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2020 – today
- 2022
[c4]Huiqiao Xie, Yang Lei
, Tonghe Wang, Marian Axente, Justin Roper, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022- [c3]Huiqiao Xie, Yang Lei, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Tian Liu, Hui Mao, Xiaofeng Yang:
High-resolution MR imaging using self-supervised parallel network. Medical Imaging: Computer-Aided Diagnosis 2022 - [c2]Qian Wang, Huiqiao Xie, Tonghe Wang, Justin Roper, Xiangyang Tang, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang:
Iterative material decomposition with gradient L0-norm minimization for dual-energy CT. Medical Imaging: Image Processing 2022 - [i1]Huiqiao Xie, Yang Lei, Yabo Fu, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy. CoRR abs/2208.13686 (2022) - 2021
- [j2]Huiqiao Xie, Yan Ren, Wenting Long, Xiaofeng Yang, Xiangyang Tang:
Principal Component Analysis in Projection and Image Domains - Another Form of Spectral Imaging in Photon-Counting CT. IEEE Trans. Biomed. Eng. 68(3): 1074-1083 (2021) - [j1]Yan Ren, Huiqiao Xie, Wenting Long, Xiaofeng Yang, Xiangyang Tang:
On the Conditioning of Spectral Channelization (Energy Binning) and Its Impact on Multi-Material Decomposition Based Spectral Imaging in Photon-Counting CT. IEEE Trans. Biomed. Eng. 68(9): 2678-2688 (2021) - [c1]Huiqiao Xie, Yang Lei, Tonghe Wang, Yabo Fu, Xiangyang Tang, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy. Medical Imaging: Image Processing 2021
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