 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Tuhin Virmani and Fred Prior.
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Connection Strength |
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2.855 |
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Virmani T, Pillai L, Smith V, Glover A, Abrams D, Farmer P, Syed S, Spencer HJ, Kemp A, Barron K, Murray T, Morris B, Bowers B, Ward A, Imus T, Larson-Prior LJ, Lotia M, Prior F. Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson's disease. J Clin Transl Sci. 2024; 8(1):e63.
Score: 0.916
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Virmani T, Lotia M, Glover A, Pillai L, Kemp AS, Iyer A, Farmer P, Syed S, Larson-Prior LJ, Prior FW. Feasibility of telemedicine research visits in people with Parkinson's disease residing in medically underserved areas. J Clin Transl Sci. 2022; 6(1):e133.
Score: 0.823
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Rahmatallah Y, Kemp AS, Iyer A, Pillai L, Larson-Prior LJ, Virmani T, Prior F. Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples. Sci Rep. 2025 Mar 01; 15(1):7337.
Score: 0.244
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Rahmatallah Y, Kemp A, Iyer A, Pillai L, Larson-Prior L, Virmani T, Prior F. Pre-trained Convolutional Neural Networks Identify Parkinson's Disease from Spectrogram Images of Voice Samples. Res Sq. 2024 Dec 18.
Score: 0.241
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Iyer A, Kemp A, Rahmatallah Y, Pillai L, Glover A, Prior F, Larson-Prior L, Virmani T. A machine learning method to process voice samples for identification of Parkinson's disease. Sci Rep. 2023 11 23; 13(1):20615.
Score: 0.224
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Virmani T, Landes RD, Pillai L, Glover A, Larson-Prior L, Prior F, Factor SA. Gait Declines Differentially in, and Improves Prediction of, People with Parkinson's Disease Converting to a Freezing of Gait Phenotype. J Parkinsons Dis. 2023; 13(6):961-973.
Score: 0.210
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Bona J, Kemp AS, Cox C, Nolan TS, Pillai L, Das A, Galvin JE, Larson-Prior L, Virmani T, Prior F. Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES). Front Artif Intell. 2021; 4:649970.
Score: 0.198
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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