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Hongming Li
Yong Fan

Showing results (31-40 of 1,225) with videos related to

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Proceedings. IEEE International Symposium on Biomedical Imaging|July 14, 2025
SegCSR: WEAKLY-SUPERVISED CORTICAL SURFACES RECONSTRUCTION FROM BRAIN RIBBON SEGMENTATIONSHao Zheng, Xiaoyang Chen, Hongming Li, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 27, 2023
Harmonization of multi-site functional connectivity measures in tangent space improves brain age predictionZhen Zhou, Dhivya Srinivasan, Hongming Li, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|January 14, 2020
DEEP CONVOLUTIONAL NEURAL NETWORKS FOR IMAGING DATA BASED SURVIVAL ANALYSIS OF RECTAL CANCERHongming Li, Pamela Boimel, James Janopaul-Naylor, et al.
International Journal of Radiation Oncology, Biology, Physics|November 14, 2021
Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With Stereotactic Body Radiation TherapyZhicheng Jiao, Hongming Li, Ying Xiao, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 6, 2019
COLLABORATIVE CLUSTERING OF SUBJECTS AND RADIOMIC FEATURES FOR PREDICTING CLINICAL OUTCOMES OF RECTAL CANCER PATIENTSHangfan Liu, Hongming Li, Pamela Boimel, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 6, 2019
FULLY-AUTOMATIC SEGMENTATION OF KIDNEYS IN CLINICAL ULTRASOUND IMAGES USING A BOUNDARY DISTANCE REGRESSION NETWORKShi Yin, Zhengqiang Zhang, Hongming Li, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 16, 2025
Uncovering functional connectivity patterns predictive of cognition in youth using interpretable predictive modelingHongming Li, Matthew Cieslak, Taylor Salo, et al.
Journal of Neuroimmunology|April 24, 2015
Tumor border sharpness correlates with HLA-G expression in low-grade gliomasYinyan Wang, Xing Fan, Hongming Li, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|April 14, 2021
Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging DataShi Yin, Qinmu Peng, Hongming Li, et al.
Medical Image Analysis|November 25, 2019
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networksShi Yin, Qinmu Peng, Hongming Li, et al.
Pageof 123

Showing results (31-40 of 1,225) with videos related to

Sort By:
Pageof 123
Proceedings. IEEE International Symposium on Biomedical Imaging|July 14, 2025
SegCSR: WEAKLY-SUPERVISED CORTICAL SURFACES RECONSTRUCTION FROM BRAIN RIBBON SEGMENTATIONSHao Zheng, Xiaoyang Chen, Hongming Li, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 27, 2023
Harmonization of multi-site functional connectivity measures in tangent space improves brain age predictionZhen Zhou, Dhivya Srinivasan, Hongming Li, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|January 14, 2020
DEEP CONVOLUTIONAL NEURAL NETWORKS FOR IMAGING DATA BASED SURVIVAL ANALYSIS OF RECTAL CANCERHongming Li, Pamela Boimel, James Janopaul-Naylor, et al.
International Journal of Radiation Oncology, Biology, Physics|November 14, 2021
Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With Stereotactic Body Radiation TherapyZhicheng Jiao, Hongming Li, Ying Xiao, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 6, 2019
COLLABORATIVE CLUSTERING OF SUBJECTS AND RADIOMIC FEATURES FOR PREDICTING CLINICAL OUTCOMES OF RECTAL CANCER PATIENTSHangfan Liu, Hongming Li, Pamela Boimel, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|December 6, 2019
FULLY-AUTOMATIC SEGMENTATION OF KIDNEYS IN CLINICAL ULTRASOUND IMAGES USING A BOUNDARY DISTANCE REGRESSION NETWORKShi Yin, Zhengqiang Zhang, Hongming Li, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 16, 2025
Uncovering functional connectivity patterns predictive of cognition in youth using interpretable predictive modelingHongming Li, Matthew Cieslak, Taylor Salo, et al.
Journal of Neuroimmunology|April 24, 2015
Tumor border sharpness correlates with HLA-G expression in low-grade gliomasYinyan Wang, Xing Fan, Hongming Li, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|April 14, 2021
Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging DataShi Yin, Qinmu Peng, Hongming Li, et al.
Medical Image Analysis|November 25, 2019
Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networksShi Yin, Qinmu Peng, Hongming Li, et al.
Pageof 123