Da Ma

1.4k citations

70 papers · 900 indexed · h-index 18

Impact in

Health Informatics top 5%
Ophthalmology top 5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders

Papers in ⓘ

Radiology, Nuclear Medicine and Imaging 27
- Retinal Imaging and Analysis 14
- Advanced Neuroimaging Techniques and Applications 9
Molecular Biology 17

Co-authors: Mirza Faisal Beg (30 shared papers)Karteek Popuri (15 shared papers)Lei Wang (10 shared papers)Xin Ye (1 shared paper)Mark F. Lythgoe (11 shared papers)Marinko V. Šarunic (18 shared papers)Donghuan Lu (5 shared papers)Sébastien Ourselin (8 shared papers)
Journals: Investigative Ophthalmology & Visual Science (5 papers)Alzheimer s & Dementia (5 papers)Frontiers in Neuroscience (4 papers)Neurobiology of Disease (3 papers)Neurobiology of Aging (3 papers)
Partner nations: Canada United States China

In The Last Decade

Da Ma

65 papers receiving 890 citations

Peers

Countries citing papers authored by Da Ma

Since Specialization

Citations

This map shows the geographic impact of Da Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Da Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Ma more than expected).

Fields of papers citing papers by Da Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Da Ma. The network helps show where Da Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Da Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da Ma Line = papers co-authored together Da Ma links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Loan evaluation in P2P lending based on Random Forest optimized by genetic algorithm with profit score Electronic Commerce Research and Applications ·Xin Ye, Lu-an Dong, Da Ma	2018	75
2	Federated Learning for Microvasculature Segmentation and Diabetic Retinopathy Classification of OCT Data SHILAP Revista de lepidopterología ·Julian Lo, Timothy T. Yu, Da Ma, Pengxiao Zang, Julia P. Owen, Qinqin Zhang, Ruikang K. Wang, Mirza Faisal Beg, Aaron Lee, Yali Jia, Marinko V. Šarunic	2021	67
3	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 Human Brain Mapping ·Karteek Popuri, Da Ma, Lei Wang, Mirza Faisal Beg	2020	59
4	Automatic Structural Parcellation of Mouse Brain MRI Using Multi-Atlas Label Fusion PLoS ONE ·Da Ma, M. Jorge Cardoso, Marc Modat, Nick Powell, Jack A. Wells, Holly E. Holmes, Frances K. Wiseman, Victor L. J. Tybulewicz, Elizabeth Fisher, Mark F. Lythgoe, Sébastien Ourselin	2014	52
5	Dexamethasone exacerbates cerebral edema and brain injury following lithium-pilocarpine induced status epilepticus Neurobiology of Disease ·Ben A. Duffy, Kwok Pan Chun, Da Ma, Mark F. Lythgoe, Rod C. Scott	2013	44
6	Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images Frontiers in Neuroscience ·Da Ma, Donghuan Lu, Karteek Popuri, Lei Wang, Mirza Faisal Beg, (unknown)	2020	40
7	Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy Frontiers in Neuroinformatics ·Holly E. Holmes, Nick Powell, Da Ma, Ozama Ismail, Ian F. Harrison, Jack A. Wells, Niall Colgan, James M. O’Callaghan, Ross A. Johnson, Tracey K. Murray, Zeshan Ahmed, Morten Heggenes, Alice Fisher, M. Jorge Cardoso, Marc Modat, Michael J. O’Neill, Emily C. Collins, Elizabeth Fisher, Sébastien Ourselin, Mark F. Lythgoe	2017	39
8	In vivo Retinal Fluorescence Imaging With Curcumin in an Alzheimer Mouse Model Frontiers in Neuroscience ·Ahmad Sidiqi, Daniel J. Wahl, Sieun Lee, Da Ma, Elliott To, Jing Cui, Eleanor To, Mirza Faisal Beg, Marinko V. Šarunic, Joanne A. Matsubara	2020	37
9	Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database Human Brain Mapping ·Da Ma, Karteek Popuri, Mahadev Bhalla, Oshin Sangha, Donghuan Lu, Jiguo Cao, Claudia Jacova, Lei Wang, Mirza Faisal Beg, (unknown)	2018	31
10	Regulation of the NMDA receptor-mediated synaptic response by acetylcholinesterase inhibitors and its impairment in an animal model of Alzheimer's disease Neurobiology of Aging ·Guojun Chen, Paul Chen, Huibing Tan, Da Ma, Fei Dou, Jian Feng, Zhen Yan	2007	30
11	Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy Using Automated MRI Structural Parcellation Frontiers in Neuroscience ·Da Ma, Holly E. Holmes, M. Jorge Cardoso, Marc Modat, Ian F. Harrison, Nick Powell, James M. O’Callaghan, Ozama Ismail, Ross A. Johnson, Michael J. O’Neill, Emily C. Collins, Mirza Faisal Beg, Karteek Popuri, Mark F. Lythgoe, Sébastien Ourselin	2019	24
12	Longitudinal in vivo MRI in a Huntington’s disease mouse model: Global atrophy in the absence of white matter microstructural damage Scientific Reports ·Jessica J. Steventon, Rebecca C. Trueman, Da Ma, Emma Yhnell, Zubeyde Bayram-Weston, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Mark F. Lythgoe, Andrew Stewart, Anne Rosser, Derek K. Jones	2016	23
13	LF-UNet – A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images Computerized Medical Imaging and Graphics ·Da Ma, Donghuan Lu, Shuo Chen, Morgan Heisler, Setareh Dabiri, Sieun Lee, Hyunwoo Lee, Gavin Weiguang Ding, Marinko V. Šarunic, Mirza Faisal Beg	2021	22
14	Pleiotropic FTY720 Is a Specific and Potent Therapy for Hypertrophic Scars Journal of Investigative Dermatology ·Fen Shi, Xiaoling Cao, Zhicheng Hu, Da Ma, Dong Guo, Jian Zhang, Changlin Zhang, Peng Liu, Shanqiang Qu, Jiayuan Zhu, Wuguo Deng, Bing Tang	2017	19
15	Drosophila UTX Coordinates with p53 to Regulate ku80 Expression in Response to DNA Damage PLoS ONE ·Chengwan Zhang, Zehui Hong, Wencui Ma, Da Ma, Yuchen Qian, Wei Xie, Feng Tie, Ming Fang	2013	19
16	3D hemisphere-based convolutional neural network for whole-brain MRI segmentation Computerized Medical Imaging and Graphics ·Evangeline Yee, Da Ma, Karteek Popuri, Shuo Chen, Hyunwoo Lee, Vincent Chow, Cydney Ma, Lei Wang, Mirza Faisal Beg	2021	19
17	Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning Computers in Biology and Medicine ·Da Ma, Meenakshi Kumar, Vikas Khetan, Parveen Sen, Muna Bhende, Shuo Chen, Timothy T. Yu, Sieun Lee, Eduardo V. Navajas, Joanne A. Matsubara, Myeong Jin Ju, Marinko V. Šarunic, Rajiv Raman, Mirza Faisal Beg	2022	18
18	Optic nerve thinning and neurosensory retinal degeneration in the rTg4510 mouse model of frontotemporal dementia Acta Neuropathologica Communications ·Ian F. Harrison, Rozalind Whitaker, Pietro Maria Bertelli, James M. O’Callaghan, Lajos Csincsik, Martina Bocchetta, Da Ma, Alice Fisher, Zeshan Ahmed, Tracey K. Murray, Michael J. O’Neill, Jonathan D. Rohrer, Mark F. Lythgoe, Imre Lengyel	2019	18
19	Predicting time-to-conversion for dementia of Alzheimer's type using multi-modal deep survival analysis Neurobiology of Aging ·Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E. Galvin, Lei Wang, Mirza Faisal Beg	2022	17
20	Bridging Decapentaplegic and Wingless signaling inDrosophilawings through repression ofnaked cuticleby Brinker Development ·Lin Yang, Fei Meng, Da Ma, Wei Xie, Ming Fang	2012	16

About Da Ma

Da Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Psychiatry and Mental health, Ophthalmology and Artificial Intelligence, having authored 70 papers that have together received 900 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (14 papers), Retinal Imaging and Analysis (14 papers), Alzheimer's disease research and treatments (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Functional Brain Connectivity Studies (8 papers), Optical Coherence Tomography Applications (7 papers), Glaucoma and retinal disorders (6 papers) and Retinal Diseases and Treatments (6 papers). The work is most often cited by research in Health Informatics (24 citations), Ophthalmology (146 citations), Neurology (113 citations), Radiology, Nuclear Medicine and Imaging (312 citations) and Psychiatry and Mental health (125 citations). Da Ma has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Mirza Faisal Beg, Karteek Popuri, Lei Wang, Xin Ye, Mark F. Lythgoe, Marinko V. Šarunic, Donghuan Lu, Sébastien Ourselin, M. Jorge Cardoso and Marc Modat. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Alzheimer s & Dementia, Frontiers in Neuroscience, Neurobiology of Disease and Neurobiology of Aging.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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