M. Kist:
Efficient Patient Orientation Detection in Videofluoroscopy Swallowing Studies. 129-134 - Nikolaus Arbogast, Holger Kunze, Florian Kordon, Benedict Swartman, Jan Siad El Barbari, Katharina Breininger:
TowardsWeakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN Losses. 135-140 - Ralf Hackner, Thomas Eixelberger, Milan Schmidle, Volker Bruns, Edgar Lehmann, Udo Geissler, Thomas Wittenberg:
3D Reconstruction of the Colon from Monocular Sequences Evaluation by 3D-printed Phantom Data. 141-146 - Leon Weninger, Jarek Ecke, Chuh-Hyoun Na, Kerstin Jütten, Dorit Merhof:
Diffusion MRI Specific Pretraining by Self-supervision on an Auxiliary Dataset. 147-152 - Antonia Popp, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Andreas K. Maier, Katharina Breininger:
Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning. 153-158 - Christian Matek, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, Carsten Marr:
Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells. 159 - Lukas Burger, Lalith Sharan, Samantha Fischer, Julian Brand, Maximillian Hehl, Gabriele Romano, Matthias Karck, Raffaele De Simone, Ivo Wolf, Sandy Engelhardt:
Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements. 160-165 - Jonas Cordes, Thomas Enzlein, Christian Marsching, Marven Hinze, Sandy Engelhardt, Carsten Hopf, Ivo Wolf:
Abstract: M2aia: Mass Spectrometry Imaging Applications for Interactive Analysis in MITK. 166 - Jan Plier, Matthias Zisler, Jennifer Furkel, Maximilian Knoll, Alexander Marx, Alena Fischer, Kai Polsterer, Mathias H. Konstandin, Stefania Petra:
Learning Features via Transformer Networks for Cardiomyocyte Profiling. 167-172 - Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas K. Maier:
Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning. 173-178 - Francesca De Benetti, Verena Bentele, Egon Burian, Marcus R. Makowski, Nassir Navab, Rickmer Braren, Thomas Wendler:
Longitudinal Analysis of Disease Progression Using Image and Laboratory Data for Covid-19 Patients. 179-184 - Nico Zettler, Derya Dogan, André Mastmeyer:
Adipose and Muscular Tissue Removal for Direct Volume Rendering of the Visceral Region in Abdominal 3D CT Images. 185-190 - Ann-Kathrin Greiner-Perth, Eva Marschall, Tobias Kannberg, Benjamin Johannes Mittmann, Bernd Schmitz, Michael Braun, Alfred M. Franz:
Elektromagnetisches Instrumententracking für die Schlaganfallbehandlung mittels Thrombektomie. 191-196 - Hristina Uzunova, Leonie Basso, Jan Ehrhardt, Heinz Handels:
Abstract: Synthesis of Annotated Pathological Retinal OCT Data with Pathology-Induced Deformations. 197 - Sven Koehler, Lalith Sharan, Julian Kuhm, Arman Ghanaat, Jelizaveta Gordejeva, Nike K. Simon, Niko M. Grell, Florian André, Sandy Engelhardt:
Comparison of Evaluation Metrics for Landmark Detection in CMR Images. 198-203 - Marius Pullig, Benjamin Bergner, Amish Doshi, Anja Hennemuth, Zahi A. Fayad, Christoph Lippert:
Deep Learning Models for 3D MRI Brain Classification - A Multi-sequence Comparison. 204-209 - Lukas Folle, Katharian Tkotz, Fasil Gadjimuradov, Lorenz A. Kapsner, Moritz Fabian, Sebastian Bickelhaupt, David Simon, Arnd Kleyer, Gerhard Krönke, Moritz Zaiß, Armin M. Nagel, Andreas K. Maier:
Towards Super-resolution CEST MRI for Visualization of Small Structures. 210-215 - Haobo Song, Chang Liu, Lukas Folle, Andreas K. Maier:
Multi-organ Segmentation with Partially Annotated Datasets. 216-221 - Jennifer Furkel, Maximilian Knoll, Shabana Din, Nicolai V. Bogert, Timon Seeger, Norbert Frey, Amir Abdollahi, Hugo A. Katus, Mathias H. Konstandin:
Abstract: C-MORE: A High-content Single-cell Morphology Recognition Methodology for Liquid Biopsies Toward Personalized Cardiovascular Medicine. 222 - Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier:
First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. 223-228 - Marcin Kopaczka, Lisa Ernst, Mareike Schulz, René Tolba, Dorit Merhof:
Computation of Traveled Distance of Pigs in an Open Field with Fully Convolutional Neural Networks. 229-234 - Laura Graf, Sven Mischkewitz, Lasse Hansen, Mattias P. Heinrich:
Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data - Improving Usability of AI-based Image Guidance. 235-240 - Rebecca Preßler, Kai Lawonn, Bernhard Preim, Monique Meuschke:
Virtual DSA Visualization of Simulated Blood Flow Data in Cerebral Aneurysms. 241-246 - Anselm von Gladiss, Raphael Memmesheimer, Nick Theisen, Anna C. Bakenecker, Thorsten M. Buzug, Dietrich Paulus:
Reconstruction of 1D Images with a Neural Network for Magnetic Particle Imaging. 247-252 - Sonja Jäckle, Tim Eixmann, Florian Matysiak, Malte Maria Sieren, Marco Horn, Hinnerk Schulz-Hildebrandt, Gereon Hüttmann, Torben Pätz:
Abstract: 3D Stent Graft Guidance Based on Tracking Systems. 253 - Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger:
Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. 254-259 - Patrick Godau, Lena Maier-Hein:
Abstract: Task Fingerprinting for Meta Learning in Biomedical Image Analysis. 260 - Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst:
Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. 261-266 - Danilo Weber Nunes, Michael Hammer, Simone Hammer, Wibke Uller, Christoph Palm:
Classification of Vascular Malformations Based on T2 STIR Magnetic Resonance Imaging. 267-272 - Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter J. Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden:
DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform. 273-278 - Klaus Kades, Jonas Scherer, Jan Scholtyssek, Tobias Penzkofer, Marco Nolden, Klaus H. Maier-Hein:
Efficient DICOM Image Tagging and Cohort Curation Within Kaapana. 279-284 - Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling:
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. 285-290 - Maximilian Zenk, David Zimmerer, Fabian Isensee, Paul F. Jäger, Jakob Wasserthal, Klaus H. Maier-Hein:
Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks. 291-296 - Mehri Baniasadi, Andreas Husch, Daniele Proverbio, Isabel Fernandes Arroteia, Frank Hertel, Jorge M. Gonçalves:
Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data. 297-302 - Sebastian Steindl, Tatyana Ivanovska, Fabian Brunner:
Pathologiespezifische Behandlung von Labelunsicherheit bei der Klassifikation von Thorax-Röntgenbildern. 303-308 - Alexandra Ertl, Alfred M. Franz, Bernd Schmitz, Michael Braun:
3D CNN-based Identification of Hyperdensities in Cranial Non-contrast CT After Thrombectomy. 309-314 - Annika Niemann, Bernhard Preim, Oliver Beuing, Sylvia Saalfeld:
Predicting Aneurysm Rupture with Deep Learning on 3D Models. 315-320 - Amir El-Ghoussani, Dalia Rodríguez-Salas, Mathias Seuret, Andreas K. Maier:
GAN-based Augmentation of Mammograms to Improve Breast Lesion Detection. 321-326 - Yuli Wu, Peter Walter, Dorit Merhof:
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography. 327-332 - Oliver Aust, Mareike Thies, DanielaWeidner, Fabian Wagner, Sabrina Pechmann, Leonid Mill, Darja Andreev, Ippei Miyagawa, Gerhard Krönke, Silke H. Christiansen, Stefan Uderhardt, Andreas K. Maier, Anika Grüneboom:
Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network. 333-338 - Samuel Schüttler, Frederic Madesta, Thomas Rösch, René Werner, Rüdiger Schmitz:
Reinforcement learning-basierte Patchpriorisierung zur beschleunigten Segmentierung von hochauflösenden Endoskopievideodaten. 339-344 - Andreas K. Maier, Seung Hee Yang, Farhad Maleki, Nikesh Muthukrishnan, Reza Forghani:
Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning? - A Case Study Using Dual Energy CT Data. 345-350 - Vinothini Selvaraju, Nicolai Spicher, Ramakrishnan Swaminathan, Thomas M. Deserno:
Abstract: Face Detection From In-car Video for Continuous Health Monitoring. 351
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