Publications

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Author Title [ Type(Desc)] Year
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Journal Article
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.
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.
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.
Talpalaru A, Bhagwat N, Devenyi GA, Lepage M, M Chakravarty M.  2019.  Identifying schizophrenia subgroups using clustering and supervised learning.. Schizophr Res.
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.
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.