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James E. Galvin
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2020 – today
- 2024
- [j5]Marjan Nassajpour, Mustafa Shuqair
, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning. Frontiers Digit. Health 6 (2024) - 2022
- [c2]Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani:
Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). ICDM (Workshops) 2022: 248-253 - [i2]Ghazal Mirabnahrazam, Da Ma, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, Lei Wang, James E. Galvin, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative:
Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease. CoRR abs/2203.05707 (2022) - [i1]Ghazal Mirabnahrazam, Da Ma, Cédric Beaulac, Sieun Lee, Karteek Popuri, Hyunwoo Lee, Jiguo Cao, James E. Galvin, Lei Wang, Mirza Faisal Beg, Alzheimer's Disease Neuroimaging Initiative:
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis. CoRR abs/2205.01188 (2022) - 2021
- [j4]Shih-Chi Su, James E. Galvin, Shun-Fa Yang, Wen-Hung Chung, Lun-Ching Chang
wiSDOM: a visual and statistical analytics for interrogating microbiome. Bioinform. 37(17): 2795-2797 (2021) - [j3]Chi Song, Shih-Chi Su, Zhiguang Huo, Suleyman Vural, James E. Galvin, Lun-Ching Chang
HCMMCNVs: hierarchical clustering mixture model of copy number variants detection using whole exome sequencing technology. Bioinform. 37(18): 3026-3028 (2021) - [j2]Behnaz Ghoraani
Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning. Biomed. Signal Process. Control. 64: 102249 (2021) - [j1]Jonathan P. Bona, Aaron S. Kemp
Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES). Frontiers Artif. Intell. 4: 649970 (2021) - 2020
- [c1]Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline. EMBC 2020: 3204-3207
Coauthor Index
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