| Sex differences in the structural connectome of the human brain M Ingalhalikar, A Smith, D Parker, TD Satterthwaite, MA Elliott, K Ruparel, ... Proceedings of the National Academy of Sciences 111 (2), 823-828, 2014 | 1616 | 2014 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 234 | 2022 |
| Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI S Shinde, S Prasad, Y Saboo, R Kaushick, J Saini, PK Pal, M Ingalhalikar NeuroImage: Clinical 22, 101748, 2019 | 192 | 2019 |
| Diffusion based abnormality markers of pathology: toward learned diagnostic prediction of ASD M Ingalhalikar, D Parker, L Bloy, TPL Roberts, R Verma Neuroimage 57 (3), 918-927, 2011 | 145 | 2011 |
| Functional connectivity-based prediction of autism on site harmonized ABIDE dataset M Ingalhalikar, S Shinde, A Karmarkar, A Rajan, D Rangaprakash, ... IEEE Transactions on Biomedical Engineering 68 (12), 3628-3637, 2021 | 83 | 2021 |
| DTI based diagnostic prediction of a disease via pattern classification M Ingalhalikar, S Kanterakis, R Gur, TPL Roberts, R Verma Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 73 | 2010 |
| A review of radiomics and deep predictive modeling in glioma characterization S Gore, T Chougule, J Jagtap, J Saini, M Ingalhalikar Academic radiology 28 (11), 1599-1621, 2021 | 69 | 2021 |
| Disrupted structural connectome is associated with both psychometric and real-world neuropsychological impairment in diffuse traumatic brain injury J Kim, D Parker, J Whyte, T Hart, J Pluta, M Ingalhalikar, HB Coslett, ... Journal of the International Neuropsychological Society 20 (9), 887-896, 2014 | 69 | 2014 |
| Hippocampal volume deficits and shape deformities in young biological relatives of schizophrenia probands BC Ho, V Magnotta Neuroimage 49 (4), 3385-3393, 2010 | 65 | 2010 |
| Hippocampal subfield atrophy in patients with Parkinson’s disease and psychosis A Lenka, M Ingalhalikar, A Shah, J Saini, SS Arumugham, S Hegde, ... Journal of Neural Transmission 125, 1361-1372, 2018 | 48 | 2018 |
| Abnormalities of white and grey matter in early multiple system atrophy: comparison of parkinsonian and cerebellar variants SK Dash, A Stezin, T Takalkar, L George, NL Kamble, M Netravathi, ... European Radiology 29, 716-724, 2019 | 43 | 2019 |
| Individualized map of white matter pathways: connectivity-based paradigm for neurosurgical planning B Tunç, M Ingalhalikar, D Parker, J Lecoeur, N Singh, RL Wolf, ... Neurosurgery 79 (4), 568-577, 2016 | 43 | 2016 |
| Automated tract extraction via atlas based adaptive clustering B Tunç, WA Parker, M Ingalhalikar, R Verma Neuroimage 102, 596-607, 2014 | 42 | 2014 |
| Abnormalities in the white matter tracts in patients with Parkinson disease and psychosis A Lenka, M Ingalhalikar, A Shah, J Saini, SS Arumugham, S Hegde, ... Neurology 94 (18), e1876-e1884, 2020 | 39 | 2020 |
| Microstructural abnormalities of substantia nigra in Parkinson's disease: A neuromelanin sensitive MRI atlas based study A Safai, S Prasad, T Chougule, J Saini, PK Pal, M Ingalhalikar Human Brain Mapping 41 (5), 1323-1333, 2020 | 35 | 2020 |
| Creating multimodal predictors using missing data: classifying and subtyping autism spectrum disorder M Ingalhalikar, WA Parker, L Bloy, TPL Roberts, R Verma Journal of neuroscience methods 235, 1-9, 2014 | 34 | 2014 |
| Altered brain wiring in Parkinson's disease: a structural connectome-based analysis A Shah, A Lenka, J Saini, S Wagle, RM Naduthota, R Yadav, PK Pal, ... Brain connectivity 7 (6), 347-356, 2017 | 33 | 2017 |
| Radiomics on routine T1-weighted MRI can delineate Parkinson’s disease from multiple system atrophy and progressive supranuclear palsy P Tupe-Waghmare, A Rajan, S Prasad, J Saini, PK Pal, M Ingalhalikar European radiology 31 (11), 8218-8227, 2021 | 28 | 2021 |
| Atrophy of cerebellar peduncles in essential tremor: a machine learning–based volumetric analysis S Prasad, U Pandey, J Saini, M Ingalhalikar, PK Pal European radiology 29, 7037-7046, 2019 | 26 | 2019 |
| Connectome and maturation profiles of the developing mouse brain using diffusion tensor imaging M Ingalhalikar, D Parker, Y Ghanbari, A Smith, K Hua, S Mori, T Abel, ... Cerebral cortex 25 (9), 2696-2706, 2015 | 24 | 2015 |
jitender sainiNational Institute for Mental Health and Neuroscience, Bangalore, IndiaVerified email at nimhans.ac.in