| Year |
Citation |
Score |
| 2021 |
Bhagwat N, Barry A, Dickie EW, Brown ST, Devenyi GA, Hatano K, DuPre E, Dagher A, Chakravarty M, Greenwood CMT, Misic B, Kennedy DN, Poline JB. Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses. Gigascience. 10. PMID 33481004 DOI: 10.1093/gigascience/giaa155 |
0.462 |
|
| 2019 |
Talpalaru A, Bhagwat N, Devenyi GA, Lepage M, Chakravarty MM. Identifying schizophrenia subgroups using clustering and supervised learning. Schizophrenia Research. PMID 31455518 DOI: 10.1016/J.Schres.2019.05.044 |
0.446 |
|
| 2019 |
Bhagwat N, Pipitone J, Voineskos AN, Chakravarty MM. An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures Journal of Psychiatry & Neuroscience : Jpn. 44: 1-15. PMID 30720260 DOI: 10.1503/jpn.180016 |
0.486 |
|
| 2018 |
Bhagwat N, Viviano JD, Voineskos AN, Chakravarty MM. Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data. Plos Computational Biology. 14: e1006376. PMID 30216352 DOI: 10.1371/journal.pcbi.1006376 |
0.521 |
|
| 2017 |
Winterburn JL, Voineskos AN, Devenyi GA, Plitman E, de la Fuente-Sandoval C, Bhagwat N, Graff-Guerrero A, Knight J, Chakravarty MM. Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study. Schizophrenia Research. PMID 29274736 DOI: 10.1016/j.schres.2017.11.038 |
0.46 |
|
| 2017 |
Sankar T, Park MT, Jawa T, Patel R, Bhagwat N, Voineskos AN, Lozano AM, Chakravarty MM. Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry. Human Brain Mapping. PMID 28295799 DOI: 10.1002/hbm.23559 |
0.511 |
|
| 2017 |
Makowski C, Béland S, Kostopoulos P, Bhagwat N, Devenyi GA, Malla AK, Joober R, Lepage M, Chakravarty MM. Evaluating Accuracy of Striatal, Pallidal, and Thalamic Segmentation Methods: Comparing Automated Approaches to Manual Delineation. Neuroimage. PMID 28259781 DOI: 10.1016/J.Neuroimage.2017.02.069 |
0.466 |
|
| 2016 |
Bhagwat N, Pipitone J, Winterburn JL, Guo T, Duerden EG, Voineskos AN, Lepage M, Miller SP, Pruessner JC, Chakravarty MM. Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion. Frontiers in Neuroscience. 10: 325. PMID 27486386 DOI: 10.3389/Fnins.2016.00325 |
0.512 |
|
| 2016 |
Chakravarty M, Amaral RS, Bhagwat N, Patel R, Garza-Villarreal E, Devenyi G, Tae M Park M. F4-04-02: Interpreting Disease Heterogeneity in Alzheimer's and Parkinson's Disease Alzheimer's & Dementia. 12: P327-P328. DOI: 10.1016/J.Jalz.2016.06.601 |
0.431 |
|
| 2016 |
Bhagwat N, Pipitone J, Park MTM, Voineskos AN, Chakravarty M. P4-210: Neural-Net Model for Predicting Clinical Symptom Scores in Alzheimer's Disease Alzheimer's & Dementia. 12: P1105-P1106. DOI: 10.1016/J.Jalz.2016.06.2302 |
0.463 |
|
| 2015 |
Bhagwat N, Pipitone J, Voineskos AN, Pruessner J, Chakravarty MM. Improving multi-atlas segmentation accuracy by leveraging local neighborhood information during label-fusion Proceedings - International Symposium On Biomedical Imaging. 2015: 617-620. DOI: 10.1109/ISBI.2015.7163949 |
0.408 |
|
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