Sven Haller

According to our database1, Sven Haller authored at least 12 papers between 2012 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training.
IEEE Trans. Biomed. Engineering, 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.
Brain Connectivity, 2017

2016
Meta-analysis of real-time fMRI neurofeedback studies using individual participant data: How is brain regulation mediated?
NeuroImage, 2016

Predicting individual scores from resting state fMRI using partial least squares regression.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
MCI Identification by Joint Learning on Multiple MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance.
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.
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.
Int. J. Comput. Assist. Radiol. Surg., 2014

2013
Real-time fMRI neurofeedback: Progress and challenges.
NeuroImage, 2013

Dynamic reconfiguration of human brain functional networks through neurofeedback.
NeuroImage, 2013

Co-Registration of Intra-Operative Photographs and Pre-Operative MR Images.
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.
NeuroImage, 2012


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