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Ana Jimenez-Pastor

Showing results (1-10 of 20) with videos related to

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JMIR Formative Research|June 11, 2026
Automated Machine Learning Frameworks for Radiomics: Comparative Evaluation StudyJose Lozano-Montoya, Emilio Soria-Olivas, Almudena Fuster-Matanzo, et al.
European Radiology Experimental|August 18, 2025
Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scansXavier Rafael-Palou, Ana Jimenez-Pastor, Luis Martí-Bonmatí, et al.
La Radiologia Medica|September 16, 2019
Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT dataAna Jimenez-Pastor, Angel Alberich-Bayarri, Belen Fos-Guarinos, et al.
European Radiology Experimental|January 6, 2026
Impact of hepatic vessels on whole liver proton density fat fraction and R2* quantificationAna Jimenez-Pastor, David Marti-Aguado, Bernardo Pereira, et al.
European Radiology|March 26, 2021
Precise whole liver automatic segmentation and quantification of PDFF and R2* on MR imagesAna Jimenez-Pastor, Angel Alberich-Bayarri, Rafael Lopez-Gonzalez, et al.
Insights Into Imaging|May 22, 2026
A pre-trained foundation model framework for multiplanar MRI classification of extramural vascular invasion and mesorectal fascia invasion in rectal cancerYumeng Zhang, Shruti Atul Mali, Danial Khan, et al.
European Radiology Experimental|January 15, 2025
Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!Ioanna Chouvarda, Sara Colantonio, Ana S C Verde, et al.
European Radiology|September 8, 2025
Prediction of oncogene mutation status in non-small cell lung cancer: a systematic review and meta-analysis with a special focus on artificial intelligence-based methodsAlmudena Fuster-Matanzo, Alfonso Picó-Peris, Fuensanta Bellvís-Bataller, et al.
European Radiology|December 20, 2024
CT-based clinical-radiomics model to predict progression and drive clinical applicability in locally advanced head and neck cancerGema Bruixola, Delfina Dualde-Beltrán, Ana Jimenez-Pastor, et al.
Insights Into Imaging|April 25, 2026
Combined radiomics, PI-RADS, and clinical model improve significant prostate cancer prediction and guide biopsy decisionAndreu Antolin, Richard Mast, Nuria Roson, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
JMIR Formative Research|June 11, 2026
Automated Machine Learning Frameworks for Radiomics: Comparative Evaluation StudyJose Lozano-Montoya, Emilio Soria-Olivas, Almudena Fuster-Matanzo, et al.
European Radiology Experimental|August 18, 2025
Advancing deep learning-based segmentation for multiple lung cancer lesions in real-world multicenter CT scansXavier Rafael-Palou, Ana Jimenez-Pastor, Luis Martí-Bonmatí, et al.
La Radiologia Medica|September 16, 2019
Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT dataAna Jimenez-Pastor, Angel Alberich-Bayarri, Belen Fos-Guarinos, et al.
European Radiology Experimental|January 6, 2026
Impact of hepatic vessels on whole liver proton density fat fraction and R2* quantificationAna Jimenez-Pastor, David Marti-Aguado, Bernardo Pereira, et al.
European Radiology|March 26, 2021
Precise whole liver automatic segmentation and quantification of PDFF and R2* on MR imagesAna Jimenez-Pastor, Angel Alberich-Bayarri, Rafael Lopez-Gonzalez, et al.
Insights Into Imaging|May 22, 2026
A pre-trained foundation model framework for multiplanar MRI classification of extramural vascular invasion and mesorectal fascia invasion in rectal cancerYumeng Zhang, Shruti Atul Mali, Danial Khan, et al.
European Radiology Experimental|January 15, 2025
Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!Ioanna Chouvarda, Sara Colantonio, Ana S C Verde, et al.
European Radiology|September 8, 2025
Prediction of oncogene mutation status in non-small cell lung cancer: a systematic review and meta-analysis with a special focus on artificial intelligence-based methodsAlmudena Fuster-Matanzo, Alfonso Picó-Peris, Fuensanta Bellvís-Bataller, et al.
European Radiology|December 20, 2024
CT-based clinical-radiomics model to predict progression and drive clinical applicability in locally advanced head and neck cancerGema Bruixola, Delfina Dualde-Beltrán, Ana Jimenez-Pastor, et al.
Insights Into Imaging|April 25, 2026
Combined radiomics, PI-RADS, and clinical model improve significant prostate cancer prediction and guide biopsy decisionAndreu Antolin, Richard Mast, Nuria Roson, et al.
Pageof 2