| Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering CC Liu, NF Greenwald, A Kong, EF McCaffrey, KX Leow, D Mrdjen, ... Nature Communications 14 (1), 4618, 2023 | 22 | 2023 |
| Probabilistic deep learning for instance segmentation JL Rumberger, L Mais, D Kainmueller European Conference on Computer Vision, 445-457, 2020 | 11 | 2020 |
| CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ... Medical image analysis 92, 103047, 2024 | 10 | 2024 |
| Panoptic segmentation with highly imbalanced semantic labels JL Rumberger, E Baumann, P Hirsch, A Janowczyk, I Zlobec, ... 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1-4, 2022 | 4 | 2022 |
| State of the art in fair ML: from moral philosophy and legislation to fair classifiers E Baumann, JL Rumberger arXiv preprint arXiv:1811.09539, 2018 | 4 | 2018 |
| ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation JL Rumberger, J Franzen, P Hirsch, JP Albrecht, D Kainmueller Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| How shift equivariance impacts metric learning for instance segmentation JL Rumberger, X Yu, P Hirsch, M Dohmen, VE Guarino, A Mokarian, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 2 | 2021 |
| FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures L Mais, P Hirsch, C Managan, R Kandarpa, JL Rumberger, A Reinke, ... arXiv preprint arXiv:2404.00130, 2024 | | 2024 |
| HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology E Baumann, B Dislich, JL Rumberger, ID Nagtegaal, MR Martinez, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| Supplementary Material How Shift Equivariance Impacts Metric Learning for Instance Segmentation JL Rumberger, X Yu, P Hirsch, M Dohmen, VE Guarino, A Mokarian, ... | | |
