Biling Wang

According to our database, Biling Wang authored at least 9 papers between 2020 and 2022.

Collaborative distances:

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

2022

Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy.

Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Dan Nguyen, Xinlei Wang, Mu-Han Lin, Robert Timmerman, Steve B. Jiang

CoRR, 2022

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective.

Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang

CoRR, 2022

Region Specific Optimization (RSO)-based Deep Interactive Registration.

Ti Bai, Mu-Han Lin, Xiao Liang, Biling Wang, Michael Dohopolski, Bin Cai, Dan Nguyen, Steve B. Jiang

CoRR, 2022

A Review of Virtual Display Construction Methods.

Zhicheng Lai, Jue Wu, Xiaoyue Xing, Biling Wang

Proceedings of the Design Studies and Intelligence Engineering, 2022

2021

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography.

Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang

IEEE Trans. Medical Imaging, 2021

Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm.

Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang

Mach. Learn. Sci. Technol., 2021

Deep High-Resolution Network for Low Dose X-ray CT Denoising.

Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang

CoRR, 2021

Multi-Stage Prediction of Feed System Time Series.

Lihua Shen, Biling Wang, Hongjun Liu

Proceedings of CECNet 2021, 2021

2020

Probabilistic self-learning framework for Low-dose CT Denoising.

Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang

CoRR, 2020