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Sven Haller
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2020 – today
- 2021
- [j10]Amelie Haugg
, Fabian M. Renz, Andrew A. Nicholson, Cindy Lor, Sebastian J. Götzendorfer, Ronald Sladky
Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. NeuroImage 237: 118207 (2021) - 2020
- [j9]Swann Pichon
Higher availability of α4β2 nicotinic receptors (nAChRs) in dorsal ACC is linked to more efficient interference control. NeuroImage 214: 116729 (2020)
2010 – 2019
- 2019
- [j8]Han Zhang
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. Neuroinformatics 17(4): 547-561 (2019) - 2017
- [j7]Tianyi Qian, Davide Zanchi, Cristelle Rodriguez, Marine Ackermann, Panteleimon Giannakopoulos, Sven Haller:
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. Brain Connect. 7(10): 627-634 (2017) - [j6]Rotem Kopel, Kirsten Emmert, Frank Scharnowski
Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training. IEEE Trans. Biomed. Eng. 64(6): 1228-1237 (2017) - 2016
- [j5]Kirsten Emmert, Rotem Kopel, James S. Sulzer, Annette B. Brühl
Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated? NeuroImage 124: 806-812 (2016) - [c5]Djalel Eddine Meskaldji, Maria Giulia Preti
Predicting individual scores from resting state fMRI using partial least squares regression. ISBI 2016: 1311-1314 - 2015
- [c4]Maria Giulia Preti, Sven Haller, Panteleimon Giannakopoulos, Dimitri Van De Ville
Decomposing dynamic functional connectivity onto phase-dependent eigenconnectivities using the Hilbert transform. ISBI 2015: 38-41 - [c3]Yue Gao, Chong-Yaw Wee, Minjeong Kim, Panteleimon Giannakopoulos, Marie-Louise Montandon, Sven Haller, Dinggang Shen:
MCI Identification by Joint Learning on Multiple MRI Data. MICCAI (2) 2015: 78-85 - [c2]Yue Gao, Ehsan Adeli-Mosabbeb
Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance. MICCAI (2) 2015: 86-93 - 2014
- [j4]Benjamin Berkels
Co-registration of intra-operative brain surface photographs and pre-operative MR images. Int. J. Comput. Assist. Radiol. Surg. 9(3): 387-400 (2014) - 2013
- [j3]James S. Sulzer, Sven Haller
Real-time fMRI neurofeedback: Progress and challenges. NeuroImage 76: 386-399 (2013) - [j2]Sven Haller
Dynamic reconfiguration of human brain functional networks through neurofeedback. NeuroImage 81: 243-252 (2013) - [c1]Benjamin Berkels
Co-Registration of Intra-Operative Photographs and Pre-Operative MR Images. Bildverarbeitung für die Medizin 2013: 122-127 - [i1]Benjamin Berkels, Ivan Cabrilo, Sven Haller, Martin Rumpf, Carlo Schaller:
Cortical Surface Co-Registration based on MRI Images and Photos. CoRR abs/1303.5691 (2013) - 2012
- [j1]Dimitri Van De Ville
Recovery of the default mode network after demanding neurofeedback training occurs in spatio-temporally segregated subnetworks. NeuroImage 63(4): 1775-1781 (2012)
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