Sven Haller

According to our database, Sven Haller authored at least 16 papers between 2012 and 2021.

Collaborative distances:

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

2021

Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis.

Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson, Cindy Lor, Sebastian J. Götzendorfer, Ronald Sladky, Stavros Skouras, Amalia McDonald, R. Cameron Craddock, Lydia Hellrung, Matthias Kirschner, Marcus Herdener, Yury Koush, Marina Papoutsi, Nimrod Jakob Keynan, Talma Hendler, Kathrin Cohen Kadosh, Catharina Zich, Simon H. Kohl, Manfred Hallschmid, Jeff MacInnes, R. Alison Adcock, Kathryn C. Dickerson, Nan-kuei Chen, Kymberly D. Young, Jerzy Bodurka, Michael Marxen, Shuxia Yao, Benjamin Becker, Tibor Auer, Renate Schweizer, Gustavo S. P. Pamplona, Ruth A. Lanius, Kirsten Emmert, Sven Haller, Dimitri Van De Ville, Dong-Youl Kim, Jong-Hwan Lee, Theo Marins, Fukuda Megumi, Bettina Sorger, Tabea Kamp, Sook-Lei Liew, Ralf Veit, Maartje S. Spetter, Nikolaus Weiskopf, Frank Scharnowski, David Steyrl

NeuroImage, 2021

2020

Higher availability of α4β2 nicotinic receptors (nAChRs) in dorsal ACC is linked to more efficient interference control.

Swann Pichon, Valentina Garibotto, Michael Wissmeyer, Yann Seimbille, Lia Antico, Osman Ratib, Patrik Vuilleumier, Sven Haller, Fabienne Picard

NeuroImage, 2020

2019

Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment.

Han Zhang, Panteleimon Giannakopoulos, Sven Haller, Seong-Whan Lee, Shijun Qiu, Dinggang Shen

Neuroinformatics, 2019

2017

Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training.

Rotem Kopel, Kirsten Emmert, Frank Scharnowski, Sven Haller, Dimitri Van De Ville

IEEE Trans. Biomed. Eng., 2017

Detecting Perfusion Pattern Based on the Background Low-Frequency Fluctuation in Resting-State Functional Magnetic Resonance Imaging Data and Its Influence on Resting-State Networks: An Iterative Postprocessing Approach.

Tianyi Qian, Davide Zanchi, Cristelle Rodriguez, Marine Ackermann, Panteleimon Giannakopoulos, Sven Haller

Brain Connect., 2017

2016

Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?

Kirsten Emmert, Rotem Kopel, James S. Sulzer, Annette B. Brühl, Brian D. Berman, David E. J. Linden, Silvina G. Horovitz, Markus Breimhorst, Andrea Caria, Sabine Frank, Stephen J. Johnston, Zhi-ying Long, Christian Paret, Fabien Robineau, Ralf Veit, Andreas J. Bartsch, Christian F. Beckmann, Dimitri Van De Ville, Sven Haller

NeuroImage, 2016

Predicting individual scores from resting state fMRI using partial least squares regression.

Djalel Eddine Meskaldji, Maria Giulia Preti, Thomas Bolton, Marie-Louise Montandon, Cristelle Rodriguez, Stephan Morgenthaler, Panteleimon Giannakopoulos, Sven Haller, Dimitri Van De Ville

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

MCI Identification by Joint Learning on Multiple MRI Data.

Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance.

Yue Gao, Ehsan Adeli-Mosabbeb, Minjeong Kim, Panteleimon Giannakopoulos, Sven Haller, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Decomposing dynamic functional connectivity onto phase-dependent eigenconnectivities using the Hilbert transform.

Maria Giulia Preti, Sven Haller, Panteleimon Giannakopoulos, Dimitri Van De Ville

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Co-registration of intra-operative brain surface photographs and pre-operative MR images.

Benjamin Berkels, Ivan Cabrilo, Sven Haller, Martin Rumpf, Karl Schaller

Int. J. Comput. Assist. Radiol. Surg., 2014

2013

Real-time fMRI neurofeedback: Progress and challenges.

James S. Sulzer, Sven Haller, Frank Scharnowski, Nikolaus Weiskopf, Niels Birbaumer, Maria Laura Blefari, Annette B. Brühl, Leonardo G. Cohen, R. Christopher DeCharms, Roger Gassert, Rainer Goebel, Uwe Herwig, Stephen LaConte, David E. J. Linden, Andreas R. Luft, Erich Seifritz, Ranganatha Sitaram

NeuroImage, 2013

Dynamic reconfiguration of human brain functional networks through neurofeedback.

Sven Haller, Rotem Kopel, Permi Jhooti, Tanja Haas, Frank Scharnowski, Karl-Olof Lövblad, Klaus Scheffler, Dimitri Van De Ville

NeuroImage, 2013

Cortical Surface Co-Registration based on MRI Images and Photos

Benjamin Berkels, Ivan Cabrilo, Sven Haller, Martin Rumpf, Carlo Schaller

CoRR, 2013

Co-Registration of Intra-Operative Photographs and Pre-Operative MR Images.

Benjamin Berkels, Ivan Cabrilo, Sven Haller, Martin Rumpf, Carlo Schaller

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2012

Recovery of the default mode network after demanding neurofeedback training occurs in spatio-temporally segregated subnetworks.

Dimitri Van De Ville, Permi Jhooti, Tanja Haas, Rotem Kopel, Karl-Olof Lövblad, Klaus Scheffler, Sven Haller

NeuroImage, 2012