ensemble learning 1head-and-neck cancer 1PET/CT 1radiological staging 1survival prediction 1tumor segmentation 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
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…
cs.LG2026
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…
cs.CV2024
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…