Junming Jian - Concepedia

Author

Junming Jian

Suzhou Institute of Biomedical Engineering and Technology ORCID

Also Known As

Jun Ming Jian, Jun-Ming Jian, Junming Jian, 简俊明 Jian Junming

Publications

918

Citations

H-Index

Concepts

All Affiliations

Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences University of Science and Technology of China Jinshan Hospital of Fudan University Sun Yat-sen University

About

Junming Jian is an author at Suzhou Institute of Biomedical Engineering and Technology specializing in radiology, oncology, and radiation oncology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Health Sciences	6	6	401
2	Engineering	5	5	273
3	Medicine	5	5	346
4	Hepatology	1	1	16
5	Obstetrics	1	1	31

Junming Jian

Publications

897

Citations

H-Index

Page 1

	Year	Citations
Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT? Xiang Wang, Xingyu Zhao, Qiong Li, European Radiology MedicineMultiple Pulmonary NoduleLymph Node MetastasisRadiomicsOncology	2019	188
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, EBioMedicine	2020	94
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
A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma Xingyu Zhao, Xiang Wang, Wei Xia, Lung Cancer EngineeringMachine LearningDeep LearningMedical Image AnalysisComputer-aided Diagnosis	2020	76
Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images Yi Dong, Zhou Liu, Wei Xia, Frontiers in Oncology	2020	63
Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images Junming Jian, Fei Xiong, Wei Xia, Australasian Physical & Engineering Sciences in Medicine Radiation OncologyImage AnalysisEngineeringDeep LearningMedical Imaging	2018	62
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
Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib Lei Zhang, Wei Xia, Zhiping Yan, Frontiers in Oncology	2020	41
CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy Fengchang Yang, Jiayi Zhang, Zhou Liu, European Radiology Tumor ResponseHealth SciencesOncologic ImagingMedicineMultiple Pulmonary Nodule	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

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