2026
Conference papers
Tethered Predictive-Inertial Proposals with Objective Verification for Diffusion-Prior Inverse Problems
Minwoo Kim, Seunghyeok Shin, Dabin Kim, Hongki Lim
Advances in Neural Information Processing Systems (NeurIPS) · 2026
Geometry-correct diffusion posterior sampling with denoiser-pullback curvature guidance and manifold-aligned damping
Seunghyeok Shin, Minwoo Kim, Dabin Kim, Hongki Lim
International Conference on Machine Learning (ICML) · 2026
FAST‑DIPS: adjoint‑free analytic steps and hard‑constrained likelihood correction for diffusion‑prior inverse problems
Minwoo Kim, Seunghyeok Shin, Hongki Lim
International Conference on Learning Representations (ICLR) · 2026
Journal articles
SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse Problems
Minwoo Kim, Hongki Lim
IEEE Access · 2026
Noise-aware adaptive diffusion sampling for accelerated knee MRI reconstruction
Dabin Kim, Hongki Lim
Physics in Medicine & Biology · 2026
CLARIFID: improving radiology report generation by reinforcing clinically accurate impressions and enforcing detailed findings
Kyeongkyu Lee, Seonghwan Yoon, Hongki Lim
Expert Systems with Applications · 2026
2025
Conference papers
Adaptive 3D reconstruction via diffusion priors and forward curvature-matching likelihood updates
Seunghyeok Shin, Dabin Kim, Hongki Lim
Advances in Neural Information Processing Systems (NeurIPS) · 2025
Spotlight presentation [top 3.55%]
2024
Journal articles
Direct conditional score modeling for accelerated MRI reconstruction
Hongki Lim
IEEE Access · 2024
2023
Journal articles
Transformer-based integrated framework for joint reconstruction and segmentation in accelerated knee MRI
Hongki Lim
Electronics · 2023
SPECT reconstruction with a trained regularizer using CT-side information: application to ¹⁷⁷Lu SPECT imaging
Hongki Lim, Yuni K. Dewaraja, Jeffrey A. Fessler
IEEE Transactions on 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 Transactions on Pattern Analysis and Machine Intelligence · 2023
2020
Conference papers
Joint low-count PET/CT segmentation and reconstruction with paired variational neural networks
Hongki Lim, Yuni K Dewaraja, Jeffrey A Fessler
Medical Imaging 2020: Physics of Medical Imaging · 2020
Journal articles
Improved low-count quantitative PET reconstruction with an iterative neural network
Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, Jeffrey A. Fessler
IEEE Transactions on Medical Imaging · 2020
A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions
Haowei Xiang, Hongki Lim, Jeffrey A Fessler, Yuni K Dewaraja
European journal of nuclear medicine and molecular imaging · 2020
2019
Conference papers
SPECT/CT scatter estimation using a deep convolutional neural network: implementation in Y-90 imaging
Haowei Xiang, Hongki Lim, Jeffrey A Fessler, Yuni K Dewaraja
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 2019
2018
Conference papers
Application of trained Deep BCD-Net to iterative low-count PET image reconstruction
Hongki Lim, Zhengyu Huang, Jeffrey A Fessler, Yuni K Dewaraja, Il Yong Chun
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) · 2018
On parameter selection for joint spectral reconstruction in Y90 SPECT
Se Young Chun, Hongki Lim, Jeffrey A Fessler, Yuni K Dewaraja
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) · 2018
Fast and convergent iterative image recovery using trained convolutional neural networks
Il Yong Chun, Hongki Lim, Zhengyu Huang, Jeffrey A Fessler
2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton) · 2018
Journal articles
A PET reconstruction formulation that enforces non-negativity in projection space for bias reduction in Y-90 imaging
Hongki Lim, Yuni K Dewaraja, Jeffrey A Fessler
Physics in Medicine & Biology · 2018
Y-90 SPECT ML image reconstruction with a new model for tissue-dependent bremsstrahlung production using CT information: a proof-of-concept study
Hongki Lim, Jeffrey A Fessler, Scott J Wilderman, Allen F Brooks, Yuni K Dewaraja
Physics in Medicine & Biology · 2018
2017
Conference papers
Reducing bias in Y-90 PET images by enforcing non-negativity in projection space
Hongki Lim, Yuni K Dewaraja, Jeffrey A Fessler
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · 2017
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