Nikolaos Koutsouleris

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 7

Top Topics

Machine Learning

Structured Sparse Learning

Medical Image Retrieval

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

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
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning. Bioinform. 38 (21) (2022)
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
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75 (2022)
Nicolas Rost, Tanja M. Brückl, Nikolaos Koutsouleris, Elisabeth B. Binder, Bertram Müller-Myhsok
Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
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
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR (2020)
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
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage 208 (2020)
Alexandra L. Georgescu, Jana Christina Koehler, Johanna Weiske, Kai Vogeley, Nikolaos Koutsouleris, Christine M. Falter-Wagner
Machine Learning to Study Social Interaction Difficulties in ASD. Frontiers Robotics AI 6 (2019)
George Gifford, Nicolas Crossley, Paolo Fusar-Poli, Hugo G. Schnack, René S. Kahn, Nikolaos Koutsouleris, Tyrone D. Cannon, Philip K. McGuire
Using neuroimaging to help predict the onset of psychosis. NeuroImage 145 (2017)
Stefan Klöppel, Ahmed Abdulkadir, Clifford R. Jack Jr., Nikolaos Koutsouleris, Janaina Mourão Miranda, Prashanthi Vemuri
Diagnostic neuroimaging across diseases. NeuroImage 61 (2) (2012)
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
Structural correlates of psychopathological symptom dimensions in schizophrenia: A voxel-based morphometric study. NeuroImage 39 (4) (2008)