Journals

  • Artificial Intelligence Model for Detection of Colorectal Cancer on Routine Abdominopelvic CT Examinations: A Training and External-Testing Study
    S Kim, H Seo, K Choi, S Kim, K Han, YY Kim, N Seo, JJ Chung, JS Lim
    American Journal of Roentgenology, 2025

  • Self-Supervised Learning-based CT Image Denoising and Reconstruction: A Review
    K Choi
    Biomedical Engineering Letters, 2024. (invited paper)

  • Self-Supervised Denoising of Projection Data for Low-Dose Cone-Beam CT
    K Choi, SH Kim, S Kim
    Medical Physics, 2023.

  • Self-Supervised Inter- and Intra-Slice Correlation Learning for Low-Dose CT Image Restoration without Ground Truth
    K Choi, S Kim, J Lim
    Expert Systems with Applications, 2022.

  • Prediction of the histology of colorectal neoplasm in white light colonoscopic images using deep learning algorithms
    SJ Choi, ES Kim, K Choi
    Scientific Reports, 2021.

  • StatNet: Statistical Image Restoration for Low-Dose CT using Deep Learning
    K Choi, S Kim, J Lim
    IEEE Journal of Selected Topics in Signal Processing, 2020.

  • A Subband-Specific Deconvolution Model for MTF Improvement in CT
    S Han, K Choi, S Yoo
    Journal of Healthcare Engineering, 2017.

  • A Distance-Driven Deconvolution Method for CT Image-Resolution Improvement
    S Han, K Choi, S Yoo, J Yi
    Journal of the Korean Physical Society, 2016.

  • A Preliminary Study of an Image Synthesis Method to Simulate the Change in Incident X-ray Spectrum using Thickness Information
    S Han, K Choi, S Yoo
    Journal of the Korean Physical Society, 2016.

  • A Fourier-based Compressed Sensing Technique for Accelerated CT Image Reconstruction using First-Order Methods
    K Choi, R Li, H Nam, L Xing
    Physics in Medicine and Biology, 2014.

  • First Study of On-Treatment Volumetric Imaging During Respiratory Gated VMAT
    K Choi, L Xing, A Koong, R Li
    Medical Physics, 2013.

  • Enhancement of Four-Dimensional Cone-Beam Computed Tomography by Compressed Sensing with Bregman Iteration
    K Choi, B Fahimian, T Li, T-S, Suh, L Xing
    Journal of X-Ray Science and Technology, 2013.

  • Total-Variation Regularization based Inverse Planning for Intensity Modulated Arc Therapy
    L Zhu, T Niu, K Choi, L Xing
    Technology of Cancer Research & Treatment, 2012.

  • Compressed Sensing based Cone-Beam Computed Tomography Reconstruction with a First-Order Method
    K Choi, J Wang, L Zhu, T-S Suh, S Boyd, L Xing
    Medical Physics, 2010.

Conferences, Workshops, and Meetings

  • A Comparative Study between Image and Projection-Domain Self-Supervised Denoising for Ultra Low-Dose CBCT
    K Choi
    EMBC 2022

  • A Bounding-Box Regression Model for Colorectal Tumor Detection in CT Images Via Two Contrary Networks
    Y Kim, S Park, H Kim, SS Kim, JS Lim, S Kim, K Choi, H Seo
    EMBC 2022

  • Self-supervised Projection Denoising for Low-Dose Cone-Beam CT
    K Choi
    EMBC 2021

  • Weakly Supervised Attention Map Training for Histological Localization of Colonoscopy Images
    K Choi, SJ Choi, ES Kim
    EMBC 2020

  • Statistical Image Restoration for Low-Dose CT using Convolutional Neural Networks
    K Choi, S Kim
    EMBC 2020

  • Trainable multi-contrast windowing for liver CT segmentation
    J Kwon, K Choi
    BigComp 2020 (best paper award)

  • Semi-Supervised Learning for Low-Dose CT Image Restoration with Hierarchical Deep Generative Adversarial Network (HD-GAN)
    K Choi, M Vania, S Kim
    EMBC 2019

  • Real-time image reconstruction for low-dose CT using deep convolutional generative adversarial networks (GANs)
    K Choi, S Kim, J Lim
    SPIE MI 2018

  • Iterative Optimization using Beam-Specific Normalization for IMRT with Arbitrary Beam Profiles
    K Choi, T Li, T-S Suh, L Xing
    AAPM 2012

  • Enhancement of Four-Dimensional Cone-Beam Computed Tomography by Compressed Sensing with Bregman Iteration
    K Choi, B Fahimian, T Li, T Suh
    AAPM 2011

  • Compressed Sensing for Low-Dose 4D CBCT Image Reconstruction
    K Choi, T Li, T-S Suh, L Xing
    ASTRO 2010

  • A First-Order Method for Dose Reduction in Cone-Beam CT Reconstruction by Compressed Sensing
    K Choi, JWang, L Zhu, T-S Suh, S Boyd, L Xing
    ASTRO 2010

  • A First-Order Method for Low-Dose 4D CBCT Image Reconstruction
    K Choi, T Li, T-S Suh, L Xing
    AAPM 2010

  • Compressed Sensing with a First-Order Method for Low-Dose Cone-Beam CT Reconstruction
    K Choi, J Wang, L Zhu, T-S Suh, S Boyd, L Xing
    AAPM 2010

  • Retrospective Dose Reconstruction for Respiration-Gated VMAT
    J Qian, K Choi, W Liu, L Xing
    AAPM 2010

  • Compressed Sensing with a First-Order Method for Low-Dose Cone-Beam CT Reconstruction
    K Choi, J Wang, L Zhu, T Suh, S Boyd, L Xing
    ICCR 2010

  • CBCT Image Reconstruction via Anisotropic Total-Variation Regularization
    K Choi, J Wang, L Zhu, Y Ye, L Xing
    ASTRO 2009

  • CLPC: Cross-Layer Product Code for Video Multicast over WLAN
    K Choi and S Choi
    MediaWiN 2006

Book Chapters

  • Three- and Four-dimensional Morphological Imaging for Adaptive Radiation Therapy Planning
    L Xing, J Qian, K Choi, T-S Suh
    Chapter 2 in Adaptive Radiation Therapy, CRC Press, 2011.

  • Reliable Multicast for Wireless Local Area Networks
    S Choi and K Choi
    Chapter 4 in Resource, Mobility and Security Management in Wireless Networks and Mobile Communications, CRC Press, 2006.