Zobrazeno 1 - 10
of 529
pro vyhledávání: '"Sechopoulos, Ioannis"'
Autor:
Abadi, Ehsan, Badano, Aldo, Bakic, Predrag, Bliznakova, Kristina, Bosmans, Hilde, Carton, Ann-Katherine, Frangi, Alejandro, Glick, Stephen, Kinahan, Paul, Lo, Joseph, Maidment, Andrew, Ria, Francesco, Samei, Ehsan, Sechopoulos, Ioannis, Segars, Paul, Tanaka, Rie, Vancoillie, Liesbeth
This submission comprises the proceedings of the 1st Virtual Imaging Trials in Medicine conference, organized by Duke University on April 22-24, 2024. The listed authors serve as the program directors for this conference. The VITM conference is a pio
Externí odkaz:
http://arxiv.org/abs/2405.05359
Phantoms are test objects used for initial testing and optimization of medical imaging techniques, but these rarely capture the complex properties of the tissue. Here we introduce super phantoms, that surpass standard phantoms being able to replicate
Externí odkaz:
http://arxiv.org/abs/2308.12692
Autor:
O'Briain, Teaghan, Uribe, Carlos, Yi, Kwang Moo, Teuwen, Jonas, Sechopoulos, Ioannis, Bazalova-Carter, Magdalena
To correct for respiratory motion in PET imaging, an interpretable and unsupervised deep learning technique, FlowNet-PET, was constructed. The network was trained to predict the optical flow between two PET frames from different breathing amplitude r
Externí odkaz:
http://arxiv.org/abs/2205.14147
Publikováno v:
In European Journal of Radiology June 2024 175
Autor:
Sechopoulos, Ioannis
Early detection is one of the most important factors in the survival of patients diagnosed with breast cancer. For this reason the development of improved screening mammography methods is one of primary importance. One problem that is present in stan
Externí odkaz:
http://hdl.handle.net/1853/22589
Publikováno v:
In European Journal of Radiology December 2023 169
Publikováno v:
Proc. CT Meeting (2020) 438-441
Reconstruction of digital breast tomosynthesis is a challenging problem due to the limited angle data available in such systems. Due to memory limitations, deep learning-based methods can help improve these reconstructions, but can not (yet) attain s
Externí odkaz:
http://arxiv.org/abs/2009.01538
Autor:
Teuwen, Jonas, Moriakov, Nikita, Fedon, Christian, Caballo, Marco, Reiser, Ingrid, Bakic, Pedrag, García, Eloy, Diaz, Oliver, Michielsen, Koen, Sechopoulos, Ioannis
The two-dimensional nature of mammography makes estimation of the overall breast density challenging, and estimation of the true patient-specific radiation dose impossible. Digital breast tomosynthesis (DBT), a pseudo-3D technique, is now commonly us
Externí odkaz:
http://arxiv.org/abs/2006.06508
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Akademický článek
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