Search research articles
Contact Us
Filters
Showing results (21-30 of 29) with videos related to
Page
of 3
Sort By:
You have reached the last page of results.
This site can display upto 29 results.
Cardiovascular and Interventional Radiology
|
July 27, 2022
Preoperative CECT-based Radiomic Signature for Predicting the Response of Transarterial Chemoembolization (TACE) Therapy in Hepatocellular Carcinoma
Honglin Bai, Siyu Meng, Chuanfeng Xiong, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
November 29, 2021
MRI-Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors
Junming Jian, Yong'ai Li, Wei Xia, et al.
Academic Radiology
|
July 10, 2023
Deep Learning-Based Fully Automated Segmentation of Regional Muscle Volume and Spatial Intermuscular Fat Using CT
Rui Zhang, Aiting He, Wei Xia, et al.
Brain Pathology (Zurich, Switzerland)
|
May 15, 2023
Contribution of whole slide imaging-based deep learning in the assessment of intraoperative and postoperative sections in neuropathology
Liting Shi, Lin Shen, Junming Jian, et al.
Lung Cancer (Amsterdam, Netherlands)
|
May 11, 2020
A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma
Xingyu Zhao, Xiang Wang, Wei Xia, et al.
Ebiomedicine
|
June 9, 2020
Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study
Xingyu Zhao, Peiyi Xie, Mengmeng Wang, et al.
Quantitative Imaging in Medicine and Surgery
|
October 13, 2025
Focal bone defects in type 2 diabetes mellitus patients with acute hip fractures
Yi Yuan, Rui Zhang, Minghui Yang, et al.
European Radiology
|
August 4, 2020
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers
Junming Jian, Yong'ai Li, Perry J Pickhardt, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 12, 2020
MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study
Yong'ai Li, Junming Jian, Perry J Pickhardt, et al.
Page
of 3
Search research articles
Search
Showing results (21-30 of 29) with videos related to
Sort By:
Page
of 3
You have reached the last page of results.
This site can display upto 29 results.
Cardiovascular and Interventional Radiology
|
July 27, 2022
Preoperative CECT-based Radiomic Signature for Predicting the Response of Transarterial Chemoembolization (TACE) Therapy in Hepatocellular Carcinoma
Honglin Bai, Siyu Meng, Chuanfeng Xiong, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
November 29, 2021
MRI-Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors
Junming Jian, Yong'ai Li, Wei Xia, et al.
Academic Radiology
|
July 10, 2023
Deep Learning-Based Fully Automated Segmentation of Regional Muscle Volume and Spatial Intermuscular Fat Using CT
Rui Zhang, Aiting He, Wei Xia, et al.
Brain Pathology (Zurich, Switzerland)
|
May 15, 2023
Contribution of whole slide imaging-based deep learning in the assessment of intraoperative and postoperative sections in neuropathology
Liting Shi, Lin Shen, Junming Jian, et al.
Lung Cancer (Amsterdam, Netherlands)
|
May 11, 2020
A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma
Xingyu Zhao, Xiang Wang, Wei Xia, et al.
Ebiomedicine
|
June 9, 2020
Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study
Xingyu Zhao, Peiyi Xie, Mengmeng Wang, et al.
Quantitative Imaging in Medicine and Surgery
|
October 13, 2025
Focal bone defects in type 2 diabetes mellitus patients with acute hip fractures
Yi Yuan, Rui Zhang, Minghui Yang, et al.
European Radiology
|
August 4, 2020
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers
Junming Jian, Yong'ai Li, Perry J Pickhardt, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 12, 2020
MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study
Yong'ai Li, Junming Jian, Perry J Pickhardt, et al.
Page
of 3