| Diagnosing failures of fairness transfer across distribution shift in real-world medical settings J Schrouff, N Harris, S Koyejo, IM Alabdulmohsin, E Schnider, ... Advances in Neural Information Processing Systems 35, 19304-19318, 2022 | 68 | 2022 |
| Maintaining fairness across distribution shift: do we have viable solutions for real-world applications J Schrouff, N Harris, O Koyejo, I Alabdulmohsin, E Schnider, ... arXiv preprint arXiv:2202.01034, 2022 | 45 | 2022 |
| 3d segmentation networks for excessive numbers of classes: Distinct bone segmentation in upper bodies E Schnider, A Horváth, G Rauter, A Zam, M Müller-Gerbl, PC Cattin Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 15 | 2020 |
| Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band images O Müller, E Schnider arXiv preprint arXiv:2102.12776, 2021 | 14 | 2021 |
| Improved distinct bone segmentation from upper-body CT using binary-prediction-enhanced multi-class inference. E Schnider, A Huck, M Toranelli, G Rauter, M Müller-Gerbl, PC Cattin International Journal of Computer Assisted Radiology and Surgery 17 (11 …, 2022 | 7 | 2022 |
| Improved distinct bone segmentation in upper-body CT through multi-resolution networks E Schnider, J Wolleb, A Huck, M Toranelli, G Rauter, M Müller-Gerbl, ... International Journal of Computer Assisted Radiology and Surgery 18 (11 …, 2023 | 4 | 2023 |
| Bone ablation depth estimation from Er: YAG laser-generated acoustic waves C Seppi, A Huck, A Hamidi, E Schnider, M Filipozzi, G Rauter, A Zam, ... IEEE Access 10, 126603-126611, 2022 | 4 | 2022 |
| Deep-learning approach for tissue classification using acoustic waves during ablation with an Er: YAG laser C Seppi, A Huck, HN Kenhagho, E Schnider, G Rauter, A Zam, PC Cattin IEEE Access 9, 130543-130553, 2021 | 4 | 2021 |
| Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body ct images E Schnider, A Huck, M Toranelli, G Rauter, A Zam, M Müller-Gerbl, ... arXiv preprint arXiv:2208.09216, 2022 | 2 | 2022 |
| Plots Unlock Time-Series Understanding in Multimodal Models M Daswani, MMJ Bellaiche, M Wilson, D Ivanov, M Papkov, E Schnider, ... arXiv preprint arXiv:2410.02637, 2024 | 1 | 2024 |
| Corrections to “Deep-Learning Approach for Tissue Classification Using Acoustic Waves During Ablation With an Er: YAG Laser” C Seppi, A Huck, HN Kenhagho, E Schnider, G Rauter, A Zam, PC Cattin IEEE Access 12, 69299-69300, 2024 | 1 | 2024 |
| MINT: A wrapper to make multi-modal and multi-image AI models interactive J Freyberg, AG Roy, T Spitz, B Freeman, M Schaekermann, P Strachan, ... arXiv preprint arXiv:2401.12032, 2024 | 1 | 2024 |
| Automated Distinct Bone Segmentation from Computed Tomography Images using Deep Learning E Schnider University_of_Basel, 2023 | | 2023 |
| Diagnosing failures of fairness transfer across distribution shift in real-world medical settings: Supplement J Schrouff, N Harris, O Koyejo, I Alabdulmohsin, E Schnider, ... | | |
Philippe CattinProfessor of Medical Image Analysis, University of BaselVerified email at unibas.ch