Jinming Duan

Jinming Duan
ORCID: 0000-0002-5108-2128

Colleges, School and Institutes

Research interests

Image Segmentation and Tracking, Image Reconstruction, Medical Image Computing, Machine Learning, Deep Learning, Neural Networks

Education/Academic qualification

  • Doctor of Engineering, University of Nottingham

    Variational and PDE-based methods for image processing

    1 Oct 2014 - 30 Sep 2017

Professional Qualifications

  • Imperial College London, Research Associate

    18 Sep 2017 - 18 Mar 2019

Willingness to take PhD students

Yes

PhD projects

I am interested in deep neural networks, variational methods, partial/ordinary differential equations, numerical optimisation, and finite difference/element methods, with applications to image processing, computer vision and medical imaging analysis.

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Most downloaded publications

Cardiac MR segmentation from undersampled k-space using deep latent representation learning
Schlemper, J., Oktay, O., Bai, W., Castro, D. C., Jinming Duan, Qin, C., Hajnal, J. V. & Rueckert, D., 26 Sep 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 259-267 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

40 downloads
Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography
Wenqi Lu, Jinming Duan, Orive Miguel, D., Herve, L. & Iain Styles, 2 May 2019, In : Biomedical Optics Express. 10, 6, p. 2684-2707

Research output: Contribution to journal › Article

35 downloads
A portable image-based cytometer for rapid malaria detection and quantification
Yang, D., Subramanian, G., Jinming Duan, Gao, S., Bai, L., Chandramohanadas, R. & Ai, Y., 8 Jun 2017, In : PLoS ONE. 12, 6, 18 p., e0179161.

Research output: Contribution to journal › Article

34 downloads
Combining deep learning and shape priors for bi-ventricular segmentation of volumetric cardiac magnetic resonance images
Jinming Duan, Schlemper, J., Bai, W., Dawes, T. J. W., Bello, G., Biffi, C., Doumou, G., De Marvao, A., O’Regan, D. P. & Rueckert, D., 23 Nov 2018, Shape in Medical Imaging : nternational Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lombaert, H., Paniagua, B., Egger, B., Lüthi, M., Reuter, M. & Wachinger, C. (eds.). Springer Verlag, p. 258-267 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11167 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

33 downloads
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
Jinming Duan, Bello, G., Schlemper, J., Bai, W., Dawes, T. J. W., Biffi, C., de Marvao, A., Doumou, G., O'Regan, D. P. & Rueckert, D., 23 Jan 2019, In : IEEE Transactions on Medical Imaging. 38, 9, p. 2151-2164 14 p.

Research output: Contribution to journal › Article

5 downloads

Recent publications

Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography
Wenqi Lu, Jinming Duan, Orive Miguel, D., Herve, L. & Iain Styles, 2 May 2019, In : Biomedical Optics Express. 10, 6, p. 2684-2707

Research output: Contribution to journal › Article

Parameter-free selective segmentation with convex variational methods
Spencer, J., Chen, K. & Jinming Duan, May 2019, In : IEEE Transactions on Image Processing . 28, 5, p. 2163-2172 10 p.

Research output: Contribution to journal › Article

Deep-learning cardiac motion analysis for human survival prediction
Bello, G. A., Dawes, T. J. W., Jinming Duan, Biffi, C., De Marvao, A., Howard, L. S. G. E., Gibbs, J. S. R., Wilkins, M. R., Cook, S. A., Rueckert, D. & O’regan, D. P., 11 Feb 2019, In : Nature Machine Intelligence. 1, 2, p. 95-104 10 p.

Research output: Contribution to journal › Article

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