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Bella Specktor-Fadida

5 papers hereh-index 579 citations21 works total

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

author position
  • first author3
  • last author1

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedAdvances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge

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

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.CV2025★ 1 cited

SingleStrip: learning skull-stripping from a single labeled example

Bella Specktor-Fadida, Malte Hoffmann

Deep learning segmentation relies heavily on labeled data, but manual labeling is laborious and time-consuming, especially for volumetric images such as brain magnetic resonance im…

cs.CV2025★ 4 cited

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge

Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67

Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…

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