https://doi.org/10.1038/s41598-024-71674-y
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Adrian Celaya
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4
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2
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Adrian Celaya is an academic researcher from Google (United States). The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Brain Tumor Detection and Classification & Advanced Neural Network Applications. The author has an h-index of 4, co-authored 29 publications.
ORCID: 0000-0003-0041-7239Papers by this author
worksTraining robust T1-weighted magnetic resonance imaging liver segmentation models using ensembles of datasets with different contrast protocols and liver disease etiologies
2024 · Scientific Reports · 7 citations
Training Robust T1-Weighted Magnetic Resonance Imaging Liver Segmentation Models Using Ensembles of Datasets with Different Contrast Protocols and Liver Disease Etiologies
2024 · Research Square · 1 citations
https://doi.org/10.21203/rs.3.rs-4259791/v1
Abstract No. 538 Automated Biliary Segmentation for Percutaneous Transhepatic Biliary Drainage: A Comparative Study of Neural Network Models
2025 · Journal of Vascular and Interventional Radiology · 1 citations
https://doi.org/10.1016/j.jvir.2024.12.481
Head and Neck Gross Tumor Volume Automatic Segmentation Using PocketNet
2025 · Lecture notes in computer science · 1 citations
https://doi.org/10.1007/978-3-031-83274-1_19
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