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Red Ion
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Author profile
Yibao Zhang
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital ＆ Institute
Cross-Attention Based Multi-Modal Deep Learning Models for Predicting Local Recurrence In Non-Small Cell Lung Cancer
To develop cross-attention-based multi-modal deep learning models and to preliminarily validate their performance for predicting local recurrence (LR) in patients with non-small cell lung cancer (NSCLC).
Poster Program · Therapy Physics
Benefits of Precise Dect-Based Elemental Composition Estimation In Carbon Ion Therapy
Dual-energy CT (DECT) enables material differentiation by exploiting the energy-dependent attenuation characteristics of tissues, which is particularly beneficial for carbon ion therapy. This study systematically evaluated a recently proposed machine-learning...
Poster Program · Therapy Physics
Deep Learning-Based 4D Dual-Energy CBCT Generation for Material Decomposition
To propose a deep-learning approach for predicting high from low-energy 4D-CBCT.
Poster Program · Therapy Physics
Deep Learning-Based LS-SCLC Patient Selection for the New First-Line Treatment Using High-Dose Hyperfractionated SIB Radiotherapy
To develop risk-stratification and prognosis-prediction models for limited-stage small cell lung cancer (LS-SCLC) patients, suggesting potential candidates that may benefit from the new treatment protocol using high-dose hyperfractionated simultaneous integra...
Poster Program · Clinical Trials Specialty Program
Development and Characterization of a Superconducting Electron Accelerator with Wide-Range Tunable Dose Rate for Flash Effect Research
To investigate the potential impact of dose rate, beam energy, and temporal structure on the FLASH effect, an irradiation platform providing widely tunable dose rate and energy range is desirable. This work aims to develop and characterize a superconducting a...
Poster Program · Therapy Physics
Inter-Fractional Spatiotemporal Dosiomics Improves the Prediction of Local Progression for Patients with Small Cell Lung Cancer
To propose and validate a novel dosimetric method integrating inter-fractional temporal dose changes for improved SCLC prognosis management and individualized decision-making.
Poster Program · Therapy Physics
Large-Scale Automatic Carbon Ion Treatment Planning for Head and Neck Cancers Via Parallel Multi-Agent Reinforcement Learning
Head-and-neck cancer (HNC) treatment planning is challenging due to the close proximity of multiple critical organs-at-risk (OARs) to complex target volumes. Intensity-modulated carbon-ion therapy (IMCT) is attractive for HNC due to superior dose conformity a...
Poster Program · Therapy Physics