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Jin Renchao Professor of Computer Science Phone: 027-87792212 Email: jrc@hust.edu.cn Academic Areas: Artificial Intelligence, Medical Image Processing and Analysis, Computer Vision |
Personal Profile
Dr. Jin Renchao, is now a professor and supervisor of doctoral candidates in the Medical Image Information Research Center of the Institute of Digital Media, School of Computer Science and Technology, Huazhong University of Science and Technology. He is mainly engaged in artificial intelligence, medical image processing and analysis, and computer vision research.
Academic Degrees
1994.9 ~ 1998.12
Huazhong University of Science and Technology - Computer Software and Theory - Doctoral Degree - Graduate (Doctor)
1986.9 ~ 1989.6
Huazhong University of Science and Technology (formerly Huazhong University of Technology) - Computer Software and Theory - Master’s Degree of Engineering - Graduate (Master)
1982.9 ~ 1986.9
Huazhong University of Science and Technology (formerly Huazhong University of Technology) - Computer Software and Theory - Bachelor”s Degree of Engineering - Graduate (Bachelor)
Professional Experience
1994.5 - now
Lecturer, associate professor and professor in the Computer Theory Research Institute and Medical Image Information Research Center of the School of Computer Science and Technology of Huazhong University of Science and Technology
1989.6 -1994.5:
Assistant engineer and then engineer in the CAD Department of Wuhan Computer External Equipment Research Institute of the Ministry of Mechanical and Electrical Engineering
Courses Taught
Discrete Mathematics
Computability and Computational Complexity
Medical Image Processing
Awards and Honors
[1] Beijing "International Invitational Tournament of SAT Problem Fast Algorithm", champion, March 1996.
[2] National University Science and Technology Award, the first prize, the title of the award-winning project: "High performance algorithm for P=? NP problems and NP hard problems", 2001.
[3] Hubei Provincial Science and Technology Progress Award, the second prize, the name of the award-winning project: "Medical and health decision support platform based on intelligent integration of massive heterogeneous data", 2010.
[4] Hubei Provincial Science and Technology Progress Award, the third prize, the name of the award-winning project: "Medical Image Feature Quantitative Analysis System", 2012.
[5] Geneva International Invention Expo, silver prize, name of the award-winning project: 3D medical imaging workstation, 2014.
[6] Nanning Science and Technology Progress Award, the second prize, the title of the award-winning project: Computer aided pulmonary nodule detection method and clinical application research based on three-dimensional CT images, 2014.
[7] Guangxi Science and Technology Progress Award, the third prize, and the title of the award-winning project: Computer aided pulmonary nodule detection method and clinical application research based on 3D CT images, 2015.
Selected Projects Funded
[1] General Program of NSFC, "Research on Integrated Algorithm of 4D-CT Lung Cancer Focus Segmentation and Motion Tracking" (Program Approval No.: 81671768)
[2] National Development and Reform Commission CNGI special sub-project "IPv6 based large-scale high-performance grid application" "IPv6 based medical image processing grid application" (project number: CNGI-04-15-7A)
[3] National 863 Program "Grid based Digital Medical Decision Support System" (Project Approval Number: 2006AA02Z347)
[4] National International Science and Technology Cooperation Program (Sino British Joint Innovation Project ICUK) "Quantitative Analysis System of Medical Image Features" (Project Number: 2009DFA12290)
[5] Guangxi Scientific Research and Technology Development Plan, "Research on Computer Aided Detection of Pulmonary Nodules Based on 3D CT Images" (Assignment Number: GKCA 0816004-18)
Selected Publications
[1] Wang, Manyang, Renchao Jin(corresponding author), Jiayi Lu, Enmin Song, and Guangzhi Ma. "Automatic Ct Liver Couinaud Segmentation Based on Key Bifurcation Detection with Attentive Residual Hourglass-Based Cascaded Network." Computers in Biology and Medicine 144 (2022): 105363
[2] Lu, Jiayi, Renchao Jin(corresponding author), Enmin Song, Guangzhi Ma, and Manyang Wang. "Lung-Crnet: A Convolutional Recurrent Neural Network for Lung 4dct Image Registration." Medical Physics 48, no. 12 (2021): 7900-12.
[3] Lu, Jiayi, Renchao Jin(corresponding author), Enmin Song, Mubarak Alrashoud, Khaled N. Al-Mutib, and Mabrook S. Al-Rakhami. "An Explainable System for Diagnosis and Prognosis of Covid-19." IEEE Internet of Things Journal 8, no. 21 (2021): 15839-46
[4] Wang, Manyang, Renchao Jin(corresponding author), Nanchuan Jiang, Hong Liu, Shan Jiang, Kang Li, and XueXin Zhou. "Automated Labeling of the Airway Tree in Terms of Lobes Based on Deep Learning of Bifurcation Point Detection." Medical & Biological Engineering & Computing 58, no. 9 (2020): 2009-24
[5] Lan, Yihua, and Renchao Jin(corresponding author). "Automatic Segmentation of the Left Ventricle from Cardiac Mri Using Deep Learning and Double Snake Model." IEEE Access 7 (2019): 128641-50.
[6] Jin, Renchao, Yongchuan Liu, Mi Chen, Sheng Zhang, and Enmin Song. "Contour Propagation for Lung Tumor Delineation in 4d-Ct Using Tensor-Product Surface of Uniform and Non-Uniform Closed Cubic B-Splines." Physics in Medicine and Biology 63, no. 1 (Jan 2018): 015017
[7] Yongchuan Liu, Renchao Jin(corresponding author), Mi Chen, Enmin Song, Xiangyang Xu, Sheng Zhang, Chih-Cheng Hung, Contour propagation using non-uniform cubic B-splines for lung tumor delineation in 4D-CT, Int J CARS (2016). (SCIcollection,doi:10.1007/s11548-016-1457-5 ).
[8] Renchao Jin, Shengrong Zhao, Xiangyang Xu, Enmin Song, Chih-Cheng Hung, Super-Resolving Barcode Images with an Edge-Preserving Variational Bayesian Framework. Journal of Electronic Imaging, 25(3): 033016 (Jun 09, 2016), 16 pages (SCIcollection,doi: 10.1117/1.JEI.25.3.033016 ).
[9] Renchao Jin, Shengrong Zhao, Xiangyang Xu, Enmin Song, Multiframe Superresolution of Vehicle License Plates Based on Distribution Estimation Approach, Journal of Control Science and Engineering,Volume 2016 (2016), Article ID 4194309, 19 pages (SCI collection, doi: 10.1155/2016/4194309 ).
[10] S Zhao, R Jin(corresponding author), X Xu, E Song, CC Hung, A Variational Bayesian Superresolution Approach Using Adaptive Image Prior Model, Mathematical Problems in Engineering, Volume 2015(2015), Article ID 469859, 13 pages (SCIcollectionWOS:000363194100001, doi: 10.1155/2015/469859 ).
[11] Hong Liu, Mali Yu, Renchao Jin(corresponding author), Enmin Song, Gang Li, Ling Lin, Fill light for grayscale superresolution, Opt. Eng. 52(7), 073105 (Jul 09, 2013). (SCI collection: 000322478600008, http://dx.doi.org/10.1117/1.OE.52.7.073105 ).
[12] Mali Yu, Enmin Song, Renchao Jin(corresponding author), Hong Liu, Guangzhi Ma, Chih-Cheng Hung, Automatic Segmentation of Lung Nodules Based on Intensity-Guided Active Contours, International Workshop on Graphics and Vision 2013, IWGV 2013, May 8-11, 2013, Tokyo, Japan.
[13] Hong Liu, Yaobin Zou, Renchao Jin(corresponding author), An effusion–evaporation model for image edge detection, Optics and Lasers in Engineering, Volume 49, Issue 7, July 2011: 946-953 (SCI collection: 000291078500030,http://dx.doi.org/10.1016/j.optlaseng.2011.02.005 ).
[14] Renchao Jin, Zhifang Min, Enmin Song, Hong Liu, Yinyu Ye, A novel fluence map optimization model incorporating leaf sequencing constraints, Phys. Med. Biol. 55 No 4, Feb 2010: 1243-1264(SCI collection: 000274206800023,http://www.iop.org/EJ/abstract/0031-9155/55/4/023/?rss=2.0 ).
[15] Qian Wang, Enmin Song, Renchao Jin(corresponding author), Ping Han, Xiaotong Wang, Yanying Zhou, Jianchao Zeng, Segmentation of lung nodules in computed tomography images using dynamic programming and multidirection fusion techniques, Academic Radiology, Vol. 16, Issue 6, June 2009: 678-688(SCI collection: 000266210300006,Elsevier:http://linkinghub.elsevier.com/retrieve/pii/S1076633208007691).
[16] Renchao Jin, Lijuan Zhang, Bo Meng, Enmin Song, Xiangyang Xu, Chih-Cheng Hung, A weighted average algorithm for edge-preserving smoothing on MRI images, Proc. SPIE 6144, 61446H, Medical Imaging 2006, SPIE, San Diego, CA USA. (EI Compendex 06259954632).
[17] Lugang Li, Renchao Jin(co-author), Poh-Lin Kok and Honghui Wan, Pseudo-periodic partitions of biological sequences, Bioinformatics, 2004 20(3):295-306 (SCI collection : 000188990900001).
[18] Renchao Jin,Wenqi Huang, Parallel Computing :An Effective Method to Improve the Efficiency of Solving SAT Problems,Journal of Software,2000,11(3): 398-400 (Inspec 6561953).
[19] Huang Wenqi, Jin Renchao, Quasiphysical and quasisociological algorithm Solar for solving SAT problem, Science in China (Series E), Vol.42, No.5, Oct. 1999: 485-493 (SCI collection: 000083317800006,http://www.springerlink.com/content/52251p2375061211/ ).
[20] Wenqi Huang,Renchao Jin,Simulation and Anthropomorphic Algorithm for Solving SAT Problems,Science China(Series E ),1997(2):179-186.
[21] RenchaoJin,Enmin Song,Wenqi Huang ,A New Lower Bound on Boolean Function Circuit Complexity,Chinese Journal of Computers,Vol. 17, No. 5, May 1994: 376-379 (Inspec 4755345).
Professional Affiliations
China Computer Industry Association
Research Group
CBIB
Enrollment Information
Personal Homepage
Web:http://faculty.hust.edu.cn/rjin/en/index.htm