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Paul F. Jaeger
Paul F. Jäger – Paul Jaeger 0002 – Paul Jäger 0002
Person information
- affiliation: Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Deutschland
Other persons with the same name
- Paul T. Jaeger (aka: Paul Jaeger 0001) — University of Maryland, College of Information Studies, College Park, MD, USA (and 1 more)
- Paul Jäger 0003 — Heinrich Heine University Düsseldorf, University Hospital Düsseldorf, Department of Hematology, Oncology, and Clinical Immunology, Germany
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2020 – today
- 2024
- [j5]Zdravko Marinov
, Paul F. Jäger
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10998-11018 (2024) - [c40]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. Bildverarbeitung für die Medizin 2024: 79 - [c39]Till J. Bungert, Levin Kobelke, Paul F. Jaeger:
Abstract: Understanding Silent Failures in Medical Image Classification. Bildverarbeitung für die Medizin 2024: 100 - [c38]Balint Kovacs
Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. Bildverarbeitung für die Medizin 2024: 114 - [c37]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. Bildverarbeitung für die Medizin 2024: 115 - [c36]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. Bildverarbeitung für die Medizin 2024: 219 - [c35]Dimitrios Bounias
Abstract: Object Detection for Breast Diffusion-weighted Imaging. Bildverarbeitung für die Medizin 2024: 334 - [c34]Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger:
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation. ICLR 2024 - [c33]Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein:
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? MICCAI (10) 2024: 124-132 - [c32]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jäger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. MICCAI (9) 2024: 488-498 - [c31]Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. WACV 2024: 799-807 - [i41]Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger:
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation. CoRR abs/2401.08501 (2024) - [i40]Stefan Denner
Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology. CoRR abs/2403.06567 (2024) - [i39]Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation. CoRR abs/2403.12834 (2024) - [i38]Fabian Isensee, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger:
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation. CoRR abs/2404.09556 (2024) - [i37]Shuhan Xiao, Lukas Klein, Jens Petersen, Philipp Vollmuth, Paul F. Jaeger, Klaus H. Maier-Hein:
Enhancing predictive imaging biomarker discovery through treatment effect analysis. CoRR abs/2406.02534 (2024) - [i36]Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein:
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation. CoRR abs/2406.03323 (2024) - [i35]Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger:
Overcoming Common Flaws in the Evaluation of Selective Classification Systems. CoRR abs/2407.01032 (2024) - [i34]Stefan Denner, Markus Bujotzek, Dimitrios Bounias, David Zimmerer, Raphael Stock, Paul F. Jäger, Klaus H. Maier-Hein:
Visual Prompt Engineering for Medical Vision Language Models in Radiology. CoRR abs/2408.15802 (2024) - [i33]Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jäger:
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics. CoRR abs/2409.16756 (2024) - [i32]Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady:
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities. CoRR abs/2410.01690 (2024) - [i31]Tassilo Wald, Constantin Ulrich, Stanislav Lukyanenko, Andrei Goncharov, Alberto Paderno, Leander Maerkisch, Paul F. Jäger, Klaus H. Maier-Hein:
Revisiting MAE pre-training for 3D medical image segmentation. CoRR abs/2410.23132 (2024) - 2023
- [j4]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c30]Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
Contrastive Representations for Unsupervised Anomaly Detection and Localization. Bildverarbeitung für die Medizin 2023: 246-252 - [c29]David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin 2023: 312 - [c28]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c27]Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert:
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification. ICLR 2023 - [c26]Silvia Dias Almeida
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations. MICCAI (5) 2023: 33-43 - [c25]Patrick Godau, Piotr Kalinowski, Evangelia Christodoulou, Annika Reinke, Minu Tizabi, Luciana Ferrer, Paul F. Jäger, Lena Maier-Hein:
Deployment of Image Analysis Algorithms Under Prevalence Shifts. MICCAI (3) 2023: 389-399 - [c24]Till J. Bungert, Levin Kobelke, Paul F. Jäger:
Understanding Silent Failures in Medical Image Classification. MICCAI (3) 2023: 400-410 - [c23]Saikat Roy, Gregor Köhler, Constantin Ulrich, Michael Baumgartner, Jens Petersen, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation. MICCAI (4) 2023: 405-415 - [c22]Balint Kovacs
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection. MICCAI (7) 2023: 531-540 - [c21]Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger:
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment. NeurIPS 2023 - [i30]Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein:
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. CoRR abs/2301.02126 (2023) - [i29]Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger:
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification. CoRR abs/2301.10625 (2023) - [i28]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i27]Saikat Roy
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation. CoRR abs/2303.09975 (2023) - [i26]Patrick Godau, Piotr Kalinowski, Evangelia Christodoulou, Annika Reinke, Minu Tizabi, Luciana Ferrer, Paul Jäger, Lena Maier-Hein:
Deployment of Image Analysis Algorithms under Prevalence Shifts. CoRR abs/2303.12540 (2023) - [i25]Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger:
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. CoRR abs/2306.09035 (2023) - [i24]Silvia Dias Almeida
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations. CoRR abs/2307.07254 (2023) - [i23]Till J. Bungert, Levin Kobelke, Paul F. Jaeger:
Understanding Silent Failures in Medical Image Classification. CoRR abs/2307.14729 (2023) - [i22]Balint Kovacs
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection. CoRR abs/2309.03652 (2023) - [i21]Gregor Köhler, Tassilo Wald, Constantin Ulrich, David Zimmerer, Paul F. Jaeger, Jörg K. H. Franke, Simon Kohl, Fabian Isensee, Klaus H. Maier-Hein:
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. CoRR abs/2309.07513 (2023) - [i20]Tim J. Adler, Jan-Hinrich Nölke
Application-driven Validation of Posteriors in Inverse Problems. CoRR abs/2309.09764 (2023) - [i19]Zdravko Marinov
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. CoRR abs/2311.13964 (2023) - 2022
- [j3]David Zimmerer
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - [c20]Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
Abstract: nnDetection - A Self-configuring Method for Medical Object Detection. Bildverarbeitung für die Medizin 2022: 50 - [c19]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. Bildverarbeitung für die Medizin 2022: 291-296 - [c18]Amine Yamlahi, Patrick Godau, Thuy Nuong Tran, Lucas-Raphael Muller, Tim Adler, Minu Tizabi, Michael Baumgartner, Paul Jäger, Lena Maier-Hein:
Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy. EndoCV@ISBI 2022: 25-28 - [c17]Lukas Klein, João B. S. Carvalho, Mennatallah El-Assady, Paolo Penna, Joachim M. Buhmann, Paul F. Jaeger:
Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings. MIDL 2022: 689-712 - [i18]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i17]Lukas Klein, Mennatallah El-Assady, Paul F. Jäger:
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process. CoRR abs/2207.04969 (2022) - [i16]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - [i15]Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert:
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification. CoRR abs/2211.15259 (2022) - 2021
- [j2]Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021) - [c16]Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Abstract: Studying Robustness of Semantic Segmentation under Domain Shift in Cardiac MRI. Bildverarbeitung für die Medizin 2021: 269 - [c15]Jens Petersen, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein:
Continuous-Time Deep Glioma Growth Models. MICCAI (3) 2021: 83-92 - [c14]Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. MICCAI (5) 2021: 530-539 - [c13]Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. UAI 2021: 939-949 - [i14]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i13]Michael Baumgartner, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. CoRR abs/2106.00817 (2021) - [i12]Jens Petersen, Gregor Köhler, David Zimmerer, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data. CoRR abs/2106.04967 (2021) - [i11]Jens Petersen, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein:
Continuous-Time Deep Glioma Growth Models. CoRR abs/2106.12917 (2021) - 2020
- [b1]Paul F. Jäger:
Challenges and Opportunities of End-to-End Learning in Medical Image Classification. Karlsruhe University, Germany, 2020 - [c12]Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein
Abstract: Deep Probabilistic Modeling of Glioma Growth. Bildverarbeitung für die Medizin 2020: 215 - [c11]Fabian Isensee, Paul F. Jäger, Peter M. Full, Philipp Vollmuth
nnU-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 118-132 - [c10]Peter M. Full
Studying Robustness of Semantic Segmentation Under Domain Shift in Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI 2020: 238-249 - [i10]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Philipp Vollmuth, Klaus H. Maier-Hein:
nnU-Net for Brain Tumor Segmentation. CoRR abs/2011.00848 (2020) - [i9]Peter M. Full, Fabian Isensee, Paul F. Jäger, Klaus H. Maier-Hein:
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI. CoRR abs/2011.07592 (2020)
2010 – 2019
- 2019
- [c9]Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. Bildverarbeitung für die Medizin 2019: 22 - [c8]Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein:
Reg R-CNN: Lesion Detection and Grading Under Noisy Labels. UNSURE/CLIP@MICCAI 2019: 33-41 - [c7]Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder
Deep Probabilistic Modeling of Glioma Growth. MICCAI (2) 2019: 806-814 - [c6]Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. ML4H@NeurIPS 2019: 171-183 - [i8]Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. Maier-Hein:
nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. CoRR abs/1904.08128 (2019) - [i7]Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein:
Deep Probabilistic Modeling of Glioma Growth. CoRR abs/1907.04064 (2019) - [i6]Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein:
Reg R-CNN: Lesion Detection and Grading under Noisy Labels. CoRR abs/1907.12915 (2019) - 2018
- [j1]Olivier Bernard
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [c5]Paul Jäger, Fabian Isensee, Jens Petersen, David Zimmerer, Jakob Wasserthal, Klaus Hermann Maier-Hein:
Advanced Deep Learning Methods. Bildverarbeitung für die Medizin 2018: 6 - [c4]Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun
Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. Bildverarbeitung für die Medizin 2018: 73 - [c3]Jennifer Kamphenkel, Paul F. Jäger, Sebastian Bickelhaupt, Frederik Bernd Laun
Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images. RAMBO+BIA+TIA@MICCAI 2018: 73-80 - [i5]Jennifer Kamphenkel, Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Koenig, Klaus H. Maier-Hein:
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images. CoRR abs/1807.06277 (2018) - [i4]Fabian Isensee, Jens Petersen, André Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Köhler, Tobias Norajitra, Sebastian J. Wirkert, Klaus H. Maier-Hein:
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. CoRR abs/1809.10486 (2018) - [i3]Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein:
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. CoRR abs/1811.08661 (2018) - 2017
- [c2]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. STACOM@MICCAI 2017: 120-129 - [c1]Paul F. Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun
Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. MICCAI (1) 2017: 664-671 - [i2]Paul Jaeger, Sebastian Bickelhaupt, Frederik Bernd Laun, Wolfgang Lederer, Daniel Heidi, Tristan Anselm Kuder, Daniel Paech, David Bonekamp, Alexander Radbruch, Stefan Delorme, Heinz-Peter Schlemmer, Franziska Steudle, Klaus H. Maier-Hein:
Revealing Hidden Potentials of q-Space Imaging in Breast Cancer. CoRR abs/1702.08379 (2017) - [i1]Fabian Isensee, Paul F. Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein:
Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. CoRR abs/1707.00587 (2017)
Coauthor Index
Simon Kohl
aka: Simon A. A. Kohl
aka: Simon A. A. Kohl
Klaus H. Maier-Hein
aka: Klaus Hermann Maier-Hein
aka: Klaus Hermann Maier-Hein
[c40] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i31] [j4] [c30] [c29] [c28] [c26] [c23] [c22] [i30] [i28] [i27] [i24] [i22] [i21] [j3] [c20] [c19] [i18] [i16] [j2] [c16] [c15] [c14] [c13] [i14] [i13] [i12] [i11] [c12] [c11] [c10] [i10] [i9] [c9] [c8] [c7] [c6] [i8] [i7] [i6] [j1] [c5] [c4] [c3] [i5] [i4] [i3] [c2] [c1] [i2] [i1]
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