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Yinchi Zhou

Showing results (1-10 of 8) with videos related to

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Machine Learning in Clinical Neuroimaging : 7Th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. MLCN (Workshop) (7Th : 2024 : Marrakesh, Morocco)|March 31, 2025
Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism DetectionYinchi Zhou, Peiyu Duan, Yuexi Du, et al.
IEEE Transactions on Medical Imaging|May 15, 2025
2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation CorrectionTianqi Chen, Jun Hou, Yinchi Zhou, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|November 12, 2025
An Investigation on Cross-Tracer Generalizability of Deep Learning-based PET Attenuation CorrectionJun Hou, Tianqi Chen, Yinchi Zhou, et al.
Medical Image Analysis|September 3, 2024
Cascaded Multi-path Shortcut Diffusion Model for Medical Image TranslationYinchi Zhou, Tianqi Chen, Jun Hou, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 21, 2025
Multi-contrast computed tomography atlas of healthy pancreas with dense displacement sampling registrationYinchi Zhou, Ho Hin Lee, Yucheng Tang, et al.
IEEE Transactions on Medical Imaging|March 3, 2025
POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map GenerationBo Zhou, Jun Hou, Tianqi Chen, et al.
Medical Image Analysis|September 19, 2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentationXin Yu, Qi Yang, Yinchi Zhou, et al.
Medical Image Analysis|April 3, 2026
Dose-aware diffusion model for 3D PET image denoising: Multi-institutional validation with reader study and real low-dose dataHuidong Xie, Weijie Gan, Reimund Bayerlein, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Machine Learning in Clinical Neuroimaging : 7Th International Workshop, MLCN 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. MLCN (Workshop) (7Th : 2024 : Marrakesh, Morocco)|March 31, 2025
Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism DetectionYinchi Zhou, Peiyu Duan, Yuexi Du, et al.
IEEE Transactions on Medical Imaging|May 15, 2025
2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation CorrectionTianqi Chen, Jun Hou, Yinchi Zhou, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|November 12, 2025
An Investigation on Cross-Tracer Generalizability of Deep Learning-based PET Attenuation CorrectionJun Hou, Tianqi Chen, Yinchi Zhou, et al.
Medical Image Analysis|September 3, 2024
Cascaded Multi-path Shortcut Diffusion Model for Medical Image TranslationYinchi Zhou, Tianqi Chen, Jun Hou, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 21, 2025
Multi-contrast computed tomography atlas of healthy pancreas with dense displacement sampling registrationYinchi Zhou, Ho Hin Lee, Yucheng Tang, et al.
IEEE Transactions on Medical Imaging|March 3, 2025
POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map GenerationBo Zhou, Jun Hou, Tianqi Chen, et al.
Medical Image Analysis|September 19, 2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentationXin Yu, Qi Yang, Yinchi Zhou, et al.
Medical Image Analysis|April 3, 2026
Dose-aware diffusion model for 3D PET image denoising: Multi-institutional validation with reader study and real low-dose dataHuidong Xie, Weijie Gan, Reimund Bayerlein, et al.
Pageof 1