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ORCIDBildverarbeitung für die Medizin 2024: Erlangen, Germany
- Andreas Maier
, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff:
Bildverarbeitung für die Medizin 2024 - Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024. Informatik Aktuell, Springer 2024, ISBN 978-3-658-44036-7 - Sophia Bano:
Keynote: Recent Advances in Surgical AI for Next Generation Interventions. 1 - Silke H. Christiansen:
Keynote: 4-D+ nanoSCOPE Project. 2 - Merlin A. Nau, A. Hans Vija, Maximilian P. Reymann, Wesley Gohn, Andreas K. Maier:
Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies. 3-8 - Gianluca Brugnara, Michael Baumgartner, Edwin D. Scholze, Katerina Deike-Hofmann, Klaus Kades, Jonas Scherer, Stefan Denner, Hagen Meredig, Aditya Rastogi, Mustafa A. Mahmutoglu, Christian Ulfert, Ulf Neuberger, Silvia Schönenberger, Kai Schlamp, Zeynep Bendella, Thomas Pinetz, Carsten Schmeel, Wolfgang Wick, Peter A. Ringleb, Ralf Floca, Markus Möhlenbruch, Alexander Radbruch, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth:
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. 9 - Christof A. Bertram, Christian Marzahl, Alexander Bartel, Jason Stayt, Federico Bonsembiante, Janet Beeler-Marfisi, Ann K. Barton, Ginevra Brocca, Maria E. Gelain, Agnes C. Gläsel, Kelly du Preez, Kristina Weiler, Christiane Weissenbacher-Lang, Katharina Breininger, Marc Aubreville, Andreas K. Maier, Robert Klopfleisch, Jenny Hill:
Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning. 10 - Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. 11 - Leonhard Rist, Oliver Taubmann, Hendrik Ditt, Michael Sühling, Andreas K. Maier:
Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps. 12 - Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat, Prathmesh Madhu, Siming Bayer, Andreas K. Maier:
Attention-guided Erasing - Novel Augmentation Method for Enhancing Downstream Breast Density Classification. 13-18 - Frauke Wilm, Marcel Reimann, Oliver Taubmann, Alexander Mühlberg, Katharina Breininger:
Appearance-based Debiasing of Deep Learning Models in Medical Imaging. 19-24 - Luisa Gallée, Meinrad Beer, Michael Götz:
Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information. 25 - Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas K. Maier:
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. 26 - Kai Packhäuser, Lukas Folle, Tri-Thien Nguyen, Florian Thamm, Andreas K. Maier:
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs. 27-32 - Varsha Raveendran, Veronika Spieker, Rickmer F. Braren, Dimitrios C. Karampinos, Veronika A. Zimmer, Julia A. Schnabel:
Segmentation-guided Medical Image Registration - Quality Awareness using Label Noise Correctionn. 33-38 - Lasse Hansen, Jürgen Lichtenstein, Mattias P. Heinrich:
Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction. 39-45 - Temke Kohlbrandt, Jan Hendrik Moltz, Stefan Heldmann, Alessa Hering, Jan Lellmann:
Joint Learning of Image Registration and Change Detection for Lung CT Images. 46-51 - Jan Ehrhardt, Hristina Uzunova, Paul Kaftan, Julia Krüger, Roland Opfer, Heinz Handels:
Abstract: Focused Unsupervised Image Registration for Structure-specific Population Analysis. 52 - Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich:
Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B. 53 - Josh Stein, Maxime Di Folco, Julia A. Schnabel:
Influence of Prompting Strategies on Segment Anything Model (SAM) for Short-axis Cardiac MRI Segmentation. 54-59 - Paul Kaftan, Mattias P. Heinrich, Lasse Hansen, Volker Rasche, Hans A. Kestler, Alexander Bigalke:
Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN. 60-65 - Robert Kreher, Naveeth Reddy Chitti, Georg Hille, Janine Hürtgen, Miriam Mengoni, Andreas Dominik Braun, Thomas Tüting, Bernhard Preim, Sylvia Saalfeld:
Advanced Deep Learning for Skin Histoglyphics at Cellular Level. 66-71 - Ron Keuth, Mattias P. Heinrich:
Combining Image- and Geometric-based Deep Learning for Shape Regression - Comparison to Pixel-level Methods for Segmentation in Chest X-ray. 72-77 - Constantin Ulrich, Fabian Isensee, Tassilo Wald, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein:
Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent. 78 - Saikat Roy, Gregor Köhler, Michael Baumgartner, Constantin Ulrich, Fabian Isensee, Paul F. Jaeger, Klaus H. Maier-Hein:
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt. 79 - Philipp Ostheimer, Arno Lins, Bernhard Steger, Vito Romano, Marco Augustin, Daniel Baumgarten:
Abstract: Baseline Pipeline for Automated Eye Redness Extraction with Relation to Clinical Grading. 80 - Marc S. Seibel, Joshua Niemeijer, Marc Rowedder, Helge Sudkamp, Timo Kepp, Gereon Hüttmann, Heinz Handels:
Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations. 81 - Patrick T. Haft, Wenqi Huang, Gastão Cruz, Daniel Rueckert, Veronika A. Zimmer, Kerstin Hammernik:
Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging. 82-87 - Salman Ul Hassan Dar, Isabelle Ayx, Marie Kapusta, Theano Papavassiliu, Stefan O. Schönberg, Sandy Engelhardt:
Effect of Training Epoch Number on Patient Data Memorization in Unconditional Latent Diffusion Models. 88-93 - Moritz Zaiss, Junaid R. Rajput, Hoai Nam Dang, Vladimir Golkov, Daniel Cremers, Florian Knoll, Andreas K. Maier:
Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR. 94-99 - Till J. Bungert, Levin Kobelke, Paul F. Jaeger:
Abstract: Understanding Silent Failures in Medical Image Classification. 100 - Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen:
Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. 101 - Lucas Kulla, Philipp Schader, Klaus H. Maier-Hein, Marco Nolden:
Harmonized Import of Clinical Research Data for the Open Source Image Analysis Platform Kaapana. 102-107 - Maximilian Hahn, Bernhard Egger:
Interactive Exploration of Conditional Statistical Shape Models in the Web-browser - exploreCOSMOS. 108-113 - Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jäger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Görtz, Viktoria Schütz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein:
Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. 114 - Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD. 115 - Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger:
Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. 116 - Antonia Popp, Alaa Abd El Al, Marie Hoffmann, Ann Laube, Peter McGranaghan, Volkmar Falk, Anja Hennemuth, Alexander Meyer:
Segment-wise Evaluation in X-ray Angiography Stenosis Detection. 117-122 - Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Robert Klopfleisch, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry. 123-128 - Jonas R. Bohn, Christian M. Heidt, Silvia Dias Almeida, Lisa Kausch, Michael Götz, Marco Nolden, Petros Christopoulos, Stephan Rheinheimer, Alan A. Peters, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Klaus H. Maier-Hein, Claus Peter Heußel, Tobias Norajitra:
Abstract: Radiomics Processing Toolkit - Role of Feature Computation on Prediction Performance. 129 - Malte Tölle, Lukas Burger, Halvar Kelm, Sandy Engelhardt:
Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports. 130-135 - Marc Aubreville, Frauke Wilm, Nikolas Stathonikos, Katharina Breininger, Taryn A. Donovan, Samir Jabari, Robert Klopfleisch, Mitko Veta, Jonathan Ganz, Jonas Ammeling, Paul J. van Diest, Christof A. Bertram:
Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection. 136 - Jonathan Ganz, Chloé Puget, Jonas Ammeling, Eda Parlak, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Robert Klopfleisch, Marc Aubreville:
Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning. 137-142 - Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves:
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. 143-148 - Devesh Singh, Martin Dyrba:
Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles. 149-154 - Marc Rowedder, Timo Kepp, Tobias Neumann, Helge Sudkamp, Gereon Hüttmann, Heinz Handels:
Abstract: Denoising of Home OCT Images using Noise-to-noise Trained on Artificial Eye Data. 155 - Fuxin Fan, Yangkong Wang, Ludwig Ritschl, Ramyar Biniazan, Marcel Beister, Björn W. Kreher, Yixing Huang, Steffen Kappler, Andreas K. Maier:
Abstract: Metal-conscious Embedding for CBCT Projection Inpainting. 156 - Daniel Wolf, Tristan Payer, Catharina Silvia Lisson, Christoph Gerhard Lisson, Meinrad Beer, Michael Götz, Timo Ropinski:
Abstract: Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging - Evaluation of Contrastive and Masked Autoencoder Methods. 157 - Maximilian Fischer, Peter Neher, Peter J. Schüffler, Shuhan Xiao, Silvia Dias Almeida, Constantin Ulrich, Alexander Muckenhuber, Rickmer Braren, Michael Götz, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein:
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning. 158 - Fabian Wagner, Mareike Thies, Laura Pfaff, Oliver Aust, Sabrina Pechmann, Daniela Weidner, Noah Maul, Maximilian Rohleder, Mingxuan Gu, Jonas Utz, Felix Denzinger, Andreas K. Maier:
Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models. 159 - Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. 160-165 - Kartikay Tehlan, Michele Bissolo, Riccardo Silvioli, Johannes Oberreuter, Andreas Stier, Nassir Navab, Thomas Wendler:
Magnetisation Reconstruction for Quantum Metrology. 166-171 - Michael Schwimmbeck, Serouj Khajarian, Stefanie Remmele:
Improving Segmentation Models for AR-guided Liver Surgery using Synthetic Images. 172-177 - Kai Geißler, Markus Wenzel, Susanne Diekmann, Heinrich von Busch, Robert Grimm, Hans Meine:
Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI. 178-183 - Dominik Eckert, Magdalena Herbst, Julia Wicklein, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober:
Guidance to Noise Simulation in X-ray Imaging. 184-189 - Thomas Eixelberger, Qi Fang, Bisan A. Zohud, Ralf Hackner, Rene Jackstadt, Michael Stürzl, Elisabeth Naschberger, Thomas Wittenberg:
Automated Lesion Detection in Endoscopic Imagery for Small Animal Models. 190-195 - Carl A. Noack, Francesca De Benetti, Kartikay Tehlan, Nassir Navab, Thomas Wendler:
Ultrasound to CT Image-to-image Translation for Personalized Thyroid Screening. 196-201 - Anika Strittmatter, Alexander Hertel, Steffen Diehl, Matthias F. Froelich, Stefan O. Schönberg, Sonja Loges, Tobias Boch, Daniel Nowak, Alexander Streuer, Lothar R. Schad, Frank G. Zöllner:
Abstract: Multistage Registration of CT and Biopsy CT Images of Lung Tumors. 202 - Stefan B. Ploner, Jungeun Won, Julia Schottenhamml, Jessica Girgis, Kenneth Lam, Nadia Waheed, James G. Fujimoto, Andreas K. Maier:
Abstract: Spatiotemporal Illumination Model for 3D Image Fusion in Optical Coherence Tomography. 203 - Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas K. Maier:
Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction. 204 - Saskia Neuber, Pia F. Schulz, Sven Kuckertz, Jan Modersitzki:
Segmentation-inspired Image Registration. 205-210 - Mareike Thies, Fabian Wagner, Mingxuan Gu, Siyuan Mei, Yixing Huang, Sabrina Pechmann, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Georg Schett, Silke H. Christiansen, Andreas K. Maier:
Exploring Epipolar Consistency Conditions. 211-216 - Maximilian Rohleder, Charlotte Pradel, Fabian Wagner, Mareike Thies, Noah Maul, Felix Denzinger, Andreas K. Maier, Björn W. Kreher:
Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation. 217 - Benjamin El-Zein, Dominik Eckert, Thomas Weber, Maximilian Rohleder, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier:
Abstract: Realistic Collimated X-ray Image Simulation Pipeline. 218 - Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement. 219 - Zichen Zhang, Baochang Zhang, Mohammad Farid Azampour, Shahrooz Faghihroohi, Agnieszka Tomczak, Heribert Schunkert, Nassir Navab:
Self-supervised Vessel Segmentation from X-ray Images using Digitally Reconstructed Radiographs. 220-225 - Christopher Brückner, Chang Liu, Leonhard Rist, Andreas K. Maier:
Influence of imperfect annotations on deep learning segmentation models. 226-231 - Fenja Falta, Mattias P. Heinrich, Marian Himstedt:
Addressing the Bias of the Dice Coefficient - Semantic Segmentation of Peripheral Airways in Lung CT. 232-236 - Christopher J. Hansen, Jonas Conrad, Ronald Seidel, Nicolai R. Krekiehn, Eren Bora Yilmaz, Niklas Koser, Martin Götze, Toni Gehrmann, Sebastian Lauterbach, Christian Graetz, Christof Dörfer, Claus C. Glüer:
Automated Tooth Instance Segmentation and Pathology Annotation Pipeline for Panoramic Radiographs - Mask-R-CNN Approach with Elastic Transformations. 237-242 - Maximilian Ernst Tschuchnig, Julia Coste-Marin, Philipp Steininger, Michael Gadermayr:
Multi-task Learning to Improve Semantic Segmentation of CBCT Scans using Image Reconstruction. 243-248 - Stephan Prettner, Tatyana Ivanovska:
Non-specialist Versus Neural Network - An Example of Gender Classification from Abdominal CT Data. 249-254 - Marietta Stegmaier, Johanna P. Müller, Christian Schröder, Thomas G. Day, Michela Cuomo, Oliver Dewald, Sven Dittrich, Bernhard Kainz:
Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects. 255-260 - Max Gutbrod, Benedikt Geisler, David Rauber, Christoph Palm:
Data Augmentation for Images of Chronic Foot Wounds. 261-266 - Linda Vorberg, Oliver Taubmann, Hendrik Ditt, Andreas K. Maier:
Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels. 267-272 - Francesca De Benetti, Smaranda Bogoi, Nassir Navab, Thomas Wendler:
Preprocessing Evaluation and Benchmark for Multi-structure Segmentation of the Male Pelvis in MRI on the Gold Atlas Dataset. 273-278 - Dominik Pysch, Maja Schlereth, Mihai Pomohaci, Peter Fischer, Katharina Breininger:
Evaluation of Semi-automatic Segmentation of Liver Tumors for Intra-procedural Planning. 279-284 - Anish Raj, Laura Hansen, Fabian Tollens, Dominik Nörenberg, Giulia Villa, Anna Caroli, Frank G. Zöllner:
Generalizable Kidney Segmentation for Total Volume Estimation. 285-290 - Tianyi Wang, Chang Liu, Leonhard Rist, Andreas K. Maier:
Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning. 291-296 - Aniol Serra Juhé, Daniel Rinck, Andreas K. Maier:
Abstract: Generation of Synthetic 3D Data using Simulated MR Examinations in Augmented Reality. 297 - Tobias Rueckert, Maximilian Rieder, Hubertus Feussner, Dirk Wilhelm, Daniel Rueckert, Christoph Palm:
Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information. 298-303 - Christopher Hahne:
Learning High-resolution Delay-and-sum Beamforming. 304-309 - Lena Augustin, Fabian Wagner, Mareike Thies, Andreas K. Maier:
Neural Network-based Sinogram Upsampling in Real-measured CT Reconstruction. 310-315 - Florian Fürnrohr, Jens Wetzl, Marc Vornehm, Daniel Giese, Florian Knoll:
Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction. 316-321 - Lina Meyer, Lena-Marie Woelk, Christine E. Gee, Christian Lohr, Sukanya A. Kannabiran, Björn-Philipp Diercks, René Werner:
Deep Image Prior for Spatio-temporal Fluorescence Microscopy Images DECO-DIP. 322-327 - Raphael Maser, Meryem Abbad Andaloussi, François Lamoline, Andreas Husch:
Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization. 328-333 - Dimitrios Bounias, Michael Baumgartner, Peter Neher, Balint Kovacs, Ralf Floca, Paul F. Jaeger, Lorenz A. Kapsner, Jessica Eberle, Dominique Hadler, Frederik B. Laun, Sabine Ohlmeyer, Klaus H. Maier-Hein, Sebastian Bickelhaupt:
Abstract: Object Detection for Breast Diffusion-weighted Imaging. 334 - Robin Peretzke, Klaus H. Maier-Hein, Jonas Bohn, Yannick Kirchhoff, Saikat Roy, Sabrina Oberli-Palma, Daniela Becker, Pavlina Lenga, Peter Neher:
Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive. 335 - Siyuan Mei, Fuxin Fan, Andreas K. Maier:
Abstract: Metal Inpainting in CBCT Projections using Score-based Generative Model. 336 - Junaid R. Rajput, Tim A. Möhle, Moritz S. Fabian, Angelika Mennecke, Jochen A. Sembill, Joji B. Kuramatsu, Manuel Schmidt, Arnd Dörfler, Andreas K. Maier, Moritz Zaiss:
Abstract: Physics-informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T. 337 - Mohan Xu, Susann Dehmel, Lena Wiese:
Comparing Image Segmentation Neural Networks for the Analysis of Precision Cut Lung Slices. 338-343 - Zeyu Yang, Frank G. Zöllner:
Comparison of Deep Learning Image-to-image Models for Medical Image Translation. 344-349 - Wenke Karbole, Stefan B. Ploner, Jungeun Won, Anna Marmalidou, Hiroyuki Takahashi, Nadia K. Waheed, James G. Fujimoto, Andreas K. Maier:
3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT. 350-355 - Fabian Hörst, Sajad H. Schaheer, Giulia Baldini, Fin Hendrik Bahnsen, Jan Egger, Jens Kleesiek:
Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline. 356-361 - Noah Maul, Katharina Zinn, Fabian Wagner, Mareike Thies, Maximilian Rohleder, Laura Pfaff, Markus Kowarschik, Annette Birkhold, Andreas K. Maier:
Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model. 362 - Kai Packhäuser, Sebastian Gündel, Florian Thamm, Felix Denzinger, Andreas K. Maier:
Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs. 363
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