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Andrés Larroza

Showing results (1-10 of 9) with videos related to

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European Radiology|May 16, 2018
Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility studyRafael Ortiz-Ramón, Andrés Larroza, Silvia Ruiz-España, et al.
Magma (New York, N.Y.)|September 24, 2017
2D and 3D texture analysis to differentiate brain metastases on MR images: proceed with cautionMonika Béresová, Andrés Larroza, Estanislao Arana, et al.
European Journal of Radiology|June 19, 2017
Differentiation between acute and chronic myocardial infarction by means of texture analysis of late gadolinium enhancement and cine cardiac magnetic resonance imagingAndrés Larroza, Andrzej Materka, María P López-Lereu, et al.
European Radiology|September 11, 2025
Breast cancer risk assessment for screening: a hybrid artificial intelligence approachRaquel Tendero, Andrés Larroza, Francisco Javier Pérez-Benito, et al.
Diagnostics (Basel, Switzerland)|May 24, 2024
Breast Delineation in Full-Field Digital Mammography Using the Segment Anything ModelAndrés Larroza, Francisco Javier Pérez-Benito, Raquel Tendero, et al.
Medical Physics|February 2, 2018
Texture analysis of cardiac cine magnetic resonance imaging to detect nonviable segments in patients with chronic myocardial infarctionAndrés Larroza, María P López-Lereu, José V Monmeneu, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 14, 2015
Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRIAndrés Larroza, David Moratal, Alexandra Paredes-Sánchez, et al.
Diagnostics (Basel, Switzerland)|August 26, 2022
Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based ApproachAndrés Larroza, Francisco Javier Pérez-Benito, Juan-Carlos Perez-Cortes, et al.
Computer Methods and Programs in Biomedicine|May 20, 2022
A deep learning framework to classify breast density with noisy labels regularizationHector Lopez-Almazan, Francisco Javier Pérez-Benito, Andrés Larroza, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
European Radiology|May 16, 2018
Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility studyRafael Ortiz-Ramón, Andrés Larroza, Silvia Ruiz-España, et al.
Magma (New York, N.Y.)|September 24, 2017
2D and 3D texture analysis to differentiate brain metastases on MR images: proceed with cautionMonika Béresová, Andrés Larroza, Estanislao Arana, et al.
European Journal of Radiology|June 19, 2017
Differentiation between acute and chronic myocardial infarction by means of texture analysis of late gadolinium enhancement and cine cardiac magnetic resonance imagingAndrés Larroza, Andrzej Materka, María P López-Lereu, et al.
European Radiology|September 11, 2025
Breast cancer risk assessment for screening: a hybrid artificial intelligence approachRaquel Tendero, Andrés Larroza, Francisco Javier Pérez-Benito, et al.
Diagnostics (Basel, Switzerland)|May 24, 2024
Breast Delineation in Full-Field Digital Mammography Using the Segment Anything ModelAndrés Larroza, Francisco Javier Pérez-Benito, Raquel Tendero, et al.
Medical Physics|February 2, 2018
Texture analysis of cardiac cine magnetic resonance imaging to detect nonviable segments in patients with chronic myocardial infarctionAndrés Larroza, María P López-Lereu, José V Monmeneu, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 14, 2015
Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRIAndrés Larroza, David Moratal, Alexandra Paredes-Sánchez, et al.
Diagnostics (Basel, Switzerland)|August 26, 2022
Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based ApproachAndrés Larroza, Francisco Javier Pérez-Benito, Juan-Carlos Perez-Cortes, et al.
Computer Methods and Programs in Biomedicine|May 20, 2022
A deep learning framework to classify breast density with noisy labels regularizationHector Lopez-Almazan, Francisco Javier Pérez-Benito, Andrés Larroza, et al.
Pageof 1