| Practical uncertainty quantification for brain tumor segmentation M Fuchs, C Gonzalez, A Mukhopadhyay Medical Imaging with Deep Learning, 2021 | 3 | 2021 |
| Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation C González, K Gotkowski, M Fuchs, A Bucher, A Dadras, R Fischbach, ... Medical Image Analysis 82, 102596, 2022 | 2 | 2022 |
| Preoperative planning for guidewires employing shape-regularized segmentation and optimized trajectories J Fauser, M Fuchs, A Ghazy, B Dorweiler, A Mukhopadhyay OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019 | 2 | 2019 |
| Federated Stain Normalization for Computational Pathology N Wagner, M Fuchs, Y Tolkach, A Mukhopadhyay Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | 1 | 2022 |
| FrOoDo: Framework for Out-of-Distribution Detection J Stieber, M Fuchs, A Mukhopadhyay arXiv e-prints, 2022 | | 2022 |
Anirban MukhopadhyayTU DarmstadtVerified email at gris.tu-darmstadt.de
