Da Ma to Magnetic Resonance Imaging
This is a "connection" page, showing publications Da Ma has written about Magnetic Resonance Imaging.
Connection Strength
1.244
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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.
Score: 0.466
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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: 0.295
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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.
Score: 0.115
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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: 0.103
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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.
Score: 0.084
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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.
Score: 0.034
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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: 0.032
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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: 0.032
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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.
Score: 0.031
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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: 0.030
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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: 0.022