| 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 | 822 | 2014 |
| 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 | 101 | 2011 |
| DTI based diagnostic prediction of a disease via pattern classification M Ingalhalikar, S Kanterakis, R Gur, TPL Roberts, R Verma International Conference on Medical Image Computing and Computer-Assisted …, 2010 | 58 | 2010 |
| Hippocampal volume deficits and shape deformities in young biological relatives of schizophrenia probands BC Ho, V Magnotta Neuroimage 49 (4), 3385-3393, 2010 | 45 | 2010 |
| 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 | 36 | 2014 |
| Automated tract extraction via atlas based adaptive clustering B Tunç, WA Parker, M Ingalhalikar, R Verma Neuroimage 102, 596-607, 2014 | 28 | 2014 |
| 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 | 22 | 2014 |
| 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 | 19 | 2016 |
| 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 | 17 | 2015 |
| DTI‐DROID: Diffusion tensor imaging‐deformable registration using orientation and intensity descriptors M Ingalhalikar, J Yang, C Davatzikos, R Verma International Journal of Imaging Systems and Technology 20 (2), 99-107, 2010 | 17 | 2010 |
| 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 | 16 | 2017 |
| HARDI based pattern classifiers for the identification of white matter pathologies L Bloy, M Ingalhalikar, H Eavani, TPL Roberts, RT Schultz, R Verma International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 16 | 2011 |
| Using multiparametric data with missing features for learning patterns of pathology M Ingalhalikar, WA Parker, L Bloy, TPL Roberts, R Verma International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 15 | 2012 |
| White matter atlas generation using HARDI based automated parcellation L Bloy, M Ingalhalikar, H Eavani, RT Schultz, TPL Roberts, R Verma NeuroImage 59 (4), 4055-4063, 2012 | 14 | 2012 |
| An Integrated Framework for High Angular Resolution Diffusion Imaging–Based Investigation of Structural Connectivity L Bloy, M Ingalhalikar, NK Batmanghelich, RT Schultz, TPL Roberts, ... Brain connectivity 2 (2), 69-79, 2012 | 12 | 2012 |
| 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 (2), 716-724, 2019 | 11 | 2019 |
| 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 (9), 1361-1372, 2018 | 9 | 2018 |
| Reply to Joel and Tarrasch: On misreading and shooting the messenger M Ingalhalikar, A Smith, D Parker, TD Satterthwaite, MA Elliott, K Ruparel, ... Proceedings of the National Academy of Sciences 111 (6), E638-E638, 2014 | 8 | 2014 |
| 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 | 7 | 2019 |
| Identifying sub-populations via unsupervised cluster analysis on multi-edge similarity graphs M Ingalhalikar, AR Smith, L Bloy, R Gur, TPL Roberts, R Verma International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 7 | 2012 |
Ragini VermaDepartment of Radiology, University of PennsylvaniaVerified email at uphs.upenn.edu
