[1]
|
Soft Computing and Signal Processing
Lecture Notes in Networks and Systems,
2024
DOI:10.1007/978-981-99-8451-0_2
|
|
|
[2]
|
Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout
Physics in Medicine & Biology,
2023
DOI:10.1088/1361-6560/acd221
|
|
|
[3]
|
Postural evaluation based on body movement and mapping sensors
Measurement,
2022
DOI:10.1016/j.measurement.2021.110538
|
|
|
[4]
|
COVID-view: Diagnosis of COVID-19 using Chest CT
IEEE Transactions on Visualization and Computer Graphics,
2022
DOI:10.1109/TVCG.2021.3114851
|
|
|
[5]
|
Postural evaluation based on body movement and mapping sensors
Measurement,
2022
DOI:10.1016/j.measurement.2021.110538
|
|
|
[6]
|
A Novel Lesion Segmentation Algorithm based on U-Net Network for Tuberculosis CT Image
2021 International Conference on Control, Automation and Information Sciences (ICCAIS),
2021
DOI:10.1109/ICCAIS52680.2021.9624633
|
|
|
[7]
|
Machine learning to predict lung nodule biopsy method using CT image features: A pilot study
Computerized Medical Imaging and Graphics,
2019
DOI:10.1016/j.compmedimag.2018.10.006
|
|
|
[8]
|
A new effective and powerful medical image segmentation algorithm based on optimum path snakes
Applied Soft Computing,
2019
DOI:10.1016/j.asoc.2018.10.057
|
|
|
[9]
|
XXVI Brazilian Congress on Biomedical Engineering
IFMBE Proceedings,
2019
DOI:10.1007/978-981-13-2517-5_12
|
|
|
[10]
|
Automated recognition of lung diseases in CT images based on the optimum-path forest classifier
Neural Computing and Applications,
2017
DOI:10.1007/s00521-017-3048-y
|
|
|
[11]
|
A new approach to calculate the nodule density of ductile cast iron graphite using a Level Set
Measurement,
2016
DOI:10.1016/j.measurement.2016.04.029
|
|
|
[12]
|
Desenvolvimento de um Software para cálculo da densidade de nódulos de grafita em ferro fundido nodular através de Processamento Digital de Imagens
Matéria (Rio de Janeiro),
2015
DOI:10.1590/S1517-707620150001.0026
|
|
|
[13]
|
Intensity-based statistical features for classification of lungs CT scan nodules using artificial intelligence techniques
Journal of Experimental & Theoretical Artificial Intelligence,
2015
DOI:10.1080/0952813X.2015.1020526
|
|
|
[14]
|
Lung disease detection using feature extraction and extreme learning machine
Revista Brasileira de Engenharia Biomédica,
2014
DOI:10.1590/rbeb.2014.019
|
|
|