James E. Galvin

According to our database, James E. Galvin authored at least 8 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis.

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

CoRR, 2022

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease.

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

CoRR, 2022

Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG).

Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

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).

Jonathan P. Bona, Aaron S. Kemp, Carli Cox, Tracy S. Nolan, Lakshmi Pillai, Aparna Das, James E. Galvin, Linda Larson-Prior, Tuhin Virmani, Fred W. Prior

Frontiers Artif. Intell., 2021

Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning.

Behnaz Ghoraani, Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin

Biomed. Signal Process. Control., 2021

wiSDOM: a visual and statistical analytics for interrogating microbiome.

Shih-Chi Su, James E. Galvin, Shun-Fa Yang, Wen-Hung Chung, Lun-Ching Chang

Bioinform., 2021

HCMMCNVs: hierarchical clustering mixture model of copy number variants detection using whole exome sequencing technology.

Chi Song, Shih-Chi Su, Zhiguang Huo, Suleyman Vural, James E. Galvin, Lun-Ching Chang

Bioinform., 2021

2020

Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline.

Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020