ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans. - Felix Lau; Tom Hendriks; Jesse Lieman-Sifry; Sean Sall; Daniel Golden (DLMIA/ML-CDS@MICCAI, 2018)

ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans. - Felix Lau; Tom Hendriks; Jesse Lieman-Sifry; Berk Norman; Sean Sall; Daniel Golden (CoRR, 2018)

Neural Spherical Harmonics for Structurally Coherent Continuous Representation of Diffusion MRI Signal. - Tom Hendriks; Anna Vilanova; Maxime Chamberland (CDMRI@MICCAI, 2023)

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients. - Jarne Verhaeghe; Thomas De Corte; Christopher M. Sauer; Tom Hendriks; Olivier W. M. Thijssens; Femke Ongenae; Paul W. G. Elbers; Jan J. De Waele; Sofie Van Hoecke (Int. J. Medical Informatics, 2023)

Augmented intelligence facilitates concept mapping across different electronic health records. - Tariq A. Dam; Lucas M. Fleuren; Luca F. Roggeveen; Martijn Otten; Laurens Biesheuvel; Ameet R. Jagesar; Robbert C. A. Lalisang; Robert F. J. Kullberg; Tom Hendriks; Armand R. J. Girbes; Mark Hoogendoorn; Patrick J. Thoral; et al. (Int. J. Medical Informatics, 2023)

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization. - Nancy Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Joseph Yuan-Mou Yang; Ye Wu 001; Nagesh Adluru; Vishwesh Nath; et al. (CDMRI@MICCAI, 2024)

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. - Nancy R. Newlin; Kurt Schilling; Serge Koudoro; Bramsh Qamar Chandio; Praitayini Kanakaraj; Daniel Moyer; Claire E. Kelly; Sila Genc; Jian Chen; Joseph Yuan-Mou Yang; Ye Wu; Yifei He; et al. (CoRR, 2024)

Implicit neural representations for accurate estimation of the standard model of white matter. - Tom Hendriks; Gerrit Arends; Edwin Versteeg; Anna Vilanova; Maxime Chamberland; Chantal M. W. Tax (CoRR, 2025)