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Connection

Da Ma to Disease Progression

This is a "connection" page, showing publications Da Ma has written about Disease Progression.
Connection Strength

0.406
  1. 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.
    View in: PubMed
    Score: 0.153
  2. 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.
    View in: PubMed
    Score: 0.136
  3. 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.
    View in: PubMed
    Score: 0.045
  4. 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.
    View in: PubMed
    Score: 0.042
  5. 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.
    View in: PubMed
    Score: 0.029
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.