| 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 … K Popuri, D Ma, L Wang, MF Beg Human Brain Mapping, e25115, 2020 | 82 | 2020 |
| Automatic structural parcellation of mouse brain MRI using multi-atlas label fusion D Ma, MJ Cardoso, M Modat, N Powell, J Wells, H Holmes, F Wiseman, ... PloS one 9 (1), e86576, 2014 | 81 | 2014 |
| Federated learning for microvasculature segmentation and diabetic retinopathy classification of OCT data J Lo, TY Timothy, D Ma, P Zang, JP Owen, Q Zhang, RK Wang, MF Beg, ... Ophthalmology Science 1 (4), 100069, 2021 | 67 | 2021 |
| Dexamethasone exacerbates cerebral edema and brain injury following lithium-pilocarpine induced status epilepticus BA Duffy, KP Chun, D Ma, MF Lythgoe, RC Scott Neurobiology of disease 63, 229-236, 2014 | 66 | 2014 |
| Differential diagnosis of frontotemporal dementia, Alzheimer's disease, and Normal aging using a multi-scale multi-type feature generative adversarial deep neural network on … D Ma, D Lu, K Popuri, L Wang, MF Beg, ... Frontiers in neuroscience 14, 853, 2020 | 57 | 2020 |
| Comparison of in vivo and ex vivo MRI for the detection of structural abnormalities in a mouse model of tauopathy HE Holmes, NM Powell, D Ma, O Ismail, IF Harrison, JA Wells, N Colgan, ... Frontiers in Neuroinformatics 11, 20, 2017 | 57 | 2017 |
| Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database D Ma, K Popuri, M Bhalla, O Sangha, D Lu, J Cao, C Jacova, L Wang, ... Human brain mapping 40 (5), 1507-1527, 2019 | 55 | 2019 |
| Imaging the accumulation and suppression of tau pathology using multiparametric MRI HE Holmes, N Colgan, O Ismail, D Ma, NM Powell, JM O'Callaghan, ... Neurobiology of aging 39, 184-194, 2016 | 50 | 2016 |
| In vivo Retinal Fluorescence Imaging With Curcumin in an Alzheimer Mouse Model A Sidiqi, D Wahl, S Lee, D Ma, E To, J Cui, E To, MF Beg, M Sarunic, ... Frontiers in Neuroscience 14, 713, 2020 | 42 | 2020 |
| Comprehensive validation of automated whole body skeletal muscle, adipose tissue, and bone segmentation from 3D CT images for body composition analysis: Towards extended body … D Ma, V Chow, K Popuri, MF Beg arXiv preprint arXiv:2106.00652, 2021 | 31 | 2021 |
| Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis G Mirabnahrazam, D Ma, C Beaulac, S Lee, K Popuri, H Lee, J Cao, ... Neurobiology of aging 121, 139-156, 2023 | 30 | 2023 |
| Longitudinal in vivo MRI in a Huntington’s disease mouse model: Global atrophy in the absence of white matter microstructural damage JJ Steventon, RC Trueman, D Ma, E Yhnell, Z Bayram-Weston, M Modat, ... Scientific Reports 6, 32423, 2016 | 30 | 2016 |
| 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 E Yee, D Ma, K Popuri, L Wang, MF Beg, ... Journal of Alzheimer’s disease 79 (1), 47-58, 2021 | 28 | 2021 |
| Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy … D Ma, HE Holmes, MJ Cardoso, M Modat, IF Harrison, NM Powell, ... Frontiers in Neuroscience 13, 11, 2019 | 28 | 2019 |
| LF-UNET - a novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images D Ma, D Lu, S Chen, M Heisler, S Dabiri, S Lee, H Lee, GW Ding, ... Computerized Medical Imaging and Graphics 94, 101988, 2021 | 27 | 2021 |
| Optic nerve thinning and neurosensory retinal degeneration in the rTg4510 mouse model of frontotemporal dementia IF Harrison, R Whitaker, PM Bertelli, JM O’Callaghan, L Csincsik, ... Acta neuropathologica communications 7 (1), 4, 2019 | 24 | 2019 |
| Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning D Ma, M Kumar, V Khetan, P Sen, M Bhende, S Chen, TL Timothy, S Lee, ... Computers in biology and medicine 143, 105319, 2022 | 23 | 2022 |
| Fully-automated μMRI morphometric phenotyping of the Tc1 mouse model of Down syndrome NM Powell, M Modat, MJ Cardoso, D Ma, HE Holmes, Y Yu, ... PLoS One 11 (9), e0162974, 2016 | 22 | 2016 |
| Machine learning based multimodal neuroimaging genomics dementia score for predicting future conversion to alzheimer’s disease G Mirabnahrazam, D Ma, S Lee, K Popuri, H Lee, J Cao, L Wang, ... Journal of Alzheimer's Disease 87 (3), 1345-1365, 2022 | 20 | 2022 |
| Distribution of Triamcinolone Acetonide after Intravitreal Injection into Silicone Oil-Filled Eye D Ma, KKW Li, KC Chan, EX Wu, DSH Wong BioMed Research International 2016, 2016 | 19 | 2016 |
Mirza Faisal Beg, Ph.D., P.Eng.Professor, School of Engineering Science, Simon Fraser UniversityEmail yang diverifikasi di sfu.ca
