Hongki Lim

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CLARIFID: Improving radiology report generation by reinforcing clinically accurate impressions and enforcing detailed findings.
Expert Syst. Appl.
Kyeongkyu Lee, Seonghwan Yoon, Hongki Lim
2026 J jnl
FAST-DIPS: Adjoint-Free Analytic Steps and Hard-Constrained Likelihood Correction for Diffusion-Prior Inverse Problems.
CoRR
Minwoo Kim, Seunghyeok Shin, Hongki Lim
2025 J jnl
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates.
CoRR
Seunghyeok Shin, Dabin Kim, Hongki Lim
2025 J jnl
CLARIFID: Improving Radiology Report Generation by Reinforcing Clinically Accurate Impressions and Enforcing Detailed Findings.
CoRR
Kyeongkyu Lee, Seonghwan Yoon, Hongki Lim
2025 J jnl
SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse Problems.
CoRR
Minwoo Kim, Hongki Lim
2024 J jnl
Direct Conditional Score Modeling for Accelerated MRI Reconstruction.
IEEE Access
Hongki Lim
2023 J jnl
Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler
2023 J jnl
SPECT Reconstruction With a Trained Regularizer Using CT-Side Information: Application to $^{177}$Lu SPECT Imaging.
IEEE Trans. Computational Imaging
Hongki Lim, Yuni K. Dewaraja, Jeffrey A. Fessler
2020 J jnl
Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network.
IEEE Trans. Medical Imaging
Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
2019 J jnl
Improved low-count quantitative PET reconstruction with a variational neural network.
CoRR
Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
2019 J jnl
Momentum-Net: Fast and convergent iterative neural network for inverse problems.
CoRR
Il Yong Chun, Zhengyu Huang, Hongki Lim, Jeffrey A. Fessler
2018 — conf
Fast and convergent iterative image recovery using trained convolutional neural networks.
Allerton
Il Yong Chun, Hongki Lim, Zhengyu Huang, Jeffrey A. Fessler