Da Ma

Assistant Professor

Wake Forest School of Medicine

United States

Research Interests

Explore related searches

Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Da Ma is an Assistant Professor at Wake Forest University School of Medicine, USA. His research areas include digital health technologies, machine learning applications in neurodegenerative diseases, and advanced imaging techniques in ophthalmology. Recent work has focused on developing AI tools for medical outcomes mapping, predicting dementia progression, and enhancing diagnostic processes for retinal conditions.

Articles (10)

Year:

2025

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (8)

Cédric Beaulac

Professor

Université de Montréal

CANADA

View details

Lei Wang

Professor

Ohio State University

UNITED STATES

View details

Maria A. Zuluaga

Eurecom

FRANCE

View details

Mirza Faisal Beg

Professor

Simon Fraser University

CANADA

View details

Joanne A Matsubara

The University of British Columbia

CANADA

View details

Marinko Sarunic

Professor, Moorfields Eye Charity Chair of Advanced Ocular Imaging

University College London

UNITED KINGDOM

View details

Bernard Siow

Head of MRI

The Francis Crick Institute

UNITED KINGDOM

View details

MYEONG JIN JU

Assistant Professor

The University of British Columbia

CANADA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Da Ma

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Breaking Digital Health Barriers Through a Large Language Model–Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study

Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks

Reverse translation of artificial intelligence in glaucoma: Connecting basic science with clinical applications

Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis

Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning

Multi-view parallel vertebra segmentation and identification on computed tomography (CT) images

Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of Optical Coherence Tomography Data

Structural volume and cortical thickness differences between males and females in cognitively normal, cognitively impaired and Alzheimer’s dementia population

Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI

Collaborators (8)

Cédric Beaulac

Lei Wang

Maria A. Zuluaga

Mirza Faisal Beg

Joanne A Matsubara

Marinko Sarunic

Bernard Siow

MYEONG JIN JU

Make your next move.