From the 2 of 4 linked papers with an AI index.
4 papers
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…
Value-Monotonicity Matters: A Concordance Loss for Deep Survival Prediction
Meixu Chen, Kai Wang, Jing Wang
Deep survival models are evaluated almost exclusively by the concordance index (C-index), yet they are commonly trained using likelihood objectives such as the Cox partial likeliho…
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…