Fast and convergent iterative image recovery using trained convolutional neural networks. - Il Yong Chun; Hongki Lim; Zhengyu Huang; Jeffrey A. Fessler (Allerton, 2018)

Improved low-count quantitative PET reconstruction with a variational neural network. - Hongki Lim; Il Yong Chun; Yuni K. Dewaraja; Jeffrey A. Fessler (CoRR, 2019)

Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network. - Hongki Lim; Il Yong Chun; Yuni K. Dewaraja; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2020)

SPECT Reconstruction With a Trained Regularizer Using CT-Side Information: Application to $^{177}$Lu SPECT Imaging. - Hongki Lim; Yuni K. Dewaraja; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2023)

Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. - Il Yong Chun; Zhengyu Huang; Hongki Lim; Jeffrey A. Fessler (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Direct Conditional Score Modeling for Accelerated MRI Reconstruction. - Hongki Lim (IEEE Access, 2024)

CLARIFID: Improving Radiology Report Generation by Reinforcing Clinically Accurate Impressions and Enforcing Detailed Findings. - Kyeongkyu Lee; Seonghwan Yoon; Hongki Lim (CoRR, 2025)