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Hongming Li
Yong Fan

Showing results (41-50 of 1,225) with videos related to

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Artificial Intelligence in Medicine|June 29, 2020
Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networksQinmu Peng, Minhui Ouyang, Jiaojian Wang, et al.
IEEE Transactions on Bio-Medical Engineering|January 30, 2020
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer PrognosisHangfan Liu, Hongming Li, Mohamad Habes, et al.
Urology|May 24, 2020
Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in ChildrenShi Yin, Qinmu Peng, Hongming Li, et al.
Zhonghua Wei Chang Wai Ke Za Zhi = Chinese Journal of Gastrointestinal Surgery|June 30, 2016
[Prevention of intraoperative incidental injuries during sphincter-preserving surgery for rectal cancer and management of postoperative complication]Fanghai Han, Hongming Li
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 26, 2020
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer PrognosisHangfan Liu, Hongming Li, Yuemeng Li, et al.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures : First International Workshop, UNSURE 2019, and 8Th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Sh|January 2, 2020
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound ImagingShi Yin, Qinmu Peng, Hongming Li, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 24, 2005
Phase diagrams for cohesive particle mixing and segregationHongming Li, J J McCarthy
Physical Review Letters|June 6, 2003
Controlling cohesive particle mixing and segregationHongming Li, J J McCarthy
International Journal of Radiation Oncology, Biology, Physics|December 17, 2020
Integration of Risk Survival Measures Estimated From Pre- and Posttreatment Computed Tomography Scans Improves Stratification of Patients With Early-Stage Non-small Cell Lung Cancer Treated With Stereotactic Body Radiation TherapyZhicheng Jiao, Hongming Li, Ying Xiao, et al.
Medical Image Analysis|January 27, 2023
Computing personalized brain functional networks from fMRI using self-supervised deep learningHongming Li, Dhivya Srinivasan, Chuanjun Zhuo, et al.
Pageof 123

Showing results (41-50 of 1,225) with videos related to

Sort By:
Pageof 123
Artificial Intelligence in Medicine|June 29, 2020
Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networksQinmu Peng, Minhui Ouyang, Jiaojian Wang, et al.
IEEE Transactions on Bio-Medical Engineering|January 30, 2020
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer PrognosisHangfan Liu, Hongming Li, Mohamad Habes, et al.
Urology|May 24, 2020
Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in ChildrenShi Yin, Qinmu Peng, Hongming Li, et al.
Zhonghua Wei Chang Wai Ke Za Zhi = Chinese Journal of Gastrointestinal Surgery|June 30, 2016
[Prevention of intraoperative incidental injuries during sphincter-preserving surgery for rectal cancer and management of postoperative complication]Fanghai Han, Hongming Li
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 26, 2020
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer PrognosisHangfan Liu, Hongming Li, Yuemeng Li, et al.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures : First International Workshop, UNSURE 2019, and 8Th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Sh|January 2, 2020
Multi-instance Deep Learning with Graph Convolutional Neural Networks for Diagnosis of Kidney Diseases Using Ultrasound ImagingShi Yin, Qinmu Peng, Hongming Li, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 24, 2005
Phase diagrams for cohesive particle mixing and segregationHongming Li, J J McCarthy
Physical Review Letters|June 6, 2003
Controlling cohesive particle mixing and segregationHongming Li, J J McCarthy
International Journal of Radiation Oncology, Biology, Physics|December 17, 2020
Integration of Risk Survival Measures Estimated From Pre- and Posttreatment Computed Tomography Scans Improves Stratification of Patients With Early-Stage Non-small Cell Lung Cancer Treated With Stereotactic Body Radiation TherapyZhicheng Jiao, Hongming Li, Ying Xiao, et al.
Medical Image Analysis|January 27, 2023
Computing personalized brain functional networks from fMRI using self-supervised deep learningHongming Li, Dhivya Srinivasan, Chuanjun Zhuo, et al.
Pageof 123