activity
20082025
most citedPredicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis

49 citations · 201 across the 17 of their papers we have counts for

collaborators

17 papers

eess.IV2025

Comprehensive Evaluation of OCT-based Automated Segmentation of Retinal Layer, Fluid and Hyper-Reflective Foci: Impact on Clinical Assessment of Diabetic Retinopathy Severity

S. Chen, D. Ma, M. Raviselvan +6

Diabetic retinopathy (DR) is a leading cause of vision loss, requiring early and accurate assessment to prevent irreversible damage. Spectral Domain Optical Coherence Tomography (S…

eess.IV2022★ 1 cited

Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks

Shuo Chen, Da Ma, Sieun Lee +7

Optical Coherence Tomography(OCT) is a non-invasive technique capturing cross-sectional area of the retina in micro-meter resolutions. It has been widely used as a auxiliary imagin…

q-bio.QM2022★ 3 cited

Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics

Cédric Beaulac, Sidi Wu, Erin Gibson +5

A major issue in the association of genes to neuroimaging phenotypes is the high dimension of both genetic data and neuroimaging data. In this article, we tackle the latter problem…

cs.LG2022★ 49 cited

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

Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac +8

Dementia of Alzheimer's Type (DAT) is a complex disorder influenced by numerous factors, but it is unclear how each factor contributes to disease progression. An in-depth examinati…

cs.LG2022

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease

Ghazal Mirabnahrazam, Da Ma, Sieun Lee +7

Background: The increasing availability of databases containing both magnetic resonance imaging (MRI) and genetic data allows researchers to utilize multimodal data to better under…

eess.IV2021★ 1 cited

Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network

Da Ma, Donghuan Lu, Karteek Popuri +1

Frontotemporal dementia and Alzheimer's disease are two common forms of dementia and are easily misdiagnosed as each other due to their similar pattern of clinical symptoms. Differ…