| 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 | 1807 | 2018 |
| 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 | 388 | 2017 |
| 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 | 318 | 2018 |
| 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 | 186 | 2018 |
| 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 | 113 | 2018 |
| 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 | 63 | 2015 |
| 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 | 30 | 2017 |
| 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 | 25 | 2015 |
| 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 | 21 | 2018 |
| 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 | 19 | 2017 |
| 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 | 16 | 2015 |
| 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 | 14 | 2023 |
| 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 | 13 | 2022 |
| 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 | 13 | 2014 |
| 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 | 12 | 2023 |
| Hidden in plain sight: Subgroup shifts escape OOD detection LM Koch, CM Schürch, A Gretton, P Berens Proceedings of Machine Learning Research 172, 726-740, 2022 | 11 | 2022 |
| Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study LM Koch, CF Baumgartner, P Berens NPJ Digital Medicine 7 (1), 120, 2024 | 6 | 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 | 3 | 2024 |
| Sparse Activations for Interpretable Disease Grading KRD Donteu, I Ilanchezian, L Kühlewein, H Faber, CF Baumgartner, ... Medical Imaging with Deep Learning, 2023 | 3* | 2023 |
| 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 | 3 | 2022 |
Christian F. BaumgartnerUniversity of Tübingen & University of LucerneVerified email at uni-tuebingen.de
