Hao Gong

According to our database, Hao Gong authored at least 5 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Parvathy Sudhir Pillai, Andrew J. Vercnocke, Matthew P. Johnson, Shuai Leng, Lifeng Yu, David R. Holmes III, Rickey E. Carter, Cynthia H. McCollough, Joel G. Fletcher

Proceedings of the Medical Imaging 2023: Image Perception, 2023

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, Joel G. Fletcher, Cynthia H. McCollough, Shuai Leng

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2021

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, Scott S. Hsieh, Shuai Leng, Lifeng Yu, Cynthia H. McCollough

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2019

Correlation between a deep-learning-based model observer and human observer for a realistic lung nodule localization task in chest CT.

Hao Gong, 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

Proceedings of the Medical Imaging 2019: Image Perception, 2019

2018

Correlation between model observers in uniform background and human observer in patient liver background for a low-contrast detection task in CT.

Hao Gong, Lifeng Yu, Shuai Leng, Samantha K. Dilger, Wei Zhou, Liqiang Ren, Cynthia H. McCollough

Proceedings of the Medical Imaging 2018: Image Perception, 2018