Dr Jinming Duan BSc PhD

Dr Jinming Duan

School of Computer Science
Lecturer of Computer Science

Contact details

Address
The School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Dr Jinming Duan is a Lecturer in Artificial Intelligence in Medicine. His work focuses on cutting-edge machine learning methods for cardiovascular imaging. His PhD thesis focused on modern variational and partial differential equation (PDE)-based methods, with applications to image processing and analysis. He is a lead collaborator of the EPSRC SmartHeart Programme at University of Birmingham. 

His research works have appeared across multiple application publications, including proceedings such as MICCAI, and journals such as Nature Machine Intelligence, IEEE Transactions on Medical Imaging, IEEE Transactions on Image Processing, etc. He regularly reviews more than 30 reputable journals.

For more information, please see Dr Jinming's Computer Science profile.

 

 

Biography

Before moving to University of Birmingham, he was a Research Associate jointly within Department of Computing and Institute of Clinical Sciences at Imperial College London. There, he has been working closely with Prof. Daniel Rueckert , and researching cutting-edge artificial intelligence methods for cardiovascular imaging. Prior to that, he studied his PhD in Computer Science at University of Nottingham. His PhD thesis focused on modern variational and partial differential equation (PDE)-based methods, with applications to image processing and analysis. He acquired both his undergraduate and master degrees in Computer Science.

 His research works have appeared across multiple application publications, including proceedings such as International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), and journals such as Nature Machine Intelligence, IEEE Transactions on Medical Imaging, IEEE Transactions on Image Processing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Pattern Recognition, Physics in Medicine and Biology, Journal of Mathematical Imaging and Vision, Journal of Global Optimisation, etc. He regularly reviews more than 30 reputable journals.

Research

His research includes deep neural nets, variational methods, partial/ordinary differential equations, numerical optimisation, and finite difference/element methods, with applications to image processing, computer vision and medical imaging analysis.

Publications

Recent publications

Article

Qin, C, Duan, J, Hammernik, K, Schlemper, J, Küstner, T, Botnar, R, Prieto, C, Price, AN, Hajnal, JV & Rueckert, D 2021, 'Complementary time-frequency domain networks for dynamic parallel MR image reconstruction', Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.28917

Jia, X, Thorley, A, Chen, W, Qiu, H, Shen, L, Styles, IB, Chang, HJ, Leonardis, A, De Marvao, A, O'Regan, DP, Rueckert, D & Duan, J 2021, 'Learning a Model-Driven Variational Network for Deformable Image Registration', IEEE Transactions on Medical Imaging. https://doi.org/10.1109/TMI.2021.3108881

de Marvao, A, McGurk, KA, Zheng, SL, Thanaj, M, Bai, W, Duan, J, Biffi, C, Mazzarotto, F, Statton, B, Dawes, TJW, Savioli, N, Halliday, BP, Xu, X, Buchan, RJ, Baksi, AJ, Quinlan, M, Tokarczuk, P, Tayal, U, Francis, C, Whiffin, N, Theotokis, PI, Zhang, X, Jang, M, Berry, A, Pantazis, A, Barton, PJR, Rueckert, D, Prasad, SK, Walsh, R, Ho, CY, Cook, SA, Ware, JS & O'Regan, DP 2021, 'Phenotypic expression and outcomes in individuals with rare genetic variants of hypertrophic cardiomyopathy', Journal of the American College of Cardiology, vol. 78, no. 11, pp. 1097-1110. https://doi.org/10.1016/j.jacc.2021.07.017

Karwath, A, Bunting, KV, Gill, SK, Tica, O, Pendleton, S, Aziz, F, Barsky, AD, Chernbumroong, S, Duan, J, Mobley, AR, Cardoso, VR, Slater, L, Williams, JA, Bruce, E, Wang, X, Flather, MD, Coats, AJS, Gkoutos, GV & Kotecha, D 2021, 'Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis', The Lancet, vol. 2021, pp. 1-9. https://doi.org/10.1016/s0140-6736(21)01638-x

Hammernik, K, Schlemper, J, Qin, C, Duan, J, Summers, RM & Rueckert, D 2021, 'Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination', Magnetic Resonance in Medicine, vol. 86, no. 4, pp. 1859-1872. https://doi.org/10.1002/mrm.28827

Biffi, C, Cerrolaza, JJ, Tarroni, G, Bai, W, de Marvao, A, Oktay, O, Ledig, C, Le Folgoc, L, Kamnitsas, K, Doumou, G, Duan, J, Prasad, SK, Cook, SA, O'Regan, DP & Rueckert, D 2020, 'Explainable anatomical shape analysis through deep hierarchical generative models', IEEE Transactions on Medical Imaging, vol. 39, no. 6, pp. 2088-2099. https://doi.org/10.1109/TMI.2020.2964499

Phua, AIH, Le, T-T, Tara, SW, De Marvao, A, Duan, J, Toh, D-F, Ang, B, Bryant, JA, O'Regan, DP, Cook, SA & Chin, CWL 2020, 'Paradoxical Higher Myocardial Wall Stress and Increased Cardiac Remodeling Despite Lower Mass in Females', Journal of the American Heart Association. https://doi.org/10.1161/JAHA.119.014781

Xie, W, Shen, L & Duan, J 2019, 'Adaptive weighting of handcrafted feature losses for facial expression recognition', IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2019.2925095

Hou, G, Pan, Z, Wang, G, Yang, H & Duan, J 2019, 'An efficient nonlocal variational method with application to underwater image restoration', Neurocomputing, vol. 369, pp. 106-121. https://doi.org/10.1016/j.neucom.2019.08.041

Mu, Y, Huang, B, Pan, Z, Yang, H, Hou, G & Duan, J 2019, 'An enhanced high-order variational model based on speckle noise removal with Gdistribution', IEEE Access, vol. 7, pp. 104365-104379. https://doi.org/10.1109/ACCESS.2019.2931581

Conference contribution

Chen, W, Jia, X, Chang, HJ, Duan, J, Shen, L & Leonardis, A 2021, FS-Net: fast shape-based network for category-level 6D object pose estimation with decoupled rotation mechanism. in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition., IEEE, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, United States, 21/06/21.

Chen, W, Jia, X, Chang, HJ, Duan, J & Leonardis, A 2020, G2L-Net:Global to local network for real-time 6D pose estimation with embedding vector features. in IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 4232-4241, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Virtual, Online, United States, 14/06/20. https://doi.org/10.1109/CVPR42600.2020.00429

Lu, W, Jia, X, Xie, W, Shen, L, Zhou, Y & Duan, J 2020, Geometry Constrained Weakly Supervised Object Localization. in 16th European Conference Computer Vision – ECCV 2020. Springer, pp. 481-496.

Chen, W, Duan, J, Basevi, H, Chang, HJ & Leonardis, A 2020, PointPoseNet:Point pose network for robust 6D object pose estimation. in Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020., 9093272, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Institute of Electrical and Electronics Engineers (IEEE), pp. 2813-2822, 2020 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, United States, 1/03/20. https://doi.org/10.1109/WACV45572.2020.9093272

Review article

Chen, C, Qin, C, Qiu, H, Tarroni, G, Duan, J, Bai, W & Rueckert, D 2020, 'Deep Learning for Cardiac Image Segmentation: A Review', Frontiers in cardiovascular medicine, vol. 7, pp. 25. https://doi.org/10.3389/fcvm.2020.00025

View all publications in research portal