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Connection

Da Ma to Cross-Sectional Studies

This is a "connection" page, showing publications Da Ma has written about Cross-Sectional Studies.
Connection Strength

0.258
  1. 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.
    View in: PubMed
    Score: 0.142
  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: 0.116
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.