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Journal Articles
- 2022
[j3]Degan Hao
, Maaz Ahsan, Tariq Salim, Andres Duarte-Rojo, Dadashzadeh Esmaeel, Yudong Zhang, Dooman Arefan, Shandong Wu:
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation. Artif. Intell. Medicine 132: 102366 (2022)- [j2]Degan Hao, Qiong Li, Qiuxia Feng, Liang Qi, Xisheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu:
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables. Artif. Intell. Medicine 134: 102424 (2022) - 2020
- [j1]Degan Hao, Lei Zhang, Jules H. Sumkin, Aly A. Mohamed, Shandong Wu:
Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance. IEEE J. Biomed. Health Informatics 24(9): 2701-2710 (2020)
Conference and Workshop Papers
- 2024
- [c4]Degan Hao, Qiong Li, Yudong Zhang, Shandong Wu:
Medical Knowledge-Enabled Multi-Task Learning for Gastric Cancer Survival Prediction. ISBI 2024: 1-5 - [c3]Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Degan Hao, Jules H. Sumkin, Shandong Wu:
Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images. ISBI 2024: 1-5 - 2023
- [c2]Degan Hao, Mohammadreza Negahdar:
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention. ICHI 2023: 162-167 - 2022
- [c1]Degan Hao, Dooman Arefan, Shandong Wu:
Incorporate radiograph-reading behavior and knowledge into deep reinforcement learning for lesion localization. Medical Imaging: Computer-Aided Diagnosis 2022
Informal and Other Publications
- 2024
- [i2]Degan Hao, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Shandong Wu:
Adversarially Robust Feature Learning for Breast Cancer Diagnosis. CoRR abs/2402.08768 (2024) - 2023
- [i1]Degan Hao, Mohammadreza Negahdar:
Predicting Outcomes in Long COVID Patients with Spatiotemporal Attention. CoRR abs/2307.04770 (2023)
Coauthor Index
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