Conference
Embedded Files
2026
2026
Training cone-beam artifact reduction networks with only artifact-contaminated CBCT images
Minah Han, Jongduk Baek
SPIE Medical Imaging, 2026A multi-stage deep learning framework for correcting combined metal and truncation artifacts in half-detector CBCT
Junhyun Ahn, Jongduk Baek
SPIE Medical Imaging, 2026SAVI: Slope-aware sparse-view sinogram interpolation
Kyungseo Kwon, Minwoo Yu, Junhyun Ahn, Hwanhui Jo, Jongduk Baek
SPIE Medical Imaging, 2026
2025
2025
Emulating Human Perception of Low-Dose CT Image Quality via Deep Generative Models
Jooho Lee, Jongduk Baek, Adam S. Wang
AAPM, 2025 [Oral Presentation]Fully Automatic Pipelines for Anatomical ROI Detection and Exposure Index Calculation in X-Ray Imaging : Foundation Model-Based Frameworks for Dose Standardization
Yoonha Eo, Jongduk Baek
AAPM, 2025Noise Canceling Approach for C-Arm X-Ray Fluoroscopy: Solution for Dynamic Imaging Scenarios
Yoonha Eo, Jongduk Baek
Fully3D, 2025A method to reduce truncation artifacts in dental CT with a offset detector with sinogram domain learning
Taijun Kang, Seongjun Kim, Jongduk Baek
Fully3D, 2025Radiologist-Guided Fine-Tuning of a CT Image Restoration Model
Minwoo Yu, Seungjun Lee, Yejin Chun, Jongduk Baek
Fully3D, 2025Standardization of lung CT number using solid references in COPDgene2 phantom
Hoondong Song, Hanjoo Jang, Jongduk Baek
Fully3D, 2025A representation-based method for continuous CT image reconstruction
Minwoo Yu, Jongduk Baek
SPIE Medical Imaging, 2025 [Oral Presentation] [Paper]Early step skipping score-based generative model for low-dose CT denoising
Hojin Jung, Jongduk Baek
SPIE Medical Imaging, 2025 [Paper]Self-supervised metal artifacts reduction with a continuous constraint along the z-axis
Junhyun Ahn, Sungil Choi, Seungwon Choi, Chulkyu Park, Jueon Park, Chul Lee, Jongduk Baek
SPIE Medical Imaging, 2025 [Paper]Dose-aware adaptive denoising network for low-dose CT
Seongjun Kim, Byeongjoon Kim, Jongduk Baek
SPIE Medical Imaging, 2025 [Paper]Regularizing neural fields for 3D computed tomographic imaging from sparse projections
Jooho Lee, Byeongjoon Kim, Jongduk Baek
SPIE Medical Imaging, 2025 [Paper]
2024
2024
Neural attenuation fields for metal artifact reduction in dental CT
Jooho Lee, Junhyun Ahn, Jongduk Baek
SPIE Medical Imaging, 2024 [Oral Presentation]Understanding the generalizability of a convolutional neural network-based model observer for breast tomosynthesis images with different volume glandular fractions
Hanjoo Jang, Jongduk Baek
SPIE Medical Imaging, 2024 [Oral Presentation]Patient-specific data augmentation method to improve the training efficiency of convolutional neural network for metal artifact reduction with a single patient dental CT volume
Junhyun Ahn, Jongduk Baek
SPIE Medical Imaging, 2024Feasibility study of using masked auto-encoder for a streak artifact reduction in sparse view CT
Gihun Kim, Jongduk Baek
SPIE Medical Imaging, 2024A method to generate patient CT noise for deep learning network training
Minah Han, Jongduk Baek
SPIE Medical Imaging, 2024
2023
2023
Limited-angle CT reconstruction using implicit neural representation with learned initialization
Jooho Lee, Jongduk Baek
Fully3D, 2023An investigation on the detection task performance of deep learning based streak artifacts reduction methods
Hojin Jung, Minwoo Yu, Jongduk Baek
Fully3D, 2023
2022
2022
Sparsier2Sparse: Weakly-supervised learning for streak artifacts reduction with unpaired sparse view CT data
S. Kim, B. Kim, and J. Baek
CT Meeting, 2022 [Oral Presentation]A hybrid domain processing for CT image super-resolution via sinogram upsampling network with modulated periodic activations
M. Yu, M. Han, and J. Baek
SPIE Medical Imaging, 2022Streak artifacts reduction algorithm using an implicit neural representation in sparse-view CT
B. Kim, H. Shim, and J. Baek
SPIE Medical Imaging, 2022A new method to reduce helical artifacts in the reconstructed image from direct filtered backprojection
S. Choi and J. Baek
SPIE Medical Imaging, 2022Low dose CT denoising via CNN trained using images with activation map
M. Han and J. Baek
SPIE Medical Imaging, 2022A sequential approach using convolutional neural networks for motion artifacts reduction with a fast CT scan mode
S. Moon, B. Kim, Y. Choi, and J. Baek
SPIE Medical Imaging, 2022
2021
2021
A method to estimate a fan beam CT NPS using two basis functions with a limited number of noise realizations
H. Jang, M. Koh, and J. Baek
AAPM, 2021 [Oral Presentation]Convolutional neural network based metal artifact correction for sparse view dental CT imaging
S. Kim, J. Ahn, and J. Baek
AAPM, 2021 [Oral Presentation]Super-resolution CT image via convolutional neural network with an observer loss function
M. Yu, M. Han, and J. Baek
AAPM, 2021CNN based CT denoising with an accurate image domain noise insertion technique
B. Kim, S. E. Divel, N. J. Pelc, and J. Baek
SPIE Medical Imaging, 2021Implementation of CNN-based multi-slice model observer for 3D cone beam CT
G. Kim and J. Baek
SPIE Medical Imaging, 2021 [Oral Presentation]A hybrid domain approach to reduce streak artifacts of sparse view CT image via convolutional neural network
S. Kim, B. Kim, and J. Baek
SPIE Medical Imaging, 2021Convolutional neural network based metal artifact reduction method in dental CT image
J. Ahn, Y. Choi, and J. Baek
SPIE Medical Imaging, 2021Sphere phantom approach to measure MTF of computed tomography system using convolutional autoencoder network
C. Lee and J. Baek
SPIE Medical Imaging, 2021Denoising low dose CT using pre-trained lesion classification network
M. Han and J. Baek
SPIE Medical Imaging, 2021
2020
2020
Training strategies of a convolutional neural network based anthropomorphic model observer for signal-known exactly and background known statistically detection tasks
B. Kim, M. Han, and J. Baek
CT meeting, 2020 [Oral Presentation]Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images
B. Kim, M. Han, and J. Baek
SPIE Medical Imaging, 2020A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known-statistically detection tasks
M. Han, B. Kim, and J. Baek
SPIE Medical Imaging, 2020Convolutional neural network based anthropomorphic model observer for breast tomosynthesis images
C. Lee and J. Baek
SPIE Medical Imaging, 2020
2019
2019
Multislice anthropomorphic model observer for detectability evaluation on breast cone beam CT images
M. Han, and J. Baek
Fully3D, 2019 [Oral Presentation]Field of view bases metal artifact reduction method with the presence of data truncation
S. Choi, and J. Baek
Fully3D, 2019
Investigation on lesion detectability in step-and-shoot mode and continuous mode digital tomosynthesis system with anatomical background
C. Lee, and J. Baek
SPIE Medical Imaging, 2019Multidimensional Noise Reduction in C-arm Cone-beam CT via 2D-based Landweber Iteration and 3D-based Deep Neural Networks
J. Kim, D. Choi, S. Chae, B. Kim, J. Baek, A. Maier, R. Fahrig, H. Park, J. Choi
SPIE Medical Imaging, 2019Investigation on slice direction dependent denoising performance of convolutional neural network in cone beam CT images
E. Lee, B. Kim, J. Baek
SPIE Medical Imaging, 2019Implementation of an ideal observer model using convolutional neural network for breast CT images
G. Kim, M. Han, H. Shim, J. Baek
SPIE Medical Imaging, 2019 [Oral Presentation]Performance comparison of water phantom based flat field correction methods for photom counting spectral CT images: Experimental results
D. Kim, and J. Baek
SPIE Medical Imaging, 2019Performance comparison of convolutional neural network based denoising in low dose CT images for various loss functions
B. Kim, M. Han, H. Shim, J. Baek
SPIE Medical Imaging, 2019
2018
2018
Comparison of flat field correction methods for photon-counting spectral CT images
D. Kim and J. Baek
IEEE MIC, 2018Image Quality Enhancement of Digital Breast Tomosynthesis Images by Deblurring with Deep Residual Convolutional Neural Networks
Y. Choi, H. Shim, and J. Baek
IEEE MIC, 20183-D MTF Estimation Using Sphere Phantoms for Cone-Beam Computed Tomography Systems
H. Song, C. Lee and J. Baek
IEEE MIC, 2018Performance comparison of deep learning based denoising techniques in low-dose CT images
B. Kim, H. Shim, and J. Baek
CT Meeting, 2018A multi pass approach to reduce cone beam artifacts in a circular orbit cone beam CT system
C. Han and J. Baek
CT Meeting, 2018Feasibility study of deep convolutional generative adversarial networks to generate mammography images
G. Kim, H. Shim, and J. Baek
SPIE Medical Imaging, 2018Lesion detection performance of cone beam CT images with anatomical noise background: single slice vs multi slice human and model observer study
M. Han, H. Jang and J. Baek
SPIE Medical Imaging, 2018 [Oral Presentation]A deeper convolutional neural network for denoising low dose CT images
B. Kim, H. Shim and J. Baek
SPIE Medical Imaging, 2018A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images
S. Choi and J. Baek
SPIE Medical Imaging, 2018In-plane MTF measurement using sphere phantoms for step-and-shoot mode and continuous mode digital tomosynthesis systems
C. Lee and J. Baek
SPIE Medical Imaging, 2018
2017
2017
Comparison of lesion detectability with single slice and multiple slice images in breast cone beam computed tomography
M. Han and J. Baek
Fully3D, 2017 [Oral Presentation]Detectability of multiple slice breast cone beam computed tomography images
M. Han, B. Kim, and J. Baek
AAPM, 2017Investigation on location dependent detectability in cone beam CT images with uniform and anatomical backgrounds
M. Han and J. Baek
SPIE Medical Imaging, 2017 [Oral Presentation]Dual energy approach for cone beam artifacts correction
C. Han, S. Choi, C. Lee, and J. Baek
SPIE Medical Imaging, 2017Comparison of detectability in step-and-shoot mode and continuous mode digital tomosynthesis systems
C. Lee, M. Han, and J. Baek
SPIE Medical Imaging, 2017The effect of a finite focal spot size on location dependent detectability in a fan beam CT system
B. Kim, and J. Baek
SPIE Medical Imaging, 2017
2016
2016
A method to reduce information loss in JPEG compressed medical images using Richardson-Lucy deconvolution
Y. Choi, M. Han, and J. Baek
AAPM, 2016Investigation on detectability of cone beam CT images with anatomical background
M. Han, and J. Baek
GRC Image Science, 2016Effect of anatomical backgrounds on detectability in volumetric cone beam CT images
M. Han, S. Park, and J. Baek
SPIE Medical Imaging, 2016Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation
C. Lee, S. Park, and J. Baek
SPIE Medical Imaging, 2016Metal artifact reduction algorithm based on the data-adapted moving least squares using minimum estimated sinogram
H. Nam and J. Baek
CT meeting, 2016
2015
2015
SU-E-10: Investigation on detectability of a small target for different slice direction of a volumetric cone beam CT image
C. Lee, M. Han, and J. Baek
AAPM, 2015Directional MTF measurement using sphere phantoms for a digital breast tomosynthesis system
C. Lee and J. Baek
SPIE Medical Imaging, 2015Comparison of cone beam artifacts reduction: two pass algorithm vs TV-based CS algorithm
S. Choi and J. Baek
SPIE Medical Imaging, 2015Investigation on viewing direction dependent detectability in a reconstructed 3D volume for a cone beam CT system
J. Park, C. Lee, and J. Baek
SPIE Medical Imaging, 20153D motion artifact compenstation in CT image wih depth camera
Y. Ko, J. Baek, and H. Shim
IS&T/SPIE Medical Imaging, 2015A New Channel Design of Channelized Hotelling Observer and Internal Noise Optimization to Match Human Observer
M. Han and J. Baek
Fully3D, 2015Metal artifact reduction algorithm using directional interpolation by sinogram decomposed derivatives
H. Nam and J. Baek
IEEE MIC/NSS, 2015
2014
2014
Comparison of deconvolution techniques to measure directional MTF of FDK reconstruction
C. Lee, Y. Ko, J. Park, and J. Baek
SPIE Medical Imaging, 2014Investigations of internal noise levels for different target sizes, contrasts, and noise structures
M. Han, S. Choi, and J. Baek
SPIE Medical Imaging, 2014
Before 2014
Before 2014
Effects of Sparse Sampling Schemes on Image Quality in Low-Dose CT
S. Abbsa, T. Lee, H. Chung, Lee, T. H. Chung, J. Baek, and S. Cho
AAPM, 2013Initial results with a multi-source inverse-geometry CT system
J. Baek, B. Deman, J. Uribe, D. Harrison, J. Reynolds, B. Neculaes, L. INzinna, and A. Caiafa
SPIE Medical Imaging, 2012Data normalization method for a multi-source inverse geometry CT system
J. Baek and N. J. Pelc
SPIE Medical Imaging, 2012Frequency-combined extended 3D reconstruction for multiple circular cone-beam CT scans
G. Rainer, J. Baek, N. J. Pelc, and M. Kachelriess
IEEE MIC, 2011Use of sphere phantoms to measure the 3D MTF of FDK reconstructions
J. Baek and N. J. Pelc
SPIE Medical Imaging, 2011Multisource Inverse-Geometry CT-Prototype System Integration
J. Uribe, J. REynolds, L. Inzinna, R. Longtin, D. Harrison, B. De Man, B. Neculaes, A. Caiafa, W. Waters, K. Frtschy, R. Senzig, J. Baek, and N. J. Pelc
IEEE MIC, 2010Multisource inverse-geometry CT: From system concept to research prototype
B. De Man, A. Caiafa, C. Yang, K. Frutscky, D. Harrison, L. Inzinna, R. Longin, B. Neculaes, J. Reynolds, J. Roy, J. Short, J. Uribe, W. Waters, Y. Zhye, Z. Xi, Z. Yun, B. Senzig, J. Baek, and N. Pelc
IEEE MIC, 2009Analytical construction of 3D NPS for a cone beam CT system
J. Baek and N. J. Pelc
SPIE Medical Imaging, 2009SNR efficient 3D reconstruction algorithm for multi-source inverse geometry CT system
J. Baek and N. J. Pelc
SPIE Medical Imaging, 2009Analytical derivation of the noise power spectrum for a fan beam system
J. Baek and N. J. Pelc
AAPM, 2008A new reconstruction method to improve SNR for an inverse geometry CT system
J. Baek and N. J. Pelc
SPIE Medical Imaging, 2008Two-dimensional reconstruction algorithm of an inverse-geometry volumetric CT system
J. Baek and N. J. Pelc
SPIE Medical Imaging, 2007
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