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  • 2023

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

    Specktor-Fadida, B., Yehuda, B., Link-Sourani, D., Ben-Sira, L., Ben-Bashat, D. & Joskowicz, L., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 355-368 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13803 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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

    Specktor-Fadida, B., Levchakov, A., Schonberger, D., Ben-Sira, L., Ben Bashat, D. & Joskowicz, L., 2023, Medical Image Learning with Limited and Noisy Data - 2nd International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Proceedings. Xue, Z., Antani, S., Zamzmi, G., Yang, F., Rajaraman, S., Liang, Z., Huang, S. X. & Linguraru, M. G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 213-223 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14307 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2022

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

    Fadida, B. S., Sourani, D. L., Sira, L. B., Miller, E., Bashat, D. B. & Joskowicz, L., 2022, Medical Image Learning with Limited and Noisy Data - 1st International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 13-22 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13559 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2021

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

    Specktor-Fadida, B., Link-Sourani, D., Ferster-Kveller, S., Ben-Sira, L., Miller, E., Ben-Bashat, D. & Joskowicz, L., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 189-199 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2012

    Hybrid classifiers for object classification with a rich background

    Osadchy, M., Keren, D. & Fadida-Specktor, B., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 5 ed. p. 284-297 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7576 LNCS, no. PART 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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