Jinming Duan

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Jinming Duan

Dr.

 https://orcid.org/0000-0002-5108-2128

Accepting PhD Students

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.

20142024

Research activity per year

  • 35 Article
  • 15 Conference contribution
  • 1 Review article
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Conference contribution

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  • 2021

    FS-Net: fast shape-based network for category-level 6D object pose estimation with decoupled rotation mechanism

    Chen, W., Jia, X., Chang, H. J., Duan, J., Shen, L. & Leonardis, A., 2 Nov 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 1581-1590 10 p. 9578410. (Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    Open Access
    File
    258 Downloads (Pure)

  • Nesterov accelerated ADMM for fast diffeomorphic image registration

    Thorley, A., Jia, X., Chang, H. J., Liu, B., Bunting, K., Stoll, V., de Marvao, A., O’Regan, D. P., Gkoutos, G., Kotecha, D. & Duan, J., 21 Sept 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part IV. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). 1 ed. Springer, p. 150-160 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12904 LNCS).

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

    Open Access
  • 2020

    G2L-Net:Global to local network for real-time 6D pose estimation with embedding vector features

    Chen, W., Jia, X., Chang, H. J., Duan, J. & Leonardis, A., 2020, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020. p. 4232-4241 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    2 Citations (Scopus)

  • Geometry Constrained Weakly Supervised Object Localization

    Lu, W., Jia, X., Xie, W., Shen, L., Zhou, Y. & Duan, J., 19 Jul 2020, 16th European Conference Computer Vision – ECCV 2020. Springer, p. 481-496

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

    File
    101 Downloads (Pure)

  • PointPoseNet:Point pose network for robust 6D object pose estimation

    Chen, W., Duan, J., Basevi, H., Chang, H. J. & Leonardis, A., Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. Institute of Electrical and Electronics Engineers (IEEE), p. 2813-2822 10 p. 9093272. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

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

    4 Citations (Scopus)
  • 2019

    Data efficient unsupervised domain adaptation for cross-modality image segmentation

    Ouyang, C., Kamnitsas, K., Biffi, C., Duan, J. & Rueckert, D., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 669-677 9 p. (Lecture Notes in Computer Science ; vol. 11765).

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

    Open Access
    18 Citations (Scopus)

  • dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance

    Schlemper, J., Oksuz, I., Clough, J. R., Duan, J., King, A. P., Schnabel, J. A., Hajnal, J. V. & Rueckert, D., 24 Sept 2019, ISMRM 27th Annual Meeting & Exhibition (Abstract #658).

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

  • dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance

    Schlemper, J., Oksuz, I., Clough, J. R., Duan, J., King, A. P., Schnabel, J. A., Hajnal, J. V. & Rueckert, D., 24 Sept 2019, ISMRM 27th Annual Meeting & Exhibition (Abstract #658).

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

    File
    42 Downloads (Pure)

  • k-t NEXT: dynamic MR image reconstruction exploiting spatio-temporal correlations

    Qin, C., Schlemper, J., Duan, J., Seegoolam, G., Price, A., Hajnal, J. & Rueckert, D., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). 1 ed. Springer, p. 505-513 9 p. (Lecture Notes in Computer Science; vol. 11765).

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

    Open Access
    5 Citations (Scopus)

  • PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation

    Chen, W., Duan, J., Basevi, H., Chang, H. J. & Leonardis, A., 9 Dec 2019, (Accepted/In press) Winter Conference on Applications of Computer Vision (WACV 2020). IEEE Computer Society Press, 10 p.

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

  • Self-supervised learning for cardiac MR image segmentation by anatomical position prediction

    Bai, W., Chen, C., Tarroni, G., Duan, J., Guitton, F., Petersen, S. E., Guo, Y., Matthews, P. M. & Rueckert, D., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 541-549 9 p. (Lecture Notes in Computer Science ; vol. ecture Notes in Computer Science ).

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

    Open Access
    File
    15 Citations (Scopus)
    166 Downloads (Pure)

  • VS-Net: variable splitting network for accelerated parallel MRI reconstruction

    Duan, J., Schlemper, J., Qin, C., Ouyang, C., Bai, W., Biffi, C., Bello, G., Statton, B., O’regan, D. P. & Rueckert, D., 10 Oct 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV. Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). 1 ed. Springer, p. 713-722 10 p. (Lecture Notes in Computer Science; vol. 11767).

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

    Open Access
    13 Citations (Scopus)
  • 2018

    Cardiac MR segmentation from undersampled k-space using deep latent representation learning

    Schlemper, J., Oktay, O., Bai, W., Castro, D. C., Duan, J., Qin, C., Hajnal, J. V. & Rueckert, D., 26 Sept 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

    Open Access
    File
    6 Citations (Scopus)
    345 Downloads (Pure)

  • Combining deep learning and shape priors for bi-ventricular segmentation of volumetric cardiac magnetic resonance images

    Duan, J., 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

    Open Access
    File
    2 Citations (Scopus)
    266 Downloads (Pure)

  • Deep Nested level sets: fully automated segmentation of cardiac MR images in patients with pulmonary hypertension

    Duan, J., Schlemper, J., Bai, W., Dawes, T. J. W., Bello, G., Doumou, G., De Marvao, A., O’Regan, D. P. & Rueckert, D., 13 Sept 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (eds.). 1 ed. Springer, p. 595-603 9 p. (Lecture Notes in Computer Science; vol. 11073).

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

    Open Access
    15 Citations (Scopus)