Bella Specktor-Fadida

According to our database, Bella Specktor-Fadida authored at least 10 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images.

Bella Specktor-Fadida, Liat Ben-Sira, Dafna Ben-Bashat, Leo Joskowicz

Medical Image Anal., 2025

SingleStrip: Learning Skull-Stripping from a Single Labeled Example.

Bella Specktor-Fadida, Malte Hoffmann

Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025

2023

Fetal brain tissue annotation and segmentation challenge results.

Kelly Payette, Hongwei Bran 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, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

Medical Image Anal., August, 2023

Test-Time Augmentation-Based Active Learning and Self-training for Label-Efficient Segmentation.

Bella Specktor-Fadida, Anna Levchakov, Dana Schonberger, Liat Ben-Sira, Dafna Ben-Bashat, Leo Joskowicz

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.

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, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

CoRR, 2022

Partial Annotations for the Segmentation of Large Structures with Low Annotation Cost.

Bella Specktor-Fadida, Daphna Link-Sourani, Liat Ben-Sira, Elka Miller, Dafna Ben-Bashat, Leo Joskowicz

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Contour Dice Loss for Structures with Fuzzy and Complex Boundaries in Fetal MRI.

Bella Specktor-Fadida, Bossmat Yehuda, Daphna Link-Sourani, Liat Ben-Sira, Dafna Ben-Bashat, Leo Joskowicz

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI.

Bella Specktor-Fadida, Daphna Link-Sourani, Shai Ferster-Kveller, Liat Ben-Sira, Elka Miller, Dafna Ben-Bashat, Leo Joskowicz

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2018

Preprocessing Prediction of Advanced Algorithms for Medical Imaging.

Bella Fadida-Specktor

J. Digit. Imaging, 2018

2012

Hybrid Classifiers for Object Classification with a Rich Background.

Margarita Osadchy, Daniel Keren, Bella Fadida-Specktor

Proceedings of the Computer Vision - ECCV 2012, 2012