| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 147 | 2021 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, B Menze arXiv. org, 2022 | 130* | 2022 |
| Accounting for variance in machine learning benchmarks X Bouthillier, P Delaunay, M Bronzi, A Trofimov, B Nichyporuk, J Szeto, ... Proceedings of Machine Learning and Systems 3, 747-769, 2021 | 130 | 2021 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods, 1-13, 2024 | 23 | 2024 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
| Had-net: A hierarchical adversarial knowledge distillation network for improved enhanced tumour segmentation without post-contrast images S Vadacchino, R Mehta, NM Sepahvand, B Nichyporuk, JJ Clark, T Arbel Medical Imaging with Deep Learning, 787-801, 2021 | 18 | 2021 |
| Metrics reloaded-a new recommendation framework for biomedical image analysis validation A Reinke, L Maier-Hein, E Christodoulou, B Glocker, P Scholz, F Isensee, ... Medical imaging with deep learning, 2022 | 12 | 2022 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation. 2022 L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Büttner, E Christodoulou, ... arXiv preprint arXiv:2206.01653, 2023 | 9 | 2023 |
| Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning JPR Falet, J Durso-Finley, B Nichyporuk, J Schroeter, F Bovis, ... Nature communications 13 (1), 5645, 2022 | 9 | 2022 |
| Counterfactual image synthesis for discovery of personalized predictive image markers A Kumar, A Hu, B Nichyporuk, JPR Falet, DL Arnold, S Tsaftaris, T Arbel MICCAI Workshop on Medical Image Assisted Blomarkers' Discovery, 113-124, 2022 | 7 | 2022 |
| Information gain sampling for active learning in medical image classification R Mehta, C Shui, B Nichyporuk, T Arbel International Workshop on Uncertainty for Safe Utilization of Machine …, 2022 | 7 | 2022 |
| Personalized prediction of future lesion activity and treatment effect in multiple sclerosis from baseline MRI J Durso-Finley, JP Falet, B Nichyporuk, A Douglas, T Arbel International Conference on Medical Imaging with Deep Learning, 387-406, 2022 | 6 | 2022 |
| Rethinking generalization: the impact of annotation style on medical image segmentation B Nichyporuk, J Cardinell, J Szeto, R Mehta, JPR Falet, DL Arnold, ... arXiv preprint arXiv:2210.17398, 2022 | 6 | 2022 |
| Optimizing operating points for high performance lesion detection and segmentation using lesion size reweighting B Nichyporuk, J Szeto, DL Arnold, T Arbel arXiv preprint arXiv:2107.12978, 2021 | 6 | 2021 |
| Cohort bias adaptation in aggregated datasets for lesion segmentation B Nichyporuk, J Cardinell, J Szeto, R Mehta, S Tsaftaris, DL Arnold, ... Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021 | 4 | 2021 |
| Debiasing counterfactuals in the presence of spurious correlations A Kumar, N Fathi, R Mehta, B Nichyporuk, JPR Falet, S Tsaftaris, T Arbel Workshop on Clinical Image-Based Procedures, 276-286, 2023 | 2 | 2023 |
| Engineering deep learning systems for robust and accurate focal pathology segmentation and detection B Nichyporuk McGill University (Canada), 2021 | 2 | 2021 |
| Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors A Hu, JPR Falet, BS Nichyporuk, C Shui, DL Arnold, SA Tsaftaris, T Arbel arXiv preprint arXiv:2211.07820, 2022 | 1 | 2022 |
| Consensus learning with multi-rater labels for segmenting and detecting new lesions B Nichyporuk, K Vasilevski, A Hu, C Myers-Colet, J Cardinell, J Szeto, ... MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation …, 2021 | 1 | 2021 |
| HyperFusion: A Hypernetwork Approach to Multimodal Integration of Tabular and Medical Imaging Data for Predictive Modeling D Duenias, B Nichyporuk, T Arbel, TR Raviv arXiv preprint arXiv:2403.13319, 2024 | | 2024 |
