Sensing the invisible: differential sensitivity of visual cortex and amygdala to traumatic context. - Talma Hendler; Pia Rotshtein; Yaara Yeshurun; Tal Weizmann; Itamar Kahn; Dafna Ben-Bashat; Rafael Malach; Avi Bleich (NeuroImage, 2003)

Accelerated maturation of white matter in young children with autism: A high b value DWI study. - Dafna Ben-Bashat; Vered Kronfeld-Duenias; Ditza A. Zachor; Perla M. Ekstein; Talma Hendler; Ricardo Tarrasch; Ariela Even; Yonata Levy; Liat Ben-Sira (NeuroImage, 2007)

Automatic segmentation of optic pathway GLIOMAS in MRI. - Lior Weizman; Leo Joskowicz; Liat Ben-Sira; Ronit Precel; Dafna Ben-Bashat (ISBI, 2010)

Automatic Segmentation and Components Classification of Optic Pathway Gliomas in MRI. - Lior Weizman; Liat Ben-Sira; Leo Joskowicz; Ronit Precel; Shlomi Constantini; Dafna Ben-Bashat (MICCAI (1), 2010)

Longitudinal assessment of brain tumors using a repeatable prior-based segmentation. - Lior Weizman; Leo Joskowicz; Liat Ben-Sira; Ben Shofty; Shlomi Constantini; Dafna Ben-Bashat (ISBI, 2011)

T 1 Mapping, AIF and Pharmacokinetic Parameter Extraction from Dynamic Contrast Enhancement MRI Data. - Gilad Liberman; Yoram Louzoun; Olivier Colliot; Dafna Ben-Bashat (MBIA, 2011)

Plexiform neurofibroma tissue classification. - Lior Weizman; Lior Hoch; Liat Ben-Sira; Leo Joskowicz; Li-tal Pratt; Shlomi Constantini; Dafna Ben-Bashat (Image Processing, 2011)

Unsupervised multiparametric classification of dynamic susceptibility contrast imaging: Study of the healthy brain. - Moran Artzi; Orna Aizenstein; Talma Hendler; Dafna Ben-Bashat (NeuroImage, 2011)

Prediction of Brain MR Scans in Longitudinal Tumor Follow-Up Studies. - Lior Weizman; Liat Ben-Sira; Leo Joskowicz; Orna Aizenstein; Ben Shofty; Shlomi Constantini; Dafna Ben-Bashat (MICCAI (2), 2012)

Interactive segmentation of plexiform neurofibroma tissue: method and preliminary performance evaluation. - Lior Weizman; Lior Hoch; Dafna Ben-Bashat; Leo Joskowicz; Li-tal Pratt; Shlomi Constantini; Liat Ben-Sira (Medical Biol. Eng. Comput., 2012)

Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI. - Lior Weizman; Liat Ben-Sira; Leo Joskowicz; Shlomi Constantini; Ronit Precel; Ben Shofty; Dafna Ben-Bashat (Medical Image Anal., 2012)

Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis. - Gali Zimmerman-Moreno; Dafna Ben-Bashat; Moran Artzi; Beatrice Nefussy; Vivian Drory; Orna Aizenstein; Hayit Greenspan (CDMRI/MMBC@MICCAI, 2013)

Exploiting similarity in adjacent slices for compressed sensing MRI. - Lior Weizman; Ohad Rahamim; Roey Dekel; Yonina C. Eldar; Dafna Ben-Bashat (EMBC, 2014)

PNist: interactive volumetric measurements of plexiform neurofibromas in MRI scans. - Lior Weizman; Dina Helfer; Dafna Ben-Bashat; Li-tal Pratt; Leo Joskowicz; Shlomi Constantini; Ben Shofty; Liat Ben-Sira (Int. J. Comput. Assist. Radiol. Surg., 2014)

The application of Compressed Sensing for Longitudinal MRI. - Lior Weizman; Yonina C. Eldar; Dafna Ben-Bashat (CoRR, 2014)

Fast reference based MRI. - Lior Weizman; Yonina C. Eldar; Alon Eilam; S. Londner; Moran Artzi; Dafna Ben-Bashat (EMBC, 2015)

MRI radiomics analysis of molecular alterations in low-grade gliomas. - Ben Shofty; Moran Artzi; Dafna Ben-Bashat; Gilad Liberman; Oz Haim; Alon Kashanian; Felix Bokstein; Deborah T. Blumenthal; Zvi Ram; Tal Shahar (Int. J. Comput. Assist. Radiol. Surg., 2018)

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)

Overparameterized Models for Vector Fields. - Keren Rotker; Dafna Ben-Bashat; Alex M. Bronstein (SIAM J. Imaging Sci., 2020)

Fetal Brain MRI Measurements Using a Deep Learning Landmark Network with Reliability Estimation. - Netanell Avisdris; Dafna Ben-Bashat; Liat Ben-Sira; Leo Joskowicz (UNSURE/PIPPI@MICCAI, 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 (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)

BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes. - Netanell Avisdris; Leo Joskowicz; Brian Dromey; Anna L. David; Donald M. Peebles; Danail Stoyanov; Dafna Ben-Bashat; Sophia Bano (MICCAI (4), 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)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

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 (MILLanD@MICCAI, 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; et al. (Medical Image Anal., 2023)

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)