Liat Ben-Sira

Professor

1992 …2024

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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

    Open Access
  • 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

    Open Access
  • 2022

    Automatic Fetal Fat Quantification from MRI

    Avisdris, N., Rabinowich, A., Fridkin, D., Zilberman, A., Lazar, S., Herzlich, J., Hananis, Z., Link-Sourani, D., Ben-Sira, L., Hiersch, L., Ben Bashat, D. & Joskowicz, L., 2022, Perinatal, Preterm and Paediatric Image Analysis - 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Licandro, R., Licandro, R., Melbourne, A., Hutter, J., Abaci Turk, E. & Macgowan, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 25-37 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13575 LNCS).

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

    Open Access
  • 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

    Open Access
  • 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

  • Fetal Brain MRI Measurements Using a Deep Learning Landmark Network with Reliability Estimation

    Avisdris, N., Ben Bashat, D., Ben-Sira, L. & 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. 210-220 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

  • 2020

    Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets

    Dudovitch, G., Link-Sourani, D., Ben Sira, L., Miller, E., Ben Bashat, D. & Joskowicz, L., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 365-374 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12266 LNCS).

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

  • 2012

    Prediction of brain MR scans in longitudinal tumor follow-up studies

    Weizman, L., Ben-Sira, L., Joskowicz, L., Aizenstein, O., Shofty, B., Constantini, S. & Ben-Bashat, D., 2012, Medical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings. Langs, G., Montillo, A., Menze, B. H., Criminisi, A., Tu, Z., Lu, L., Langs, G., Ayache, N., Delingette, H., Menze, B. H., Golland, P. & Mori, K. (eds.). Springer Verlag, p. 179-187 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7511 LNCS).

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

    Open Access
  • 2011

    Longitudinal assessment of brain tumors using a repeatable prior-based segmentation

    Weizman, L., Joskowicz, L., Ben-Sira, L., Shofty, B., Constantini, S. & Ben-Bashat, D., 2011, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. p. 1733-1736 4 p. 5872740. (Proceedings - International Symposium on Biomedical Imaging).

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

  • Plexiform neurofibroma tissue classification

    Weizman, L., Hoch, L., Ben Sira, L., Joskowicz, L., Pratt, L., Constantini, S. & Ben Bashat, D., 2011, Medical Imaging 2011: Image Processing. 79623K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7962).

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

  • 2010

    Automatic segmentation and components classification of optic pathway gliomas in MRI

    Weizman, L., Ben-Sira, L., Joskowicz, L., Precel, R., Constantini, S. & Ben-Bashat, D., 2010, Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings. PART 1 ed. p. 103-110 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6361 LNCS, no. PART 1).

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

    Open Access
  • Automatic segmentation of Optic Pathway Gliomas in MRI

    Weizman, L., Joskowicz, L., Ben-Sira, L., Precel, R. & Ben-Bashat, D., 2010, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. p. 920-923 4 p. 5490137. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

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