Graph-Based Label Propagation in Fetal Brain MR Images. - Lisa M. Koch; Robert Wright; Deniz Vatansever; Vanessa Kyriakopoulou; Christina Malamateniou; Prachi A. Patkee; Mary A. Rutherford; Joseph V. Hajnal; Paul Aljabar; Daniel Rueckert (MLMI, 2014)

Self-Aligning Manifolds for Matching Disparate Medical Image Datasets. - Christian F. Baumgartner; Alberto Gómez 002; Lisa M. Koch; Richard James Housden; Christoph Kolbitsch; Jamie R. McClelland; Daniel Rueckert; Andy P. King (IPMI, 2015)

Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data. - Lisa M. Koch; Martin Rajchl; Tong Tong 001; Jonathan Passerat-Palmbach; Paul Aljabar; Daniel Rueckert (IPMI, 2015)

Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching. - Robert Wright; Antonios Makropoulos; Vanessa Kyriakopoulou; Prachi A. Patkee; Lisa M. Koch; Mary A. Rutherford; Joseph V. Hajnal; Daniel Rueckert; Paul Aljabar (NeuroImage, 2015)

Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound. - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Tara P. Fletcher; Sandra Smith; Lisa M. Koch; Bernhard Kainz; Daniel Rueckert (CoRR, 2016)

An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. - Christian F. Baumgartner; Lisa M. Koch; Marc Pollefeys; Ender Konukoglu (STACOM@MICCAI, 2017)

Employing Weak Annotations for Medical Image Analysis Problems. - Martin Rajchl; Lisa M. Koch; Christian Ledig; Jonathan Passerat-Palmbach; Kazunari Misawa; Kensaku Mori; Daniel Rueckert (CoRR, 2017)

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound. - Christian F. Baumgartner; Konstantinos Kamnitsas; Jacqueline Matthew; Tara P. Fletcher; Sandra Smith; Lisa M. Koch; Bernhard Kainz; Daniel Rueckert (IEEE Trans. Medical Imaging, 2017)

Visual Feature Attribution Using Wasserstein GANs. - Christian F. Baumgartner; Lisa M. Koch; Kerem Can Tezcan; Jia Xi Ang; Ender Konukoglu (CVPR, 2018)

Learning to Segment Medical Images with Scribble-Supervision Alone. - Yigit Baran Can; Krishna Chaitanya; Basil Mustafa; Lisa M. Koch; Ender Konukoglu; Christian F. Baumgartner (DLMIA/ML-CDS@MICCAI, 2018)

Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Lisa M. Koch; Andrew P. King; Ender Konukoglu; Marc Pollefeys (ShapeMI@MICCAI, 2018)

Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies. - Lisa M. Koch; Martin Rajchl; Wenjia Bai; Christian F. Baumgartner; Tong Tong 001; Jonathan Passerat-Palmbach; Paul Aljabar; Daniel Rueckert (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images. - Valentyn Boreiko; Indu Ilanchezian; Murat Seçkin Ayhan; Sarah Müller; Lisa M. Koch; Hanna Faber; Philipp Berens; Matthias Hein 001 (MICCAI (2), 2022)

Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection. - Lisa M. Koch; Christian M. Schürch; Arthur Gretton; Philipp Berens (MIDL, 2022)

Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? - Susu Sun; Lisa M. Koch; Christian F. Baumgartner (MICCAI (2), 2023)

Sparse Activations for Interpretable Disease Grading. - Kerol R. Djoumessi Donteu; Indu Ilanchezian; Laura Kühlewein; Hanna Faber; Christian F. Baumgartner; Bubacarr Bah; Philipp Berens; Lisa M. Koch (MIDL, 2023)

Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals. - Susu Sun; Stefano Woerner; Andreas K. Maier; Lisa M. Koch; Christian F. Baumgartner (MIDL, 2023)

Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images. - Lisa M. Koch; Christian M. Schürch; Christian F. Baumgartner; Arthur Gretton; Philipp Berens (CoRR, 2023)

Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models. - Indu Ilanchezian; Valentyn Boreiko; Laura Kühlewein; Ziwei Huang; Murat Seçkin Ayhan; Matthias Hein 001; Lisa M. Koch; Philipp Berens (CoRR, 2023)

This Actually Looks Like that: Proto-BagNets for Local and Global Interpretability-by-Design. - Kerol Djoumessi; Bubacarr Bah; Laura Kühlewein; Philipp Berens; Lisa M. Koch (MICCAI (10), 2024)

Interpretable-by-Design Deep Survival Analysis for Disease Progression Modeling. - Julius Gervelmeyer; Sarah Müller; Kerol Djoumessi; David Merle; Simon J. Clark; Lisa M. Koch; Philipp Berens (MICCAI (10), 2024)

Conformal Performance Range Prediction for Segmentation Output Quality Control. - Anna M. Wundram; Paul Fischer; Michael Mühlebach; Lisa M. Koch; Christian F. Baumgartner (UNSURE@MICCAI, 2024)

Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images. - Patrick Köhler; Jeremiah Fadugba; Philipp Berens; Lisa M. Koch (MIDL, 2024)

Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach. - Anna M. Wundram; Paul Fischer; Stephan Wunderlich; Hanna Faber; Lisa M. Koch; Philipp Berens; Christian F. Baumgartner (MIDL, 2024)

Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging. - Sarah Müller; Louisa Fay; Lisa M. Koch; Sergios Gatidis; Thomas Küstner; Philipp Berens (MLMI@MICCAI (2), 2024)

Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals. - Susu Sun; Stefano Woerner; Andreas K. Maier; Lisa M. Koch; Christian F. Baumgartner (CoRR, 2024)

Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization. - Jeremiah Fadugba; Patrick Köhler; Lisa M. Koch; Petru Manescu; Philipp Berens (CoRR, 2024)

Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study. - Lisa M. Koch; Christian F. Baumgartner; Philipp Berens (npj Digit. Medicine, 2024)

Disentangling representations of retinal images with generative models. - Sarah Müller; Lisa M. Koch; Hendrik P. A. Lensch; Philipp Berens (Medical Image Anal., 2025)

Subgroup Performance Analysis in Hidden Stratifications. - Alceu Bissoto; Trung-Dung Hoang; Tim Flühmann; Susu Sun; Christian F. Baumgartner; Lisa M. Koch (CoRR, 2025)

A Real-Time Digital Twin for Type 1 Diabetes using Simulation-Based Inference. - Trung-Dung Hoang; Alceu Bissoto; Vihangkumar V. Naik; Tim Flühmann; Artemii Shlychkov; Jose Garcia-Tirado; Lisa M. Koch (CoRR, 2025)

Label-free estimation of clinically relevant performance metrics under distribution shifts. - Tim Flühmann; Alceu Bissoto; Trung-Dung Hoang; Lisa M. Koch (CoRR, 2025)