Learning a Sparse Database for Patch-Based Medical Image Segmentation. - Moti Freiman; Hannes Nickisch; Holger Schmitt; Pál Maurovich-Horvat; Patrick Donnelly; Mani Vembar; Liran Goshen (Patch-MI@MICCAI, 2017)

Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation. - Moti Freiman; Hannes Nickisch; Sven Prevrhal; Holger Schmitt; Mani Vembar; Pál Maurovich-Horvat; Patrick Donnelly; Liran Goshen (CoRR, 2019)

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. - Kajetan Grodecki; Aditya Killekar; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D. Pressman; Peter Julien; Judit Simon; Pál Maurovich-Horvat; Nicola Gaibazzi; et al. (CoRR, 2021)

COVID-19 lesion segmentation using convolutional LSTM for self-attention. - Aditya Killekar; Kajetan Grodecki; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D. Pressman; Peter Julien; Peter Chen; Judit Simon; Nitesh Nerlekar; et al. (Image Processing, 2022)

The reliability of virtual non-contrast reconstructions of photon-counting detector CT scans in assessing abdominal organs. - Ibolyka Dudás; Leona Schultz; Márton Benke; Ákos Szücs; Pál Novák Kaposi; Attila Szijártó; Pál Maurovich-Horvat; Bettina Katalin Budai (BMC Medical Imaging, 2024)

Spectral attenuation curves of photon-counting detector CT scans for the differentiation between mucinous and non-mucinous cyst fluids of pancreatic lesions - a proof-of-concept study. - Ibolyka Dudás; Borbála Lovász; Márton Benke; Máté Kiss; Markus Jürgens; Ákos Szücs; Pál Novák Kaposi; Attila Szijártó; Pál Maurovich-Horvat; Bettina Katalin Budai (BMC Medical Imaging, 2025)