Degan Hao

According to our database, Degan Hao authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks.

Zhengbo Zhou, Degan Hao, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu

CoRR, 2024

Adversarially Robust Feature Learning for Breast Cancer Diagnosis.

Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu

CoRR, 2024

Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images.

Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Degan Hao, Jules H. Sumkin, Shandong Wu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Medical Knowledge-Enabled Multi-Task Learning for Gastric Cancer Survival Prediction.

Degan Hao, Qiong Li, Yudong Zhang, Shandong Wu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention.

Degan Hao, Mohammadreza Negahdar

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables.

Degan Hao, Qiong Li, Qiuxia Feng, Liang Qi, Xisheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu

Artif. Intell. Medicine, 2022

A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation.

Degan Hao, Maaz Ahsan, Tariq Salim, Andres Duarte-Rojo, Dadashzadeh Esmaeel, Yudong Zhang, Dooman Arefan, Shandong Wu

Artif. Intell. Medicine, 2022

Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization.

Degan Hao, Dooman Arefan, Shandong Wu

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2020

Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance.

Degan Hao, Lei Zhang, Jules H. Sumkin, Aly A. Mohamed, Shandong Wu

IEEE J. Biomed. Health Informatics, 2020