Dafna Ben-Bashat

Orcid: 0000-0001-8396-1031

According to our database1, Dafna Ben-Bashat authored at least 29 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

Test-Time Augmentation-Based Active Learning and Self-training for Label-Efficient Segmentation.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022
Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

Partial Annotations for the Segmentation of Large Structures with Low Annotation Cost.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Automatic Fetal Fat Quantification from MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

BiometryNet: Landmark-based Fetal Biometry Estimation from Standard Ultrasound Planes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Contour Dice Loss for Structures with Fuzzy and Complex Boundaries in Fetal MRI.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Automatic linear measurements of the fetal brain on MRI with deep neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2021

A Bootstrap Self-training Method for Sequence Transfer: State-of-the-Art Placenta Segmentation in fetal MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Fetal Brain MRI Measurements Using a Deep Learning Landmark Network with Reliability Estimation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020
Overparameterized Models for Vector Fields.
SIAM J. Imaging Sci., 2020

Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018
MRI radiomics analysis of molecular alterations in low-grade gliomas.
Int. J. Comput. Assist. Radiol. Surg., 2018

2015
Fast reference based MRI.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
The application of Compressed Sensing for Longitudinal MRI.
CoRR, 2014

PNist: interactive volumetric measurements of plexiform neurofibromas in MRI scans.
Int. J. Comput. Assist. Radiol. Surg., 2014

Exploiting similarity in adjacent slices for compressed sensing MRI.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

2012
Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI.
Medical Image Anal., 2012

Interactive segmentation of plexiform neurofibroma tissue: method and preliminary performance evaluation.
Medical Biol. Eng. Comput., 2012

Prediction of Brain MR Scans in Longitudinal Tumor Follow-Up Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
Unsupervised multiparametric classification of dynamic susceptibility contrast imaging: Study of the healthy brain.
NeuroImage, 2011

Plexiform neurofibroma tissue classification.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

T 1 Mapping, AIF and Pharmacokinetic Parameter Extraction from Dynamic Contrast Enhancement MRI Data.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Longitudinal assessment of brain tumors using a repeatable prior-based segmentation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Automatic Segmentation and Components Classification of Optic Pathway Gliomas in MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Automatic segmentation of optic pathway GLIOMAS in MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2007
Accelerated maturation of white matter in young children with autism: A high b value DWI study.
NeuroImage, 2007

2003
Sensing the invisible: differential sensitivity of visual cortex and amygdala to traumatic context.
NeuroImage, 2003


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