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Nikhil N Chaudhari

Showing results (1-10 of 21) with videos related to

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Geroscience|August 4, 2020
Acute cognitive deficits after traumatic brain injury predict Alzheimer's disease-like degradation of the human default mode networkAndrei Irimia, Alexander S Maher, Nikhil N Chaudhari, et al.
Neuroinformatics|November 6, 2024
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain InjuryKevin H Guo, Nikhil N Chaudhari, Tamara Jafar, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|December 16, 2023
Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networksPhoebe Imms, Nahian F Chowdhury, Nikhil N Chaudhari, et al.
Geroscience|August 17, 2024
Neuroanatomical and clinical factors predicting future cognitive impairmentPhoebe Imms, Nikhil N Chaudhari, Nahian F Chowdhury, et al.
Geroscience|April 15, 2026
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNikhil N Chaudhari, Owen M Vega, Phoebe Imms, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 24, 2025
Deep learning to quantify the pace of brain aging in relation to neurocognitive changesChenzhong Yin, Phoebe Imms, Nahian F Chowdhury, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|October 2, 2022
Regional Neuroanatomic Effects on Brain Age Inferred Using Magnetic Resonance Imaging and Ridge RegressionRoy J Massett, Alexander S Maher, Phoebe E Imms, et al.
Journal of Neurotrauma|March 14, 2024
Identification and Connectomic Profiling of Concussion Using Bayesian Machine LearningBenjamin J Hacker, Phoebe E Imms, Ammar M Dharani, et al.
Arxiv|February 6, 2026
Graph Neural Network Reveals the Local Cortical Morphology of Brain Aging in Normal Cognition and Alzheimers DiseaseSamuel D Anderson, Nikhil N Chaudhari, Nahian F Chowdhury, et al.
Geroscience|March 4, 2026
Women's reproductive factors predict local brain aging profiles mapped using deep neural networksRachel Fox, Nikhil N Chaudhari, Samayan Bhattacharya, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Geroscience|August 4, 2020
Acute cognitive deficits after traumatic brain injury predict Alzheimer's disease-like degradation of the human default mode networkAndrei Irimia, Alexander S Maher, Nikhil N Chaudhari, et al.
Neuroinformatics|November 6, 2024
Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain InjuryKevin H Guo, Nikhil N Chaudhari, Tamara Jafar, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|December 16, 2023
Prediction of cognitive outcome after mild traumatic brain injury from acute measures of communication within brain networksPhoebe Imms, Nahian F Chowdhury, Nikhil N Chaudhari, et al.
Geroscience|August 17, 2024
Neuroanatomical and clinical factors predicting future cognitive impairmentPhoebe Imms, Nikhil N Chaudhari, Nahian F Chowdhury, et al.
Geroscience|April 15, 2026
Interpretable deep learning reveals spatiotemporal MRI features of brain aging that align with neurodegenerationNikhil N Chaudhari, Owen M Vega, Phoebe Imms, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 24, 2025
Deep learning to quantify the pace of brain aging in relation to neurocognitive changesChenzhong Yin, Phoebe Imms, Nahian F Chowdhury, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|October 2, 2022
Regional Neuroanatomic Effects on Brain Age Inferred Using Magnetic Resonance Imaging and Ridge RegressionRoy J Massett, Alexander S Maher, Phoebe E Imms, et al.
Journal of Neurotrauma|March 14, 2024
Identification and Connectomic Profiling of Concussion Using Bayesian Machine LearningBenjamin J Hacker, Phoebe E Imms, Ammar M Dharani, et al.
Arxiv|February 6, 2026
Graph Neural Network Reveals the Local Cortical Morphology of Brain Aging in Normal Cognition and Alzheimers DiseaseSamuel D Anderson, Nikhil N Chaudhari, Nahian F Chowdhury, et al.
Geroscience|March 4, 2026
Women's reproductive factors predict local brain aging profiles mapped using deep neural networksRachel Fox, Nikhil N Chaudhari, Samayan Bhattacharya, et al.
Pageof 3