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- Gyutaek Oh, Sukyoung Jung, Jeong Eun Lee, Jong Chul Ye. Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. IEEE Trans. Computational Imaging, 10:43-53, 2024.
- Chunhong Cao, Wei Song, Han Xiang, Hongbo Yi, Fen Xiao, Xieping Gao. A Two-Stream Stacked Autoencoder With Inter-Class Separability for Bilinear Hyperspectral Unmixing. IEEE Trans. Computational Imaging, 10:357-371, 2024.
- Huei-Yung Lin, Tsai-Yu Hsu. Disparity Computation With Low Intensity Quantization on Stereo Image Pairs. IEEE Trans. Computational Imaging, 10:318-328, 2024.
- Jing Lei 0002, Qibin Liu. Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography. IEEE Trans. Computational Imaging, 10:304-317, 2024.
- Xiangyu Qu, Yiheng Chi, Stanley H. Chan. Spatially Varying Exposure With 2-by-2 Multiplexing: Optimality and Universality. IEEE Trans. Computational Imaging, 10:261-276, 2024.
- Huafeng Li, Zhenmei Yang, Yafei Zhang, Dapeng Tao, Zhengtao Yu 0001. Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging. IEEE Trans. Computational Imaging, 10:429-445, 2024.
- Chun Zhao, Byeungwoo Jeon. Compact Representation of Light Field Data for Refocusing and Focal Stack Reconstruction Using Depth Adaptive Multi-CNN. IEEE Trans. Computational Imaging, 10:170-180, 2024.
- Carter Lyons, Raghu G. Raj, Margaret Cheney. Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems. IEEE Trans. Computational Imaging, 10:399-414, 2024.