Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling
2019 · BJR|Open · 107 citations
https://doi.org/10.1259/bjro.20190021
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Sunan Cui
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Sunan Cui is an academic researcher from University of Southern California. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Advanced Radiotherapy Techniques & Lung Cancer Diagnosis and Treatment. The author has an h-index of 13, co-authored 34 publications.
ORCID: 0000-0002-8846-9449Papers by this author
worksIntegrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy
2021 · International Journal of Radiation Oncology*Biology*Physics · 65 citations
https://doi.org/10.1016/j.ijrobp.2021.01.042
1508: Chest wall pain after single-fraction SABR: Dosimetric analysis from the iSABR trial (NCT01463423)
2024 · Radiotherapy and Oncology · 0 citations
https://doi.org/10.1016/s0167-8140(24)01889-9
Predicting Voxel-Level Local Progression for Locally Advanced NSCLC following Chemoradiation Using Multi-Task Deep Learning
2025 · International Journal of Radiation Oncology*Biology*Physics · 0 citations
https://doi.org/10.1016/j.ijrobp.2025.06.1246
Deep bayesian neural networks for UWB phase error correction in positioning systems
2025 · Scientific Reports · 0 citations
https://doi.org/10.1038/s41598-025-22420-5
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