Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Pedro Morais

Showing results (51-60 of 102) with videos related to

Pageof 11
Sort By:
Medical Image Analysis|July 22, 2014
Fast automatic myocardial segmentation in 4D cine CMR datasetsSandro Queirós, Daniel Barbosa, Brecht Heyde, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound ImagesMargarida R Ferreira, Helena R Torres, Bruno Oliveira, et al.
Medical Image Analysis|August 7, 2017
A competitive strategy for atrial and aortic tract segmentation based on deformable modelsPedro Morais, João L Vilaça, Sandro Queirós, et al.
Scientific Reports|January 14, 2023
A multi-task convolutional neural network for classification and segmentation of chronic venous disordersBruno Oliveira, Helena R Torres, Pedro Morais, et al.
Medical Image Analysis|February 13, 2018
A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from computed tomographyBruno Oliveira, Sandro Queirós, Pedro Morais, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Deep learning methods for lesion detection on mammography images: a comparative analysisRaul Ferrete Ribeiro, Joao Gomes-Fonseca, Helena R Torres, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 15, 2019
Semiautomatic Estimation of Device Size for Left Atrial Appendage Occlusion in 3-D TEE ImagesPedro Morais, Joao L Vilaca, Sandro Queiros, et al.
IEEE Journal of Biomedical and Health Informatics|August 7, 2024
Deep-DM: Deep-Driven Deformable Model for 3D Image Segmentation Using Limited DataHelena R Torres, Bruno Oliveira, Anne Fritze, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Deep learning networks in the segmentation of the left atrial appendage in 2D ultrasound: A comparative analysisRafael Fernandes, Helena R Torres, Bruno Oliveira, et al.
IEEE Journal of Biomedical and Health Informatics|November 4, 2020
Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning ApproachHelena R Torres, Pedro Morais, Anne Fritze, et al.
Pageof 11

Showing results (51-60 of 102) with videos related to

Sort By:
Pageof 11
Medical Image Analysis|July 22, 2014
Fast automatic myocardial segmentation in 4D cine CMR datasetsSandro Queirós, Daniel Barbosa, Brecht Heyde, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound ImagesMargarida R Ferreira, Helena R Torres, Bruno Oliveira, et al.
Medical Image Analysis|August 7, 2017
A competitive strategy for atrial and aortic tract segmentation based on deformable modelsPedro Morais, João L Vilaça, Sandro Queirós, et al.
Scientific Reports|January 14, 2023
A multi-task convolutional neural network for classification and segmentation of chronic venous disordersBruno Oliveira, Helena R Torres, Pedro Morais, et al.
Medical Image Analysis|February 13, 2018
A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from computed tomographyBruno Oliveira, Sandro Queirós, Pedro Morais, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Deep learning methods for lesion detection on mammography images: a comparative analysisRaul Ferrete Ribeiro, Joao Gomes-Fonseca, Helena R Torres, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|March 15, 2019
Semiautomatic Estimation of Device Size for Left Atrial Appendage Occlusion in 3-D TEE ImagesPedro Morais, Joao L Vilaca, Sandro Queiros, et al.
IEEE Journal of Biomedical and Health Informatics|August 7, 2024
Deep-DM: Deep-Driven Deformable Model for 3D Image Segmentation Using Limited DataHelena R Torres, Bruno Oliveira, Anne Fritze, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Deep learning networks in the segmentation of the left atrial appendage in 2D ultrasound: A comparative analysisRafael Fernandes, Helena R Torres, Bruno Oliveira, et al.
IEEE Journal of Biomedical and Health Informatics|November 4, 2020
Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning ApproachHelena R Torres, Pedro Morais, Anne Fritze, et al.
Pageof 11