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researcher

Thomas G. Day

2 papers hereh-index 121 citations2 works total

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

author position
  • middle author2

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

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedEchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2025

L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation

Johanna P. Müller, Robert Wright, Thomas G. Day +6

Accurate analysis of prenatal ultrasound (US) is essential for early detection of developmental anomalies. However, operator dependency and technical limitations (e.g. intrinsic ar…

cs.CV2024★ 2 cited

EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing

Hadrien Reynaud, Qingjie Meng, Mischa Dombrowski +5

To make medical datasets accessible without sharing sensitive patient information, we introduce a novel end-to-end approach for generative de-identification of dynamic medical imag…

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