OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 16.03.2026, 01:24

Shao Hui Huang

616 Arbeiten18.455 Zitationen

Sun Yat-sen University · CN

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

SCARF: Auto-Segmentation Clinical Acceptability & Reproducibility Framework for Benchmarking Essential Radiation Therapy Targets in Head and Neck Cancer

2022 · 2 Zit.

Supplementary Data from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Figure S2 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

TABLE 1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Supplementary Figure S1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Supplementary Figure S1 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Figure S3 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Data from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Supplementary Figure S3 from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Figure S4 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Supplementary Data from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Data from Multi-institutional prognostic modelling in head and neck cancer:evaluating impact and generalizability of deep learning and radiomics

2023 · 0 Zit.

Supplementary Figure S1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

TABLE 1 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.

Supplementary Figure S4 from Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics

2023 · 0 Zit.