| 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 | 37 | 2022 |
| Fetal brain tissue annotation and segmentation challenge results K Payette, HB Li, P de Dumast, R Licandro, H Ji, MMR Siddiquee, D Xu, ... Medical image analysis 88, 102833, 2023 | 34 | 2023 |
| Hybrid classifiers for object classification with a rich background M Osadchy, D Keren, B Fadida-Specktor Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 15 | 2012 |
| Deep learning–based segmentation of whole-body fetal MRI and fetal weight estimation: assessing performance, repeatability, and reproducibility B Specktor-Fadida, D Link-Sourani, A Rabinowich, E Miller, A Levchakov, ... European Radiology 34 (3), 2072-2083, 2024 | 10 | 2024 |
| A bootstrap self-training method for sequence transfer: state-of-the-art placenta segmentation in fetal MRI B Specktor-Fadida, D Link-Sourani, S Ferster-Kveller, L Ben-Sira, E Miller, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 10 | 2021 |
| Preprocessing prediction of advanced algorithms for medical imaging B Fadida-Specktor Journal of Digital Imaging 31 (1), 42-50, 2018 | 9 | 2018 |
| Fetal MRI‐based body and adiposity quantification for small for gestational age perinatal risk stratification A Rabinowich, N Avisdris, B Yehuda, A Zilberman, T Graziani, B Neeman, ... Journal of Magnetic Resonance Imaging 60 (2), 767-774, 2024 | 6 | 2024 |
| Medical Image Computing and Computer Assisted Intervention–MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part V H Greenspan, A Madabhushi, P Mousavi, S Salcudean, J Duncan, ... Springer Nature, 2023 | 5 | 2023 |
| Partial Annotations for the Segmentation of Large Structures with Low Annotation Cost B Specktor-Fadida, DL Sourani, LB Sira, E Miller, DB Bashat, L Joskowicz Workshop on Medical Image Learning with Limited and Noisy Data, 13-22, 2022 | 5 | 2022 |
| Reduced adipose tissue in growth-restricted fetuses using quantitative analysis of magnetic resonance images A Rabinowich, N Avisdris, A Zilberman, D Link-Sourani, S Lazar, ... European Radiology 33 (12), 9194-9202, 2023 | 4 | 2023 |
| Automatic quantification of normal brain Gyrification patterns and changes in fetuses with polymicrogyria and lissencephaly based on MRI B Yehuda, A Rabinowich, D Link-Sourani, N Avisdris, O Ben-Zvi, ... American Journal of Neuroradiology 44 (12), 1432-1439, 2023 | 3 | 2023 |
| Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021 … CH Sudre, R Licandro, C Baumgartner, A Melbourne, A Dalca, J Hutter, ... Springer Nature, 2021 | 3 | 2021 |
| Test-time augmentation-based active learning and self-training for label-efficient segmentation B Specktor-Fadida, A Levchakov, D Schonberger, L Ben-Sira, ... Workshop on Medical Image Learning with Limited and Noisy Data, 213-223, 2023 | 2 | 2023 |
| Contour dice loss for structures with fuzzy and complex boundaries in fetal mri B Specktor-Fadida, B Yehuda, D Link-Sourani, L Ben-Sira, D Ben-Bashat, ... European Conference on Computer Vision, 355-368, 2022 | 2 | 2022 |
| Automatic segmentation and normal dataset of fetal body from magnetic resonance imaging B Fadida-Specktor, DB Basha, DL Sourani, N Avisdris, E Miller, LB Sira, ... ISMRM 2021, 3887, 2021 | 2 | 2021 |
| Fetal body composition reference charts and sexual dimorphism using magnetic resonance imaging A Rabinowich, N Avisdris, B Yehuda, S Vanetik, J Khawaja, T Graziani, ... The American Journal of Clinical Nutrition 120 (6), 1364-1372, 2024 | 1 | 2024 |
| Medical Image Learning with Limited and Noisy Data G Zamzmi, U Bagci, Ghada/Antani Zamzmi (Samee) | 1 | 2022 |
| SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images B Specktor-Fadida, L Ben-Sira, D Ben-Bashat, L Joskowicz arXiv preprint arXiv:2411.07601, 2024 | | 2024 |
| Medical Image Learning with Limited and Noisy Data: Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 … Z Xue, S Antani, G Zamzmi, F Yang, S Rajaraman, SX Huang, ... Springer Nature, 2023 | | 2023 |
| Reduced adiposity in growth-restricted fetuses using quantitative two-point Dixon analysis DBB Aviad Rabinowich, Netanell Avisdris, Ayala Zilberman, Sapir Lazar ... ISMRM 2023; 2335, 2023 | | 2023 |
Leo JoskowiczProfessor of Computer Science, The Hebrew University of Jerusalem, Israel.Verifisert e-postadresse på cs.huji.ac.il
