Research output per year
Research output per year
Personal profile
Research interests
Image Segmentation and Tracking, Image Reconstruction, Medical Image Computing, Machine Learning, Deep Learning, Neural Networks
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Engineering, Variational and PDE-based methods for image processing, University of Nottingham
1 Oct 2014 → 30 Sept 2017
Award Date: 1 Dec 2018
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Gait Intention Prediction Using a Lower-limb Musculoskeletal Model and Long Short-term Memory Neural Networks
Bian, Q., Castellani, M., Shepherd, D., Duan, J. & Ding, Z., 20 Feb 2024, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32, p. 822-830 9 p., 10433200.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Arbitrary Order Total Variation for Deformable Image Registration
Duan, J., Jia, X., Bartlett, J., Lu, W. & Qiu, Z., May 2023, In: Pattern Recognition. 137, 18 p., 109318.Research output: Contribution to journal › Article › peer-review
Open AccessFile28 Downloads (Pure) -
Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare: artificial intelligence framework
BigData@Heart Consortium and the cardAIc group, 1 Mar 2023, In: European Heart Journal. 44, 9, p. 713–725 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile24 Downloads (Pure) -
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Hering, A., Hansen, L., Mok, T. C. W., Chung, A. C. S., 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., & 32 others, Mar 2023, In: IEEE Transactions on Medical Imaging. 42, 3, p. 697-712 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile62 Downloads (Pure) -
Complementary time-frequency domain networks for dynamic parallel MR image reconstruction
Qin, C., Duan, J., Hammernik, K., Schlemper, J., Küstner, T., Botnar, R., Prieto, C., Price, A. N., Hajnal, J. V. & Rueckert, D., 13 Jul 2021, (E-pub ahead of print) In: Magnetic Resonance in Medicine. 86, 6, p. 3274-3291Research output: Contribution to journal › Article › peer-review
Open AccessFile129 Downloads (Pure)
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Direct cardiac MR image quantification from k-space using deep neural network
1/07/23 → 30/09/23
Project: Research