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Academic Radiology
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December 28, 2021
Radiomics Features at Multiparametric MRI Predict Disease-Free Survival in Patients With Locally Advanced Rectal Cancer
Yanfen Cui, Guanghui Wang, Jialiang Ren, et al.
European Radiology
|
June 15, 2020
MR imaging of epithelial ovarian cancer: a combined model to predict histologic subtypes
LuoDan Qian, JiaLiang Ren, AiShi Liu, et al.
Frontiers in Oncology
|
September 2, 2022
Malignancy risk of gastrointestinal stromal tumors evaluated with noninvasive radiomics: A multi-center study
Yun Wang, Yurui Wang, Jialiang Ren, et al.
American Journal of Cancer Research
|
February 12, 2021
Predicting <i>EGFR</i> mutation status in lung adenocarcinoma: development and validation of a computed tomography-based radiomics signature
Guojin Zhang, Yuntai Cao, Jing Zhang, et al.
Frontiers in Oncology
|
August 21, 2023
Quantitative analysis of chest MRI images for benign malignant diagnosis of pulmonary solid nodules
Bin Yang, Yeqi Gao, Jie Lu, et al.
Digestive Diseases and Sciences
|
October 4, 2023
A Nomogram of Magnetic Resonance Imaging for Preoperative Assessment of Microvascular Invasion and Prognosis of Hepatocellular Carcinoma
Lili Wang, Yanyan Zhang, Junfeng Li, et al.
Frontiers in Oncology
|
January 31, 2022
Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space Invasion
Gang Huang, Yaqiong Cui, Ping Wang, et al.
Abdominal Radiology (New York)
|
October 16, 2023
Computed tomography radiomics identification of T1-2 and T3-4 stages of esophageal squamous cell carcinoma: two-dimensional or three-dimensional?
Yang Li, Li Yang, Xiaolong Gu, et al.
Annals of Translational Medicine
|
March 12, 2021
Automatic segmentation of pulmonary lobes on low-dose computed tomography using deep learning
Zewei Zhang, Jialiang Ren, Xiuli Tao, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
|
August 6, 2022
Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study
Jiayi Zhang, Yanfen Cui, Kaikai Wei, et al.
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Search research articles
Search
Showing results (41-50 of 93) with videos related to
Sort By:
Page
of 10
Academic Radiology
|
December 28, 2021
Radiomics Features at Multiparametric MRI Predict Disease-Free Survival in Patients With Locally Advanced Rectal Cancer
Yanfen Cui, Guanghui Wang, Jialiang Ren, et al.
European Radiology
|
June 15, 2020
MR imaging of epithelial ovarian cancer: a combined model to predict histologic subtypes
LuoDan Qian, JiaLiang Ren, AiShi Liu, et al.
Frontiers in Oncology
|
September 2, 2022
Malignancy risk of gastrointestinal stromal tumors evaluated with noninvasive radiomics: A multi-center study
Yun Wang, Yurui Wang, Jialiang Ren, et al.
American Journal of Cancer Research
|
February 12, 2021
Predicting <i>EGFR</i> mutation status in lung adenocarcinoma: development and validation of a computed tomography-based radiomics signature
Guojin Zhang, Yuntai Cao, Jing Zhang, et al.
Frontiers in Oncology
|
August 21, 2023
Quantitative analysis of chest MRI images for benign malignant diagnosis of pulmonary solid nodules
Bin Yang, Yeqi Gao, Jie Lu, et al.
Digestive Diseases and Sciences
|
October 4, 2023
A Nomogram of Magnetic Resonance Imaging for Preoperative Assessment of Microvascular Invasion and Prognosis of Hepatocellular Carcinoma
Lili Wang, Yanyan Zhang, Junfeng Li, et al.
Frontiers in Oncology
|
January 31, 2022
Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space Invasion
Gang Huang, Yaqiong Cui, Ping Wang, et al.
Abdominal Radiology (New York)
|
October 16, 2023
Computed tomography radiomics identification of T1-2 and T3-4 stages of esophageal squamous cell carcinoma: two-dimensional or three-dimensional?
Yang Li, Li Yang, Xiaolong Gu, et al.
Annals of Translational Medicine
|
March 12, 2021
Automatic segmentation of pulmonary lobes on low-dose computed tomography using deep learning
Zewei Zhang, Jialiang Ren, Xiuli Tao, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
|
August 6, 2022
Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study
Jiayi Zhang, Yanfen Cui, Kaikai Wei, et al.
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of 10