Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets. - Gal Dudovitch; Daphna Link-Sourani; Liat Ben-Sira; Elka Miller; Dafna Ben-Bashat; Leo Joskowicz (MICCAI (6), 2020)

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 (UNSURE/PIPPI@MICCAI, 2021)

Automatic linear measurements of the fetal brain on MRI with deep neural networks. - Netanell Avisdris; Bossmat Yehuda; Ori Ben-Zvi; Daphna Link-Sourani; Liat Ben-Sira; Elka Miller; Elena Zharkov; Dafna Ben-Bashat; Leo Joskowicz (Int. J. Comput. Assist. Radiol. Surg., 2021)

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 (ECCV Workshops (3), 2022)

Automatic Fetal Fat Quantification from MRI. - Netanell Avisdris; Aviad Rabinowich; Daniel Fridkin; Ayala Zilberman; Sapir Lazar; Jacky Herzlich; Zeev Hananis; Daphna Link-Sourani; Liat Ben-Sira; Liran Hiersch; Dafna Ben-Bashat; Leo Joskowicz (PIPPI@MICCAI, 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 (MILLanD@MICCAI, 2022)

MBSS-T1: Model-Based Self-Supervised Motion Correction for Robust Cardiac T1 Mapping. - Eyal Hanania; Ilya Volovik; Daphna Link-Sourani; Israel Cohen; Moti Freiman (CoRR, 2024)

MBSS-T1: Model-based subject-specific self-supervised motion correction for robust cardiac T1 mapping. - Eyal Hanania; Adi Zehavi-Lenz; Ilya Volovik; Daphna Link-Sourani; Israel Cohen; Moti Freiman (Medical Image Anal., 2025)