Yongai Li - Concepedia

Author

Yongai Li

Jinshan Hospital of Fudan University ORCID

Also Known As

Yong'ai Li, Yong-Ai Li, Yong-ai Li, Yongai Li, Yong’ai Li

Publications

502

Citations

H-Index

Concepts

All Affiliations

Jinshan Hospital of Fudan University Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences XinHua Hospital Shanghai Jiao Tong University

About

Yongai Li is an author at Jinshan Hospital of Fudan University specializing in ovarian cancer, engineering, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	146
2	Health Sciences	3	3	150
3	Obstetrics	3	3	103
4	Medicine	2	2	66
5	Pathology	1	1	78

Yongai Li

Publications

439

Citations

H-Index

Page 1

	Year	Citations
Multiparametric MRI‐Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early‐Stage Cervical Cancer Meiling Xiao, Fenghua Ma, Ying Li, Journal of Magnetic Resonance Imaging	2020	80
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers Junming Jian, Yongai Li, Perry J. Pickhardt, European Radiology Mr Image-based RadiomicsEngineeringHealth SciencesMedical ImagingOncologic Imaging	2020	78
MRI‐Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study Yongai Li, Junming Jian, Perry J. Pickhardt, Journal of Magnetic Resonance Imaging	2020	59
Quantitative dynamic contrast-enhanced MR imaging for differentiating benign, borderline, and malignant ovarian tumors Haiming Li, Feng Feng, Jinwei Qiang, Abdominal Radiology RadiologyEngineeringMedical ImagingBiomedical ImagingGynecology	2018	37
Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram Haiming Li, Rui Zhang, Ruimin Li, European Radiology Residual DiseaseHealth SciencesMedical ImagingCancer DetectionMedicine	2021	35
Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images Dingdu Hu, Junming Jian, Yongai Li, Quantitative Imaging in Medicine and Surgery	2023	33
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 tumors Junming Jian, Wei Xia, Rui Zhang, Artificial Intelligence in Medicine Multiple Instance LearningEngineeringMachine LearningDeep LearningModality-based Attention	2021	31
Histogram Analysis Comparison of Monoexponential, Advanced Diffusion‐Weighted Imaging, and Dynamic Contrast‐Enhanced MRI for Differentiating Borderline From Malignant Epithelial Ovarian Tumors Mengge He, Yang Song, Haiming Li, Journal of Magnetic Resonance Imaging	2020	27
<scp>MRI‐Based</scp> Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors Junming Jian, Yongai Li, Wei Xia, Journal of Magnetic Resonance Imaging	2021	23
Predicting Disease-Free Survival With Multiparametric MRI-Derived Radiomic Signature in Cervical Cancer Patients Underwent CCRT Bing Liu, Zhen Sun, Ziliang Xu, Frontiers in Oncology	2022	15

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