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Jorge Onieva

Showing results (1-10 of 13) with videos related to

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Image Analysis for Moving Organ, Breast, and Thoracic Images : Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada|June 4, 2020
Diffeomorphic Lung Registration Using Deep CNNs and Reinforced LearningJorge Onieva Onieva, Berta Marti-Fuster, María Pedrero de la Puente, et al.
Chest|March 16, 2016
Three-dimensional Printing and 3D Slicer: Powerful Tools in Understanding and Treating Structural Lung DiseaseGeorge Z Cheng, Raul San Jose Estepar, Erik Folch, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 21, 2018
Multiorgan structures detection using deep convolutional neural networksJorge Onieva Onieva, Germán González Serrano, Thomas P Young, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 3, 2020
An open-source framework for pulmonary fissure completeness assessmentJames C Ross, Pietro Nardelli, Jorge Onieva, et al.
American Journal of Respiratory and Critical Care Medicine|September 12, 2017
Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed TomographyGermán González, Samuel Y Ash, Gonzalo Vegas-Sánchez-Ferrero, et al.
Image Analysis for Moving Organ, Breast, and Thoracic Images : Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada|June 5, 2020
3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data AugmentationKaren López-Linares Román, Isaac de La Bruere, Jorge Onieva, et al.
Nature Medicine|January 12, 2021
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approachWilliam Lotter, Abdul Rahman Diab, Bryan Haslam, et al.
Academic Radiology|December 20, 2016
The Objective Identification and Quantification of Interstitial Lung Abnormalities in SmokersSamuel Y Ash, Rola Harmouche, James C Ross, et al.
Chest|May 17, 2017
Clinical and Genetic Associations of Objectively Identified Interstitial Changes in SmokersSamuel Y Ash, Rola Harmouche, Rachel K Putman, et al.
Journal of Thoracic Disease|August 23, 2021
A simple assessment of lung nodule location for reduction in unnecessary invasive proceduresC Matthew Kinsey, Ehab Billatos, Vitor Mori, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Image Analysis for Moving Organ, Breast, and Thoracic Images : Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada|June 4, 2020
Diffeomorphic Lung Registration Using Deep CNNs and Reinforced LearningJorge Onieva Onieva, Berta Marti-Fuster, María Pedrero de la Puente, et al.
Chest|March 16, 2016
Three-dimensional Printing and 3D Slicer: Powerful Tools in Understanding and Treating Structural Lung DiseaseGeorge Z Cheng, Raul San Jose Estepar, Erik Folch, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 21, 2018
Multiorgan structures detection using deep convolutional neural networksJorge Onieva Onieva, Germán González Serrano, Thomas P Young, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 3, 2020
An open-source framework for pulmonary fissure completeness assessmentJames C Ross, Pietro Nardelli, Jorge Onieva, et al.
American Journal of Respiratory and Critical Care Medicine|September 12, 2017
Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed TomographyGermán González, Samuel Y Ash, Gonzalo Vegas-Sánchez-Ferrero, et al.
Image Analysis for Moving Organ, Breast, and Thoracic Images : Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada|June 5, 2020
3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data AugmentationKaren López-Linares Román, Isaac de La Bruere, Jorge Onieva, et al.
Nature Medicine|January 12, 2021
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approachWilliam Lotter, Abdul Rahman Diab, Bryan Haslam, et al.
Academic Radiology|December 20, 2016
The Objective Identification and Quantification of Interstitial Lung Abnormalities in SmokersSamuel Y Ash, Rola Harmouche, James C Ross, et al.
Chest|May 17, 2017
Clinical and Genetic Associations of Objectively Identified Interstitial Changes in SmokersSamuel Y Ash, Rola Harmouche, Rachel K Putman, et al.
Journal of Thoracic Disease|August 23, 2021
A simple assessment of lung nodule location for reduction in unnecessary invasive proceduresC Matthew Kinsey, Ehab Billatos, Vitor Mori, et al.
Pageof 2