Nikolaos Koutsouleris

According to our database, Nikolaos Koutsouleris authored at least 9 papers between 2008 and 2022.

Collaborative distances:

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

2022

dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.

Han Cao, Youcheng Zhang, Jan Baumbach, Paul R. Burton, Dominic B. Dwyer, Nikolaos Koutsouleris, Julian O. Matschinske, Yannick Marcon, Sivanesan Rajan, Thilo Rieg, Patricia Ryser-Welch, Julian Späth, Carl Herrmann, Emanuel Schwarz

Bioinform., October, 2022

Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning.

Nicolas Rost, Tanja M. Brückl, Nikolaos Koutsouleris, Elisabeth B. Binder, Bertram Müller-Myhsok

BMC Medical Informatics Decis. Mak., 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

2020

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.

Raymond Pomponio, Güray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M. Nasrallah, Theodore D. Satterthwaite, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Christos Davatzikos

NeuroImage, 2020

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.

Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos

CoRR, 2020

2019

Machine Learning to Study Social Interaction Difficulties in ASD.

Alexandra Livia Georgescu, Jana Christina Koehler, Johanna Weiske, Kai Vogeley, Nikolaos Koutsouleris, Christine M. Falter-Wagner

Frontiers Robotics AI, 2019

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

2012

Diagnostic neuroimaging across diseases.

Stefan Klöppel, Ahmed Abdulkadir, Clifford R. Jack Jr., Nikolaos Koutsouleris, Janaina Mourão Miranda, Prashanthi Vemuri

NeuroImage, 2012

2008

Structural correlates of psychopathological symptom dimensions in schizophrenia: A voxel-based morphometric study.

Nikolaos Koutsouleris, Christian Gaser, Markus Jäger, Ronald Bottlender, Thomas Frodl, Silvia Holzinger, Gisela J. E. Schmitt, Thomas Zetzsche, Bernhard Burgermeister, Johanna Scheuerecker, Christine Born, Maximilian Reiser, Hans-Jürgen Möller, Eva M. Meisenzahl

NeuroImage, 2008