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Liming Zhong

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

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Cancer Imaging : the Official Publication of the International Cancer Imaging Society|October 27, 2023
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomasYin Li, Kaiyi Zheng, Shuang Li, et al.
BMC Cancer|June 4, 2020
Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinomaBin Zhang, Zhouyang Lian, Liming Zhong, et al.
International Journal of Surgery (London, England)|February 20, 2024
A novel stratification scheme combined with internal arteries in CT imaging for guiding postoperative adjuvant transarterial chemoembolization in hepatocellular carcinoma: a retrospective cohort studyXinming Li, Xiangjing Liang, Zhipeng Li, et al.
Applied Bionics and Biomechanics|July 26, 2019
Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image PriorsYunbi Liu, Wei Yang, Guangnan She, et al.
European Radiology|November 10, 2022
External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor studyQiurong Wei, Zeli Chen, Yehuan Tang, et al.
Neuroimage|September 15, 2020
(TS)<sup>2</sup>WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma PatientsLiming Zhong, Tengfei Li, Hai Shu, et al.
European Journal of Radiology|May 11, 2024
A radiograph-based deep learning model improves radiologists' performance for classification of histological types of primary bone tumors: A multicenter studyZhuoyao Xie, Huanmiao Zhao, Liwen Song, et al.
Frontiers in Oncology|February 21, 2025
A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancerYin Li, Shuang Li, Ruolin Xiao, et al.
International Journal of Surgery (London, England)|December 11, 2025
Development and validation of a CT-based online calculator for prognosis and postoperative adjuvant transcatheter arterial chemoembolization benefit prediction in resected hepatocellular carcinoma: a multicenter retrospective cohort studyXinming Li, Xiangjing Liang, Shuting Chen, et al.
Neuroimage|October 15, 2018
Limits to anatomical accuracy of diffusion tractography using modern approachesKurt G Schilling, Vishwesh Nath, Colin Hansen, et al.
Pageof 4

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

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 40 results.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|October 27, 2023
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomasYin Li, Kaiyi Zheng, Shuang Li, et al.
BMC Cancer|June 4, 2020
Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinomaBin Zhang, Zhouyang Lian, Liming Zhong, et al.
International Journal of Surgery (London, England)|February 20, 2024
A novel stratification scheme combined with internal arteries in CT imaging for guiding postoperative adjuvant transarterial chemoembolization in hepatocellular carcinoma: a retrospective cohort studyXinming Li, Xiangjing Liang, Zhipeng Li, et al.
Applied Bionics and Biomechanics|July 26, 2019
Soft Tissue/Bone Decomposition of Conventional Chest Radiographs Using Nonparametric Image PriorsYunbi Liu, Wei Yang, Guangnan She, et al.
European Radiology|November 10, 2022
External validation and comparison of MR-based radiomics models for predicting pathological complete response in locally advanced rectal cancer: a two-centre, multi-vendor studyQiurong Wei, Zeli Chen, Yehuan Tang, et al.
Neuroimage|September 15, 2020
(TS)<sup>2</sup>WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma PatientsLiming Zhong, Tengfei Li, Hai Shu, et al.
European Journal of Radiology|May 11, 2024
A radiograph-based deep learning model improves radiologists' performance for classification of histological types of primary bone tumors: A multicenter studyZhuoyao Xie, Huanmiao Zhao, Liwen Song, et al.
Frontiers in Oncology|February 21, 2025
A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancerYin Li, Shuang Li, Ruolin Xiao, et al.
International Journal of Surgery (London, England)|December 11, 2025
Development and validation of a CT-based online calculator for prognosis and postoperative adjuvant transcatheter arterial chemoembolization benefit prediction in resected hepatocellular carcinoma: a multicenter retrospective cohort studyXinming Li, Xiangjing Liang, Shuting Chen, et al.
Neuroimage|October 15, 2018
Limits to anatomical accuracy of diffusion tractography using modern approachesKurt G Schilling, Vishwesh Nath, Colin Hansen, et al.
Pageof 4