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Research
Selected Journal Papers
Jiulong Liu, Xue Zhang, Xiaoqun Zhang, Hongkai Zhao, Yu Gao, David Thomas, Daniel A. Low, and Hao Gao. 5D respiratory motion model based image reconstruction algorithm for 4D cone-beam computed tomography. Inverse Problems 31, no. 11 (2015): 115007.
Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen, and Lixu Gu. A wavelet frame method with shape prior for ultrasound video segmentation. SIAM Journal on Imaging Sciences 9, no. 2 (2016): 495-519.
Jiulong Liu, Huanjun Ding, Sabee Molloi, Xiaoqun Zhang, and Hao Gao. TICMR: Total image constrained material reconstruction via nonlocal total variation regularization for spectral CT. IEEE transactions on medical imaging 35, no. 12 (2016): 2578-2586.
Jiulong Liu, and Hao Gao. Material reconstruction for spectral computed tomography with detector response function. Inverse Problems 32, no. 11 (2016): 114001.
Jiulong Liu, Angelica I. Aviles-Rivero, Hui Ji, and Carola-Bibiane Schönlieb. Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction. Medical Image Analysis 68 (2021): 101930.
Jiulong Liu, Nanguang Chen, and Hui Ji. Learnable douglas-rachford iteration and its applications in DOT imaging. Inverse Problems & Imaging 14, no. 4 (2020): 683.
Selected Conference Papers
Jiulong Liu, Tao Kuang, and Xiaoqun Zhang. Image reconstruction by splitting deep learning regularization from iterative inversion. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 224-231. Springer, Cham, 2018.
Zhaoqiang Liu, Jiulong Liu, Subhroshekhar Ghosh, Jun Han, and Jonathan Scarlett. Generative Principal Component Analysis. In International Conference on Learning Representations. 2021.
See Google Scholar for citations
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