Benjamin Haibe‐Kains
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Transparency and reproducibility in artificial intelligence
2020 · 474 Zit. · Nature
Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data
2019 · 136 Zit. · European Journal of Nuclear Medicine and Molecular Imaging
Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis
2023 · 46 Zit. · JNCI Journal of the National Cancer Institute
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image
2020 · 42 Zit. · arXiv (Cornell University)
SCARF: Auto-Segmentation Clinical Acceptability & Reproducibility Framework for Benchmarking Essential Radiation Therapy Targets in Head and Neck Cancer
2022 · 2 Zit.
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data
2023 · 2 Zit. · F1000Research
Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data
2024 · 2 Zit. · F1000Research
Health Data Nexus: an open data platform for AI research and education in medicine
2025 · 1 Zit. · GigaScience
Abstract PR-04: A practical framework for operationalizing responsible and equitable AI in healthcare: Tackling bias, inequity, and implementation challenges
2025 · 1 Zit. · Clinical Cancer Research
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.