Tanmay Nath
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Using DeepLabCut for 3D markerless pose estimation across species and behaviors.
T Nath*, A Mathis*, AC Chen, A Patel, M Bethge, MW Mathis
Nature Protocols 14 (7), 2152-2176, 2019
Multi-animal pose estimation, identification and tracking with DeepLabCut
J Lauer, M Zhou, S Ye, W Menegas, S Schneider, T Nath, MM Rahman, ...
Nature Methods 19 (4), 496-504, 2022
Association of White Matter Structure With Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder
Y Aoki, YN Yoncheva, B Chen, T Nath, D Sharp, M Lazar, P Velasco, ...
JAMA Psychiatry, 2017
Multi-animal pose estimation and tracking with DeepLabCut
J Lauer, M Zhou, S Ye, W Menegas, T Nath, MM Rahman, V Di Santo, ...
BioRxiv, 2021.04. 30.442096, 2021
An Chi Chen, Amir Patel, Matthias Bethge, and Mackenzie Weygandt Mathis. Using deeplabcut for 3d markerless pose estimation across species and behaviors
T Nath
Nature protocols 14 (7), 2152-2176, 2019
Network-specific sex differentiation of intrinsic brain function in males with autism
DL Floris, MC Lai, T Nath, MP Milham, AD Martino
Molecular Autism, 2018
Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine
S Saxena, B Jena, N Gupta, S Das, D Sarmah, P Bhattacharya, T Nath, ...
Cancers 14 (12), 2860, 2022
Brains of verbal memory specialists show anatomical differences in language, memory and visual systems
JF Hartzell, B Davis, D Melcher, G Miceli, J Jovicich, T Nath, NC Singh, ...
NeuroImage 131, 181-192, 2016
A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila
G Liu*, T Nath*, GA Linneweber, A Claeys, Z Guo, J Li, M Bengoche, ...
PLOS Computational Biology 14 (8), e1006410, 2018
Artificial intelligence and body composition
P Santhanam, T Nath, C Peng, H Bai, H Zhang, RS Ahima, R Chellappa
Diabetes & Metabolic Syndrome: Clinical Research & Reviews 17 (3), 102732, 2023
Artificial Intelligence May Offer Insight Into Factors Determining Individual TSH Level
P Santhanam*, T Nath*, FM Khan*, RS Ahima
PLoS One, 2020
Tracking for Quantifying Social Network of Drosophila Melanogaster
T Nath, G Liu, B Weyn, B Hassan, S De Backer, P Scheunders
Computer Analysis of Images and Patterns 8048, 539-545, 2013
A machine learning based approach towards high-dimensional mediation analysis
T Nath, B Caffo, T Wager, MA Lindquist
NeuroImage 268, 119843, 2023
Machine learning approach to predicting albuminuria in persons with type 2 diabetes: An analysis of the LOOK AHEAD Cohort
Z Khitan, T Nath, P Santhanam
The Journal of Clinical Hypertension 23 (12), 2137-2145, 2021
Body fat predicts exercise capacity in persons with Type 2 Diabetes Mellitus: A machine learning approach
T Nath, RS Ahima, P Santhanam
Plos one 16 (3), e0248039, 2021
DXA measured body composition predicts blood pressure using machine learning methods
T Nath, RS Ahima, P Santhanam
The Journal of Clinical Hypertension 22 (6), 1098, 2020
Real-time quantitation of thyroidal radioiodine uptake in thyroid disease with monitoring by a collar detection device
P Santhanam, L Solnes, T Nath, JP Roussin, D Gray, E Frey, G Sgouros, ...
Nature 11 (1), 1-9, 2021
Machine learning applications in medical image processing
T Nath, MA Lindquist
High-Performance Medical Image Processing, 95-129, 2022
Relationship between TSH levels and cognition in the young adult: An analysis of the Human Connectome Project Data
P Santhanam, T Nath, MA Lindquist, DS Cooper
The Journal of Clinical Endocrinology & Metabolism 107 (7), 1897-1905, 2022
Automated Social Behaviour Recognition At Low Resolution
T Nath, G Liu, B Weyn, S De Backer, B Hassan, P Scheunders
22nd International Conference on Pattern Recognition (ICPR), 2014, 2323 - 2328, 2014
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