2025

• Dose-aware denoising diffusion model for low-dose CT
  Seongjun Kim, Byeongjoon Kim, Jongduk Baek
  Physics in Medicine and Biology, 2025 [Paper]
  
  

• X-ray CT metal artifact reduction using neural attenuation field prior  
  Jooho Lee, Seongjun Kim, Junhyun Ahn, Adam S. Wang, Jongduk Baek
  Medical Physics, 2025 [Paper]
  
  

• Continuous representation-based reconstruction for computed tomography  
  Minwoo Yu, Junhyun Ahn, Jongduk Baek
  Medical Physics, 2025 [Paper]
  
  

• Generalizability of convolutional neural network-based model observer in breast tomosynthesis across volume glandular fractions and signal sizes
  Hanjoo Jang, Jongduk Baek
  Medical Physics, 2025 [Paper] [Editor's Choice]

2024

• Low-dose computed tomography perceptual image quality assessment  
  Wonkyeong Lee, Fabian Wagner, ..., Minah Han, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang Hwan Choi
  Medical Image Analysis, 2024 [Paper]
  
  

• Iterative reconstruction for limited-angle CT using implicit neural representation
  Jooho Lee, Jongduk Baek
  Physics in Medicine and Biology, 2024 [Paper]
  
  

• Adapting low-dose CT denoisers for texture preservation using zero-shot local noise-level matching
  Youngjun Ko, Seongjong Song, Jongduk Baek, Hyunjung Shim
  Medical Physics, 2024 [Paper]
  
  

• Direct estimation of the noise power spectrum from patient data to generate synthesized CT noise for denoising network training
  Minah Han, Jongduk Baek
  Medical Physics, 2024 [Paper]

2023

• Carbon nanotube-based multiple source C-arm CT system: feasibility study with prototype system  
  Seunghyuk Moon, Jungsu Kang, Youngkwang Kim, Eunha Jo, Pilsoo Jeong, Youngjun Roh, Jongduk Baek

Optics Express, 2023

• Full 3-D modulation transfer function estimation of tomosynthesis system using modified Richardson-Lucy deconvolution   
  Hoondong Song, Changwoo Lee, Jongduk Baek
  Medical Physics, 2023
  
  

• Impact of using sinogram domain data in the super resolution of CT images on diagnostic information  
  Minwoo Yu, Minah Han, Jongduk Baek
  Medical Physics, 2023
  
  

• Power-law spectrum-based objective function to train a generative adversarial network with transfer learning for the synthetic breast CT image
  Gihun Kim, Jongduk Baek
  Physics in Medicine and Biology, 2023
  
  

• Chest tomosynthesis deblurring using CNN with deconvolution layer for vertebrae segmentation
  Yunsu Choi, Hanjoo Jang, Jongduk Baek
  Medical Physics, 2023
  
  

• Sparsier2Sparse: Self-supervised convolutional neural network-based streak artifacts reduction in sparse-view CT images  
  Seongjun Kim, Byeongjoon Kim, Jooho Lee, Jongduk Baek
  Medical Physics, 2023
  
  

• Helical artifact reduction method using image segmentation with CNN denoising technique 
  Seungwon Choi, Byeongjoon Kim, Chulkyu Park, Jueon Park, Yousuk Kim, Sungil Choi, Jongduk Baek
  IEEE Access, 2023
  
  

• Strategy to implement a convolutional neural network based ideal model observer via transfer learning for multi-slice simulated breast CT images 
  Gihun Kim, Minah Han, Jongduk Baek
  Physics in Medicine and Biology, 2023
  
  

• Convolutional neural network-based model observer for signal known statistically tasks in breast tomosynthesis images 
  Hanjoo Jang, Jongduk Baek
  Medical Physics, 2023
  
  

• Utilization of an attentive map to preserve anatomical features for training convolutional neural network based low dose CT denoiser
  Minah Han, Hyunjung Shim, Jongduk Baek
  Medical Physics, 2023
  
  

• Deep Learning-based Multimodal Fusion Network for Segmentation and Classification of Breast Cancers using B-mode and Elastography Ultrasound Images
  Sampa Misra, Chiho Yoon, Kwang-Ju Kim, Ravi Managuli, Richard G. Barr, Jongduk Baek, Chulhong Kim
  Bioengineering and Translational Medicine, 2023

2022

• A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser with an Accurate Image Domain Noise Insertion Technique
  B. Kim, S. Divel, N. J. Pelc, and J. Baek
  IEEE Access, 2022
  
  

• A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation 
  B. Kim, H. Shim, and J. Baek
  Medical Physics, 2022 [Editor's Choice]
  
  

• Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser  
  M. Han, H. Shim, and J. Baek
  IEEE Access, 2022
  
  

• Convolutional neural network-based metal and streak artifacts reduction in dental CT images with sparse-view sampling scheme
  S. Kim, J. Ahn, B. Kim, C. Kim, and J. Baek
  Medical Physics, 2022
  
  

• Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability perspectives
  C. Lee and J. Baek
  PLoS ONE, 2022
  
  

• Two phase learning based 3D deblurring method for digital breast tomosynthesis images
  Y. Choi, M. Han, H. Jang, H. Shim, and J. Baek
  PLoS ONE, 2022

2021

• Method to estimate fan-beam CT noise power spectrum using two basis functions with a limited number of noise realizations
  H. Jang and J. Baek
  Medical Physics, 2021
  
  

• Low dose CT denoising via convolutional neural network with an observer loss function
  M. Han, H. Shim, and J. Baek
  Medical Physics, 2021
  
  

• Geometry calibration and image reconstruction for carbon-nanotube-based multisource and multidetector CT
  S. Moon, S. Choi, H. Jang, M. Shin, Y. Roh, and J. Baek
  Physics in Medicine and Biology, 2021
  
  

• Weakly-Supervised Progressive Denoising with Unpaired CT images
  B. Kim, H. Shim, and J. Baek
  Medical Image Analysis, 2021
  
  

• GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
  J. Seok, S, Cha, B. Kim, J. Baek, and T. Moon
  ICLR, 2021
  
  

• A metal artifact reduction method for small field of view CT imaging
  S. Choi, S. Moon, and J. Baek
  PLoS ONE, 2021
  
  

• Rigid and non-rigid motion artifact reduction in X-ray CT using attention module
  Y. Koh, S. Moon, J. Baek, and H. Shim
  Medical Image Analysis, 2021

2020

• A convolutional neural network-based anthropomorphic model observer for signal-known-statistically and background known statistically detection tasks
  M. Han and J. Baek
  Physics in Medicine and Biology, 2020
  
  

• A convolutional neural network-based anthropomorphic model observer for signal detection in breast CT images without human-labeled data
  B. Kim, M. Han, and J. Baek
  IEEE Access, 2020
  
  

• 3D MTF estimation using sphere phantoms for cone beam computed tomography systems
  C. Lee, H. Song, and J. Baek
  Medical Physics, 2020
  
  

• Dual energy approach to reduce cone-beam artifacts in a circular orbit cone-beam CT system
  C. Han and and J. Baek
  Electronics Letters, 2020
  
  

• Human observer performance on in-plane digital breast tomosynthesis images: Effects of reconstruction filters and data acquisition angles on signal detection
  C. Lee, M. Han, and J. Baek
  PLoS ONE, 2020
  
  

• A convolutional neural network-based model observer for breast CT images
  G. Kim, M. Han, H. Shim, and J. Baek
  Medical Physics, 2020

2019

• A Performance Comparison of CNN-based Image Denoising Methods: The Effect of Loss Functions on Low-dose CT Images
  B. Kim, M. Han, H. Shim*, and J. Baek*
  Medical Physics, 2019
  
  

• A performance comparison of anthropomorphic model observers for breast cone beam CT images: a single-slice and multislice study
  M. Han and J. Baek
  Medical Physics, 2019
  
  

• Multi-pass approach to reduce cone-beam artifacts in a circular orbit cone-beam CT system
  C. Han and J. Baek
  Optics Express, 2019

2018

• Evaluation of human observer performance on lesion detectability in single-slice and multislice dedicated breast cone beam CT images with breast anatomical background
  M. Han, H. Jang, and J. Baek
  Medical Physics, 2018 [Editor's Choice]
  
  

• Hybrid Approach to Reduce Cone-Beam Artifacts for a Circular Orbit Cone-Beam CT System
  S. Choi, J. Kim, and J. Baek
  IEEE Access, 2018
  
  

• Inter-laboratory comparison of channelized hotelling observer computation
  A. Ba, C. K. Abbey, J. Baek, M. Han et al.
  Medical Physics, 2018
  
  

• Correction of severe beam-hardening artifacts via a high-order linearization function using a prior-image-based parameter selection method
  D. Oh, S. Kim, D. Park, S. Choi, H. Song, Y. Choi, S. Moon, J. Baek, D. Hwang
  Medical Physics, 2018
  
  

• Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction
  M. Han, B. Kim, and J. Baek
  PLoS ONE, 2018

2017

• An inverse filtering approach to measure directional in-plane modulation transfer function using a sphere phantom for a digital tomosynthesis system
  C. Lee and J. Baek
  Optics Express, 2017
  
  

• A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation
  H. Nam and J. Baek
  PLoS ONE, 2017
  
  

• A model-based sinogram correction for beam hardening artifact reduction in CT
  S. Min, J. Seo, Y. Chung, J. Baek and H. Park
  Medical Physics, 2017

2016

• Moving beam-blocker-based low-dose cone-beam CT
  T. Lee, C. Lee, J. Baek and S. Cho
  IEEE Transactions on Nuclear Science, 2016
  
  

• Effect of anatomical noise on the detectability of cone beam CT images with different slice direction, slice thickness, and volume glandular fraction
  M. Han, S. Park, and J. Baek
  Optics Express, 2016
  
  

• Multi-source Inverse-geometry CT Part 1: System Concept and Development
  B. De Man, J. Uribe, J. Baek, D. Harrison, Z. Yin, R. Longtin, J. Roy, B. Waters, C. Wilson, J. Short, L. Inzinna, J. Reynolds, V. Neculaes, K. Frutschy, B. Senzig, and N. Pelc
  Medical Physics, 2016
  
  

• Investigation on slice direction dependent detectability of volumetric cone beam CT image
  M. Han, C. Lee, and J. Baek
  Optics Express, 2016
  
  

• A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems
  C. Lee, and J. Baek
  IEEE Transactions on Medical Imaging, 2016

2015

• A new method to measure directional modulation transfer function using sphere phantoms in a cone beam computed tomography system
  C. Lee and J. Baek
  IEEE Transactions Medical Imaging, 2015
  
  

• Raw data normalization for a multi source inverse geometry CT system
  J. Baek, B. De Man, D. Harrison, and N. J. Pelc
  Optics Express, 2015

2014

• Ring artifact correction using detector-line ratios in computed tomography
  Y. Kim, J. Baek, and D. Hwang
  Optics Express, 2014
  
  

• A new CT concept : Inverse Geometry CT
  S. Rye, C. Lee, and J. Baek
  Biomedical Engineering Letters, 2014
  
  

• A Multiple-Source Inverse-Geometry CT system : Initial results with an 8 spot x-ray source array
  J. Baek, B. De Man, J. Uribe, R. Logntin, D. Harrison, J. Reynolds, B. Beculaes, K. Frutschy, L. Inzinna, A. Caiafa, R. Senzig, and N. J. Pelc
  Physics in Medicine and Biology, 2014

Before 2014

• To Bin or Not to Bin? The effect of CT system limiting resolution on noise and detectability
  J. Baek, A. Pineda, R. AR, and N. J. Pelc
  Physics in Medicine and Biology, 2013
  
  

• Effect of detector lag on CT noise power spectra
  J. Baek and N. J. Pelc
  Medical Physics, 2011
  
  

• Local and global 3D noise power spectrum in cone beam CT system with FDK reconstruction
  J. Baek and N. J. Pelc
  Medical Physics, 2011
  
  

• A new method to combine 3D reconstruction volumes for multiple parallel circular conebeam orbits
  J. Baek and N. J. Pelc
  Medical Physics, 2010
  
  

• The noise power spectrum in CT with direct fan beam reconstruction
  J. Baek and N. J. Pelc
  Medical Physics, 2010
  
  

• Direct two-dimensional reconstruction algorithm for an inverse-geometry CT system
  J. Baek and N. J. Pelc
  Medical Physics, 2009