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Lisa Margret Koch
Lisa Margret Koch
Verified email at uni-tuebingen.de - Homepage
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Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
13862018
SonoNet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound
CF Baumgartner, K Kamnitsas, J Matthew, TP Fletcher, S Smith, LM Koch, ...
IEEE transactions on medical imaging 36 (11), 2204-2215, 2017
3292017
An exploration of 2D and 3D deep learning techniques for cardiac MR image segmentation
CF Baumgartner, LM Koch, M Pollefeys, E Konukoglu
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018
2912018
Visual feature attribution using wasserstein gans
CF Baumgartner, LM Koch, KC Tezcan, JX Ang, E Konukoglu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1572018
Learning to segment medical images with scribble-supervision alone
YB Can, K Chaitanya, B Mustafa, LM Koch, E Konukoglu, ...
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
922018
Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching
R Wright, A Makropoulos, V Kyriakopoulou, PA Patkee, LM Koch, ...
NeuroImage 120, 467-480, 2015
592015
Multi-atlas segmentation using partially annotated data: methods and annotation strategies
LM Koch, M Rajchl, W Bai, CF Baumgartner, T Tong, ...
IEEE transactions on pattern analysis and machine intelligence 40 (7), 1683-1696, 2017
272017
Self-aligning manifolds for matching disparate medical image datasets
CF Baumgartner, A Gomez, LM Koch, JR Housden, C Kolbitsch, ...
Information Processing in Medical Imaging: 24th International Conference …, 2015
232015
Employing weak annotations for medical image analysis problems
M Rajchl, LM Koch, C Ledig, J Passerat-Palmbach, K Misawa, K Mori, ...
arXiv preprint arXiv:1708.06297, 2017
192017
Uncertainty quantification in CNN-based surface prediction using shape priors
K Tóthová, S Parisot, MCH Lee, E Puyol-Antón, LM Koch, AP King, ...
Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018
182018
Multi-atlas segmentation as a graph labelling problem: Application to partially annotated atlas data
LM Koch, M Rajchl, T Tong, J Passerat-Palmbach, P Aljabar, D Rueckert
Information Processing in Medical Imaging: 24th International Conference …, 2015
162015
Graph-based label propagation in fetal brain MR images
LM Koch, R Wright, D Vatansever, V Kyriakopoulou, C Malamateniou, ...
Machine Learning in Medical Imaging: 5th International Workshop, MLMI 2014 …, 2014
132014
Visual explanations for the detection of diabetic retinopathy from retinal fundus images
V Boreiko, I Ilanchezian, MS Ayhan, S Müller, LM Koch, H Faber, ...
International conference on medical image computing and computer-assisted …, 2022
102022
Hidden in plain sight: Subgroup shifts escape ood detection
LM Koch, CM Schürch, A Gretton, P Berens
Medical Imaging with Deep Learning, 2021
92021
Inherently interpretable multi-label classification using class-specific counterfactuals
S Sun, S Woerner, A Maier, LM Koch, CF Baumgartner
arXiv preprint arXiv:2303.00500, 2023
62023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
S Sun, LM Koch, CF Baumgartner
International Conference on Medical Image Computing and Computer-Assisted …, 2023
52023
A generative model reveals the influence of patient attributes on fundus images
S Müller, LM Koch, H Lensch, P Berens
Medical Imaging with Deep Learning, 2022
32022
Supplementary Material for: Visual Feature Attribution using Wasserstein GANs
CF Baumgartner, LM Koch, KC Tezcan, JX Ang
arXiv preprint arXiv:1711.08998, 2018
22018
Disentangling representations of retinal images with generative models
S Müller, LM Koch, H Lensch, P Berens
arXiv preprint arXiv:2402.19186, 2024
2024
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach
AM Wundram, P Fischer, S Wunderlich, H Faber, LM Koch, P Berens, ...
Medical Imaging with Deep Learning, 2024
2024
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