Da Ma to Brain
This is a "connection" page, showing publications Da Ma has written about Brain.
Connection Strength
1.032
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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.
Score: 0.387
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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.
Score: 0.278
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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.
Score: 0.112
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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.
Score: 0.112
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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.
Score: 0.083
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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.
Score: 0.030
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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.
Score: 0.030