Publications

publications by categories in reversed chronological order.

Categories:
J: Journal papers
C: Conference proceedings papers

2026

  1. C
    Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping
    Seunghyeok Shin, Minwoo Kim, Dabin Kim, and Hongki Lim
    to appear in International Conference on Machine Learning (ICML) (2026)
    OpenReview
  2. C
    FAST‑DIPS: Adjoint‑Free Analytic Steps and Hard‑Constrained Likelihood Correction for Diffusion‑Prior Inverse Problems
    Minwoo Kim, Seunghyeok Shin, and Hongki Lim
    International Conference on Learning Representations (ICLR) (2026)
    arXiv OpenReview Demo Code
  3. J
    CLARIFID: Improving radiology report generation by reinforcing clinically accurate impressions and enforcing detailed findings
    Kyeongkyu Lee, Seonghwan Yoon, and Hongki Lim
    Expert Systems with Applications (2026)
    arXiv Journal Code

2025

  1. C
    Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates
    Seunghyeok Shin, Dabin Kim, and Hongki Lim
    Advances in Neural Information Processing Systems (NeurIPS) (2025)
    Spotlight Presentation [Top 3.55%]
    arXiv OpenReview Demo Code

2024

  1. J
    Direct Conditional Score Modeling for Accelerated MRI Reconstruction
    Hongki Lim
    IEEE Access (2024)
    Journal

2023

  1. J
    Transformer-Based Integrated Framework for Joint Reconstruction and Segmentation in Accelerated Knee MRI
    Hongki Lim
    Electronics (2023)
    Journal
  2. J
    SPECT Reconstruction With a Trained Regularizer Using CT-Side Information: Application to 177Lu SPECT Imaging
    Hongki Lim, Yuni K. Dewaraja, and Jeffrey A. Fessler
    IEEE Transactions on Computational Imaging (2023)
    Journal
  3. J
    Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems
    Il Yong Chun, Zhengyu Huang, Hongki Lim, and Jeffrey A. Fessler
    IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)
    Journal

2020

  1. J
    Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network
    Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, and Jeffrey A. Fessler
    IEEE Transactions on Medical Imaging (2020)
    Journal
  2. J
    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, and Yuni K Dewaraja
    European journal of nuclear medicine and molecular imaging (2020)
    Journal
  3. C
    Joint low-count PET/CT segmentation and reconstruction with paired variational neural networks
    Hongki Lim, Yuni K Dewaraja, and Jeffrey A Fessler
    Medical Imaging 2020: Physics of Medical Imaging (2020)

2019

  1. C
    SPECT/CT scatter estimation using a deep convolutional neural network: implementation in Y-90 imaging
    Haowei Xiang, Hongki Lim, Jeffrey A Fessler, and Yuni K Dewaraja
    2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2019)

2018

  1. J
    A PET reconstruction formulation that enforces non-negativity in projection space for bias reduction in Y-90 imaging
    Hongki Lim, Yuni K Dewaraja, and Jeffrey A Fessler
    Physics in Medicine & Biology (2018)
    Journal
  2. J
    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, and Yuni K Dewaraja
    Physics in Medicine & Biology (2018)
    Journal
  3. C
    Application of trained Deep BCD-Net to iterative low-count PET image reconstruction
    Hongki Lim, Zhengyu Huang, Jeffrey A Fessler, Yuni K Dewaraja, and Il Yong Chun
    2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) (2018)
  4. C
    On parameter selection for joint spectral reconstruction in Y90 SPECT
    Se Young Chun, Hongki Lim, Jeffrey A Fessler, and Yuni K Dewaraja
    2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) (2018)
  5. C
    Fast and convergent iterative image recovery using trained convolutional neural networks
    Il Yong Chun, Hongki Lim, Zhengyu Huang, and Jeffrey A Fessler
    2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton) (2018)

2017

  1. C
    Reducing bias in Y-90 PET images by enforcing non-negativity in projection space
    Hongki Lim, Yuni K Dewaraja, and Jeffrey A Fessler
    2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2017)