Author

Lu Cheng Zhi

Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences - Cited by 1,985 - medical image analysis - imaging-genomic analysis - machine learning

Biography

He is affiliated to Department of Cardiology, Tianjin First Central Hospital, Tianjin, China. He is a recipient of many awards and grants for his valuable contributions and discoveries in major area of subject research. His international experience includes various programs, contributions and participation in different countries for diverse fields of study. His research interests reflect in his wide range of publications in various national and international journals.
Title
Cited by
Year
A deep learning-based radiomics model for prediction of survival in glioblastoma multiforme
J Lao, Y Chen, ZC Li, Q Li, J Zhang, J Liu, G ZhaiScientific reports 7 (1), 10353, 2017201
498
2017
Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: a multicentre study
ZC Li, H Bai, Q Sun, Q Li, L Liu, Y Zou, Y Chen, C Liang, H ZhengEuropean radiology 28, 3640-3650, 2018201
126
2018
Comparison of transferred deep neural networks in ultrasonic breast masses discrimination
T Xiao, L Liu, K Li, W Qin, S Yu, Z LiBioMed research international 2018, 2018201
125
2018
A fully-automatic multiparametric radiomics model: towards reproducible and prognostic imaging signature for prediction of overall survival in glioblastoma multiforme
Q Li, H Bai, Y Chen, Q Sun, L Liu, S Zhou, G Wang, C Liang, ZC LiScientific reports 7 (1), 14331, 2017201
120
2017
Generative adversarial networks in medical image augmentation: A review
Y Chen, XH Yang, Z Wei, AA Heidari, N Zheng, Z Li, H Chen, H Hu, ...Computers in Biology and Medicine 144, 105382, 2022202
100
2022
Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma
ZC Li, H Bai, Q Sun, Y Zhao, Y Lv, J Zhou, C Liang, Y Chen, D Liang, ...Cancer medicine 7 (12), 5999-6009, 2018201
76
2018
Differentiation of clear cell and non-clear cell renal cell carcinomas by all-relevant radiomics features from multiphase CT: a VHL mutation perspective
ZC Li, G Zhai, J Zhang, Z Wang, G Liu, G Wu, D Liang, H ZhengEuropean radiology 29, 3996-4007, 2019201
67
2019
Gencore: an efficient tool to generate consensus reads for error suppressing and duplicate removing of NGS data
S Chen, Y Zhou, Y Chen, T Huang, W Liao, Y Xu, Z Li, J GuBMC bioinformatics 20 (23), 1-8, 2019201
41
2019
Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer
S Xu, Q Yao, G Liu, D Jin, H Chen, J Xu, Z Li, G WuEuropean radiology 30, 1804-1812, 2020202
35
2020
Radiomic features from multi-parameter MRI combined with clinical parameters predict molecular subgroups in patients with medulloblastoma
J Yan, L Liu, W Wang, Y Zhao, KKW Li, K Li, L Wang, B Yuan, H Geng, ...Frontiers in Oncology 10, 558162, 2020202
34
2020
Genetic biomarkers for hepatocellular carcinoma in the era of precision medicine
J Duan, Y Wu, J Liu, J Zhang, Z Fu, T Feng, M Liu, J Han, Z Li, S ChenJournal of Hepatocellular Carcinoma, 151-166, 2019201
31
2019
A Computational Toolset for Rapid Identification of SARS-CoV-2, other Viruses, and Microorganisms from Sequencing Data
S Chen, C He, Y Li, Z Li, CE MelanconBriefings in Bioinformatics, 2020202
30
2020
Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities
J Yan, Y Zhao, Y Chen, W Wang, W Duan, L Wang, S Zhang, T Ding, L Liu, ...EBioMedicine 72, 2021202
24
2021
Biologic pathways underlying prognostic radiomics phenotypes from paired MRI and RNA sequencing in glioblastoma
Q Sun, Y Chen, C Liang, Y Zhao, X Lv, Y Zou, K Yan, H Zheng, D Liang, ...Radiology 301 (3), 654-663, 212
20
2021
Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma
J Yan, S Zhang, KKW Li, W Wang, K Li, W Duan, B Yuan, L Wang, L Liu, ...EBioMedicine 61, 2020202
18
2020
Automatic image-domain Moiré artifact reduction method in grating-based x-ray interferometry imaging
J Chen, J Zhu, Z Li, W Shi, Q Zhang, Z Hu, H Zheng, D Liang, Y GePhysics in Medicine & Biology 64 (19), 195013, 2019201
15
2019
Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling …
Y Zhao, G Liu, Q Sun, G Zhai, G Wu, ZC LiEuropean Radiology 31, 5032-5040, 2021202
12
2021
Enhancing the X-ray differential phase contrast image quality with deep learning technique
Y Ge, P Liu, Y Ni, J Chen, J Yang, T Su, H Zhang, J Guo, H Zheng, Z Li, ...IEEE Transactions on Biomedical Engineering 68 (6), 1751-1758, 2020202
12
2020
Dual-region radiomics signature: Integrating primary tumor and lymph node computed tomography features improves survival prediction in esophageal squamous cell cancer
N Lu, W Zhang, L Dong, J Chen, Y Zhu, S Zhang, J Fu, S Yin, ZC Li, C XieComputer Methods and Programs in Biomedicine 208, 6287, 2021202
10
2021
Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer
S Zhang, M Song, Y Zhao, S Xu, Q Sun, G Zhai, D Liang, G Wu, ZC LiEuropean Journal of Radiology 131, 9219, 2020202
10
2020

Referred From: https://scholar.google.co.in/citations?user=enSLaTUAAAAJ&hl=en

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Citations 1985
h-index 21
i10-index 31
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