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Yong'ai Li

Showing results (1-10 of 11) with videos related to

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Medical Image Analysis|December 17, 2025
CIA-net: Cross-modality interaction and aggregation network for ovarian tumor segmentation from multi-modal MRIYifan Gao, Yong'ai Li, Xin Gao
Journal of Magnetic Resonance Imaging : JMRI|March 22, 2024
Peritumoral MRI Radiomics Features Increase the Evaluation Efficiency for Response to Chemotherapy in Patients With Epithelial Ovarian CancerYong'ai Li, Junming Jian, Huijie Ge, et al.
Abdominal Radiology (New York)|November 18, 2022
Whole-tumor ADC histogram analysis for differentiating endometriosis-related tumors: seromucinous borderline tumor, clear cell carcinoma and endometrioid carcinomaJing Lu, Shuhui Zhao, Fenghua Ma, et al.
Human Vaccines & Immunotherapeutics|January 22, 2026
Development and validation of a predictive model for high-risk immune-related adverse events in gastric cancer patients treated with ICIsLi Ma, Junbo Wu, Yunyi Du, et al.
Artificial Intelligence in Medicine|November 12, 2021
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumorsJunming Jian, Wei Xia, Rui Zhang, et al.
Frontiers in Neuroscience|July 1, 2025
Brain functional alterations in early stage of coal workers' pneumoconiosis with alcoholism: insights from a resting-state fMRI investigationBoting Xue, Gang Cao, Lingling Ren, 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 TumorsJunming Jian, Yong'ai Li, Wei Xia, et al.
BMC Cancer|December 2, 2025
A novel nomogram based on DLL3 and PD-L1 for predicting the prognosis of patients with small cell lung cancerXiaoling Zhang, Weiling Li, Yunyi Du, et al.
European Radiology|April 17, 2021
Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogramHaiming Li, Rui Zhang, Ruimin Li, et al.
European Radiology|August 4, 2020
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancersJunming Jian, Yong'ai Li, Perry J Pickhardt, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Medical Image Analysis|December 17, 2025
CIA-net: Cross-modality interaction and aggregation network for ovarian tumor segmentation from multi-modal MRIYifan Gao, Yong'ai Li, Xin Gao
Journal of Magnetic Resonance Imaging : JMRI|March 22, 2024
Peritumoral MRI Radiomics Features Increase the Evaluation Efficiency for Response to Chemotherapy in Patients With Epithelial Ovarian CancerYong'ai Li, Junming Jian, Huijie Ge, et al.
Abdominal Radiology (New York)|November 18, 2022
Whole-tumor ADC histogram analysis for differentiating endometriosis-related tumors: seromucinous borderline tumor, clear cell carcinoma and endometrioid carcinomaJing Lu, Shuhui Zhao, Fenghua Ma, et al.
Human Vaccines & Immunotherapeutics|January 22, 2026
Development and validation of a predictive model for high-risk immune-related adverse events in gastric cancer patients treated with ICIsLi Ma, Junbo Wu, Yunyi Du, et al.
Artificial Intelligence in Medicine|November 12, 2021
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumorsJunming Jian, Wei Xia, Rui Zhang, et al.
Frontiers in Neuroscience|July 1, 2025
Brain functional alterations in early stage of coal workers' pneumoconiosis with alcoholism: insights from a resting-state fMRI investigationBoting Xue, Gang Cao, Lingling Ren, 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 TumorsJunming Jian, Yong'ai Li, Wei Xia, et al.
BMC Cancer|December 2, 2025
A novel nomogram based on DLL3 and PD-L1 for predicting the prognosis of patients with small cell lung cancerXiaoling Zhang, Weiling Li, Yunyi Du, et al.
European Radiology|April 17, 2021
Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogramHaiming Li, Rui Zhang, Ruimin Li, et al.
European Radiology|August 4, 2020
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancersJunming Jian, Yong'ai Li, Perry J Pickhardt, et al.
Pageof 2