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, 'Development of automated neural network prediction for echocardiographic left ventricular ejection fraction', Frontiers in Medicine, vol. 11, 1354070. https://doi.org/10.3389/fmed.2024.1354070
Bian, Q, Castellani, M, Shepherd, D, Duan, J & Ding, Z 2024, 'Gait Intention Prediction Using a Lower-limb Musculoskeletal Model and Long Short-term Memory Neural Networks', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 32, 10433200, pp. 822-830. https://doi.org/10.1109/TNSRE.2024.3365201
Meng, Y, Zhang, Y, Xie, J, Duan, J, Joddrell, M, Madhusudhan, S, Peto, T, Zhao, Y & Zheng, Y 2024, 'Multi-granularity learning of explicit geometric constraint and contrast for label-efficient medical image segmentation and differentiable clinical function assessment', Medical Image Analysis. https://doi.org/10.1016/j.media.2024.103183
Bartlett, JJ, Davey, CE, Johnston, LA & Duan, J 2024, 'Recovering high‐quality fiber orientation distributions from a reduced number of diffusion‐weighted images using a model‐driven deep learning architecture', Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.30187
Duan, J, Jia, X, Bartlett, J, Lu, W & Qiu, Z 2023, 'Arbitrary Order Total Variation for Deformable Image Registration', Pattern Recognition, vol. 137, 109318. https://doi.org/10.1016/j.patcog.2023.109318
BigData@Heart Consortium and the cardAIc group 2023, 'Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare: artificial intelligence framework', European Heart Journal, vol. 44, no. 9, pp. 713–725. https://doi.org/10.1093/eurheartj/ehac758
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, 'Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning', IEEE Transactions on Medical Imaging, vol. 42, no. 3, pp. 697-712. https://doi.org/10.1109/TMI.2022.3213983
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, vol. 86, no. 6, pp. 3274-3291. 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
Conference contribution
Cheng, X, Jia, X, Lu, W, Li, Q, Shen, L, Krull, A & Duan, J 2024, WiNet: Wavelet-Based Incremental Learning for Efficient Medical Image Registration. 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. https://doi.org/10.1007/978-3-031-72069-7_71
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)., 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. https://doi.org/10.1109/CVPR46437.2021.00163
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, Nesterov accelerated ADMM for fast diffeomorphic image registration. 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. https://doi.org/10.1007/978-3-030-87202-1_15
Editorial
Zhou, D, Duan, J, Qin, C & Luo, G 2024, 'Editorial: The combination of data-driven machine learning approaches and prior knowledge for robust medical image processing and analysis', Frontiers in Medicine, vol. 11, 1434686. https://doi.org/10.3389/fmed.2024.1434686
Preprint
Chen, W, Jia, X, Zhang, Z, Chang, HJ, Shen, L, Duan, J & Leonardis, A 2022 'Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation' arXiv.
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