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Shenjun Zhong

Showing results (1-10 of 11) with videos related to

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Neuroinformatics|June 22, 2022
Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance AnalysisShenjun Zhong, Zhaolin Chen, Gary Egan
Journal of Biomedical Informatics|November 13, 2024
Cross-Modal self-supervised vision language pre-training with multiple objectives for medical visual question answeringGang Liu, Jinlong He, Pengfei Li, et al.
Scientific Reports|April 21, 2026
PeFoMed: Parameter efficient fine-tuning of multimodal large language models for medical CXRGang Liu, Xiaotian Tang, Jinlong He, et al.
Journal of Digital Imaging|November 3, 2022
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging-State-of-the-Art and ChallengesZhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, et al.
Gigascience|April 30, 2022
Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PETSharna D Jamadar, Emma X Liang, Shenjun Zhong, et al.
Scientific Data|October 16, 2021
Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortexSharna D Jamadar, Shenjun Zhong, Alexandra Carey, et al.
Frontiers in Neuroimaging|June 19, 2025
AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRIKh Tohidul Islam, Shenjun Zhong, Parisa Zakavi, et al.
Scientific Reports|December 1, 2023
Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field imagesKh Tohidul Islam, Shenjun Zhong, Parisa Zakavi, et al.
Scientific Data|June 16, 2026
Population-based Brain Templates for Ultra-Low-Field MRIKh Tohidul Islam, Parisa Zakavi, Shenjun Zhong, et al.
Scientific Reports|January 24, 2026
SynPoC: a high-quality generative diffusion model for transforming ultra-low-field point-of-care MRI using high-field MRI representationsKh Tohidul Islam, Sanuwani Dayarathna, Shenjun Zhong, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neuroinformatics|June 22, 2022
Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance AnalysisShenjun Zhong, Zhaolin Chen, Gary Egan
Journal of Biomedical Informatics|November 13, 2024
Cross-Modal self-supervised vision language pre-training with multiple objectives for medical visual question answeringGang Liu, Jinlong He, Pengfei Li, et al.
Scientific Reports|April 21, 2026
PeFoMed: Parameter efficient fine-tuning of multimodal large language models for medical CXRGang Liu, Xiaotian Tang, Jinlong He, et al.
Journal of Digital Imaging|November 3, 2022
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging-State-of-the-Art and ChallengesZhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, et al.
Gigascience|April 30, 2022
Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PETSharna D Jamadar, Emma X Liang, Shenjun Zhong, et al.
Scientific Data|October 16, 2021
Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortexSharna D Jamadar, Shenjun Zhong, Alexandra Carey, et al.
Frontiers in Neuroimaging|June 19, 2025
AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRIKh Tohidul Islam, Shenjun Zhong, Parisa Zakavi, et al.
Scientific Reports|December 1, 2023
Improving portable low-field MRI image quality through image-to-image translation using paired low- and high-field imagesKh Tohidul Islam, Shenjun Zhong, Parisa Zakavi, et al.
Scientific Data|June 16, 2026
Population-based Brain Templates for Ultra-Low-Field MRIKh Tohidul Islam, Parisa Zakavi, Shenjun Zhong, et al.
Scientific Reports|January 24, 2026
SynPoC: a high-quality generative diffusion model for transforming ultra-low-field point-of-care MRI using high-field MRI representationsKh Tohidul Islam, Sanuwani Dayarathna, Shenjun Zhong, et al.
Pageof 2