Publications

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Journal Article
Sankar T, Park MTae M, Jawa T, Patel R, Bhagwat N, Voineskos AN, Lozano AM, M Chakravarty M.  2017.  Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry.. Hum Brain Mapp. 38(6):2875-2896.
Bhagwat N, Pipitone J, Winterburn JL, Guo T, Duerden EG, Voineskos AN, Lepage M, Miller SP, Pruessner JC, M Chakravarty M.  2016.  Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion.. Front Neurosci. 10:325.
Talpalaru A, Bhagwat N, Devenyi GA, Lepage M, M Chakravarty M.  2019.  Identifying schizophrenia subgroups using clustering and supervised learning.. Schizophr Res.
Makowski C, Béland S, Kostopoulos P, Bhagwat N, Devenyi GA, Malla A, Joober R, Lepage M, M Chakravarty M.  2017.  Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation.. Neuroimage.
Hettige NC, Nguyen TBinh, Yuan C, Rajakulendran T, Baddour J, Bhagwat N, Bani-Fatemi A, Voineskos AN, M Chakravarty M, De Luca V.  2017.  Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach.. Gen Hosp Psychiatry. 47:20-28.
Winterburn JL, Voineskos AN, Devenyi GA, Plitman E, de la Fuente-Sandoval C, Bhagwat N, Graff-Guerrero A, Knight J, M Chakravarty M.  2017.  Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study. Schizophr Res.