Multi-view ensemble convolutional neural network to improve classification of pneumonia in low contrast chest x-ray images JR Ferreira, DAC Cardenas, RA Moreno, MF de Sá Rebelo, JE Krieger, ... 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 54 | 2020 |
Automatic lumen segmentation in IVOCT images using binary morphological reconstruction MC Moraes, DAC Cardenas, SS Furuie Biomedical engineering online 12, 1-17, 2013 | 46 | 2013 |
Novel chest radiographic biomarkers for COVID-19 using radiomic features associated with diagnostics and outcomes JR Ferreira Junior, DA Cardona Cardenas, RA Moreno, MF de Sa Rebelo, ... Journal of Digital Imaging 34, 297-307, 2021 | 24 | 2021 |
Automatic IOCT lumen segmentation using wavelet and Mathematical Morphology MC Moraes, DAC Cardenas, SS Furuie 2012 Computing in Cardiology, 545-548, 2012 | 12 | 2012 |
Complementary use of priors for pulmonary imaging with electrical impedance and ultrasound computed tomography M Alsaker, DAC Cárdenas, SS Furuie, JL Mueller Journal of computational and applied mathematics 395, 113591, 2021 | 10 | 2021 |
A general fully automated deep-learning method to detect cardiomegaly in chest x-rays JRF Junior, DAC Cardenas, RA Moreno, MF de Sá Rebelo, JE Krieger, ... Medical imaging 2021: computer-aided diagnosis 11597, 537-542, 2021 | 10 | 2021 |
Multicenter validation of convolutional neural networks for automated detection of cardiomegaly on chest radiographs D Cardenas, JF Junior, R Moreno, M Rebelo, J Krieger, M Gutierrez Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), 179-190, 2020 | 7 | 2020 |
The potential role of radiogenomics in precision medicine for COVID-19 JRF Junior, DAC Cardenas Journal of Thoracic Imaging 36 (3), W34, 2021 | 6 | 2021 |
A preclinical simulation study of ultrasoundtomography for pulmonary bedside monitoring JL Mueller, DAC Cárdenas, SS Furuie Proceedings of the Second International Workshop on Medical Ultrasound …, 2021 | 6 | 2021 |
Segmentação do lúmen em imagens de IOCT usando Fuzzy Connectedness e Reconstrução Binária Morfológica DAC Cardenas, MC Moraes, SS Furuie Revista Brasileira de Engenharia Biomédica 29, 32-44, 2013 | 6 | 2013 |
Blood pressure estimation from photoplethysmography by considering intra-and inter-subject variabilities: guidelines for a fair assessment TBDS Costa, FM Dias, DAC Cardenas, MAF De Toledo, DM De Lima, ... Ieee access 11, 57934-57950, 2023 | 5 | 2023 |
Chronic lung lesions in COVID-19 survivors: predictive clinical model CRR Carvalho, RC Chate, MVY Sawamura, ML Garcia, CA Lamas, ... BMJ open 12 (6), e059110, 2022 | 5 | 2022 |
Automatic stent segmentation in IOCT images using combined feature extraction techniques and mathematical morphology MC Moraes, DAC Cardenas, SS Furuie Computing in Cardiology 2013, 1215-1218, 2013 | 5 | 2013 |
A machine learning approach to predict arterial blood pressure from photoplethysmography signal FM Dias, TBS Costa, DAC Cardenas, MAF Toledo, JE Krieger, ... 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 3 | 2022 |
Automated radiographic bone suppression with deep convolutional neural networks DAC Cardenas, JR Ferreira Jr, RA Moreno, MF de Sá Rebelo, JE Krieger, ... Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and …, 2021 | 3 | 2021 |
Improving priors for USTC via transmission tomography: a simulation study DAC Cardenas, SS Furuie World Congress on Medical Physics and Biomedical Engineering 2018: June 3–8 …, 2018 | 3 | 2018 |
Approaches to segment stent area from Intravascular Optical Coherence Tomography VM Gaiarsa, D Cardenas, SS Furuie Research on Biomedical Engineering 33 (01), 011-020, 2017 | 3 | 2017 |
Investigação da reconstrução tomográfica utilizando transdutores distribuídos de ultrassom. DAC Cárdenas | 2 | 2018 |
Machine learning-based diabetes detection using photoplethysmography signal features FAC Oliveira, FM Dias, MAF Toledo, DAC Cardenas, DA Almeida, ... arXiv preprint arXiv:2308.01930, 2023 | 1 | 2023 |
Interpretable deep learning model for cardiomegaly detection with chest X-ray images E Ribeiro, DAC Cardenas, JE Krieger, MA Gutierrez Anais do XXIII Simpósio Brasileiro de Computação Aplicada à Saúde, 340-347, 2023 | 1 | 2023 |