Tanya Schmah

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Cristina StoicaProfessor, Wilfrid Laurier UniversityVerified email at wlu.ca
Stephen StrotherProfessor of medical biophysicsVerified email at research.baycrest.org
Steven L. SmallUniversity of Texas at DallasVerified email at utdallas.edu
Darryl D HolmProfessor of Mathematics, Imperial College LondonVerified email at ic.ac.uk
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Dongyang KuangUniversity of Texas at AustinVerified email at austin.utexas.edu
François-Xavier VialardProfessor, Université Gustave EiffelVerified email at u-pem.fr
Laurent RisserCNRS - Toulouse Mathematics Institute - Artificial and Natural Intelligence Toulouse InstituteVerified email at math.univ-toulouse.fr
Marc G. BermanAssociate Professor of Psychology and Cognitive Neuroscience, The University of ChicagoVerified email at uchicago.edu
Tom GeeVice President, Engineering, Indoc ResearchVerified email at indocresearch.org
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
Kristoffer Hougaard MadsenDanish Research for Magnetic Resonance, Copenhagen University Hospital HvidovreVerified email at drcmr.dk
Torben Ellegaard LundAssociate Professor, CFIN, Aarhus UniversityVerified email at cfin.au.dk
Richard Mark RobertsEmeritus Professor of Mathematics, University of SurreyVerified email at surrey.ac.uk
Jesper Skovhus ThomsenAarhus University, Deparment of BiomedicineVerified email at biomed.au.dk
D T StussUniversity of TorontoVerified email at stussassoc.ca
Anthony L VaccarinoIndoc Research, Toronto, CanadaVerified email at indocresearch.org
Kenneth EvansIndoc ResearchVerified email at indocresearch.org
Stefan SommerProfessor at University of CopenhagenVerified email at di.ku.dk

Tanya Schmah

University of Ottawa

Verified email at uottawa.ca - Homepage

Geometric mechanics Neuroimaging Statistical machine learning


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Geometric Mechanics and Symmetry: From Finite to Infinite Dimensions. Vol. 12 of Oxford Texts in Applied and Engineering Mathematics DD Holm, T Schmah, C Stoica Oxford University Press, 2009	409	2009
Filtered noise can mimic low-dimensional chaotic attractors PE Rapp, AM Albano, TI Schmah, LA Farwell Physical review E 47 (4), 2289, 1993	339	1993
Generative versus discriminative training of RBMs for classification of fMRI images T Schmah, GE Hinton, S Small, S Strother, R Zemel Advances in neural information processing systems 21, 2008	102	2008
Faim–a convnet method for unsupervised 3d medical image registration D Kuang, T Schmah Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019	75	2019
System and method for categorical analysis of time dependent dynamic processes PE Rapp, CJ Cellucci, T Schmah US Patent 7,117,108, 2006	60	2006
Comparing classification methods for longitudinal fMRI studies T Schmah, G Yourganov, RS Zemel, GE Hinton, SL Small, SC Strother Neural computation 22 (11), 2729-2762, 2010	49	2010
Surrogate data pathologies and the false-positive rejection of the null hypothesis PE Rapp, CJ Cellucci, TAA Watanabe, AM Albano, TI Schmah International Journal of Bifurcation and Chaos 11 (04), 983-997, 2001	45	2001
Models of knowing and the investigation of dynamical systems PE Rapp, TI Schmah, AI Mees Physica D: Nonlinear Phenomena 132 (1-2), 133-149, 1999	43	1999
Brain-CODE: a secure neuroinformatics platform for management, federation, sharing and analysis of multi-dimensional neuroscience data AL Vaccarino, M Dharsee, S Strother, D Aldridge, SR Arnott, B Behan, ... Frontiers in neuroinformatics 12, 28, 2018	35	2018
Pattern classification of fMRI data: applications for analysis of spatially distributed cortical networks G Yourganov, T Schmah, NW Churchill, MG Berman, CL Grady, ... Neuroimage 96, 117-132, 2014	31	2014
Complexity measures in molecular psychiatry. PE Rapp, T Schmah Molecular psychiatry 1 (5), 408-416, 1996	31	1996
Performance variability as a predictor of response to aphasia treatment ES Duncan, T Schmah, SL Small Neurorehabilitation and neural repair 30 (9), 876-882, 2016	30	2016
Visualization of nonlinear classification models in neuroimaging PM Rasmussen, T Schmah, KH Madsen, TE Lund, SC Strother, ... Biosignals, 2012	22	2012
Functional connectivity metrics during stroke recovery G Yourganov, T Schmah, SL Small, PM Rasmussen, SC Strother Archives italiennes de biologie 148 (3), 259-270, 2010	20	2010
A cotangent bundle slice theorem T Schmah Differential Geometry and its Applications 25 (1), 101-124, 2007	19	2007
Saari’s conjecture is true for generic vector fields T Schmah, C Stoica Transactions of the American Mathematical Society 359 (9), 4429-4448, 2007	19	2007
Left-invariant metrics for diffeomorphic image registration with spatially-varying regularisation T Schmah, L Risser, FX Vialard Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	17	2013
Relative equilibria in systems with configuration space isotropy M Roberts, T Schmah, C Stoica Journal of Geometry and Physics 56 (5), 762-779, 2006	14	2006
Dynamical analysis in clinical practice PE Rapp, TI Schmah Chaos in brain?, 52-62, 2000	11	2000
An overview of the quality assurance and quality control of magnetic resonance imaging data for the Ontario Neurodegenerative Disease Research Initiative (ONDRI): pipeline … CJM Scott, SR Arnott, A Chemparathy, F Dong, I Solovey, T Gee, ... BioRxiv, 2020.01. 10.896415, 2020	10	2020

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