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Junkang Shen

Showing results (51-60 of 57) with videos related to

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Insights Into Imaging|January 29, 2025
3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter studyJie Bao, Litao Zhao, Xiaomeng Qiao, et al.
Advanced Materials (Deerfield Beach, Fla.)|December 16, 2022
Holographically Activatable Nanoprobe via Glutathione/Albumin-Mediated Exponential Signal Amplification for High-Contrast Tumor ImagingTing Li, Shuangxiu Tan, Mengjuan Li, et al.
Theranostics|March 1, 2014
Highly efficient hierarchical micelles integrating photothermal therapy and singlet oxygen-synergized chemotherapy for cancer eradicationZhihui Wan, Huajian Mao, Miao Guo, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 16, 2026
Navigating Uncertainty in MRI Diagnosis: A Human-AI Collaborative Strategy for Stratifying Clinically Significant Prostate CancerXu Fu, Jie Bao, Xiaomeng Qiao, et al.
Visual Computing for Industry, Biomedicine, and Art|July 5, 2024
Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomicsYuwei Liu, Litao Zhao, Jie Bao, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 21, 2023
Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective StudyLitao Zhao, Jie Bao, Ximing Wang, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 21, 2022
Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective studyLitao Zhao, Jie Bao, Xiaomeng Qiao, et al.
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Showing results (51-60 of 57) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 57 results.
Insights Into Imaging|January 29, 2025
3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter studyJie Bao, Litao Zhao, Xiaomeng Qiao, et al.
Advanced Materials (Deerfield Beach, Fla.)|December 16, 2022
Holographically Activatable Nanoprobe via Glutathione/Albumin-Mediated Exponential Signal Amplification for High-Contrast Tumor ImagingTing Li, Shuangxiu Tan, Mengjuan Li, et al.
Theranostics|March 1, 2014
Highly efficient hierarchical micelles integrating photothermal therapy and singlet oxygen-synergized chemotherapy for cancer eradicationZhihui Wan, Huajian Mao, Miao Guo, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 16, 2026
Navigating Uncertainty in MRI Diagnosis: A Human-AI Collaborative Strategy for Stratifying Clinically Significant Prostate CancerXu Fu, Jie Bao, Xiaomeng Qiao, et al.
Visual Computing for Industry, Biomedicine, and Art|July 5, 2024
Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomicsYuwei Liu, Litao Zhao, Jie Bao, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 21, 2023
Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin-Transformer Model and Biparametric MRI: A Multicenter Retrospective StudyLitao Zhao, Jie Bao, Ximing Wang, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 21, 2022
Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective studyLitao Zhao, Jie Bao, Xiaomeng Qiao, et al.
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