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2020 – today
- 2025
[j8]Jonathan Ganz
, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville:
Re-identification from histopathology images. Medical Image Anal. 99: 103335 (2025)- 2024
- [j7]Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram:
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. 94: 103155 (2024) - [c73]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. Bildverarbeitung für die Medizin 2024: 10 - [c72]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. Bildverarbeitung für die Medizin 2024: 11 - [c71]Frauke Wilm, Marcel Reimann, Oliver Taubmann, Alexander Mühlberg, Katharina Breininger:
Appearance-based Debiasing of Deep Learning Models in Medical Imaging. Bildverarbeitung für die Medizin 2024: 19-24 - [c70]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. Bildverarbeitung für die Medizin 2024: 116 - [c69]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. Bildverarbeitung für die Medizin 2024: 123-128 - [c68]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. Bildverarbeitung für die Medizin 2024: 136 - [c67]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. Bildverarbeitung für die Medizin 2024: 137-142 - [c66]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. Bildverarbeitung für die Medizin 2024: 143-148 - [c65]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. Bildverarbeitung für die Medizin 2024: 160-165 - [c64]Dominik Pysch, Maja Schlereth, Mihai Pomohaci, Peter Fischer, Katharina Breininger:
Evaluation of Semi-automatic Segmentation of Liver Tumors for Intra-procedural Planning. Bildverarbeitung für die Medizin 2024: 279-284 - [c63]Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger:
Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation. ECCV (75) 2024: 236-252 - [c62]Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger:
Leveraging Image Captions for Selective Whole Slide Image Annotation. MICCAI (12) 2024: 207-217 - [i52]Chloé Puget, Jonathan Ganz, Julian Ostermaier, Thomas Konrad, Eda Parlak, Christof Albert Bertram, Matti Kiupel, Katharina Breininger, Marc Aubreville, Robert Klopfleisch:
Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides. CoRR abs/2401.06169 (2024) - [i51]Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger:
Rethinking U-net Skip Connections for Biomedical Image Segmentation. CoRR abs/2402.08276 (2024) - [i50]Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville:
Re-identification from histopathology images. CoRR abs/2403.12816 (2024) - [i49]Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger:
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation. CoRR abs/2403.14429 (2024) - [i48]Mathias Öttl, Siyuan Mei, Frauke Wilm, Jana Steenpass, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger:
Analysing Diffusion Segmentation for Medical Images. CoRR abs/2403.14440 (2024) - [i47]Ahmed Gomaa, Yixing Huang, Amr Hagag, Charlotte Schmitter, Daniel Höfler, Thomas Weissmann, Katharina Breininger, Manuel A. Schmidt, Jenny Stritzelberger, Daniel Delev, Roland Coras, Arnd Dörfler, Oliver Schnell, Benjamin Frey, Udo S. Gaipl, Sabine Semrau, Christoph Bert, Rainer Fietkau, Florian Putz:
Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. CoRR abs/2405.12963 (2024) - [i46]Jonathan Ganz, Christian Marzahl, Jonas Ammeling, Barbara Richter, Chloé Puget, Daniela Denk, Elena A. Demeter, Flaviu A. Tabaran, Gabriel Wasinger, Karoline Lipnik, Marco Tecilla, Matthew J. Valentine, Michael J. Dark, Niklas Abele, Pompei Bolfa, Ramona Erber, Robert Klopfleisch, Sophie Merz, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images. CoRR abs/2406.19899 (2024) - [i45]Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger:
Leveraging image captions for selective whole slide image annotation. CoRR abs/2407.06363 (2024) - [i44]Catalina Gomez, Ruolin Wang, Katharina Breininger, Corinne Casey, Chris Bradley, Mitchell Pavlak, Alex Pham, Jithin Yohannan, Mathias Unberath:
Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone. CoRR abs/2407.11974 (2024) - [i43]Frauke Wilm, Mathias Öttl, Marc Aubreville, Katharina Breininger:
Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation. CoRR abs/2409.09797 (2024) - [i42]Lennart Karstensen, Harry Robertshaw, Johannes Hatzl, Benjamin Jackson, Jens Langejürgen, Katharina Breininger, Christian Uhl, S. M. Hadi Sadati, Thomas C. Booth, Christos Bergeles, Franziska Mathis-Ullrich:
Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions. CoRR abs/2410.01956 (2024) - 2023
- [j6]Anna-Maria Wölfl, Anne Schützenberger, Katharina Breininger, Andreas M. Kist:
Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensing. Biomed. Signal Process. Control. 86(Part C): 105335 (2023) - [j5]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger:
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84: 102699 (2023) - [c61]Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. Bildverarbeitung für die Medizin 2023: 82-87 - [c60]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Mitko Veta, Katharina Breininger:
Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. Bildverarbeitung für die Medizin 2023: 115 - [c59]Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram:
Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. Bildverarbeitung für die Medizin 2023: 189-195 - [c58]Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. Bildverarbeitung für die Medizin 2023: 205 - [c57]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. Bildverarbeitung für die Medizin 2023: 206-211 - [c56]Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville:
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. Bildverarbeitung für die Medizin 2023: 220-225 - [c55]Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. Bildverarbeitung für die Medizin 2023: 226-231 - [c54]Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas K. Maier:
Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. Bildverarbeitung für die Medizin 2023: 260 - [c53]Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. ICCV (Workshops) 2023: 3858-3866 - [c52]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 Maier, Katharina Breininger:
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. ISBI 2023: 1-5 - [c51]Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas Maier:
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. ISBI 2023: 1-5 - [c50]Mathias Öttl, Jana Steenpass, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger:
Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. ISBI 2023: 1-5 - [c49]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger:
Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. ISBI 2023: 1-5 - [c48]Jonas Ammeling, Carina Manger, Elias Kwaka, Sebastian Krügel, Matthias Uhl, Angelika Kießig, Alexis Fritz, Jonathan Ganz, Andreas Riener, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. MuC 2023: 330-335 - [c47]Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz:
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. DEMI@MICCAI 2023: 11-20 - [c46]Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. MICCAI (2) 2023: 90-100 - [c45]Anne von Querfurth, Florian Kordon, Felix Denzinger, Katharina Breininger, Holger Kunze:
Lung, nodule, and airway segmentation using partially annotated data. Image-Guided Procedures 2023 - [d2]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Robert Klopfleisch, Andreas Maier, Katharina Breininger, Marc Aubreville:
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. Zenodo, 2023
- [d1]Frauke Wilm, Christian Ihling, Gabor Mehes, Luigi Terracciano, Chloé Puget, Robert Klopfleisch, Peter J. Schüffler, Marc Aubreville, Andreas Maier, Thomas Mrowiec, Katharina Breininger:
Pan-Tumor T-Lymphocyte Detection Dataset. Zenodo, 2023 - [i41]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. CoRR abs/2301.04423 (2023) - [i40]Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger:
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. CoRR abs/2307.07168 (2023) - [i39]Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. CoRR abs/2308.01769 (2023) - [i38]Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram:
Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR abs/2309.15589 (2023) - [i37]Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz:
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR abs/2310.04187 (2023) - [i36]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. CoRR abs/2311.07216 (2023) - [i35]Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard. CoRR abs/2311.08949 (2023) - [i34]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. CoRR abs/2312.15825 (2023) - 2022
- [c44]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. Bildverarbeitung für die Medizin 2022: 121-126 - [c43]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. Bildverarbeitung für die Medizin 2022: 135-140 - [c42]Antonia Popp, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Andreas K. Maier, Katharina Breininger:
Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning. Bildverarbeitung für die Medizin 2022: 153-158 - [c41]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. Bildverarbeitung für die Medizin 2022: 223-228 - [c40]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. Bildverarbeitung für die Medizin 2022: 254-259 - [c39]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. Bildverarbeitung für die Medizin 2022: 261-266 - [c38]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. Bildverarbeitung für die Medizin 2022: 285-290 - [c37]Jingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier:
Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. EMBC 2022: 945-949 - [c36]Jonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville:
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. MIDOG/DRAC@MICCAI 2022: 201-205 - [c35]Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas Maier:
A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT. MICCAI (2) 2022: 517-527 - [c34]Holger Kunze, Florian Kordon, Andreas Maier, Katharina Breininger:
Direct and indirect image rotation estimation methods of orthopedic x-ray images. Image Processing 2022 - [c33]Kubilay Can Demir, Matthias S. May, Axel Schmid, Michael Uder, Katharina Breininger, Tobias Weise, Andreas K. Maier, Seung Hee Yang:
PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis. TSD 2022: 464-475 - [i33]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. CoRR abs/2201.07572 (2022) - [i32]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. CoRR abs/2201.10511 (2022) - [i31]Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville:
Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset. CoRR abs/2201.11446 (2022) - [i30]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. CoRR abs/2201.11630 (2022) - [i29]Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger:
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. CoRR abs/2202.03671 (2022) - [i28]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger:
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022) - [i27]Kubilay Can Demir, Matthias S. May, Axel Schmid, Michael Uder, Katharina Breininger, Tobias Weise, Andreas K. Maier, Seung Hee Yang:
PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant using Interventional Radiology Workflow Analysis. CoRR abs/2206.12320 (2022) - [i26]Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas K. Maier:
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. CoRR abs/2209.07232 (2022) - [i25]Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas K. Maier:
Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples. CoRR abs/2211.05884 (2022) - [i24]Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger:
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks. CoRR abs/2211.06150 (2022) - [i23]Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger:
Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology. CoRR abs/2211.16141 (2022) - [i22]Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram:
Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector. CoRR abs/2212.05900 (2022) - [i21]Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images. CoRR abs/2212.07721 (2022) - [i20]Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville:
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. CoRR abs/2212.07724 (2022) - 2021
- [b1]Katharina Breininger:
Machine Learning and Deformation Modeling for Workflow-Compliant Image Fusion during Endovascular Aortic Repair (Maschinelles Lernen und Deformationsmodellierung zur Workflow-kompatiblen Bildfusion für endovaskuläre Aortenreparaturen). University of Erlangen-Nuremberg, Germany, 2021 - [j4]Weilin Fu, Katharina Breininger, Roman Schaffert, Zhaoya Pan, Andreas K. Maier:
"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. Int. J. Comput. Assist. Radiol. Surg. 16(6): 967-978 (2021) - [c32]Katharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas Maier:
Abstract: Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair. Bildverarbeitung für die Medizin 2021: 35 - [c31]Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier:
Abstract: Automatic CAD-RADS Scoring using Deep Learning. Bildverarbeitung für die Medizin 2021: 104 - [c30]Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. Bildverarbeitung für die Medizin 2021: 134-139 - [c29]Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville:
Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT. Bildverarbeitung für die Medizin 2021: 147-152 - [c28]Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annabelle Heier, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Franziska Sebastian, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. Bildverarbeitung für die Medizin 2021: 241-246 - [c27]Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas K. Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville:
Automatic and explainable grading of meningiomas from histopathology images. COMPAY@MICCAI 2021: 69-80 - [c26]Christian Marzahl, Frauke Wilm, Franz F. Dressler, Lars Tharun, Sven Perner, Christof A. Bertram, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger:
Robust Quad-Tree based Registration on Whole Slide Images. COMPAY@MICCAI 2021: 181-190 - [c25]Luisa Theelke, Frauke Wilm, Christian Marzahl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger:
Iterative Cross-Scanner Registration for Whole Slide Images. ICCVW 2021: 582-590 - [c24]Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville:
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 5-13 - [i19]Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. CoRR abs/2101.01445 (2021) - [i18]Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville:
Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images. CoRR abs/2101.04943 (2021) - [i17]Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie D. ter Hoeve, Francesco Ciompi, Andreas Maier:
Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. CoRR abs/2103.16515 (2021) - [i16]Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville:
Automatic and explainable grading of meningiomas from histopathology images. CoRR abs/2107.08850 (2021) - [i15]Christian Marzahl, Jenny Hill, Jason Stayt, Dorothee Bienzle, Lutz Welker, Frauke Wilm, Jörn Voigt, Marc Aubreville, Andreas K. Maier, Robert Klopfleisch, Katharina Breininger, Christof A. Bertram:
Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens. CoRR abs/2108.08529 (2021) - [i14]Frauke Wilm, Katharina Breininger, Marc Aubreville:
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge. CoRR abs/2108.11269 (2021) - [i13]Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof A. Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier:
First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. CoRR abs/2111.03663 (2021) - 2020
- [c23]Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier:
Degenerating U-Net on Retinal Vessel Segmentation. Bildverarbeitung für die Medizin 2020: 33-38 - [c22]Azeem Bootwala, Katharina Breininger, Andreas K. Maier, Vincent Christlein:
Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. Bildverarbeitung für die Medizin 2020: 144-149 - [c21]Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier:
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. Bildverarbeitung für die Medizin 2020: 193-198 - [c20]Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier:
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Bildverarbeitung für die Medizin 2020: 200 - [c19]Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier:
Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. Bildverarbeitung für die Medizin 2020: 313 - [c18]Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier:
Automatic CAD-RADS Scoring Using Deep Learning. MICCAI (6) 2020: 45-54 - [c17]Katharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas K. Maier:
Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. MICCAI (4) 2020: 713-723 - [p1]Andreas Maier, Vincent Christlein, Katharina Breininger, Tobias Würfl, Mathias Unberath, Christian Riess:
Bildanalyse. Handbuch der Künstlichen Intelligenz 2020: 673-712 - [i12]Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier:
Automatic CAD-RADS Scoring Using Deep Learning. CoRR abs/2010.01963 (2020) - [i11]Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville:
How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment. CoRR abs/2012.02495 (2020)
2010 – 2019
- 2019
- [j3]Katharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas Maier:
Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair. Int. J. Comput. Assist. Radiol. Surg. 14(11): 1891-1899 (2019) - [c16]Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier:
Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. Bildverarbeitung für die Medizin 2019: 21 - [c15]Katharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas K. Maier:
3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image. Bildverarbeitung für die Medizin 2019: 172-177 - [c14]Nikolaus Arbogast, Tanja Kurzendorfer, Katharina Breininger, Peter Mountney, Daniel Toth, Srinivas Ananth Narayan, Andreas K. Maier:
Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks. Bildverarbeitung für die Medizin 2019: 191-196 - [c13]Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier:
A Divide-and-Conquer Approach Towards Understanding Deep Networks. MICCAI (1) 2019: 183-191 - [c12]Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier:
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. MICCAI (4) 2019: 593-601 - [c11]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier:
Projection image-to-image translation in hybrid x-ray/MR imaging. Image Processing 2019: 109492K - [c10]Tanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Andreas K. Maier, Rebecca Fahrig:
Left ventricle segmentation in LGE-MRI using multiclass learning. Image Processing 2019: 1094929 - [e1]Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci:
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11794, Springer 2019, ISBN 978-3-030-33326-3 [contents] - [i10]Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier:
A Divide-and-Conquer Approach towards Understanding Deep Networks. CoRR abs/1907.06194 (2019) - [i9]Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier:
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation. CoRR abs/1911.02660 (2019) - [i8]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. CoRR abs/1911.08163 (2019) - [i7]Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier:
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics. CoRR abs/1912.06075 (2019) - [i6]Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier:
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. CoRR abs/1912.06417 (2019) - 2018
- [j2]Katharina Breininger, Shadi Albarqouni, Tanja Kurzendorfer, Marcus Pfister, Markus Kowarschik, Andreas K. Maier:
Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1221-1231 (2018) - [j1]Tobias Würfl, Mathis Hoffmann, Vincent Christlein, Katharina Breininger, Yixing Huang, Mathias Unberath, Andreas K. Maier:
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. IEEE Trans. Medical Imaging 37(6): 1454-1463 (2018) - [c9]Katharina Breininger, Vincent Christlein, Tobias Würfl, Andreas K. Maier:
Deep Learning Fundamentals. Bildverarbeitung für die Medizin 2018: 5 - [c8]Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier:
Frangi-Net. Bildverarbeitung für die Medizin 2018: 341-346 - [c7]André Aichert, Katharina Breininger, Thomas Köhler, Andreas K. Maier:
Abstract: Efficient Epipolar Consistency. Bildverarbeitung für die Medizin 2018: 372 - [c6]Tobias Geimer, Paul J. Keall, Katharina Breininger, Vincent Caillet, Michelle Dunbar, Christoph Bert, Andreas Maier:
Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. GCPR 2018: 583-594 - [c5]Aline Sindel, Katharina Breininger, Johannes Käßer, Andreas Hess, Andreas K. Maier, Thomas Köhler:
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests. ICIP 2018: 1453-1457 - [c4]Tanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Alexander Brost, Christoph Forman, Andreas K. Maier:
Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification. ICPR 2018: 3168-3173 - [c3]Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier:
Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. CVII-STENT/LABELS@MICCAI 2018: 19-27 - [c2]Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier:
Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. MICCAI (1) 2018: 145-153 - [i5]Aline Sindel, Katharina Breininger, Johannes Käßer, Andreas Hess, Andreas K. Maier, Thomas Köhler:
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests. CoRR abs/1802.05518 (2018) - [i4]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd Dörfler, Andreas K. Maier:
Projection image-to-image translation in hybrid X-ray/MR imaging. CoRR abs/1804.03955 (2018) - [i3]Tobias Geimer, Paul J. Keall, Katharina Breininger, Vincent Caillet, Michelle Dunbar, Christoph Bert, Andreas K. Maier:
Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. CoRR abs/1804.11227 (2018) - 2017
- [i2]Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas K. Maier:
A Deep Learning Approach for Reconstruction Filter Kernel Discretization. CoRR abs/1710.06287 (2017) - [i1]Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas K. Maier:
Frangi-Net: A Neural Network Approach to Vessel Segmentation. CoRR abs/1711.03345 (2017) - 2014
- [c1]Katharina Breininger, Andreas K. Maier, Christoph Forman, Wilhelm Flatz, Catalina Meßmer, Maria Schuster:
Alae Tracker. Bildverarbeitung für die Medizin 2014: 336-341
Coauthor Index
[j8] [j7] [c73] [c72] [c69] [c68] [c67] [c66] [c62] [i52] [i51] [i50] [i46] [i45] [i43] [j5] [c60] [c59] [c58] [c57] [c56] [c55] [c49] [c48] [c46] [d2] [d1] [i41] [i40] [i38] [i36] [i35] [c36] [i31] [i28] [i23] [i22] [i21] [i20] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i19] [i18] [i17] [i16] [i15] [i14] [i11]
[c73] [c70] [c65] [c63] [i49] [i48] [j5] [c60] [c58] [c57] [c54] [c52] [c51] [c50] [c49] [d2] [d1] [i41] [i34] [c44] [c42] [c41] [c40] [c39] [c38] [c35] [c34] [c33] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [j4] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i19] [i18] [i17] [i16] [i15] [i13] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [p1] [i12] [i11] [j3] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i10] [i9] [i8] [i7] [i6] [j2] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i5] [i4] [i3] [i2] [i1] [c1]
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