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Haoxin Zheng

Showing results (1-10 of 19) with videos related to

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Proceedings. IEEE International Symposium on Biomedical Imaging|January 27, 2022
INTEGRATIVE RADIOMICS MODELS TO PREDICT BIOPSY RESULTS FOR NEGATIVE PROSTATE MRIHaoxin Zheng, Qi Miao, Steven S Raman, et al.
Frontiers in Psychiatry|May 22, 2023
Risk factors and prediction model for mental health in Chinese soldiersMengxue Zhao, Ying He, Quan Tang, et al.
Cancers|September 14, 2024
A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion ImagingKai Zhao, Kaifeng Pang, Alex LingYu Hung, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 23, 2021
Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRIHaoxin Zheng, Qi Miao, Yongkai Liu, et al.
Computers in Biology and Medicine|November 27, 2024
NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolutionKaifeng Pang, Kai Zhao, Alex Ling Yu Hung, et al.
IEEE Transactions on Medical Imaging|October 17, 2024
MRI Super-Resolution With Partial Diffusion ModelsKai Zhao, Kaifeng Pang, Alex Ling Yu Hung, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 16, 2024
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer DetectionAlex Ling Yu Hung, Haoxin Zheng, Kai Zhao, et al.
Scientific Reports|April 18, 2026
Scale-aware feature modeling and dynamic sampling enable arbitrary-scale image super-resolutionQianqian Tang, Yuanyuan Zhou, Xing Liu, et al.
IEEE Transactions on Medical Imaging|October 4, 2022
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRIAlex Ling Yu Hung, Haoxin Zheng, Qi Miao, et al.
Frontiers in Oncology|January 7, 2022
Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability AnalysisYongkai Liu, Qi Miao, Chuthaporn Surawech, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Proceedings. IEEE International Symposium on Biomedical Imaging|January 27, 2022
INTEGRATIVE RADIOMICS MODELS TO PREDICT BIOPSY RESULTS FOR NEGATIVE PROSTATE MRIHaoxin Zheng, Qi Miao, Steven S Raman, et al.
Frontiers in Psychiatry|May 22, 2023
Risk factors and prediction model for mental health in Chinese soldiersMengxue Zhao, Ying He, Quan Tang, et al.
Cancers|September 14, 2024
A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion ImagingKai Zhao, Kaifeng Pang, Alex LingYu Hung, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 23, 2021
Integrative Machine Learning Prediction of Prostate Biopsy Results From Negative Multiparametric MRIHaoxin Zheng, Qi Miao, Yongkai Liu, et al.
Computers in Biology and Medicine|November 27, 2024
NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolutionKaifeng Pang, Kai Zhao, Alex Ling Yu Hung, et al.
IEEE Transactions on Medical Imaging|October 17, 2024
MRI Super-Resolution With Partial Diffusion ModelsKai Zhao, Kaifeng Pang, Alex Ling Yu Hung, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 16, 2024
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer DetectionAlex Ling Yu Hung, Haoxin Zheng, Kai Zhao, et al.
Scientific Reports|April 18, 2026
Scale-aware feature modeling and dynamic sampling enable arbitrary-scale image super-resolutionQianqian Tang, Yuanyuan Zhou, Xing Liu, et al.
IEEE Transactions on Medical Imaging|October 4, 2022
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRIAlex Ling Yu Hung, Haoxin Zheng, Qi Miao, et al.
Frontiers in Oncology|January 7, 2022
Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability AnalysisYongkai Liu, Qi Miao, Chuthaporn Surawech, et al.
Pageof 2