Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning. - Mengzhou Li; Zheng Fang; Wenxiang Cong; Chuang Niu; Weiwen Wu; Josef Uher; James Bennett; Jay T. Rubinstein; Ge Wang 001 (IEEE Access, 2020)

X-ray Photon-Counting Data Correction through Deep Learning. - Mengzhou Li; David S. Rundle; Ge Wang 001 (CoRR, 2020)

Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction. - Chuang Niu; Wenxiang Cong; Fenglei Fan; Hongming Shan; Mengzhou Li; Jimin Liang; Ge Wang 001 (CoRR, 2020)

Soft Autoencoder and Its Wavelet Adaptation Interpretation. - Fenglei Fan; Mengzhou Li; Yueyang Teng; Ge Wang 001 (IEEE Trans. Computational Imaging, 2020)

CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE). - Chenyu You; Wenxiang Cong; Michael W. Vannier; Punam K. Saha; Eric A. Hoffman; Ge Wang 001; Guang Li 011; Yi Zhang 018; Xiaoliu Zhang; Hongming Shan; Mengzhou Li; Shenghong Ju; et al. (IEEE Trans. Medical Imaging, 2020)

Top-Level Design and Simulated Performance of the First Portable CT-MR Scanner. - Yuting Peng; Mengzhou Li; Jace Grandinetti; Ge Wang 001; Xun Jia (IEEE Access, 2022)

Noise Suppression With Similarity-Based Self-Supervised Deep Learning. - Chuang Niu; Mengzhou Li; Fenglei Fan; Weiwen Wu; Xiaodong Guo; Qing Lyu 003; Ge Wang 001 (IEEE Trans. Medical Imaging, 2023)

Photon-counting computed tomography thermometry via material decomposition and machine learning. - Nathan Wang; Mengzhou Li; Petteri Haverinen (Vis. Comput. Ind. Biomed. Art, 2023)

Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial. - Mengzhou Li; Chuang Niu; Ge Wang 001; Maya R. Amma; Krishna M. Chapagain; Stefan Gabrielson; Andrew Li; Kevin Jonker; Niels J. A. De Ruiter; Jennifer A. Clark; Phillip H. Butler; Anthony P. H. Butler; et al. (CoRR, 2024)

3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model. - Chuang Niu; Christopher Wiedeman; Mengzhou Li; Jonathan S. Maltz; Ge Wang 001 (CoRR, 2024)

On Expressivity and Trainability of Quadratic Networks. - Feng-Lei Fan; Mengzhou Li; Fei Wang 001; Rongjie Lai; Ge Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)