Lisa M. Koch - RankMe

50 papers A* 1Journal 27Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Critical Perspective on Finite Sample Conformal Prediction Theory in Medical Applications. CoRR Klaus-Rudolf Kladny, Bernhard Schölkopf, Lisa M. Koch, Christian F. Baumgartner, Michael Muehlebach
2025	—	`conf`	A Real-Time Digital Twin for Type 1 Diabetes Using Simulation-Based Inference. DT4H@MICCAI Trung-Dung Hoang, Alceu Bissoto, Vihangkumar V. Naik, Tim Flühmann, Artemii Shlychkov, Jose F. Garcia-Tirado, Lisa M. Koch
2025	J	`jnl`	A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference. CoRR Trung-Dung Hoang, Alceu Bissoto, Vihangkumar V. Naik, Tim Flühmann, Artemii Shlychkov, Jose F. Garcia-Tirado, Lisa M. Koch
2025	J	`jnl`	Disentangling representations of retinal images with generative models. Medical Image Anal. Sarah Müller, Lisa M. Koch, Hendrik P. A. Lensch, Philipp Berens
2025	—	`conf`	Label-Free Estimation of Clinically Relevant Performance Metrics Under Distribution Shifts. UNSURE@MICCAI Tim Flühmann, Alceu Bissoto, Trung-Dung Hoang, Lisa M. Koch
2025	J	`jnl`	Label-free estimation of clinically relevant performance metrics under distribution shifts. CoRR Tim Flühmann, Alceu Bissoto, Trung-Dung Hoang, Lisa M. Koch
2025	—	`conf`	Subgroup Performance Analysis in Hidden Stratifications. MICCAI (14) Alceu Bissoto, Trung-Dung Hoang, Tim Flühmann, Susu Sun, Christian F. Baumgartner, Lisa M. Koch
2025	J	`jnl`	Subgroup Performance Analysis in Hidden Stratifications. CoRR Alceu Bissoto, Trung-Dung Hoang, Tim Flühmann, Susu Sun, Christian F. Baumgartner, Lisa M. Koch
2024	J	`jnl`	Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals. CoRR Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner
2024	—	`conf`	Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging. MLMI@MICCAI (2) Sarah Müller, Louisa Fay, Lisa M. Koch, Sergios Gatidis, Thomas Küstner, Philipp Berens
2024	J	`jnl`	Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging. CoRR Sarah Müller, Louisa Fay, Lisa M. Koch, Sergios Gatidis, Thomas Küstner, Philipp Berens
2024	J	`jnl`	Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization. CoRR Jeremiah Fadugba, Patrick Köhler, Lisa M. Koch, Petru Manescu, Philipp Berens
2024	—	`conf`	Conformal Performance Range Prediction for Segmentation Output Quality Control. UNSURE@MICCAI Anna M. Wundram, Paul Fischer, Michael Mühlebach, Lisa M. Koch, Christian F. Baumgartner
2024	J	`jnl`	Conformal Performance Range Prediction for Segmentation Output Quality Control. CoRR Anna M. Wundram, Paul Fischer, Michael Muehlebach, Lisa M. Koch, Christian F. Baumgartner
2024	J	`jnl`	Disentangling representations of retinal images with generative models. CoRR Sarah Müller, Lisa M. Koch, Hendrik P. A. Lensch, Philipp Berens
2024	J	`jnl`	Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study. npj Digit. Medicine Lisa M. Koch, Christian F. Baumgartner, Philipp Berens
2024	—	`ed.`	Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings DART@MICCAI Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang
2024	—	`conf`	Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images. MIDL Patrick Köhler, Jeremiah Fadugba, Philipp Berens, Lisa M. Koch
2024	—	`conf`	Interpretable-by-Design Deep Survival Analysis for Disease Progression Modeling. MICCAI (10) Julius Gervelmeyer, Sarah Müller, Kerol Djoumessi, David Merle, Simon J. Clark, Lisa M. Koch, Philipp Berens
2024	—	`conf`	Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach. MIDL Anna M. Wundram, Paul Fischer, Stephan Wunderlich, Hanna Faber, Lisa M. Koch, Philipp Berens, Christian F. Baumgartner
2024	—	`conf`	This Actually Looks Like that: Proto-BagNets for Local and Global Interpretability-by-Design. MICCAI (10) Kerol Djoumessi, Bubacarr Bah, Laura Kühlewein, Philipp Berens, Lisa M. Koch
2024	J	`jnl`	This actually looks like that: Proto-BagNets for local and global interpretability-by-design. CoRR Kerol Djoumessi, Bubacarr Bah, Laura Kühlewein, Philipp Berens, Lisa M. Koch
2023	J	`jnl`	Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images. CoRR Lisa M. Koch, Christian M. Schürch, Christian F. Baumgartner, Arthur Gretton, Philipp Berens
2023	J	`jnl`	Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models. CoRR Indu Ilanchezian, Valentyn Boreiko, Laura Kühlewein, Ziwei Huang, Murat Seçkin Ayhan, Matthias Hein, Lisa M. Koch, Philipp Berens
2023	—	`conf`	Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. MIDL Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner
2023	J	`jnl`	Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. CoRR Susu Sun, Stefano Woerner, Andreas Maier, Lisa M. Koch, Christian F. Baumgartner
2023	—	`conf`	Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? MICCAI (2) Susu Sun, Lisa M. Koch, Christian F. Baumgartner
2023	J	`jnl`	Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? CoRR Susu Sun, Lisa M. Koch, Christian F. Baumgartner
2023	—	`conf`	Sparse Activations for Interpretable Disease Grading. MIDL Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner, Bubacarr Bah, Philipp Berens, Lisa M. Koch
2022	—	`ed.`	Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings DART@MICCAI Konstantinos Kamnitsas, Lisa M. Koch, Mobarakol Islam, Ziyue Xu, Manuel Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios A. Tsaftaris
2022	—	`conf`	Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection. MIDL Lisa M. Koch, Christian M. Schürch, Arthur Gretton, Philipp Berens
2022	—	`conf`	Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images. MICCAI (2) Valentyn Boreiko, Indu Ilanchezian, Murat Seçkin Ayhan, Sarah Müller, Lisa M. Koch, Hanna Faber, Philipp Berens, Matthias Hein
2018	J	`jnl`	Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
2018	—	`conf`	Learning to Segment Medical Images with Scribble-Supervision Alone. DLMIA/ML-CDS@MICCAI Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
2018	J	`jnl`	Learning to Segment Medical Images with Scribble-Supervision Alone. CoRR Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
2018	J	`jnl`	Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies. IEEE Trans. Pattern Anal. Mach. Intell. Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2018	—	`conf`	Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. ShapeMI@MICCAI Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys
2018	J	`jnl`	Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. CoRR Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys
2018	A*	`conf`	Visual Feature Attribution Using Wasserstein GANs. CVPR Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu
2017	—	`conf`	An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. STACOM@MICCAI Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu
2017	J	`jnl`	An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. CoRR Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu
2017	J	`jnl`	Employing Weak Annotations for Medical Image Analysis Problems. CoRR Martin Rajchl, Lisa M. Koch, Christian Ledig, Jonathan Passerat-Palmbach, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
2017	J	`jnl`	SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. IEEE Trans. Medical Imaging Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
2017	J	`jnl`	Visual Feature Attribution using Wasserstein GANs. CoRR Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu
2016	J	`jnl`	Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies. CoRR Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2016	J	`jnl`	Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. CoRR Christian F. Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P. Fletcher, Sandra Smith, Lisa M. Koch, Bernhard Kainz, Daniel Rueckert
2015	J	`jnl`	Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching. NeuroImage Robert Wright, Antonios Makropoulos, Vanessa Kyriakopoulou, Prachi A. Patkee, Lisa M. Koch, Mary A. Rutherford, Joseph V. Hajnal, Daniel Rueckert, Paul Aljabar
2015	—	`conf`	Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data. IPMI Lisa M. Koch, Martin Rajchl, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2015	—	`conf`	Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. IPMI Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King
2014	—	`conf`	Graph-Based Label Propagation in Fetal Brain MR Images. MLMI Lisa M. Koch, Robert Wright, Deniz Vatansever, Vanessa Kyriakopoulou, Christina Malamateniou, Prachi A. Patkee, Mary A. Rutherford, Joseph V. Hajnal, Paul Aljabar, Daniel Rueckert