Zobrazeno 1 - 10 of 39 pro vyhledávání: '"Ramon Alfredo, Moreno"'
1
Akademický článek
Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization
Autor: Felipe Meneguitti Dias, Estela Ribeiro, Ramon Alfredo Moreno, Adele Helena Ribeiro, Nelson Samesima, Carlos Alberto Pastore, Jose Eduardo Krieger, Marco Antonio Gutierrez
Publikováno v: IEEE Access, Vol 11, Pp 121739-121752 (2023)
The electrocardiogram (ECG) serves as a valuable diagnostic tool, providing crucial information about life-threatening cardiac conditions such as atrial fibrillation and myocardial infarction. A prompt and efficient assessment of ECG exams in environ
Externí odkaz: https://doaj.org/article/490d72621bdc46d89716504e2b83fbc9
Zobrazit plný text záznamu
2
Akademický článek
Blockchain-Based Architecture Design for Personal Health Record: Development and Usability Study
Autor: Thiago Bulhões da Silva Costa, Lucas Shinoda, Ramon Alfredo Moreno, Jose E Krieger, Marco Gutierrez
Publikováno v: Journal of Medical Internet Research, Vol 24, Iss 4, p e35013 (2022)
BackgroundThe importance of blockchain-based architectures for personal health record (PHR) lies in the fact that they are thought and developed to allow patients to control and at least partly collect their health data. Ideally, these systems should
Externí odkaz: https://doaj.org/article/fdedd746b6c44ae48ae8a9ed84e4728c
Zobrazit plný text záznamu
4
Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes
Autor: Ramon Alfredo Moreno, José Raniery Ferreira Junior, Diego Armando Cardona Cardenas, José Eduardo Krieger, Marina de Sá Rebelo, Marco Antonio Gutierrez
Publikováno v: Journal of Digital Imaging
COVID-19 is a highly contagious disease that can cause severe pneumonia. Patients with pneumonia undergo chest X-rays (XR) to assess infiltrates that identify the infection. However, the radiographic characteristics of COVID-19 are similar to the oth
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b665cc1d8999f7b193047e8316b16d17
https://doi.org/10.1007/s10278-021-00421-w
Zobrazit plný text záznamu
6
Blockchain-Based Architecture Design for Personal Health Record: Development and Usability Study (Preprint)
Autor: Thiago Bulhões da Silva Costa, Lucas Shinoda, Ramon Alfredo Moreno, Jose E Krieger, Marco Gutierrez
BACKGROUND The importance of blockchain-based architectures for personal health record (PHR) lies in the fact that they are thought and developed to allow patients to control and at least partly collect their health data. Ideally, these systems shoul
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::93a823ef9a2c5a8e5ccaeceb09dc3d27
https://doi.org/10.2196/preprints.35013
Zobrazit plný text záznamu
7
Cardiac motion estimation using pyramid, warping, and cost volume neural network
Autor: Ramon Alfredo Moreno, Cesar Higa Nomura, Catharine V. Graves, Marco Antonio Gutierrez, Adriano Bordignom, M.S. Rebelo
Publikováno v: Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging.
Cardiac motion quantification in magnetic resonance (MR) images provides vital information to diagnose and evaluate cardiovascular diseases. Motion quantification can be obtained from routinely acquired MR images. However, the methods available for m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9de37ea4249d7eb81d5da32e1c0a8c70
https://doi.org/10.1117/12.2582180
Zobrazit plný text záznamu
8
A general fully automated deep-learning method to detect cardiomegaly in chest x-rays
Autor: Marco Antonio Gutierrez, Marina de Sá Rebelo, Ramon Alfredo Moreno, Diego Armando Cardona Cardenas, José Raniery Ferreira Junior, José Eduardo Krieger
Publikováno v: Medical Imaging 2021: Computer-Aided Diagnosis.
Cardiomegaly is a medical condition that leads to an increase in cardiac size. It can be manually assessed using the cardiothoracic ratio from chest x-rays (CXRs). However, as that task can be challenging in such limited examinations, we propose the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::06d8f0901924326803e3ff2a0b01c15a
https://doi.org/10.1117/12.2581980
Zobrazit plný text záznamu
9
Automated radiographic bone suppression with deep convolutional neural networks
Autor: Marina de Sá Rebelo, José Eduardo Krieger, Marco Antonio Gutierrez, Diego Armando Cardona Cardenas, Ramon Alfredo Moreno, José Raniery Ferreira
Publikováno v: Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging.
Dual-energy subtraction (DES) is a technique that separates soft tissue from bones in a chest radiograph (CR). As DES requires specialized equipment, we propose an automatic method based on convolutional neural networks (CNNs) to generate virtual sof
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::331ab74e8fff1d5ab6398e93dbb8c534
https://doi.org/10.1117/12.2582210
Zobrazit plný text záznamu
10
Fully Automated Quantification of Cardiac Indices from Cine MRI Using a Combination of Convolution Neural Networks
Autor: José Eduardo Krieger, Renato F. Pereira, Marcelo A. F. Arruda, Marco Antonio Gutierrez, Marina de Sá Rebelo, Anderson G. Marco, Ramon Alfredo Moreno, Daniel Lima
Publikováno v: EMBC
Cardiovascular magnetic resonance imaging (CMRI) is one of the most accurate non-invasive modalities for evaluation of cardiac function, especially the left ventricle (LV). In this modality, the manual or semi-automatic delineation of LV by experts i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92cb3ebd14210ead2135f2a788d34ff6
https://pubmed.ncbi.nlm.nih.gov/33018207
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje