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researcher

P. Maurovich-Horvát

3 papers hereh-index 4612.2k citations453 works total

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

author position
  • middle author3

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

fields
  • eess.IV3

identity via Semantic Scholar / OpenAlex

most citedImproving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation

25 citations · 28 across the 2 of their papers we have counts for

collaborators

3 papers

eess.IV2021

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks

Kajetan Grodecki, Aditya Killekar, Andrew Lin +22

Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of t…

eess.IV2019★ 3 cited

Learning a sparse database for patch-based medical image segmentation

Moti Freiman, Hannes Nickisch, Holger Schmitt +4

We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen segmentation from coronary computed tomograp…

eess.IV2019★ 25 cited

Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation

Moti Freiman, Hannes Nickisch, Sven Prevrhal +5

Purpose: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm from…

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