Bella Specktor Fadida

Bella Specktor Fadida

Assistant professor at the Medical Imaging Sciences department, University of Haifa

Selected publications

For a full publications list, see my Google Scholar account: Bella Specktor Fadida Google Scholar

Refereed journal papers

  • Specktor-Fadida B, Ben-Sira L, Ben-Bashat D, Joskowicz L. SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images. Medical Image Analysis. 2025 May 8:103638.

  • Yehuda B, Rabinowich A, Link-Sourani D, Avisdris N, Ben-Zvi O, Specktor-Fadida B, Joskowicz L, Ben-Sira L, Miller E, Bashat DB. Automatic Quantification of Normal Brain Gyrification Patterns and Changes in Fetuses with Polymicrogyria and Lissencephaly Based on MRI. American Journal of Neuroradiology. 2023 Dec 1;44(12):1432-9.

  • Rabinowich A, Avisdris N, Yehuda B, Zilberman A, Graziani T, Neeman B, Specktor‐Fadida B, Link‐Sourani D, Wexler Y, Herzlich J, Krajden Haratz K, Joskowicz L, Ben Sira L, Hierch L and Ben Bashat D. Fetal MRI‐Based Body and Adiposity Quantification for Small for Gestational Age Perinatal Risk Stratification. Journal of Magnetic Resonance Imaging. 2023 Nov 19.

  • Specktor-Fadida B., Link-Sourani D., Rabinovich A., Miller E., Levchakov A., Avisdris N., Ben Sira L., Hierch L., Joskowicz L and Ben Bashat D. Deep Learning-based Segmentation of Whole-Body Fetal MRI and Fetal Weight Estimation: Assessing Performance, Repeatability and Reproducibility. European Radiology. 2023 Sep 2:1-2.

  • Rabinowich A, Avisdris N, Zilberman A, Link-Sourani D, Lazar S, Herzlich J, Specktor-Fadida B, Joskowicz L, Malinger G, Ben-Sira L, Hiersch L, Ben-Bashat D. Reduced adipose tissue in growth-restricted fetuses using quantitative analysis of magnetic resonance images. European Radiology. 2023 Jun 30:1-9.

  • Fadida-Specktor B. Preprocessing Prediction of Advanced Algorithms for Medical Imaging. Journal of Digital Imaging. 2018 Feb;31(1):42-50.

Refereed conference papers

  • Specktor-Fadida B, Levchakov A, Schonberger D, Ben-Sira L, Ben Bashat D, Joskowicz L. Test-time augmentation-based active learning and self-training for label-efficient segmentation. In: Proceedings of MICCAI Conference, Medical Image Learning with Limited and Noisy Data Workshop 2023 Oct 8.

  • Specktor Fadida B., Yehuda B., Link Sourani D., Ben Sira L., Ben Bashat D., Joskowicz L. Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI. In: Computer Vision–ECCV 2022 Workshops: October 23–27, 2022, Proceedings, Part III 2023 Feb 18 (pp. 355-368).

  • Specktor Fadida B., Link Sourani D., Ben Sira L., Miller E., Ben Bashat D., Joskowicz L. Partial annotations for the segmentation of large structures with low annotation cost. In: Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, September 22, 2022, Proceedings 2022 Sep 15 (pp. 13-22).

  • Specktor-Fadida B, Link-Sourani D, Ferster-Kveller S, Ben-Sira L, Miller E, Ben-Bashat D, Joskowicz L. A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI. InUncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis 2021 Oct 1 (pp. 189-199). Springer, Cham.

  • Osadchy M, Keren D, Fadida-Specktor B. Hybrid classifiers for object classification with a rich background. In: European Conference on Computer Vision 2012 Oct 7 (pp. 284-297). Springer, Berlin, Heidelberg.