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 | 455 | 2009 |
Filtered noise can mimic low-dimensional chaotic attractors PE Rapp, AM Albano, TI Schmah, LA Farwell Physical review E 47 (4), 2289, 1993 | 342 | 1993 |
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 | 111 | 2019 |
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 | 108 | 2008 |
System and method for categorical analysis of time dependent dynamic processes PE Rapp, CJ Cellucci, T Schmah US Patent 7,117,108, 2006 | 68 | 2006 |
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 | 57 | 2018 |
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 | 53 | 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 | 42 | 1999 |
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 | 35 | 2016 |
Complexity measures in molecular psychiatry. PE Rapp, T Schmah Molecular psychiatry 1 (5), 408-416, 1996 | 32 | 1996 |
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 |
Visualization of nonlinear classification models in neuroimaging-signed sensitivity maps PM Rasmussen, T Schmah, KH Madsen, TE Lund, G Yourganov, ... BIOSIGNALS 2012, 254-263, 2012 | 26 | 2012 |
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 | 20 | 2013 |
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 | 18 | 2007 |
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 | 14 | 2020 |
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 |
Machine translation of mathematical text A Ohri, T Schmah IEEE Access 9, 38078-38086, 2021 | 11 | 2021 |