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Quantitative Imaging in Medicine and Surgery|October 5, 2020
Automatic detection of pulmonary nodules on CT images with YOLOv3: development and evaluation using simulated and patient dataChenyang Liu, Shen-Chiang Hu, Chunhao Wang, et al.
Physics in Medicine and Biology|February 6, 2020
Development of realistic multi-contrast textured XCAT (MT-XCAT) phantoms using a dual-discriminator conditional-generative adversarial network (D-CGAN)Yushi Chang, Kyle Lafata, William Paul Segars, et al.
Physics in Medicine and Biology|October 2, 2018
Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histologyKyle Lafata, Jing Cai, Chunhao Wang, et al.
Medical Physics|September 11, 2023
Quantifying U-Net uncertainty in multi-parametric MRI-based glioma segmentation by spherical image projectionZhenyu Yang, Kyle Lafata, Eugene Vaios, et al.
Biomedical Physics & Engineering Express|January 13, 2021
Digital phantoms for characterizing inconsistencies among radiomics extraction toolboxesYushi Chang, Kyle Lafata, Chunhao Wang, et al.
Plos One|December 14, 2019
An investigation of machine learning methods in delta-radiomics feature analysisYushi Chang, Kyle Lafata, Wenzheng Sun, et al.
Frontiers in Oncology|June 1, 2022
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning Under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer ApplicationHangjie Ji, Kyle Lafata, Yvonne Mowery, et al.
Medical Physics|February 25, 2023
A neural ordinary differential equation model for visualizing deep neural network behaviors in multi-parametric MRI-based glioma segmentationZhenyu Yang, Zongsheng Hu, Hangjie Ji, et al.
Physics in Medicine and Biology|June 1, 2021
A generative adversarial network (GAN)-based technique for synthesizing realistic respiratory motion in the extended cardiac-torso (XCAT) phantomsYushi Chang, Zhuoran Jiang, William Paul Segars, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|April 21, 2021
Can radiomic analysis of a single-phase dual-energy CT improve the diagnostic accuracy of differentiating enhancing from non-enhancing small renal lesions?Yuqin Ding, Mathias Meyer, Peijie Lyu, et al.
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