Effect of anatomical backgrounds on detectability in volumetric cone beam CT images. - Minah Han; Subok Park; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2016)

Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs multi-slice human and model observer study. - Minah Han; Hanjoo Jang; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2018)

Implementation of an ideal observer model using convolutional neural network for breast CT images. - Gihun Kim; Minah Han; Hyunjung Shim; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2019)

A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks. - Minah Han; Byeongjoon Kim; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2020)

Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images. - Byeongjoon Kim; Minah Han; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2020)

A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data. - Byeongjoon Kim; Minah Han; Jongduk Baek (IEEE Access, 2020)

A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain data. - Minwoo Yu; Minah Han; Jongduk Baek (Image Processing, 2022)

Low-dose CT denoising via CNN trained using images with activation map. - Minah Han; Jongduk Baek (Image Perception, Observer Performance, and Technology Assessment, 2022)

Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser. - Minah Han; Hyunjung Shim; Jongduk Baek (IEEE Access, 2022)

Low-dose computed tomography perceptual image quality assessment. - Wonkyeong Lee; Fabian Wagner; Adrian Galdran; Yongyi Shi; Wenjun Xia; Ge Wang 001; Xuanqin Mou; Md. Atik Ahamed; Abdullah-Al-Zubaer Imran; Ji Eun Oh; Kyungsang Kim; Jong Tak Baek; et al. (Medical Image Anal., 2025)