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Sheikh Muhammad Saiful Islam

Showing results (1-10 of 7) with videos related to

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Biorxiv : the Preprint Server for Biology|May 7, 2026
Learning dynamics of unsupervised deep learning reveal epoch-specific genetic architectures of brain morphologySheikh Muhammad Saiful Islam, Tian Xia, Xingzhong Zhao, et al.
Arxiv|October 9, 2023
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics StudiesYaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
Replicability of unsupervised deep learning derived image phenotypesTian Xia, Sheikh Muhammad Saiful Islam, Ziqian Xie, et al.
Research Square|May 4, 2026
Learning heritable multimodal brain representation via contrastive learningDegui Zhi, Tian Xia, Xingzhong Zhao, et al.
Medrxiv : the Preprint Server for Health Sciences|December 16, 2024
Efficient multi-phenotype genome-wide analysis identifies genetic associations for unsupervised deep-learning-derived high-dimensional brain imaging phenotypesBohong Guo, Ziqian Xie, Wei He, et al.
Journal of Biomedical Informatics|October 27, 2019
Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortalityMd Ali Hossain, Sheikh Muhammad Saiful Islam, Julian M W Quinn, et al.
Communications Biology|April 5, 2024
Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imagingKhush Patel, Ziqian Xie, Hao Yuan, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Biorxiv : the Preprint Server for Biology|May 7, 2026
Learning dynamics of unsupervised deep learning reveal epoch-specific genetic architectures of brain morphologySheikh Muhammad Saiful Islam, Tian Xia, Xingzhong Zhao, et al.
Arxiv|October 9, 2023
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics StudiesYaochen Xie, Ziqian Xie, Sheikh Muhammad Saiful Islam, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
Replicability of unsupervised deep learning derived image phenotypesTian Xia, Sheikh Muhammad Saiful Islam, Ziqian Xie, et al.
Research Square|May 4, 2026
Learning heritable multimodal brain representation via contrastive learningDegui Zhi, Tian Xia, Xingzhong Zhao, et al.
Medrxiv : the Preprint Server for Health Sciences|December 16, 2024
Efficient multi-phenotype genome-wide analysis identifies genetic associations for unsupervised deep-learning-derived high-dimensional brain imaging phenotypesBohong Guo, Ziqian Xie, Wei He, et al.
Journal of Biomedical Informatics|October 27, 2019
Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortalityMd Ali Hossain, Sheikh Muhammad Saiful Islam, Julian M W Quinn, et al.
Communications Biology|April 5, 2024
Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imagingKhush Patel, Ziqian Xie, Hao Yuan, et al.
Pageof 1