Ma, Da
Wake Forest University Health Sciences · Wake Forest University
8 papers on CoChatORCID 0000-0002-3542-7798
Most cited papers
- Verified
Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data
Lo, J., Yu, T. T., Ma, D., Zang, P., Owen, J. P., Zhang, Q., Wang, R. K., Beg, M. F., Lee, A. Y., Jia, Y., et al. (2021) · Ophthalmology Science
Retinal Imaging and AnalysisRetinal Diseases and Treatments
Cited by 105
- Verified
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
Popuri, K., Ma, D., Wang, L., & Beg, M. F. (2020) · Human Brain Mapping
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 96
- Verified
Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images
Ma, D., Lu, D., Popuri, K., Wang, L., Beg, M. F., & Initiative, A. D. N. (2020) · Frontiers in Neuroscience
Dementia and Cognitive Impairment ResearchMedical Image Segmentation Techniques
Cited by 56
- Verified
Comparison of in vivo and ex vivo MRI for the detection of structural abnormalities in a mouse model of tauopathy
Holmes, H. E., Powell, N. M., Ma, D., Ismail, O., Harrison, I. F., Wells, J. A., Colgan, N., O'Callaghan, J. M., Johnson, R. A., Murray, T. K., et al. (2017) · Frontiers in Neuroinformatics
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 55
- Verified
Imaging the accumulation and suppression of tau pathology using multiparametric MRI
Holmes, H. E., Colgan, N., Ismail, O., Ma, D., Powell, N. M., O'Callaghan, J. M., Harrison, I. F., Johnson, R. A., Murray, T. K., Ahmed, Z., et al. (2016) · Neurobiology of Aging
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 51
- Verified
Machine learning based multimodal neuroimaging genomics dementia score for predicting future conversion to alzheimer’s disease
Mirabnahrazam, G., Initiative, T. A. D. N., Ma, D., Lee, S., Popuri, K., Lee, H., Cao, J., Wang, L., Galvin, J. E., & Beg, M. F. (2022) · Journal of Alzheimer's Disease
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 50
- Verified
Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy Using Automated MRI Structural Parcellation
Ma, D., Holmes, H. E., Cardoso, M. J., Modat, M., Harrison, I. F., Powell, N. M., O’Callaghan, J. M., Ismail, O., Johnson, R. A., O’Neill, M. J., et al. (2019) · Frontiers in Neuroscience
Dementia and Cognitive Impairment ResearchMedical Image Segmentation Techniques
Cited by 36
- Verified
Differential diagnosis of frontotemporal dementia subtypes with explainable deep learning on structural MRI
Ma, D., Stocks, J., Rosen, H., Kantarci, K., Lockhart, S. N., Bateman, J. R., Craft, S., Gurcan, M. N., Popuri, K., Beg, M. F., et al. (2024) · Frontiers in Neuroscience
Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments
Cited by 9
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