[J68]Low-dose CT denoising using a diffusion prior via score distillation sampling
Hojin Jung, Jooho Lee, Jongduk Baek
Medical Physics, 2026
Journal
2026
[J67]A multi-stage deep learning framework for half-detector truncation and metal artifact reduction in CBCT
Junhyun Ahn, Jongduk Baek
Medical Physics, 2026
[J66]Improving the efficiency of normalized metal artifact reduction via a unified forward projection
Jooho Lee, Adam S. Wang, Jongduk Baek
Physics in Medicine and Biology, 2026
2025
[J65]Dose-aware denoising diffusion model for low-dose CT
Seongjun Kim, Byeongjoon Kim, Jongduk Baek
Physics in Medicine and Biology, 2025
[J64]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
[J63]Continuous representation-based reconstruction for computed tomography
Minwoo Yu, Junhyun Ahn, Jongduk Baek
Medical Physics, 2025
[J62]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 · Editor's Choice
2024
[J61]Low-dose computed tomography perceptual image quality assessment
Wonkyeong Lee et al.
Medical Image Analysis, 2024
[J60]Iterative reconstruction for limited-angle CT using implicit neural representation
Jooho Lee, Jongduk Baek
Physics in Medicine and Biology, 2024
[J59]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
[J58]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
2023
[J57]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
[J56]Full 3-D modulation transfer function estimation of tomosynthesis system using modified Richardson-Lucy deconvolution
Hoondong Song, Changwoo Lee, Jongduk Baek
Medical Physics, 2023
[J55]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
[J54]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
[J53]Chest tomosynthesis deblurring using CNN with deconvolution layer for vertebrae segmentation
Yunsu Choi, Hanjoo Jang, Jongduk Baek
Medical Physics, 2023
[J52]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
[J51]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
[J50]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
[J49]Convolutional neural network-based model observer for signal known statistically tasks in breast tomosynthesis images
Hanjoo Jang, Jongduk Baek
Medical Physics, 2023
[J48]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
[J47]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
[J46]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
[J45]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
[J44]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
[J43]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
[J42]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
[J41]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
[J40]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
[J39]Low dose CT denoising via convolutional neural network with an observer loss function
M. Han, H. Shim, and J. Baek
Medical Physics, 2021
[J38]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
[J37]Weakly-Supervised Progressive Denoising with Unpaired CT images
B. Kim, H. Shim, and J. Baek
Medical Image Analysis, 2021
[J36]GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
J. Seok, S. Cha, B. Kim, J. Baek, and T. Moon
ICLR, 2021
[J35]A metal artifact reduction method for small field of view CT imaging
S. Choi, S. Moon, and J. Baek
PLoS ONE, 2021
[J34]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
[J33]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
[J32]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
[J31]3D MTF estimation using sphere phantoms for cone beam computed tomography systems
C. Lee, H. Song, and J. Baek
Medical Physics, 2020
[J30]Dual energy approach to reduce cone-beam artifacts in a circular orbit cone-beam CT system
C. Han and J. Baek
Electronics Letters, 2020
[J29]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
[J28]A convolutional neural network-based model observer for breast CT images
G. Kim, M. Han, H. Shim, and J. Baek
Medical Physics, 2020
2019
[J27]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
[J26]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
[J25]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
[J24]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
[J23]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
[J22]Inter-laboratory comparison of channelized hotelling observer computation
A. Ba, C. K. Abbey, J. Baek, M. Han et al.
Medical Physics, 2018
[J21]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
[J20]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
[J19]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
[J18]A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation
H. Nam and J. Baek
PLoS ONE, 2017
[J17]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
[J16]Moving beam-blocker-based low-dose cone-beam CT
T. Lee, C. Lee, J. Baek and S. Cho
IEEE Transactions on Nuclear Science, 2016
[J15]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
[J14]Multisource inverse-geometry CT. Part I. 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
[J13]Investigation on slice direction dependent detectability of volumetric cone beam CT image
M. Han, C. Lee, and J. Baek
Optics Express, 2016
[J12]A Sphere Phantom Approach to Measure Directional Modulation Transfer Functions for Tomosynthesis Imaging Systems
C. Lee, and J. Baek
IEEE Transactions Medical Imaging, 2016
2015
[J11]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
[J10]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
[J9]Ring artifact correction using detector-line ratios in computed tomography
Y. Kim, J. Baek, and D. Hwang
Optics Express, 2014
[J8]A new CT concept: Inverse Geometry CT
S. Rye, C. Lee, and J. Baek
Biomedical Engineering Letters, 2014
[J7]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. Longtin, D. Harrison, J. Reynolds, B. Neculaes, K. Frutschy, L. Inzinna, A. Caiafa, R. Senzig, and N. J. Pelc
Physics in Medicine and Biology, 2014
before 2014
[J6]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
[J5]Effect of detector lag on CT noise power spectra
J. Baek and N. J. Pelc
Medical Physics, 2011
[J4]Local and global 3D noise power spectrum in cone beam CT system with FDK reconstruction
J. Baek and N. J. Pelc
Medical Physics, 2011
[J3]A new method to combine 3D reconstruction volumes for multiple parallel circular conebeam orbits
J. Baek and N. J. Pelc
Medical Physics, 2010
[J2]The noise power spectrum in CT with direct fan beam reconstruction
J. Baek and N. J. Pelc
Medical Physics, 2010
[J1]Direct two-dimensional reconstruction algorithm for an inverse-geometry CT system
J. Baek and N. J. Pelc
Medical Physics, 2009