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Faraz Faghri

Showing results (1-10 of 55) with videos related to

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Neurology. Genetics|May 2, 2019
Unraveling the genetic complexity of Alzheimer disease with Mendelian RandomizationSara Bandres-Ciga, Faraz Faghri
Patterns (New York, N.Y.)|April 21, 2021
Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2Faraz Faghri, Mike A Nalls
Patterns (New York, N.Y.)|June 9, 2025
SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputationBrandon Theodorou, Anant Dadu, Mike Nalls, et al.
Iscience|May 21, 2026
Realistic PET image synthesis from MRI for automated inference of brain atrophy and Alzheimer'sBrandon Theodorou, Anant Dadu, Brian Avants, et al.
Medrxiv : the Preprint Server for Health Sciences|May 2, 2025
MRI2PET: Realistic PET Image Synthesis from MRI for Automated Inference of Brain Atrophy and Alzheimer'sBrandon Theodorou, Anant Dadu, Brian Avants, et al.
Plos One|July 9, 2019
Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memoryYu-Wei Lin, Yuqian Zhou, Faraz Faghri, et al.
Journal of the Neurological Sciences|September 7, 2021
Longitudinal risk factors for developing depressive symptoms in Parkinson's diseaseTarek Antar, Huw R Morris, Faraz Faghri, et al.
Biorxiv : the Preprint Server for Biology|November 21, 2023
Federated Learning for multi-omics: a performance evaluation in Parkinson's diseaseBenjamin Danek, Mary B Makarious, Anant Dadu, et al.
Frontiers in Physiology|June 17, 2021
Proteomics and Epidemiological Models of Human AgingCeereena Ubaida-Mohien, Ruin Moaddel, Ann Zenobia Moore, et al.
Arxiv|October 1, 2025
Lost in the Haystack: Smaller Needles are More Difficult for LLMs to FindOwen Bianchi, Mathew J Koretsky, Maya Willey, et al.
Pageof 6

Showing results (1-10 of 55) with videos related to

Sort By:
Pageof 6
Neurology. Genetics|May 2, 2019
Unraveling the genetic complexity of Alzheimer disease with Mendelian RandomizationSara Bandres-Ciga, Faraz Faghri
Patterns (New York, N.Y.)|April 21, 2021
Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2Faraz Faghri, Mike A Nalls
Patterns (New York, N.Y.)|June 9, 2025
SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputationBrandon Theodorou, Anant Dadu, Mike Nalls, et al.
Iscience|May 21, 2026
Realistic PET image synthesis from MRI for automated inference of brain atrophy and Alzheimer'sBrandon Theodorou, Anant Dadu, Brian Avants, et al.
Medrxiv : the Preprint Server for Health Sciences|May 2, 2025
MRI2PET: Realistic PET Image Synthesis from MRI for Automated Inference of Brain Atrophy and Alzheimer'sBrandon Theodorou, Anant Dadu, Brian Avants, et al.
Plos One|July 9, 2019
Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memoryYu-Wei Lin, Yuqian Zhou, Faraz Faghri, et al.
Journal of the Neurological Sciences|September 7, 2021
Longitudinal risk factors for developing depressive symptoms in Parkinson's diseaseTarek Antar, Huw R Morris, Faraz Faghri, et al.
Biorxiv : the Preprint Server for Biology|November 21, 2023
Federated Learning for multi-omics: a performance evaluation in Parkinson's diseaseBenjamin Danek, Mary B Makarious, Anant Dadu, et al.
Frontiers in Physiology|June 17, 2021
Proteomics and Epidemiological Models of Human AgingCeereena Ubaida-Mohien, Ruin Moaddel, Ann Zenobia Moore, et al.
Arxiv|October 1, 2025
Lost in the Haystack: Smaller Needles are More Difficult for LLMs to FindOwen Bianchi, Mathew J Koretsky, Maya Willey, et al.
Pageof 6