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Derek B Archer

Showing results (61-70 of 91) with videos related to

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Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|January 8, 2026
Characterizing amyloid and tau positron emission tomography-based stages across the clinical continuumKarly A Cody, Andrzej Sokołowski, Emily Johns, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine LearningChristopher Patterson, Tamoghna Chattopadhyay, Sophia I Thomopoulos, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 24, 2025
Clinical ManifestationsLeslie S Gaynor, Alaina Durant, Shubhabrata Mukherjee, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 23, 2025
Alzheimer's Imaging ConsortiumLeslie S Gaynor, Alaina Durant, Shubhabrata Mukherjee, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Tractography from T1-weighted MRI: Empirically exploring the clinical viability of streamline propagation without diffusion MRILeon Y Cai, Ho Hin Lee, Graham W Johnson, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 13, 2025
APOE, ABCA7, and RASGEF1C are associated with earlier onset of amyloid deposition from more than 4000 harmonized positron emission tomography imagesTonnar Castellano, Ting Chen Wang, Emma Nolan, et al.
The Lancet. Digital Health|December 16, 2020
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning studyDerek B Archer, Justin T Bricker, Winston T Chu, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Brain age identification from diffusion MRI synergistically predicts neurodegenerative diseaseChenyu Gao, Michael E Kim, Karthik Ramadass, et al.
The Lancet. Digital Health|April 8, 2020
Development and Validation of the Automated Imaging Differentiation in Parkinsonism (AID-P): A Multi-Site Machine Learning StudyDerek B Archer, Justin T Bricker, Winston T Chu, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 24, 2025
Basic Science and PathogenesisAlex G Contreras, Skylar Walters, Jaclyn M Eissman, et al.
Pageof 10

Showing results (61-70 of 91) with videos related to

Sort By:
Pageof 10
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|January 8, 2026
Characterizing amyloid and tau positron emission tomography-based stages across the clinical continuumKarly A Cody, Andrzej Sokołowski, Emily Johns, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine LearningChristopher Patterson, Tamoghna Chattopadhyay, Sophia I Thomopoulos, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 24, 2025
Clinical ManifestationsLeslie S Gaynor, Alaina Durant, Shubhabrata Mukherjee, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 23, 2025
Alzheimer's Imaging ConsortiumLeslie S Gaynor, Alaina Durant, Shubhabrata Mukherjee, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Tractography from T1-weighted MRI: Empirically exploring the clinical viability of streamline propagation without diffusion MRILeon Y Cai, Ho Hin Lee, Graham W Johnson, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 13, 2025
APOE, ABCA7, and RASGEF1C are associated with earlier onset of amyloid deposition from more than 4000 harmonized positron emission tomography imagesTonnar Castellano, Ting Chen Wang, Emma Nolan, et al.
The Lancet. Digital Health|December 16, 2020
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning studyDerek B Archer, Justin T Bricker, Winston T Chu, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Brain age identification from diffusion MRI synergistically predicts neurodegenerative diseaseChenyu Gao, Michael E Kim, Karthik Ramadass, et al.
The Lancet. Digital Health|April 8, 2020
Development and Validation of the Automated Imaging Differentiation in Parkinsonism (AID-P): A Multi-Site Machine Learning StudyDerek B Archer, Justin T Bricker, Winston T Chu, et al.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association|December 24, 2025
Basic Science and PathogenesisAlex G Contreras, Skylar Walters, Jaclyn M Eissman, et al.
Pageof 10