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Bella Specktor-Fadida
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- affiliation: Hebrew University of Jerusalem, Israel
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2020 – today
- 2023
- [j2]Kelly Payette
, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88: 102833 (2023) - [c5]Bella Specktor-Fadida
Test-Time Augmentation-Based Active Learning and Self-training for Label-Efficient Segmentation. MILLanD@MICCAI 2023: 213-223 - [i4]Bella Specktor-Fadida
Test-time augmentation-based active learning and self-training for label-efficient segmentation. CoRR abs/2308.10727 (2023) - 2022
- [c4]Bella Specktor-Fadida
Contour Dice Loss for Structures with Fuzzy and Complex Boundaries in Fetal MRI. ECCV Workshops (3) 2022: 355-368 - [c3]Bella Specktor-Fadida
Partial Annotations for the Segmentation of Large Structures with Low Annotation Cost. MILLanD@MICCAI 2022: 13-22 - [i3]Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - [i2]Bella Specktor-Fadida
Partial annotations for the segmentation of large structures with low annotation cost. CoRR abs/2209.12216 (2022) - [i1]Bella Specktor-Fadida, Bossmat Yehuda
Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI. CoRR abs/2209.12232 (2022) - 2021
- [c2]Bella Specktor-Fadida
A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI. UNSURE/PIPPI@MICCAI 2021: 189-199
2010 – 2019
- 2018
- [j1]Bella Fadida-Specktor
Preprocessing Prediction of Advanced Algorithms for Medical Imaging. J. Digit. Imaging 31(1): 42-50 (2018) - 2012
- [c1]Margarita Osadchy, Daniel Keren, Bella Fadida-Specktor
Hybrid Classifiers for Object Classification with a Rich Background. ECCV (5) 2012: 284-297
Coauthor Index
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