Biling Wang

16 papers Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality.
CoRR
Biling Wang, Austen Maniscalco, Ti Bai, Siqiu Wang, Michael Dohopolski, Mu-Han Lin, Chenyang Shen, Dan Nguyen, Junzhou Huang, Steve B. Jiang, Xinlei Wang
2025 J jnl
Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer.
Mach. Learn. Sci. Technol.
Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve B. Jiang, Dan Nguyen
2025 J jnl
Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework.
Mach. Learn. Sci. Technol.
Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve B. Jiang, Dan Nguyen
2024 J jnl
Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapy.
Mach. Learn. Sci. Technol.
Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Daniel Yang, Dan Nguyen, Mu-Han Lin, Robert Timmerman, Xinlei Wang, Steve B. Jiang
2024 J jnl
Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net.
Mach. Learn. Sci. Technol.
Shunyu Yan, Austen Maniscalco, Biling Wang, Dan Nguyen, Steve B. Jiang, Chenyang Shen
2022 — conf
A Review of Virtual Display Construction Methods.
DSIE
Zhicheng Lai, Jue Wu, Xiaoyue Xing, Biling Wang
2022 J jnl
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy.
CoRR
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
2022 J jnl
Region Specific Optimization (RSO)-based Deep Interactive Registration.
CoRR
Ti Bai, Mu-Han Lin, Xiao Liang, Biling Wang, Michael Dohopolski, Bin Cai, Dan Nguyen, Steve B. Jiang
2022 J jnl
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective.
CoRR
Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang
2021 J jnl
Deep High-Resolution Network for Low Dose X-ray CT Denoising.
CoRR
Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
2021 J jnl
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography.
IEEE Trans. Medical Imaging
Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang
2021 J jnl
Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm.
Mach. Learn. Sci. Technol.
Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang
2021 — conf
Multi-Stage Prediction of Feed System Time Series.
CECNet
Lihua Shen, Biling Wang, Hongjun Liu
2020 J jnl
Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm.
CoRR
Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang
2020 J jnl
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography.
CoRR
Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang
2020 J jnl
Probabilistic self-learning framework for Low-dose CT Denoising.
CoRR
Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang