Peter Savadjiev - Citegraph

Author Info

Name	Affiliation	Papers
PETER SAVADJIEV	Centre for Intelligent Machines, McGill University, 3480 University Street, Montréal, Québec H3A 2A7, Canada	19
Collaborators	Citations	PageRank
53	144	12.06
Referers	Referees	References
535	528	220

Search Limit

100535

Publications (19 rows)

Collaborators (53 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Structural connectivity analysis using Finsler geometry	0	0.34	2019
Whole brain white matter connectivity analysis using machine learning: An application to autism.	9	0.46	2018
Fiber Clustering Based White Matter Connectivity Analysis For Prediction Of Autism Spectrum Disorder Using Diffusion Tensor Imaging	2	0.36	2016
Inter-site and inter-scanner diffusion MRI data harmonization.	11	0.58	2016
Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners	7	0.57	2015
Fusion of white and gray matter geometry: a framework for investigating brain development.	3	0.37	2014
Combining surface and fiber geometry: an integrated approach to brain morphology.	3	0.41	2013
Multi-scale characterization of white matter tract geometry.	2	0.39	2012
A swarm tracking approach for stochastic white matter tractography	1	0.35	2011
A geometry-based particle filtering approach to white matter tractography.	5	0.50	2010
Local white matter geometry from diffusion tensor gradients.	8	0.66	2010
Local white matter geometry indices from diffusion tensor gradients.	0	0.34	2009
Streamline flows for white matter fibre pathway segmentation in diffusion MRI.	6	0.54	2008
Labeling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI.	27	1.42	2008
On the Differential Geometry of 3D Flow Patterns: Generalized Helicoids and Diffusion MRI Analysis	10	0.83	2007
3D curve inference for diffusion MRI regularization and fibre tractography.	30	1.72	2006
Validation and regularization in diffusion MRI tractography	9	0.89	2006
3D curve inference for diffusion MRI regularization.	7	0.83	2005
Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach	4	0.52	2003

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