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Hugo G. Schnack
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2020 – today
- 2022
- [j15]Junhao Wen
, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75: 102304 (2022) - [i3]Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal, Bart van Schie, Andre F. Marquand, Josien P. W. Pluim, Wiepke Cahn, Hugo G. Schnack:
PROMISSING: Pruning Missing Values in Neural Networks. CoRR abs/2206.01640 (2022) - 2021
- [j14]Thomas T. Kok, Georg Krempl
Implementation of and experimental software for active selection of classification features. Softw. Impacts 9: 100103 (2021) - [c2]Thomas T. Kok
Active Selection of Classification Features. IDA 2021: 184-195 - [i2]Thomas T. Kok, Rachel M. Brouwer, René C. W. Mandl, Hugo G. Schnack, Georg Krempl:
Active Selection of Classification Features. CoRR abs/2102.13636 (2021) - 2020
- [j13]Yaron Caspi
Changes in the intracranial volume from early adulthood to the sixth decade of life: A longitudinal study. NeuroImage 220: 116842 (2020)
2010 – 2019
- 2017
- [j12]George Gifford
Using neuroimaging to help predict the onset of psychosis. NeuroImage 145: 209-217 (2017) - [j11]Mireille Nieuwenhuis
Multi-center MRI prediction models: Predicting sex and illness course in first episode psychosis patients. NeuroImage 145: 246-253 (2017) - [j10]Petr Dluhos
Multi-center machine learning in imaging psychiatry: A meta-model approach. NeuroImage 155: 10-24 (2017) - 2014
- [j9]Hugo G. Schnack, Mireille Nieuwenhuis
Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects. NeuroImage 84: 299-306 (2014) - [j8]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
Heritability of brain volume change and its relation to intelligence. NeuroImage 100: 676-683 (2014) - 2012
- [j7]I. L. C. van Soelen, Rachel M. Brouwer, G. Caroline M. van Baal, Hugo G. Schnack, Jiska S. Peper, D. Louis Collins
Genetic influences on thinning of the cerebral cortex during development. NeuroImage 59(4): 3871-3880 (2012) - [j6]Mireille Nieuwenhuis
Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples. NeuroImage 61(3): 606-612 (2012) - 2010
- [j5]Rachel M. Brouwer, Hilleke E. Hulshoff Pol
Segmentation of MRI brain scans using non-uniform partial volume densities. NeuroImage 49(1): 467-477 (2010)
2000 – 2009
- 2007
- [i1]Hugo G. Schnack:
Oranges-In-A-Box Simulations help to Classify Brain Tissues from MRI. ERCIM News 2007(69) (2007) - 2006
- [j4]Hilleke E. Hulshoff Pol
Gray and white matter density changes in monozygotic and same-sex dizygotic twins discordant for schizophrenia using voxel-based morphometry. NeuroImage 31(2): 482-488 (2006) - 2005
- [j3]Eveline A. De Bruin, Hilleke E. Hulshoff Pol
Focal brain matter differences associated with lifetime alcohol intake and visual attention in male but not in female non-alcohol-dependent drinkers. NeuroImage 26(2): 536-545 (2005) - 2004
- [j2]Hilleke E. Hulshoff Pol
Focal white matter density changes in schizophrenia: reduced inter-hemispheric connectivity. NeuroImage 21(1): 27-35 (2004) - 2003
- [c1]Jan Klemencic, Josien P. W. Pluim, Max A. Viergever, Hugo G. Schnack, Vojko Valencic:
Three-dimensional appearance for hippocampus segmentation from MRI. Image Processing 2003 - 2001
- [j1]Hugo G. Schnack, Hilleke E. Hulshoff Pol
Automatic Segmentation of the Ventricular System from MR Images of the Human Brain. NeuroImage 14(1): 95-104 (2001)
Coauthor Index
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