Tanya Schmah

Publication Activity (10 Years)

Years Active: 2001-2021
Publications (10 Years): 7

Top Topics

Classification Models

Medical Image Registration

Bilateral Symmetry

Machine Translation

Top Venues

Frontiers Neuroinformatics

Publications

Aditya Ohri, Tanya Schmah
Machine Translation of Mathematical Text. IEEE Access 9 (2021)
Kevin Raina, Uladzimir Yahorau, Tanya Schmah
Exploiting Bilateral Symmetry in Brain Lesion Segmentation with Reflective Registration. BIOIMAGING (2020)
Aditya Ohri, Tanya Schmah
Machine Translation of Mathematical Text. CoRR (2020)
Dongyang Kuang, Tanya Schmah
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration. MLMI@MICCAI (2019)
Kevin Raina, Uladzimir Yahorau, Tanya Schmah
Exploiting bilateral symmetry in brain lesion segmentation. CoRR (2019)
Dongyang Kuang, Tanya Schmah
FAIM - A ConvNet Method for Unsupervised 3D Medical Image Registration. CoRR (2018)
Anthony L. Vaccarino, Moyez Dharsee, Stephen C. Strother, Don Aldridge, Stephen R. Arnott, Brendan Behan, Costas Dafnas, Fan Dong, Kenneth Edgecombe, Rachad El-Badrawi, Khaled El Emam, Tom Gee, Susan G. Evans, Mojib Javadi, Francis Jeanson, Shannon Lefaivre, Kristen Lutz, F. Chris MacPhee, Jordan Mikkelsen, Tom Mikkelsen, Nicholas Mirotchnick, Tanya Schmah, Christa M. Studzinski, Donald T. Stuss, Elizabeth Theriault, Kenneth R. Evans
Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data. Frontiers Neuroinformatics 12 (2018)
Grigori Yourganov, Tanya Schmah, Nathan William Churchill, Marc G. Berman, Cheryl L. Grady, Stephen C. Strother
Pattern classification of fMRI data: Applications for analysis of spatially distributed cortical networks. NeuroImage 96 (2014)
Tanya Schmah, Laurent Risser, François-Xavier Vialard
Left-Invariant Metrics for Diffeomorphic Image Registration with Spatially-Varying Regularisation. MICCAI (1) (2013)
Peter Mondrup Rasmussen, Tanya Schmah, Kristoffer Hougaard Madsen, Torben Ellegaard Lund, Grigori Yourganov, Stephen C. Strother, Lars Kai Hansen
Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps. BIOSIGNALS (2012)
Tanya Schmah, Grigori Yourganov, Richard S. Zemel, Geoffrey E. Hinton, Steven L. Small, Stephen C. Strother
Comparing Classification Methods for Longitudinal fMRI Studies. Neural Comput. 22 (11) (2010)
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel, Steven L. Small, Stephen C. Strother
Generative versus discriminative training of RBMs for classification of fMRI images. NIPS (2008)
P. E. Rapp, Christopher J. Cellucci, T. A. A. Watanabe, A. M. Albano, Tanya Schmah
Surrogate Data Pathologies and the False-positive rejection of the Null Hypothesis. Int. J. Bifurc. Chaos 11 (4) (2001)