| Neuroimaging findings in US government personnel with possible exposure to directional phenomena in Havana, Cuba R Verma, RL Swanson, D Parker, AAO Ismail, RT Shinohara, JA Alappatt, ... Jama 322 (4), 336-347, 2019 | 43 | 2019 |
| Music and emotion—a case for north indian classical music JM Valla, JA Alappatt, A Mathur, NC Singh Frontiers in psychology 8, 252964, 2017 | 39 | 2017 |
| Deviation from normative brain development is associated with symptom severity in autism spectrum disorder B Tunç, LD Yankowitz, D Parker, JA Alappatt, J Pandey, RT Schultz, ... Molecular autism 10, 1-14, 2019 | 34 | 2019 |
| QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images RV Zahra Riahi Samani, Jacob Antony Alappatt, Drew Parker, Abdol Aziz Ould ... Frontiers in Neuroscience, 2020 | 29 | 2020 |
| Connectomic consistency: a systematic stability analysis of structural and functional connectivity Y Osmanlıoğlu, JA Alappatt, D Parker, R Verma Journal of neural engineering 17 (4), 045004, 2020 | 20 | 2020 |
| Wired for musical rhythm? A diffusion MRI-based study of individual differences in music perception A Rajan, JM Valla, JA Alappatt, M Sharda, A Shah, M Ingalhalikar, ... Brain Structure and Function 224, 1711-1722, 2019 | 11 | 2019 |
| Free water volume fraction: An imaging biomarker to characterize moderate-to-severe traumatic brain injury AA Vijayakumari, D Parker, Y Osmanlioglu, JA Alappatt, J Whyte, ... Journal of Neurotrauma 38 (19), 2698-2705, 2021 | 9 | 2021 |
| A graph based similarity measure for assessing altered connectivity in traumatic brain injury Y Osmanlıoğlu, JA Alappatt, D Parker, J Kim, R Verma Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 7 | 2019 |
| Connectomic assessment of injury burden and longitudinal structural network alterations in moderate‐to‐severe traumatic brain injury Y Osmanlıoğlu, D Parker, JA Alappatt, JJ Gugger, RR Diaz‐Arrastia, ... Human brain mapping 43 (13), 3944-3957, 2022 | 6 | 2022 |
| Graph matching based connectomic biomarker with learning for brain disorders RS Shen, JA Alappatt, D Parker, J Kim, R Verma, Y Osmanlıoğlu Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | 6 | 2020 |
| NIMG-45. Deep learning-based peritumoral microstructure mapping in glioblastomas using free water volume fraction ZR Samani, D Parker, JA Alappatt, S Brem, R Verma Neuro-Oncology 22 (Suppl 2), ii157, 2020 | 2 | 2020 |
| NIMG-21. Differentiating tumor types based on the peritumoral microenvironment using convolutional neural networks ZR Samani, D Parker, JA Alappatt, S Brem, R Verma Neuro-Oncology 22 (Suppl 2), ii151, 2020 | 2 | 2020 |
| A graph representation and similarity measure for brain networks with nodal features Y Osmanlıoğlu, B Tunç, JA Alappatt, D Parker, J Kim, A Shokoufandeh, ... Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non …, 2018 | 2 | 2018 |
| Deep learning-based peritumoral microstructure mapping in glioblastomas using free water volume fraction ZR Samani, D Parker, JA Alappatt, S Brem, R Verma Neuro-Oncology 22, 158-158, 2020 | 1 | 2020 |
| Analysis of consistency in structural and functional connectivity of human brain Y Osmanlioğlu, JA Alappatt, D Parker, R Verma 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1694-1697, 2020 | 1 | 2020 |
| Free water elimination is necessary to characterize Diffuse Axonal Injury in moderate Traumatic Brain Injury J Alappatt, D Parker, AA Ould Ismail, J Kim, R Verma Abstract presented at ISMRM 27th Annual Meeting Exhibition, 2019 | 1 | 2019 |
| Connectomic Assessment of Structural Network Alterations and Injury Burden in Moderate-to-severe Traumatic Brain Injury Y Osmanlioglu, D Parker, J Alappatt, J Kim, R Verma BRAIN INJURY 36, 86-86, 2022 | | 2022 |
| Music and Emotion. A Case for North Indian Classical Music JM Valla, JA Alappatt, A Mathur, NC Singh Ausdruck in der Musik, 553-575, 2021 | | 2021 |
| Correction to: Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders RS Shen, JA Alappatt, D Parker, J Kim, R Verma, Y Osmanlıoğlu Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020 | | 2020 |
| QC-Aautomator: A deep learning based automated artifact detection in dMRI data ZR Samani, J Alappatt, P Drew, R Verma | | |
Ragini VermaDepartment of Radiology, University of PennsylvaniaVerified email at uphs.upenn.edu
