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 Âé¶¹¾«Ñ¡
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 Âé¶¹¾«Ñ¡. 

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

 

Biography

Before moving to University Âé¶¹¾«Ñ¡, 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

Zhang, Y, Liu, B, Bunting, KV, Brind, D, Thorley, A, Karwath, A, Lu, W, Zhou, D, Wang, X, Mobley, AR, Tica, O, Gkoutos, GV, Kotecha, D & Duan, J 2024, '', Frontiers in Medicine, vol. 11, 1354070.

Bian, Q, Castellani, M, Shepherd, D, Duan, J & Ding, Z 2024, '', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, 10433200, pp. 822-830.

Meng, Y, Zhang, Y, Xie, J, Duan, J, Joddrell, M, Madhusudhan, S, Peto, T, Zhao, Y & Zheng, Y 2024, '', Medical Image Analysis.

Bartlett, JJ, Davey, CE, Johnston, LA & Duan, J 2024, '', Magnetic Resonance in Medicine.

Duan, J, Jia, X, Bartlett, J, Lu, W & Qiu, Z 2023, '', Pattern Recognition, vol. 137, 109318.

BigData@Heart Consortium and the cardAIc group 2023, '', European Heart Journal, vol. 44, no. 9, pp. 713–725.

Hering, A, Hansen, L, Mok, TCW, Chung, ACS, Siebert, H, Hager, S, Lange, A, Kuckertz, S, Heldmann, S, Shao, W, Vesal, S, Rusu, M, Sonn, G, Estienne, T, Vakalopoulou, M, Han, L, Huang, Y, Yap, P-T, Brudfors, M, Balbastre, Y, Joutard, S, Modat, M, Lifshitz, G, Raviv, D, Lv, J, Jaouen, V, Visvikis, D, Fourcade, C, Rubeaux, M, Pan, W, Xu, Z, Jian, B, De Benetti, F, Wodzinski, M, Gunnarsson, N, Sjolund, J, Grzech, D, Qiu, H, Li, Z, Thorley, A, Duan, J, Grossbrohmer, C, Hoopes, A, Reinertsen, I, Xiao, Y, Landman, B, Huo, Y, Murphy, K, Lessmann, N, Van Ginneken, B, Dalca, AV & Heinrich, MP 2023, '', IEEE Transactions on Medical Imaging, vol. 42, no. 3, pp. 697-712.

Qin, C, Duan, J, Hammernik, K, Schlemper, J, Küstner, T, Botnar, R, Prieto, C, Price, AN, Hajnal, JV & Rueckert, D 2021, '', Magnetic Resonance in Medicine, vol. 86, no. 6, pp. 3274-3291.

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, '', IEEE Transactions on Medical Imaging.

Conference contribution

Cheng, X, Zhang, T, Lu, W, Meng, Q, Frangi, AF & Duan, J 2025, . in The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025.

Cheng, X, Jia, X, Lu, W, Li, Q, Shen, L, Krull, A & Duan, J 2024, . in Medical Image Computing and Computer Assisted Intervention – MICCAI 2024: 27th International Conference, Marrakesh, Morocco, October 6–10, 2024. Lecture Notes in Computer Science, vol. 15002, Springer, 27th International Conference on Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco, 6/10/24.

Chen, W, Jia, X, Chang, HJ, Duan, J, Shen, L & Leonardis, A 2021, . in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)., 9578410, Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, pp. 1581-1590, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, United States, 20/06/21.

Thorley, A, Jia, X, Chang, HJ, Liu, B, Bunting, K, Stoll, V, de Marvao, A, O’Regan, DP, Gkoutos, G, Kotecha, D & Duan, J 2021, . in M de Bruijne, PC Cattin, S Cotin, N Padoy, S Speidel, Y Zheng & C Essert (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part IV. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12904 LNCS, Springer, pp. 150-160, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021, Virtual, Online, 27/09/21.

Editorial

Zhou, D, Duan, J, Qin, C & Luo, G 2024, '', Frontiers in Medicine, vol. 11, 1434686.

Preprint

Chen, W, Jia, X, Zhang, Z, Chang, HJ, Shen, L, Duan, J & Leonardis, A 2022 '' arXiv.