Publications

2023

1. J

   Transformer-Based Integrated Framework for Joint Reconstruction and Segmentation in Accelerated Knee MRI

   Hongki Lim

   Electronics, 2023
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
3. J

   Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems

   Il Yong Chun, Zhengyu Huang, Hongki Lim, and 1 more author

   IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023

2020

1. J

   Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network

   Hongki Lim, Il Yong Chun, Yuni K. Dewaraja, and 1 more author

   IEEE Transactions on Medical Imaging, 2020
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 1 more author

   European journal of nuclear medicine and molecular imaging, 2020
3. C

   Joint low-count PET/CT segmentation and reconstruction with paired variational neural networks

   Hongki Lim, Yuni K Dewaraja, and Jeffrey A Fessler

   In 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 1 more author

   In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2019
2. A

   Improved low count quantitative SPECT reconstruction with a trained deep learning based regularizer

   Hongki Lim, Il Yong Chun, Jeffrey Fessler, and 1 more author

   In J. Nuc. Med. (Abs. Book), 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
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, and 2 more authors

   Physics in Medicine & Biology, 2018
3. C

   Application of trained Deep BCD-Net to iterative low-count PET image reconstruction

   Hongki Lim, Zhengyu Huang, Jeffrey A Fessler, and 2 more authors

   In 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 1 more author

   In 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 1 more author

   In 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2018
6. A

   Bias reduction in Y-90 PET with reconstruction that relaxes the non-negativity constraint

   Hongki Lim, Kyungsang Kim, Quanzheng Li, and 2 more authors

   In J. Nuc. Med. (Abs. Book), 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

   In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2017
2. A

   Y-90 SPECT maximum likelihood image reconstruction with a new model for tissue-dependent bremsstrahlung production

   Hongki Lim, Yuni Dewaraja, Scott Wilderman, and 1 more author

   In J. Nuc. Med. (Abs. Book), 2017