A Technical Guide Describing the Use of Transradial Access Technique for Endovascular Interventions
2015 · Techniques in vascular and interventional radiology · 74 citations
https://doi.org/10.1053/j.tvir.2015.04.002
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Nathaniel Swinburne
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Nathaniel Swinburne is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Hepatocellular Carcinoma Treatment and Prognosis & Glioma Diagnosis and Treatment. The author has an h-index of 12, co-authored 31 publications.
ORCID: 0000-0001-5831-7287Papers by this author
worksSemisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations
2022 · Radiology · 12 citations
https://doi.org/10.1148/radiol.210817
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations
2022 · Radiology · 12 citations
https://doi.org/10.1148/radiol.210817
Extraction and classification of structured data from unstructured hepatobiliary pathology reports using large language models: a feasibility study compared with rules-based natural language processing
2024 · Journal of Clinical Pathology · 7 citations
https://doi.org/10.1136/jcp-2024-209669
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