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Jisu Hu

Showing results (1-10 of 16) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A new machine learning based user-friendly software platform for automatic radiomics modeling and analysisZhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
Scientific Reports|June 9, 2018
Accurate and Robust Non-rigid Point Set Registration using Student's-t Mixture Model with Prior Probability ModelingZhiyong Zhou, Jianfei Tu, Chen Geng, et al.
Abdominal Radiology (New York)|January 11, 2021
CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinomaZhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
Biomedical Engineering Online|September 19, 2023
macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MINDZhiyong Zhou, Ben Hong, Xusheng Qian, et al.
Quantitative Imaging in Medicine and Surgery|November 16, 2023
An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation studyZhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
BMC Medical Imaging|July 25, 2024
Biparametric MRI of the prostate radiomics model for prediction of pelvic lymph node metastasis in prostate cancers : a two-centre studyChunxing Li, Jisu Hu, Zhiyuan Zhang, et al.
Medical & Biological Engineering & Computing|April 24, 2024
Uncertain prediction of deformable image registration on lung CT using multi-category features and supervised learningZhiyong Zhou, Pengfei Yin, Yuhang Liu, et al.
Medical Physics|November 22, 2022
Dual attention guided multiscale neural network trained with curriculum learning for noninvasive prediction of Gleason Grade Group from MRIJisu Hu, Ao Shen, Xiaomeng Qiao, et al.
Frontiers in Oncology|September 11, 2023
Multi-phase-combined CECT radiomics models for Fuhrman grade prediction of clear cell renal cell carcinomaZhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
Biomedical Engineering Online|June 16, 2018
Combining SENSE and reduced field-of-view for high-resolution diffusion weighted magnetic resonance imagingJisu Hu, Ming Li, Yakang Dai, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A new machine learning based user-friendly software platform for automatic radiomics modeling and analysisZhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
Scientific Reports|June 9, 2018
Accurate and Robust Non-rigid Point Set Registration using Student's-t Mixture Model with Prior Probability ModelingZhiyong Zhou, Jianfei Tu, Chen Geng, et al.
Abdominal Radiology (New York)|January 11, 2021
CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinomaZhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
Biomedical Engineering Online|September 19, 2023
macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MINDZhiyong Zhou, Ben Hong, Xusheng Qian, et al.
Quantitative Imaging in Medicine and Surgery|November 16, 2023
An artificial intelligence-assisted diagnosis modeling software (AIMS) platform based on medical images and machine learning: a development and validation studyZhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
BMC Medical Imaging|July 25, 2024
Biparametric MRI of the prostate radiomics model for prediction of pelvic lymph node metastasis in prostate cancers : a two-centre studyChunxing Li, Jisu Hu, Zhiyuan Zhang, et al.
Medical & Biological Engineering & Computing|April 24, 2024
Uncertain prediction of deformable image registration on lung CT using multi-category features and supervised learningZhiyong Zhou, Pengfei Yin, Yuhang Liu, et al.
Medical Physics|November 22, 2022
Dual attention guided multiscale neural network trained with curriculum learning for noninvasive prediction of Gleason Grade Group from MRIJisu Hu, Ao Shen, Xiaomeng Qiao, et al.
Frontiers in Oncology|September 11, 2023
Multi-phase-combined CECT radiomics models for Fuhrman grade prediction of clear cell renal cell carcinomaZhiyong Zhou, Xusheng Qian, Jisu Hu, et al.
Biomedical Engineering Online|June 16, 2018
Combining SENSE and reduced field-of-view for high-resolution diffusion weighted magnetic resonance imagingJisu Hu, Ming Li, Yakang Dai, et al.
Pageof 2