Publications

T Zhang, et al (2024). Structure and intensity unbiased translation for image segmentation. In IEEE Transcation on Medical Imaging.

X Jia, et al (2022). Learning a model-driven network for deformable image registration. In IEEE Transcation on Medical Imaging.

A Thorley, et al (2021). Nesterov accelerated ADMM for diffeomorphic image registration. In MICCAI 2021.

K Hammernik, et al (2021). Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity-weighted coil combination. In Magnetic Resonance in Medicine.

W Lu, et al (2020). Geometry constrained weakly supervised object localization. In ECCV 2020.

W Bai, et al (2019). Self-supervised learning for cardiac MR segmentation by anatomical position prediction. In MICCAI 2019.

J Duan, et al (2019). VS-Net: Variable splitting network for accelerated parallel MRI reconstruction. In MICCAI 2019.

W Lu, et al (2019). Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography. In Biomedical Optics Express.

G Bello, T Dawes, J Duan, et al (2019). Deep learning cardiac motion analysis for human survival prediction. In Nature Machine Intelligence.

J Duan, et al (2019). Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined deep learning approach. In IEEE Transcation on Medical Imaging.

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J Duan, et al (2018). Deep nested level sets for segmentation of cardiac MR images in patients with pulmonary hypertension. In MICCAI 2018.

J Duan, et al (2017). Automated segmentation of retinal layers from optical coherent tomography images using geodesic distance. In Pattern Recognition.

J Duan, et al (2016). Implementation of high‐order variational models for image processing. In Mathematical Methods in the Applied Sciences.

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J Duan, et al (2015). Surface reconstruction from point clouds using a novel variational model. Thirty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence*.