OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 14.03.2026, 22:48

Chris McIntosh

251 Arbeiten2.862 Zitationen

University Health Network · CA

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Transparency and reproducibility in artificial intelligence

2020 · 471 Zit. · Nature

Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer

2021 · 165 Zit. · Nature Medicine

Unlocking Tomorrow’s Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence

2024 · 30 Zit. · Canadian Journal of Cardiology

Understanding machine learning classifier decisions in automated radiotherapy quality assurance

2021 · 10 Zit. · Physics in Medicine and Biology

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.