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Kuldeep Kumar
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All published works
Action
Title
Year
Authors
+
Subcortical Brain Alterations Across Copy Number Variants Converge With Those in Severe Mental Illnesses
2024
Kuldeep Kumar
Claudia Modenato
Clara Moreau
Christopher R. K. Ching
Carrie E. Bearden
Paul M. Thompson
SĂ©bastien Jacquemont
+
PDF
Chat
Author Correction: Using rare genetic mutations to revisit structural brain asymmetry
2024
Jakub KopĂĄl
Kuldeep Kumar
Kimia Shafighi
Karin Saltoun
Claudia Modenato
Clara Moreau
Guillaume Huguet
Martineau JeanâLouis
Charles-Olivier Martin
Zohra Saci
+
PDF
Chat
1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans
2021
Ida E. SĂžnderby
Dennis van der Meer
Clara Moreau
Tobias Kaufmann
G. Bragi Walters
Maria Ellegaard
Abdel Abdellaoui
David Ames
Katrin Amunts
Micael Andersson
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PDF
Chat
White matter fiber analysis using kernel dictionary learning and sparsity priors
2019
Kuldeep Kumar
Kaleem Siddiqi
Christian Desrosiers
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White matter fiber analysis using kernel dictionary learning and sparsity priors
2018
Kuldeep Kumar
Kaleem Siddiqi
Christian Desrosiers
+
PDF
Chat
Multi-Modal Analysis of Genetically-Related Subjects Using SIFT Descriptors in Brain MRI
2018
Kuldeep Kumar
Laurent Chauvin
Matthew Toews
Olivier Colliot
Christian Desrosiers
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Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI
2017
Kuldeep Kumar
Laurent Chauvin
Mathew Toews
Olivier Colliot
Christian Desrosiers
+
White Matter Fiber Segmentation Using Functional Varifolds
2017
Kuldeep Kumar
Pietro Gori
Benjamin Charlier
Stanley Durrleman
Olivier Colliot
Christian Desrosiers
+
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers
2016
Kuldeep Kumar
Christian Desrosiers
Ahmad Chaddad
Matthew Toews
Common Coauthors
Coauthor
Papers Together
Christian Desrosiers
6
Clara Moreau
3
Paul M. Thompson
3
Claudia Modenato
3
Olivier Colliot
3
SĂ©bastien Jacquemont
3
Carrie E. Bearden
2
Jérémy Hall
2
Marianne B. M. van den Bree
2
Ida E. SĂžnderby
2
David E.J. Linden
2
Christopher R. K. Ching
2
Bogdan Draganski
2
Kaleem Siddiqi
2
Laurent Chauvin
2
Matthew Toews
2
David C. Glahn
2
Michael J. Owen
2
Ole A. Andreassen
2
Ana Isabel Silva
2
Andreas MeyerâLindenberg
1
Nicholas G. Martin
1
Anbupalam Thalamuthu
1
Jennifer Monereo SĂĄnchez
1
Kimia Shafighi
1
Sarah E. Medland
1
John Blangero
1
Zohra Saci
1
Paola Dazzan
1
Ălise Douard
1
Else Eising
1
Ahmad Chaddad
1
CĂ©line S. Reinbold
1
Ikuo Suzuki
1
Katrin Amunts
1
Hreinn StefĂĄnsson
1
Loes M. Olde Loohuis
1
Hilleke E. Hulshoff Pol
1
Neda Jahanshad
1
Stefan Johansson
1
Henry Brodaty
1
Alexis Beauchamp-ChĂątel
1
Roel A. Ophoff
1
Nicholas B. Blackburn
1
Peter R. Schofield
1
Allan F. McRae
1
TomĂĄĆĄ Paus
1
Kåri Stéfansson
1
Per Hoffmann
1
G. Bragi Walters
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
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PDF
Chat
BrainPrint: A discriminative characterization of brain morphology
2015
Christian Wachinger
Polina Golland
William S. Kremen
Bruce Fischl
Martin Reuter
2
+
PDF
Chat
The Fshape Framework for the Variability Analysis of Functional Shapes
2015
Benjamin Charlier
Nicolas Charon
Alain Trouvé
2
+
PDF
Chat
A unified framework for clustering and quantitative analysis of white matter fiber tracts
2007
Mahnaz Maddah
W. Eric L. Grimson
Simon K. Warfield
William M. Wells
2
+
The fshape framework for the variability analysis of functional shapes
2014
Benjamin Charlier
Nicolas Charon
Alain Trouvé
2
+
PDF
Chat
The Varifold Representation of Nonoriented Shapes for Diffeomorphic Registration
2013
Nicolas Charon
Alain Trouvé
2
+
PDF
Chat
Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers
2010
DemiĂĄn Wassermann
Luke Bloy
E.G. Kanterakis
Ragini Verma
Rachid Deriche
2
+
A framework to study the cortical folding patterns
2004
JeanâFrançois Mangin
Denis RiviĂšre
Arnaud Cachia
Ădouard Duchesnay
Yann Cointepas
Dimitri Papadopoulos Orfanos
Paola Scifo
Taku Ochiai
Françis Brunelle
Jean RĂ©gis
2
+
PDF
Chat
Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics
2014
Yan Jin
Yonggang Shi
Liang Zhan
Boris A. Gutman
Greig I. de Zubicaray
Katie L. McMahon
Margaret J. Wright
Arthur W. Toga
Paul M. Thompson
1
+
Regularization Paths for Generalized Linear Models via Coordinate Descent.
2010
Jerome H. Friedman
Trevor Hastie
Rob Tibshirani
1
+
PDF
Chat
Learning kernels from indefinite similarities
2009
Yihua Chen
Maya R. Gupta
Benjamin Recht
1
+
PDF
Chat
Tractography segmentation using a hierarchical Dirichlet processes mixture model
2010
Xiaogang Wang
W. Eric L. Grimson
CarlâFredrik Westin
1
+
A note on the group lasso and a sparse group lasso
2010
Jerome H. Friedman
Trevor Hastie
Robert Tibshirani
1
+
Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas
2007
Lauren J. OâDonnell
C.-F. Westin
1
+
Feature Discovery in Non-Metric Pairwise Data
2004
Julian Laub
KlausâRobert MĂŒller
1
+
Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas
2012
Pamela Guevara
Delphine Duclap
Cyril Poupon
Linda Marrakchi-Kacem
Pierre Fillard
Denis Le Bihan
Marion Leboyer
Josselin Houenou
JeanâFrançois Mangin
1
+
Gradient methods for minimizing composite objective function
2007
Yu. Nesterov
1
+
How are siblings similar? How similar are siblings? Large-scale imaging genetics using local image features
2016
Matthew Toews
William M. Wells
1
+
PDF
Chat
Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles
2016
Pietro Gori
Olivier Colliot
Linda Marrakchi-Kacem
Yulia Worbe
Fabrizio De Vico Fallani
Mario ChĂĄvez
Cyril Poupon
Andreas Hartmann
Nicholas Ayache
Stanley Durrleman
1
+
PDF
Chat
Comparison of distances for supervised segmentation of white matter tractography
2017
Emanuele Olivetti
Giulia BertĂČ
Pietro Gori
Nusrat Sharmin
Paolo Avesani
1
+
White Matter Fiber Segmentation Using Functional Varifolds
2017
Kuldeep Kumar
Pietro Gori
Benjamin Charlier
Stanley Durrleman
Olivier Colliot
Christian Desrosiers
1
+
Kernel methods in machine learning
2008
Thomas Hofmann
Bernhard Schölkopf
Alexander J. Smola
1
+
PDF
Chat
Persistence Barcodes Versus Kolmogorov Signatures: Detecting Modes of One-Dimensional Signals
2015
Ulrich Bauer
Axel Munk
Hannes Sieling
Max Wardetzky
1
+
A Statistical Model of White Matter Fiber Bundles Based on Currents
2009
Stanley Durrleman
Pierre Fillard
Xavier Pennec
Alain Trouvé
Nicholas Ayache
1
+
Regularization Paths for Generalized Linear Models via Coordinate Descent
2010
Jerome H. Friedman
Trevor Hastie
Robert Tibshirani
1
+
Application of neuroanatomical features to tractography clustering
2012
Qian Wang
PewâThian Yap
Guorong Wu
Dinggang Shen
1
+
PDF
Chat
A Prototype Representation to Approximate White Matter Bundles with Weighted Currents
2014
Pietro Gori
Olivier Colliot
Linda Marrakchi-Kacem
Yulia Worbe
Fabrizio De Vico Fallani
Mario ChĂĄvez
Sophie Lecomte
Cyril Poupon
Andreas Hartmann
Nicholas Ayache
1
+
PDF
Chat
White Matter Tract Clustering and Correspondence in Populations
2005
Lauren J. OâDonnell
CarlâFredrik Westin
1
+
Classification of Alzheimer's Disease from structural MRI using sparse logistic regression with optional spatial regularization
2011
A. Rao
Ying Lee
Achim Gass
Andreas U. Monsch
1
+
A hybrid approach to automatic clustering of white matter fibers
2009
Hai Li
Zhong Xue
Lei Guo
Tianming Liu
Jill V. Hunter
Stephen T.C. Wong
1
+
PDF
Chat
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease
2012
Jing Wan
Zhilin Zhang
Jingwen Yan
Taiyong Li
Bhaskar D. Rao
Shiaofen Fang
Sungeun Kim
Shannon L. Risacher
Andrew J. Saykin
Li Shen
1