Tanya Schmah
Cited by
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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
Filtered noise can mimic low-dimensional chaotic attractors
PE Rapp, AM Albano, TI Schmah, LA Farwell
Physical review E 47 (4), 2289, 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
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
System and method for categorical analysis of time dependent dynamic processes
PE Rapp, CJ Cellucci, T Schmah
US Patent 7,117,108, 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
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
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
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
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
Complexity measures in molecular psychiatry.
PE Rapp, T Schmah
Molecular psychiatry 1 (5), 408-416, 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
Visualization of nonlinear classification models in neuroimaging
PM Rasmussen, T Schmah, KH Madsen, TE Lund, SC Strother, ...
Biosignals, 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
A cotangent bundle slice theorem
T Schmah
Differential Geometry and its Applications 25 (1), 101-124, 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
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
Relative equilibria in systems with configuration space isotropy
M Roberts, T Schmah, C Stoica
Journal of Geometry and Physics 56 (5), 762-779, 2006
Dynamical analysis in clinical practice
PE Rapp, TI Schmah
Chaos in brain?, 52-62, 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
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