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researcher

D. Bashat

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedAutomatic fetal fat quantification from MRI

5 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2022★ 1 cited

Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI

Bella Specktor Fadida, Bossmat Yehuda, Daphna Link Sourani +3

Volumetric measurements of fetal structures in MRI are time consuming and error prone and therefore require automatic segmentation. Placenta segmentation and accurate fetal brain s…

eess.IV2022★ 3 cited

Partial annotations for the segmentation of large structures with low annotation cost

Bella Specktor Fadida, Daphna Link Sourani, Liat Ben Sira Elka Miller +2

Deep learning methods have been shown to be effective for the automatic segmentation of structures and pathologies in medical imaging. However, they require large annotated dataset…

cs.CV2022★ 5 cited

Automatic fetal fat quantification from MRI

Netanell Avisdris, Aviad Rabinowich, Daniel Fridkin +9

Normal fetal adipose tissue (AT) development is essential for perinatal well-being. AT, or simply fat, stores energy in the form of lipids. Malnourishment may result in excessive o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.