Da Ma

@Da_Ma_DM

Assistant Professor at Wake Forest School of Medine. Medical Imaging Computing, Biomedical informatics, Age-related neurodegeneration, and Alzheimer's Disease

Winston-Salem, NC, US da-ma-dm.github.io Joined April 2008

475 Following 175 Followers 124 Posts

Latest posts 5

Da Ma @Da_Ma_DM Aug 10, 2024

Great workshop experience at #NeuroConnect 2024 thanks to the UNC EPIC team! Exiting topics and interesting discussions panel discussion, kick off keynote by Paul Thompson
@PTenigma with comprehensive overview of decades research on AI applications in Neuroimaging

Paul Thompson Verified account @PTenigma Aug 8, 2024

Time to dementia onset is better predicted of genomic data is added to deep learning from MRI (Da Ma plenary). Cascade networks can benefit from multitimepoint MRI

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Da Ma @Da_Ma_DM Jul 30, 2024

Congrats to Fatemeh for attending #AAIC24 for the 1st time and present her work on deep brain aging & associated cardiometabolic risk factors! #ADRD @alzassociation @ISTAART

Da Ma @Da_Ma_DM Jul 30, 2024

Check out our poster for Deep learning polygenic AD risk score by Linke at Tues poster No. 705!
Our other posters on neuroimaging, deep survival AD by Sophia and deep brain aging by Fatemeh is also online:
epostersonline.com/aaic2024/autho…
#AAIC24 #ISTAART @ISTAART @alzassociation

Da Ma @Da_Ma_DM Mar 22, 2024

Check out our collaborative work on the differential diagnosis of Frontotemporal Dementia (FTD) subtypes and neuroimaging-based whole-brain patterns: frontiersin.org/journals/neuro…

www.frontiersin.org Frontiers | Differential diagnosis of frontotemporal dementia subtypes with explainable deep... Frontotemporal dementia (FTD) represents a collection of neurobehavioral and neurocognitive syndromes that are associated with a significant degree of clinic...

Wake Forest Alzheimer's Disease Research Center @WakeADC Jan 31, 2024

@Da_Ma_DM of the @WakeADC used a deep learning framework to differentiate subtypes of Frontotemporal Dementia (FTD) based on MRI patterns. This could help identify at-risk populations for early diagnosis and intervention planning. frontiersin.org/articles/10.33… @lockhartbrains
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Da Ma @Da_Ma_DM Mar 14, 2024

Honored to be part of the collaboration teamwork among @wakeforestmed, @nyulangone, @SBME_UBC, @FAS_SFU, and @UCLeye on reverse-translation of AI application for retinal OCT imaging on small-animal models

Kevin Chan @kevinchancw Feb 1, 2024

Early inner plexiform layer thinning and retinal nerve fiber layer thickening in excitotoxic retinal injury using deep learning-assisted optical coherence tomography actaneurocomms.biomedcentral.com/articles/10.11…

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