GI-VARPA - Artigos: Envíos recentes
Mostrando ítems 26-30 de 76
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Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
(Sage, 2024-02-01)[Absctract]: Background: The COVID-19 can cause long-term symptoms in the patients after they overcome the disease. Given that this disease mainly damages the respiratory system, these symptoms are often related with ... -
Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography
(Elsevier, 2024-03)[Abstract]: Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality used to evaluate the retinal microvasculature. Recent advances in OCTA allows to visualize the blood flow within the choriocapillaris ... -
Multi-Adaptive Optimization for multi-task learning with deep neural networks
(Elsevier B.V., 2024-02)[Abstract]: Multi-task learning is a promising paradigm to leverage task interrelations during the training of deep neural networks. A key challenge in the training of multi-task networks is to adequately balance the ... -
On Strongly Inflexible Manifolds
(Oxford University Press, 2023-05)[Abstract]: An oriented closed connected -manifold is inflexible if it does not admit self-maps of unbounded degree. In addition, if all the maps from any other oriented closed connected -manifold have bounded degree, then ... -
Generation of synthetic intermediate slices in 3D OCT cubes for improving pathology detection and monitoring
(Elsevier B.V., 2023-09)[Absctract]: OCT is a non-invasive imaging technique commonly used to obtain 3D volumes of the ocular structure. These volumes allow the monitoring of ocular and systemic diseases through the observation of subtle changes ...