Low-dose computed tomography perceptual image quality assessment.
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Medical Image Anal., 2025
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser.
IEEE Access, 2022
Low-dose CT denoising via CNN trained using images with activation map.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain data.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data.
IEEE Access, 2020
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images.
Proceedings of the Medical Imaging 2020: Image Perception, 2020
A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks.
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Implementation of an ideal observer model using convolutional neural network for breast CT images.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs multi-slice human and model observer study.
Proceedings of the Medical Imaging 2018: Image Perception, 2018
Effect of anatomical backgrounds on detectability in volumetric cone beam CT images.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016