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Da Ma PhD

TitleAssistant Professor
InstitutionWake Forest School of Medicine
DepartmentInternal Medicine, Gerontology & Geriatric Medicine
Address
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    Collapse Biography 
    Collapse education and training
    The University of Hong KongBEng06/2007Electronic and Electrical Engineering
    The University of Hong KongMPhil09/2010Biomedical Engineering and Ophthalmology
    University College LondonPhD02/2016Medical and Biomedical Engineering
    Simon Fraser UniversityPostdoc11/2021AI and Medical Imaging Computing

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    Collapse Bibliographic 
    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Cao E, Ma D, Nayak S, Duong TQ. Deep learning combining FDG-PET and neurocognitive data accurately predicts MCI conversion to Alzheimer's dementia 3-year post MCI diagnosis. Neurobiol Dis. 2023 Sep 26; 187:106310. PMID: 37769746.
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    2. Park LK, Lim KH, Volkman J, Abdiannia M, Johnston H, Nigogosyan Z, Siegel MJ, McGill JB, McKee AM, Salam M, Zhang RM, Ma D, Popuri K, Chow VTY, Beg MF, Hawkins WG, Peterson LR, Ippolito JE. Safety, tolerability, and effectiveness of the sodium-glucose cotransporter 2 inhibitor (SGLT2i) dapagliflozin in combination with standard chemotherapy for patients with advanced, inoperable pancreatic adenocarcinoma: a phase 1b observational study. Cancer Metab. 2023 May 18; 11(1):6. PMID: 37202813.
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    3. Kooblall KG, Stevenson M, Stewart M, Harris L, Zalucki O, Dewhurst H, Butterfield N, Leng H, Hough TA, Ma D, Siow B, Potter P, Cox RD, Brown SDM, Horwood N, Wright B, Lockstone H, Buck D, Vincent TL, Hannan FM, Bassett JHD, Williams GR, Lines KE, Piper M, Wells S, Teboul L, Hennekam RC, Thakker RV. A Mouse Model with a Frameshift Mutation in the Nuclear Factor I/X (NFIX) Gene Has Phenotypic Features of Marshall-Smith Syndrome. JBMR Plus. 2023 Jun; 7(6):e10739. PMID: 37283649.
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    4. Chen S, Ma D, Lee S, Yu TTL, Xu G, Lu D, Popuri K, Ju MJ, Sarunic MV, Beg MF. Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. Comput Biol Med. 2023 Jun; 159:106595. PMID: 37087780.
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    5. Ma D, Pasquale LR, Girard MJA, Leung CKS, Jia Y, Sarunic MV, Sappington RM, Chan KC. Reverse translation of artificial intelligence in glaucoma: Connecting basic science with clinical applications. Front Ophthalmol (Lausanne). 2023; 2. PMID: 36866233.
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    6. Thomson SB, Stam A, Brouwers C, Fodale V, Bresciani A, Vermeulen M, Mostafavi S, Petkau TL, Hill A, Yung A, Russell-Schulz B, Kozlowski P, MacKay A, Ma D, Beg MF, Evers MM, Vallès A, Leavitt BR. AAV5-miHTT-mediated huntingtin lowering improves brain health in a Huntington's disease mouse model. Brain. 2022 Dec 12. PMID: 36508327.
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    7. Mirabnahrazam G, Ma D, Beaulac C, Lee S, Popuri K, Lee H, Cao J, Galvin JE, Wang L, Beg MF. Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis. Neurobiol Aging. 2023 Jan; 121:139-156. PMID: 36442416.
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    8. Ma D, Kumar M, Khetan V, Sen P, Bhende M, Chen S, Yu TTL, Lee S, Navajas EV, Matsubara JA, Ju MJ, Sarunic MV, Raman R, Beg MF. Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning. Comput Biol Med. 2022 Feb 14; 143:105319. PMID: 35220077.
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    9. Mirabnahrazam G, Ma D, Lee S, Popuri K, Lee H, Cao J, Wang L, Galvin JE, Beg MF. Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. J Alzheimers Dis. 2022; 87(3):1345-1365. PMID: 35466939.
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    10. Shi H, Ma D, Faisal Beg M, Cao J. A functional proportional hazard cure rate model for interval-censored data. Stat Methods Med Res. 2022 Jan; 31(1):154-168. PMID: 34806480.
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    11. Yee E, Ma D, Popuri K, Chen S, Lee H, Chow V, Ma C, Wang L, Beg MF. 3D hemisphere-based convolutional neural network for whole-brain MRI segmentation. Comput Med Imaging Graph. 2022 01; 95:102000. PMID: 34839147.
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    12. Ma D, Lu D, Chen S, Heisler M, Dabiri S, Lee S, Lee H, Ding GW, Sarunic MV, Beg MF. LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images. Comput Med Imaging Graph. 2021 12; 94:101988. PMID: 34717264.
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    13. Lo J, Yu TT, Ma D, Zang P, Owen JP, Zhang Q, Wang RK, Beg MF, Lee AY, Jia Y, Sarunic MV. Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data. Ophthalmol Sci. 2021 Dec; 1(4):100069. PMID: 36246944.
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    14. Yu TT, Ma D, Lo J, Ju MJ, Beg MF, Sarunic MV. Effect of optical coherence tomography and angiography sampling rate towards diabetic retinopathy severity classification. Biomed Opt Express. 2021 Oct 01; 12(10):6660-6673. PMID: 34745763.
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    15. Miao Y, Siadati M, Song J, Ma D, Jian Y, Beg MF, Sarunic MV, Ju MJ. Phase-corrected buffer averaging for enhanced OCT angiography using FDML laser. Opt Lett. 2021 Aug 15; 46(16):3833-3836. PMID: 34388753.
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    16. Sangha O, Ma D, Popuri K, Stocks J, Wang L, Beg MF. Structural volume and cortical thickness differences between males and females in cognitively normal, cognitively impaired and Alzheimer's dementia population. Neurobiol Aging. 2021 10; 106:1-11. PMID: 34216846.
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    17. Shi H, Ma D, Nie Y, Faisal Beg M, Pei J, Cao J, Neuroimaging Initiative TAD. Early diagnosis of Alzheimer's disease on ADNI data using novel longitudinal score based on functional principal component analysis. J Med Imaging (Bellingham). 2021 Mar; 8(2):024502. PMID: 33898638.
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    18. Ma D, Yee E, Stocks JK, Jenkins LM, Popuri K, Chausse G, Wang L, Probst S, Beg MF. Blinded Clinical Evaluation for Dementia of Alzheimer's Type Classification Using FDG-PET: A Comparison Between Feature-Engineered and Non-Feature-Engineered Machine Learning Methods. J Alzheimers Dis. 2021; 80(2):715-726. PMID: 33579858.
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    19. Yee E, Ma D, Popuri K, Wang L, Beg MF. Construction of MRI-Based Alzheimer's Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset. J Alzheimers Dis. 2021; 79(1):47-58. PMID: 33252079.
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    20. Ma D, Lu D, Popuri K, Wang L, Beg MF. 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. Front Neurosci. 2020; 14:853. PMID: 33192235.
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    21. Ma D, Cardoso MJ, Zuluaga MA, Modat M, Powell NM, Wiseman FK, Cleary JO, Sinclair B, Harrison IF, Siow B, Popuri K, Lee S, Matsubara JA, Sarunic MV, Beg MF, Tybulewicz VLJ, Fisher EMC, Lythgoe MF, Ourselin S. 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. Neuroimage. 2020 12; 223:117271. PMID: 32835824.
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    22. Sidiqi A, Wahl D, Lee S, Ma D, To E, Cui J, To E, Beg MF, Sarunic M, Matsubara JA. In vivo Retinal Fluorescence Imaging With Curcumin in an Alzheimer Mouse Model. Front Neurosci. 2020; 14:713. PMID: 32719582.
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    23. Popuri K, Ma D, Wang L, Beg MF. 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. Hum Brain Mapp. 2020 10 01; 41(14):4127-4147. PMID: 32614505.
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    24. Wang L, Heywood A, Stocks J, Bae J, Ma D, Popuri K, Toga AW, Kantarci K, Younes L, Mackenzie IR, Zhang F, Beg MF, Rosen H. Grant Report on PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential Diagnosis. J Psychiatr Brain Sci. 2019; 4. PMID: 31754634.
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    25. Harrison IF, Whitaker R, Bertelli PM, O'Callaghan JM, Csincsik L, Wells JA, Bocchetta M, Ma D, Fisher A, Ahmed Z, Murray TK, O'Neill MJ, Rohrer JD, Lythgoe MF, Lengyel I. Correction to: Optic nerve thinning and neurosensory retinal degeneration in the rTg4510 mouse model of frontotemporal dementia. Acta Neuropathol Commun. 2019 Aug 05; 7(1):127. PMID: 31383030.
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    26. Ma D, Holmes HE, Cardoso MJ, Modat M, Harrison IF, Powell NM, O'Callaghan JM, Ismail O, Johnson RA, O'Neill MJ, Collins EC, Beg MF, Popuri K, Lythgoe MF, Ourselin S. 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. Front Neurosci. 2019; 13:11. PMID: 30733665.
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    27. Harrison IF, Whitaker R, Bertelli PM, O'Callaghan JM, Csincsik L, Bocchetta M, Ma D, Fisher A, Ahmed Z, Murray TK, O'Neill MJ, Rohrer JD, Lythgoe MF, Lengyel I. Optic nerve thinning and neurosensory retinal degeneration in the rTg4510 mouse model of frontotemporal dementia. Acta Neuropathol Commun. 2019 01 07; 7(1):4. PMID: 30616676.
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    28. Ma D, Popuri K, Bhalla M, Sangha O, Lu D, Cao J, Jacova C, Wang L, Beg MF. Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database. Hum Brain Mapp. 2019 04 01; 40(5):1507-1527. PMID: 30431208.
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    29. Powell NM, Modat M, Cardoso MJ, Ma D, Holmes HE, Yu Y, O'Callaghan J, Cleary JO, Sinclair B, Wiseman FK, Tybulewicz VL, Fisher EM, Lythgoe MF, Ourselin S. Fully-Automated µMRI Morphometric Phenotyping of the Tc1 Mouse Model of Down Syndrome. PLoS One. 2016; 11(9):e0162974. PMID: 27658297.
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    30. Steventon JJ, Trueman RC, Ma D, Yhnell E, Bayram-Weston Z, Modat M, Cardoso J, Ourselin S, Lythgoe M, Stewart A, Rosser AE, Jones DK. Longitudinal in vivo MRI in a Huntington's disease mouse model: Global atrophy in the absence of white matter microstructural damage. Sci Rep. 2016 09 01; 6:32423. PMID: 27581950.
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    31. Da M, Li KK, Chan KC, Wu EX, Wong DS. Distribution of Triamcinolone Acetonide after Intravitreal Injection into Silicone Oil-Filled Eye. Biomed Res Int. 2016; 2016:5485467. PMID: 27493959.
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    32. Holmes HE, Colgan N, Ismail O, Ma D, Powell NM, O'Callaghan JM, Harrison IF, Johnson RA, Murray TK, Ahmed Z, Heggenes M, Fisher A, Cardoso MJ, Modat M, Walker-Samuel S, Fisher EM, Ourselin S, O'Neill MJ, Wells JA, Collins EC, Lythgoe MF. Imaging the accumulation and suppression of tau pathology using multiparametric MRI. Neurobiol Aging. 2016 Mar; 39:184-94. PMID: 26923415.
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    33. Ma D, Cardoso MJ, Modat M, Powell N, Wells J, Holmes H, Wiseman F, Tybulewicz V, Fisher E, Lythgoe MF, Ourselin S. Automatic structural parcellation of mouse brain MRI using multi-atlas label fusion. PLoS One. 2014; 9(1):e86576. PMID: 24475148.
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    34. Williams RL, Kearns VR, Lo AC, Day M, Garvey MJ, Krishna Y, Ma D, Stappler T, Wong D. Novel heavy tamponade for vitreoretinal surgery. Invest Ophthalmol Vis Sci. 2013 Nov 05; 54(12):7284-92. PMID: 24130181.
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    35. Das S, Das NC. Theory of hole superconductivity. II. Phys Rev B Condens Matter. 1994 Aug 01; 50(6):4131-4138. PMID: 9976697.
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