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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

We present HERMES (Hybrid Ensemble for Radiotherapy-target segmentation, Malignancy staging, and Event-free Survival), a single containerized algorithm for the three HECKTOR 2026 s…

cs.CV2026

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

Background: Early prediction of distant metastasis (DM) risk in head and neck cancer (HNC) can enable timely interventions that may improve treatment outcomes. Many current machine…

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…

cs.CV2024

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…

cs.CV2024

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…