Modeling the brain morphology distribution in the general aging population. - Wyke Huizinga; Dirk H. J. Poot; Gennady V. Roshchupkin; Esther E. Bron; Mohammad Arfan Ikram; Meike W. Vernooij; Daniel Rueckert; Wiro J. Niessen; Stefan Klein 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Heritability of connectivity and disconnectivity of the brain in a population-based study. - Carolyn D. Langen; Gennady V. Roshchupkin; Hieab H. Adams; Marius de Groot; Frans Vos; Meike W. Vernooij; Mohammad Arfan Ikram; Wiro J. Niessen (ISBI, 2017)

A spatio-temporal reference model of the aging brain. - Wyke Huizinga; Dirk H. J. Poot; Meike W. Vernooij; Gennady Roshchupkin; Esther Bron; Mohammad Arfan Ikram; Daniel Rueckert; Wiro J. Niessen; Stefan Klein 001 (NeuroImage, 2018)

Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics. - Natalia Vilor-Tejedor; Mohammad Arfan Ikram; Gennady V. Roshchupkin; Alejandro Cáceres; Silvia Alemany; Meike W. Vernooij; Wiro J. Niessen; Cornelia M. van Duijn; Jordi Sunyer; Hieab H. Adams; Juan R. González (Neuroinformatics, 2019)

Multi-Site Meta-Analysis of Morphometry. - Neda Jahanshad; Joshua Faskowitz; Gennady V. Roshchupkin; Derrek P. Hibar; Boris A. Gutman; Nicholas J. Tustison; Hieab H. H. Adams; Wiro J. Niessen; Meike W. Vernooij; Mohammad Arfan Ikram; Marcel P. Zwiers; Alejandro Arias-Vasquez; et al. (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis. - Xianjing Liu; Bo Li 088; Esther E. Bron; Wiro J. Niessen; Eppo B. Wolvius; Gennady V. Roshchupkin (MICCAI (5), 2021)

ArnovanHilten/GenNet: Release GenNet 1.4. - Arno van Hilten; Steven A. Kushner; Manfred Kayser; Mohammad Arfan Ikram; Hieab H. H. Adams; Caroline C. W. Klaver; Wiro J. Niessen; Gennady V. Roshchupkin (Zenodo, 2021)

Designing interpretable deep learning applications for functional genomics: a quantitative analysis. - Arno van Hilten; Sonja Katz; Edoardo Saccenti; Wiro J. Niessen; Gennady V. Roshchupkin (Briefings Bioinform., 2024)

Novel multi-omics deconfounding variational autoencoders can obtain meaningful disease subtyping. - Zuqi Li; Sonja Katz; Edoardo Saccenti; David W. Fardo; Peter Claes; Vítor A. P. Martins dos Santos; Kristel Van Steen; Gennady V. Roshchupkin (Briefings Bioinform., 2024)

MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning. - Pedro Mateus; Swier Garst; Jing Yu; Davy Cats; Alexander G. J. Harms; Mahlet A. Birhanu; Marian Beekman; P. Eline Slagboom; Marcel J. T. Reinders; Jeroen van der Grond; Andre Dekker; Jacobus F. A. Jansen; et al. (CoRR, 2024)

AI-based association analysis for medical imaging using latent-space geometric confounder correction. - Xianjing Liu; Bo Li 088; Meike W. Vernooij; Eppo B. Wolvius; Gennady V. Roshchupkin; Esther E. Bron (Medical Image Anal., 2025)