From the 2 of 6 linked papers with an AI index.
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HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT
Kai Wang, Meixu Chen, Elie Nasr +2
The paper introduces HERMES, a containerized hybrid ensemble system that segments head‑and‑neck tumors on FDG‑PET/CT, predicts radiological T/N stage using geometry features from t…
Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer
Erich Schmitz, Meixu Chen, Bowen Jing +1
The study evaluates CT foundation model embeddings for predicting distant metastasis in head and neck cancer and finds they outperform traditional radiomics and deep‑learning featu…
A multimodal ensemble approach for clear cell renal cell carcinoma treatment outcome prediction
Meixu Chen, Kai Wang, Payal Kapur +3
Purpose: A reliable cancer prognosis model for clear cell renal cell carcinoma (ccRCC) can enhance personalized treatment. We developed a multi-modal ensemble model (MMEM) that int…
TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy
Meixu Chen, Kai Wang, Michael Dohopolski +3
Early identification of head and neck cancer (HNC) patients who would experience significant anatomical change during radiotherapy (RT) is important to optimize patient clinical be…
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation
Meixu Chen, Kai Wang, Jing Wang
A comprehensive and reliable survival prediction model is of great importance to assist in the personalized management of Head and Neck Cancer (HNC) patients treated with curative…