2017

S. Parisot, B. Glocker, S.I. Ktena, S. Arslan, M.D. Schirmer, and D. Rueckert, "A flexible graphical model for multi-modal parcellation of the cortex," NeuroImage , vol. 162, pp. 226-248, 2017 [source]
2016

S. Arslan, S. Parisot, and D. Rueckert, "Boundary mapping through manifold learning for connectivity-based cortical parcellation," International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2016. --> Travel Award <-- [source] [pdf] [supplementary]
2015


S. Arslan, S. Parisot, and D. Rueckert, "Joint spectral decomposition for the parcellation of the cerebral cortex using resting-state fMRI," Information Processing in Medical Imaging Lecture Notes in Computer Science, vol. 9123, pp. 85-97, 2015. --> Oral Presentation <-- [source] [pdf] [slides] [codes]


S. Arslan, S. Parisot, and D. Rueckert, "Comparing connectivity-based groupwise parcellations generated from resting-state fMRI and DTI data: Preliminary results," Symposium on Big Data Initiatives for Connectomics Research, London, 2015. --> Oral Presentation <-- [slides]

S. I. Ktena, S. Arslan, and D. Rueckert, "Gender classification and manifold learning on functional brain networks," Symposium on Big Data Initiatives for Connectomics Research, London, 2015. --> Oral Presentation <-- [slides]


S. Arslan, S. Parisot, and D. Rueckert, "How to represent subregions in a parcellated brain for fMRI analysis?," Organization for Human Brain Mapping (OHBM), Honolulu, 2015. [poster]
2014
2013
2012
