Nikhlil Bhagwat

Affiliations: 
The Allen Institute for Brain Science 
Google:
"Nikhlil Bhagwat"
Mean distance: (not calculated yet)
 
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Bhagwat N, Barry A, Dickie EW, et al. (2021) Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses. Gigascience. 10
Overton DJ, Bhagwat N, Viviano JD, et al. (2020) Identifying psychosis spectrum youth using support vector machines and cerebral blood perfusion as measured by arterial spin labeled fMRI. Neuroimage. Clinical. 27: 102304
Talpalaru A, Bhagwat N, Devenyi GA, et al. (2019) Identifying schizophrenia subgroups using clustering and supervised learning. Schizophrenia Research
Bhagwat N, Pipitone J, Voineskos AN, et al. (2019) An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures Journal of Psychiatry & Neuroscience : Jpn. 44: 1-15
Bhagwat N, Viviano JD, Voineskos AN, et al. (2018) Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data. Plos Computational Biology. 14: e1006376
Winterburn JL, Voineskos AN, Devenyi GA, et al. (2017) 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
Hettige NC, Nguyen TB, Yuan C, et al. (2017) Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach. General Hospital Psychiatry. 47: 20-28
Sankar T, Park MT, Jawa T, et al. (2017) Your algorithm might think the hippocampus grows in Alzheimer's disease: Caveats of longitudinal automated hippocampal volumetry. Human Brain Mapping
Makowski C, Béland S, Kostopoulos P, et al. (2017) Evaluating Accuracy of Striatal, Pallidal, and Thalamic Segmentation Methods: Comparing Automated Approaches to Manual Delineation. Neuroimage
Bhagwat N, Pipitone J, Winterburn JL, et al. (2016) Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion. Frontiers in Neuroscience. 10: 325
See more...