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Jorge Onieva Onieva

Showing results (1-10 of 8) 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.
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.
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.
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.
Chest|May 17, 2017
Clinical and Genetic Associations of Objectively Identified Interstitial Changes in SmokersSamuel Y Ash, Rola Harmouche, Rachel K Putman, et al.
American Journal of Respiratory and Critical Care Medicine|January 26, 2018
Respiratory Symptoms in Young Adults and Future Lung Disease. The CARDIA Lung StudyRavi Kalhan, Mark T Dransfield, Laura A Colangelo, et al.
Respiratory Research|March 8, 2017
Densitometric and local histogram based analysis of computed tomography images in patients with idiopathic pulmonary fibrosisSamuel Y Ash, Rola Harmouche, Diego Lassala Lopez Vallejo, et al.
Radiology|June 6, 2018
Interstitial Features at Chest CT Enhance the Deleterious Effects of Emphysema in the COPDGene CohortSamuel Y Ash, Rola Harmouche, James C Ross, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
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.
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.
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.
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.
Chest|May 17, 2017
Clinical and Genetic Associations of Objectively Identified Interstitial Changes in SmokersSamuel Y Ash, Rola Harmouche, Rachel K Putman, et al.
American Journal of Respiratory and Critical Care Medicine|January 26, 2018
Respiratory Symptoms in Young Adults and Future Lung Disease. The CARDIA Lung StudyRavi Kalhan, Mark T Dransfield, Laura A Colangelo, et al.
Respiratory Research|March 8, 2017
Densitometric and local histogram based analysis of computed tomography images in patients with idiopathic pulmonary fibrosisSamuel Y Ash, Rola Harmouche, Diego Lassala Lopez Vallejo, et al.
Radiology|June 6, 2018
Interstitial Features at Chest CT Enhance the Deleterious Effects of Emphysema in the COPDGene CohortSamuel Y Ash, Rola Harmouche, James C Ross, et al.
Pageof 1