Detalhe da pesquisa
1.
Deep multimodal predictome for studying mental disorders.
Hum Brain Mapp
; 44(2): 509-522, 2023 02 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36574598
2.
Statelets: Capturing recurrent transient variations in dynamic functional network connectivity.
Hum Brain Mapp
; 43(8): 2503-2518, 2022 06 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35274791
3.
A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age.
Brain Connect
; 14(2): 130-140, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-38308475
4.
Tri-Clustering Dynamic Functional Network Connectivity Identifies Significant Schizophrenia Effects Across Multiple States in Distinct Subgroups of Individuals.
Brain Connect
; 12(1): 61-73, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34049447
5.
Shared sets of correlated polygenic risk scores and voxel-wise grey matter across multiple traits identified via bi-clustering.
Annu Int Conf IEEE Eng Med Biol Soc
; 2021: 2201-2206, 2021 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34891724
6.
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.
Annu Int Conf IEEE Eng Med Biol Soc
; 2021: 3267-3272, 2021 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34891938
7.
NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders.
Neuroimage Clin
; 28: 102375, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32961402
8.
N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia.
IEEE Trans Biomed Eng
; 67(1): 110-121, 2020 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30946659
9.
Epidemiological predictors of metabolic syndrome in urban West Bengal, India.
J Family Med Prim Care
; 4(4): 535-8, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26985412