Publications

• H Shin, T Kim, J Lee, SY Chun, S Cho, D Shin

Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization

Computers in Biology and Medicine, 2025, 189, 109900

• M Kim, S Ji, J Kim, K Min, H Jeong, J Youn, T Kim, J Jang, B Bilgic, HG Shin*, J Lee*

χ‐sepnet: Deep neural network for magnetic susceptibility source separation

Human Brain Mapping 2025, 46(2):e70136 

• Hong S, Bae JH, Lee J*, Chun SY*

Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing

European Conference on Computer Vision (ECCV) 2024

• Shin H, Kim T, Park J, Raj H, Jabbar MS, Abebaw ZD, Lee J, Van CC, Kim H, Shin D
  Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline
  Eur Radiol Exp 2023, 7:68

• Jeong H, Byun H, Kang DU, Lee J*
  BlindHarmony: “Blind” Harmonization for MR Images via Flow model
  International Conference on Computer Vision (ICCV), 2023 21129-21139

• Ji S, Yang D, Lee J, Choi SH, Kim H, Kang KM
  [REVIEW] Synthetic MRI: Technologies and applications in neuroradiology
  JMRI 2022 55(4):1013-1025

• Jung W, Steffen Bollmann, Lee J*
  [REVIEW] Overview of quantitative susceptibility mapping using deep learning – current status, challenges and opportunities
  NMR Biomed 2022 35(4) e4292

• Park J, Jung W, Choi EJ, Oh SH, Jang J, Shin D, An H, Lee J*
  DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and b-values
  IEEE Trans Medical Imaging 2022 41:491-499

• Shin D, Kim Y, Oh C, An H, Park J, Kim J, Lee J*
  Deep reinforcement learning-designed radiofrequency waveform in MRI
  Nature Machine Intelligence 2021 3:985-994   Youtube link

• An H, Shin HG, Ji S, Jung W, Oh SH, Shin D, Park J, Lee J*,
  DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE
  NeuroImage 2021 224:117432

• Shin D, Ji S, Lee D, Lee J, Oh SH, Lee J*,
  Deep reinforcement learning designed Shinnar-Le Roux RF pulse using root-flipping: DeepRFSLR
  IEEE Trans Medical Imaging 2020 39(12):4391-4400

• Jung W, Yoon J, Ji S, Choi JY, Kim JM, Nam Y, Kim EY, Lee J*
  Exploring linearity of deep neural network trained QSM: QSMnet+
  Neuroimage 2020 211:116619

• Lee J, Lee D, Choi JY, Shin D, Shin HG, Lee J*
  Artificial neural network for myelin water imaging
  Magn Res Med 2020 83(5):1875-1883

• Yoon J, Gong E, Chatnuntawech I, Bilgic B, Lee J, Jung W, Ko J, Jung H, Setsompop K, Zaharchuk G, Kim EY, Pauly J, Lee J*
  Quantitative susceptibility mapping using deep neural network: QSMnet
  NeuroImage 2018 179:199-206