Computational Radiomics System to Decode the Radiographic Phenotype
2017 · Cancer Research · 6,266 citations
https://doi.org/10.1158/0008-5472.can-17-0339
A
Ahmed Hosny
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Ahmed Hosny is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Lung Cancer Diagnosis and Treatment & earthquake and tectonic studies. The author has an h-index of 26, co-authored 91 publications.
ORCID: 0000-0002-1844-481XPapers by this author
worksArtificial intelligence in radiology
2018 · Nature reviews. Cancer · 3,504 citations
https://doi.org/10.1038/s41568-018-0016-5
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 · CA A Cancer Journal for Clinicians · 1,771 citations
https://doi.org/10.3322/caac.21552
Deep learning classification of lung cancer histology using CT images
2021 · Scientific Reports · 242 citations
https://doi.org/10.1038/s41598-021-84630-x
Foundation model for cancer imaging biomarkers
2024 · Nature Machine Intelligence · 143 citations
https://doi.org/10.1038/s42256-024-00807-9
Bioinspired design of flexible armor based on chiton scales
2019 · Nature Communications · 97 citations
https://doi.org/10.1038/s41467-019-13215-0
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