Lisa M. Koch

According to our database, Lisa M. Koch authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

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

Disentangling representations of retinal images with generative models.

Sarah Müller, Lisa M. Koch, Hendrik P. A. Lensch, Philipp Berens

CoRR, 2024

Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging.

Sarah Müller, Louisa Fay, Lisa M. Koch, Sergios Gatidis, Thomas Küstner, Philipp Berens

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Conformal Performance Range Prediction for Segmentation Output Quality Control.

Anna M. Wundram, Paul Fischer, Michael Mühlebach, Lisa M. Koch, Christian F. Baumgartner

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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, Lisa M. Koch, Philipp Berens

CoRR, 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

Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals.

Susu Sun, Stefano Woerner, Andreas K. Maier, Lisa M. Koch, Christian F. Baumgartner

Proceedings of the Medical Imaging with Deep Learning, 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

Proceedings of the Medical Imaging with Deep Learning, 2023

Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?

Susu Sun, Lisa M. Koch, Christian F. Baumgartner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection.

Lisa M. Koch, Christian M. Schürch, Arthur Gretton, Philipp Berens

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

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

IEEE Trans. Medical Imaging, 2018

Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.

Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert

IEEE Trans. Pattern Anal. Mach. Intell., 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

Proceedings of the Shape in Medical Imaging, 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

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Visual Feature Attribution Using Wasserstein GANs.

Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

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

An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation.

Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

2016

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

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

Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.

Lisa M. Koch, Martin Rajchl, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert

Proceedings of the Information Processing in Medical Imaging, 2015

Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.

Christian F. Baumgartner, Alberto Gómez, Lisa M. Koch, Richard James Housden, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andy P. King

Proceedings of the Information Processing in Medical Imaging, 2015

2014

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

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014