25 documents found, page 1 of 3
A multi-task convolutional neural network for classification and segmentation o...
Oliveira, Bruno; Torres, Helena R; Morais, Pedro; Veloso, Fernando; Baptista, António L.; Fonseca, Jaime C.; Vilaça, João L.Chronic Venous Disorders (CVD) of the lower limbs are one of the most prevalent medical conditions, affecting 35% of adults in Europe and North America. Due to the exponential growth of the aging population and the worsening of CVD with age, it is expected that the healthcare costs and the resources needed for the treatment of CVD will increase in the coming years. The early diagnosis of CVD is fundamental in t...
Study of the compression behavior of functionally graded lattice for customized...
Veloso, Fernando; Miranda, Daniel; Morais, Pedro; Torres, Helena; Oliveira, Bruno; Correia-Pinto, Jorge; Pinho, AntónioDeformational plagiocephaly is a head deformity that occurs in newborns, treated in severe cases with helmets named cranial remodeling orthoses (CRO). Current CROs can fail to adapt to head growth, causing excessive pressure sores and other complications, and may lead to poor clinical results. In this work, we experimentally and numerically study the compressive behavior of a functionally graded lattice that ma...
3D facial landmark localization for cephalometric analysis
Torres, Helena R.; Morais, Pedro André Gonçalves; Fritze, Anne; Oliveira, Bruno; Veloso, Fernando; Rudiger, Mario; Fonseca, Jaime C.; Vilaça, João L.Cephalometric analysis is an important and routine task in the medical field to assess craniofacial development and to diagnose cranial deformities and midline facial abnormalities. The advance of 3D digital techniques potentiated the development of 3D cephalometry, which includes the localization of cephalometric landmarks in the 3D models. However, manual labeling is still applied, being a tedious and time-co...
Anthropometric landmarking for diagnosis of cranial deformities: validation of ...
Torres, Helena Daniela Ribeiro; Morais, Pedro; Fritze, Anne; Burkhardt, Wolfram; Kaufmann, Maxi; Oliveira, Bruno; Veloso, Fernando; Hahn, GabrieleShape analysis of infant’s heads is crucial to diagnose cranial deformities and evaluate head growth. Currently available 3D imaging systems can be used to create 3D head models, promoting the clinical practice for head evaluation. However, manual analysis of 3D shapes is difficult and operator-dependent, causing inaccuracies in the analysis. This study aims to validate an automatic landmark detection method fo...
A Polícia Judiciária e a redução da criminalidade no sistema de Justiça criminal
Veloso, FernandoSubmitted by jualmei@stj.jus.br (jualmei@stj.jus.br) on 2021-08-02T13:12:16Z No. of bitstreams: 2 policia_judiciaria_reducao_veloso.pdf: 675384 bytes, checksum: 4fd1996f3294bfeb4a4b3038ef6c7fc8 (MD5) license.txt: 1239 bytes, checksum: c9b4c351324448672315a00808efb725 (MD5); Approved for entry into archive by betanial@stj.jus.br (betanial@stj.jus.br) on 2021-08-04T19:15:29Z (GMT) No. of bitstreams: 2 policia_jud...
Developing a medical training game for visual assessment of head deformities in...
Torres, Helena R.; Oliveira, Bruno; Morais, Pedro; Fritz, Anne; Veloso, Fernando; Rudiqer, Mario; Fonseca, Jaime C.; Vilaça, João L.Anatomical evaluation of an infant's head shape is an important task in clinical practice to diagnose cranial deformities. In the first stage of diagnosis, the current practice mainly relies on visual head inspection. However, this is a difficult task and subjective between physicians. Thus, medical training is paramount to correctly perform the visual head shape assessment to guarantee a safe diagnosis. The ma...
Anthropometric landmark detection in 3D head surfaces using a deep learning app...
Torres, Helena R.; Morais, Pedro André Gonçalves; Fritze, Anne; Oliveira, Bruno; Veloso, Fernando; Rudiger, Mario; Fonseca, Jaime C.; Vilaça, João L.Landmark labeling in 3D head surfaces is an important and routine task in clinical practice to evaluate head shape, namely to analyze cranial deformities or growth evolution. However, manual labeling is still applied, being a tedious and time-consuming task, highly prone to intra-/inter-observer variability, and can mislead the diagnose. Thus, automatic methods for anthropometric landmark detection in 3D models...
Indicadores estaduais de produtividade do trabalho no Brasil
Veloso, Fernando; Matos, Silvia Maria; Peruchetti, PauloCom o fim do bônus demográfico, a única forma de aumentar a renda per capita do Brasil nas próximas décadas será por meio da elevação da produtividade do trabalhador. Por isso, discussões sobre o tema da produtividade ganham cada vez mais importância no meio acadêmico e entre os formuladores de política econômica.
Deep Learning-based Detection of Anthropometric Landmarks in 3D Infants Head Mo...
Torres, Helena R.; Oliveira, Bruno; Veloso, Fernando; Ruediger, Mario; Burkhardt, Wolfram; Moreira, António; Dias, Nuno; Morais, PedroDeformational plagiocephaly (DP) is a cranial deformity characterized by an asymmetrical distortion of an infant’s skull. The diagnosis and evaluation of DP are performed using cranial asymmetry indexes obtained from cranial measurements, which can be estimated using anthropometric landmarks of the infant’s head. However, manual labeling of these landmarks is a time-consuming and tedious task, being also prone ...
Anthropometric Landmark Detection in 3D Head Surfaces using a Deep Learning App...
Torres, Helena R.; Morais, Pedro; Fitze, Anne; Oliveira, Bruno; Veloso, Fernando; Rudiger, Mario; Fonseca, Jaime C.; Vilaça, João L.Landmark labeling in 3D head surfaces is an important and routine task in clinical practice to evaluate head shape, namely to analyze cranial deformities or growth evolution. However, manual labeling is still applied, being a tedious and time-consuming task, highly prone to intra-/inter-observer variability, and can mislead the diagnose. Thus, automatic methods for anthropometric landmark detection in 3D models...