Automatic Segmentation of the Ventricular System from MR Images of the Human Brain. - Hugo G. Schnack; Hilleke E. Hulshoff Pol; Wim F. C. Baaré; Max A. Viergever; René S. Kahn (NeuroImage, 2001)

Three-dimensional appearance for hippocampus segmentation from MRI. - Jan Klemencic; Josien P. W. Pluim; Max A. Viergever; Hugo G. Schnack; Vojko Valencic (Image Processing, 2003)

Focal white matter density changes in schizophrenia: reduced inter-hemispheric connectivity. - Hilleke E. Hulshoff Pol; Hugo G. Schnack; René C. W. Mandl; Wiepke Cahn; D. Louis Collins; Alan C. Evans; René S. Kahn (NeuroImage, 2004)

Focal brain matter differences associated with lifetime alcohol intake and visual attention in male but not in female non-alcohol-dependent drinkers. - Eveline A. De Bruin; Hilleke E. Hulshoff Pol; Hugo G. Schnack; Joost Janssen; Suzanne Bijl; Alan C. Evans; J. Leon Kenemans; René S. Kahn; Marinus N. Verbaten (NeuroImage, 2005)

Gray and white matter density changes in monozygotic and same-sex dizygotic twins discordant for schizophrenia using voxel-based morphometry. - Hilleke E. Hulshoff Pol; Hugo G. Schnack; René C. W. Mandl; Rachel G. H. Brans; Neeltje E. M. van Haren; Wim F. C. Baaré; Clarine J. van Oel; D. Louis Collins; Alan C. Evans; René S. Kahn (NeuroImage, 2006)

Oranges-In-A-Box Simulations help to Classify Brain Tissues from MRI. - Hugo G. Schnack (ERCIM News, 2007)

Segmentation of MRI brain scans using non-uniform partial volume densities. - Rachel M. Brouwer; Hilleke E. Hulshoff Pol; Hugo G. Schnack (NeuroImage, 2010)

Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples. - Mireille Nieuwenhuis; Neeltje E. M. van Haren; Hilleke E. Hulshoff Pol; Wiepke Cahn; René S. Kahn; Hugo G. Schnack (NeuroImage, 2012)

Genetic influences on thinning of the cerebral cortex during development. - I. L. C. van Soelen; Rachel M. Brouwer; G. Caroline M. van Baal; Hugo G. Schnack; Jiska S. Peper; D. Louis Collins; Alan C. Evans; René S. Kahn; Dorret I. Boomsma; Hilleke E. Hulshoff Pol (NeuroImage, 2012)

Heritability of brain volume change and its relation to intelligence. - Rachel M. Brouwer; Anna M. Hedman; Neeltje E. M. van Haren; Hugo G. Schnack; Rachel G. H. Brans; Dirk J. A. Smit; René S. Kahn; Dorret I. Boomsma; Hilleke E. Hulshoff Pol (NeuroImage, 2014)

Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects. - Hugo G. Schnack; Mireille Nieuwenhuis; Neeltje E. M. van Haren; Lucija Abramovic; Thomas W. Scheewe; Rachel M. Brouwer; Hilleke E. Hulshoff Pol; René S. Kahn (NeuroImage, 2014)

Multi-center machine learning in imaging psychiatry: A meta-model approach. - Petr Dluhos; Daniel Schwarz; Wiepke Cahn; Neeltje E. M. van Haren; René S. Kahn; Filip Spaniel; Jirí Horácek; Tomás Kaspárek; Hugo G. Schnack (NeuroImage, 2017)

Using neuroimaging to help predict the onset of psychosis. - George Gifford; Nicolas Crossley; Paolo Fusar-Poli; Hugo G. Schnack; René S. Kahn; Nikolaos Koutsouleris; Tyrone D. Cannon; Philip K. McGuire (NeuroImage, 2017)

Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients. - Mireille Nieuwenhuis; Hugo G. Schnack; Neeltje E. M. van Haren; Julia M. Lappin; Craig Morgan; Antje A. Reinders; Diana Tordesillas-Gutierrez; Roberto Roiz-Santiañez; Maristela S. Schaufelberger; Pedro G. Rosa; Marcus V. Zanetti; Geraldo F. Busatto; et al. (NeuroImage, 2017)

Changes in the intracranial volume from early adulthood to the sixth decade of life: A longitudinal study. - Yaron Caspi; Rachel M. Brouwer; Hugo G. Schnack; Marieke E. van de Nieuwenhuijzen; Wiepke Cahn; René S. Kahn; Wiro J. Niessen; Aad van der Lugt; Hilleke E. Hulshoff Pol (NeuroImage, 2020)

Active Selection of Classification Features. - Thomas T. Kok; Rachel M. Brouwer; René C. W. Mandl; Hugo G. Schnack; Georg Krempl (IDA, 2021)

Implementation of and experimental software for active selection of classification features. - Thomas T. Kok; Georg Krempl; Hugo G. Schnack (Softw. Impacts, 2021)

PROMISSING: Pruning Missing Values in Neural Networks. - Seyed Mostafa Kia; Nastaran Mohammadian Rad; Daniel van Opstal; Bart van Schie; Andre F. Marquand; Josien P. W. Pluim; Wiepke Cahn; Hugo G. Schnack (CoRR, 2022)

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. - Junhao Wen 002; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B. Chand; Güray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B. Dwyer; Alessandro Pigoni; Paola Dazzan; et al. (Medical Image Anal., 2022)