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Ana Sampedro
affiliation not provided to SSRN
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SCHOLARLY PAPERS
1
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Scholarly Papers (1)
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1.
MRI-Based Radiomics and Deep Learning for Predicting Tumor Volume and Survival in a Rat Glioblastoma Model
Number of pages: 28
Posted: 25 Mar 2026
Sara Ortega Espina
,
Sabela Fernández Rodicio
,
Bernardo Rebollo-Montes
,
Pelayo García-Acevedo
, Ana Sampedro,
Marcos Bazarra-Barreiros
,
Maria Teresa Abengoza-Bello
,
Antonio J Mosqueira
,
Jacobo Porto-Álvarez
,
Javier Martínez-Fernández
,
Crhistian-Mario Oblitas
,
José Castillo
,
Pablo Hervella
and
Ramon Iglesias-Rey
affiliation not provided to SSRN
,
affiliation not provided to SSRN
,
affiliation not provided to SSRN
, Universidade de Santiago de Compostela,
affiliation not provided to SSRN
,
affiliation not provided to SSRN
,
affiliation not provided to SSRN
,
affiliation not provided to SSRN
,
affiliation not provided to SSRN
,
affiliation not provided to SSRN
,
affiliation not provided to SSRN
, Universidade de Santiago de Compostela - Health Research Institute of Santiago de Compostela (IDIS),
affiliation not provided to SSRN
and Universidade de Santiago de Compostela - Health Research Institute of Santiago de Compostela (IDIS)
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Abstract:
Radiomics, Deep Learning, Magnetic Resonance Imaging (MRI), Glioblastoma, Tumor prediction
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