Weigang Hu

Shanghai Medical College of Fudan University — China

Physics and Astronomy · Physical Sciences

29h-index2.8kcitations194works0.42yr avg
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Research Topics

Advanced Radiotherapy Techniques(102), Radiomics and Machine Learning in Medical Imaging(51), Medical Imaging Techniques and Applications(37), Radiation Therapy and Dosimetry(29), Lung Cancer Diagnosis and Treatment(22)

Publications194 total

Multicenter study on the versatility and adoption of AI-driven automated radiotherapy planning across cancer types
Nature Communications·2025· 1 citedOpen Access
Deep learning‐based 3D dose reconstruction for intensity modulated radiation therapy using electronic portal imaging devices
Journal of Applied Clinical Medical Physics·2025Open Access
Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model
Medical Physics·2025Open Access
4π Non-Coplanar Stereotactic Body Radiation Therapy: Dosimetric Evaluation of VMAT Configurations for Recurrent Head and Neck Tumors
International Journal of Radiation Oncology*Biology*Physics·2025
Deep Learning for the Diagnosis and Treatment of Thyroid Cancer: A Review
Endocrine Practice·2025· 1 cited
Beyond the ratio of tumor reduction: residual volume after induction chemotherapy emerges as the optimal biomarker in advanced nasopharyngeal cancer
Radiation Oncology·2025· 2 citedOpen Access
Adaptive objective function and weights for inverse radiotherapy planning: A versatile strategy for complex cases
Journal of Radiation Research and Applied Sciences·2025Open Access
Research and applications of artificial intelligence in modern radiotherapy procedures
Chinese Science Bulletin (Chinese Version)·2025Open Access
Optimizing Helical Tomotherapy for Left-Sided Breast Cancer: A Retrospective Dosimetric Study of a Novel Virtual Organ-Arc Block
Technology in Cancer Research & Treatment·2025Open Access
Author response for "Optimizing Helical Tomotherapy for Left-Sided Breast Cancer: A Retrospective Dosimetric Study of a Novel Virtual Organ-Arc Block"
2025
1955 Deep learning-based recurrence prediction of nasopharyngeal carcinoma
Radiotherapy and Oncology·2025
1977 Global and Local Feature Fusion Diffusion Model for Low-Dose CT Image Denoising
Radiotherapy and Oncology·2025
Adaptive radiotherapy triggering for nasopharyngeal cancer based on bayesian decision model
Physics in Medicine and Biology·2025Open Access
Prior-image-based low-dose CT reconstruction for adaptive radiation therapy
Physics in Medicine and Biology·2024· 1 cited
317 Multicenter evaluation of deep-learning based deliverable automated radiotherapy planning
Radiotherapy and Oncology·2024
1553: An in-vivo dosimetry clinical decision model for adaptive radiotherapy of nasopharyngeal carcinoma
Radiotherapy and Oncology·2024
Inter-fractional portability of deep learning models for lung target tracking on cine imaging acquired in MRI-guided radiotherapy
Physical and Engineering Sciences in Medicine·2024· 1 cited
Comparative Evaluation of Dosimetric Quality and Treatment Efficiency for Halcyon, TrueBeam, and TomoTherapy in Cervical-Thoracic Esophageal Cancer Radiotherapy
Technology in Cancer Research & Treatment·2024· 1 citedOpen Access
A MRI-based radiomics combined prediction model for radiation-induced temporal lobe injury in nasopharyngeal carcinoma patients
Journal of Radiation Research and Applied Sciences·2023· 2 citedOpen Access
Implementation and evaluation of an iterative-based algorithm for automatic beam angle optimization in breast cancer treatment planning
Medical dosimetry·2023· 1 cited
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Frequent Co-authors

Jiazhou Wang(24), Zhen Zhang(8), Les P. Nagata(8), Jiayuan Peng(5), Damon Chau(5), Jiawei Fan(4), Chaosu Hu(4), Lijun Shen(4), Zhen Zhang(4), Xin‐Xing Gu(4), Zhi Chen(3), Paul Yao(3), Weiguo Xie(3), Zhaozhi Yang(3), Panpan Hu(3), Zhen Zhang(3), Yingtao Fang(3), Ji Zhu(3), Gang Cai(3), Xueqing Zhou(2)