Correlation between model observers in uniform background and human observer in patient liver background for a low-contrast detection task in CT. - Hao Gong 003; Lifeng Yu; Shuai Leng; Samantha K. Dilger; Wei Zhou; Liqiang Ren; Cynthia H. McCollough (Image Perception, Observer Performance, and Technology Assessment, 2018)

Correlation between a deep-learning-based model observer and human observer for a realistic lung nodule localization task in chest CT. - Hao Gong 003; Andrew Walther; Qiyuan Hu; Chi Wan Koo; Edwin A. Takahashi; David L. Levin; Tucker F. Johnson; Megan J. Hora; Shuai Leng; Joel G. Fletcher; Cynthia H. McCollough; Lifeng Yu (Image Perception, Observer Performance, and Technology Assessment, 2019)

Random search as a neural network optimization strategy for Convolutional-Neural-Network (CNN)-based noise reduction in CT. - Nathan R. Huber; Andrew D. Missert; Hao Gong 003; Scott S. Hsieh; Shuai Leng; Lifeng Yu; Cynthia H. McCollough (Image Processing, 2021)

Classification of high-risk coronary plaques using radiomic analysis of multi-energy photon-counting-detector computed tomography (PCD-CT) images. - Chelsea A. S. Dunning; Prabhakar Shantha Rajiah; Scott S. Hsieh; Andrea Esquivel; Mariana Yalon; Nikkole M. Weber; Hao Gong 003; Joel G. Fletcher; Cynthia H. McCollough; Shuai Leng (Computer-Aided Diagnosis, 2023)

A training program to reduce reader search errors for liver metastasis detection in CT. - Scott S. Hsieh; Akitoshi Inoue; Mariana Yalon; David A. Cook; Jeff L. Fidler; Hao Gong 003; Parvathy Sudhir Pillai; Andrew J. Vercnocke; Matthew P. Johnson; Shuai Leng; Lifeng Yu; David R. Holmes III; et al. (Image Perception, Observer Performance, and Technology Assessment, 2023)