Hugo G. Schnack

According to our database, Hugo G. Schnack authored at least 19 papers between 2001 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.

Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic B. Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Romero-Garcia Rafael, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Daniel H. Wolf, Christos Davatzikos

Medical Image Anal., 2022

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

2021

Implementation of and experimental software for active selection of classification features.

Thomas T. Kok, Georg Krempl, Hugo G. Schnack

Softw. Impacts, 2021

Active Selection of Classification Features.

Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020

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

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, Benedicto Crespo-Facorro, Patrick D. McGorry, Dennis Velakoulis, Christos Pantelis, Stephen J. Wood, René S. Kahn, Janaina Mourão Miranda, Paola Dazzan

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 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

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

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

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

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

2010

Segmentation of MRI brain scans using non-uniform partial volume densities.

Rachel M. Brouwer, Hilleke E. Hulshoff Pol, Hugo G. Schnack

NeuroImage, 2010

2007

Oranges-In-A-Box Simulations help to Classify Brain Tissues from MRI.

Hugo G. Schnack

ERCIM News, 2007

2006

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

2005

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

2004

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

2003

Three-dimensional appearance for hippocampus segmentation from MRI.

Jan Klemencic, Josien P. W. Pluim, Max A. Viergever, Hugo G. Schnack, Vojko Valencic

Proceedings of the Medical Imaging 2003: Image Processing, 2003

2001

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