Marina de Fátima de Sá Rebelo

About Marina de Fátima de Sá Rebelo

Marina de Fátima de Sá Rebelo, With an exceptional h-index of 15 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidade de São Paulo, specializes in the field of Medical Informatics, Biomedical Engineering, Medical Image Processing, Medical Physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR

CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese

De-Identification Challenges in Real-World Portuguese Clinical Texts

Automatic myocardium strain quantification in MR synthetic images with Deep Leaning

Off-the-shelf 3D Lung Segmentation in CT using Generalized Histogram Thresholding

I-CovidVis–A visual analytics tool for interoperable healthcare databases using graphs

Novel chest radiographic biomarkers for COVID-19 using radiomic features associated with diagnostics and outcomes

A general fully automated deep-learning method to detect cardiomegaly in chest x-rays

Marina de Fátima de Sá Rebelo Information

University

Position

Researcher Sao Paulo Heart Institute Medical School

Citations(all)

703

Citations(since 2020)

288

Cited By

525

hIndex(all)

15

hIndex(since 2020)

9

i10Index(all)

21

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Marina de Fátima de Sá Rebelo Skills & Research Interests

Medical Informatics

Biomedical Engineering

Medical Image Processing

Medical Physics

Top articles of Marina de Fátima de Sá Rebelo

Siamese pyramidal deep learning network for strain estimation in 3D cardiac cine-MR

Computerized Medical Imaging and Graphics

2023/9/1

CardioBERTpt: Transformer-based Models for Cardiology Language Representation in Portuguese

2023/6/22

Automatic myocardium strain quantification in MR synthetic images with Deep Leaning

2022/7/11

Off-the-shelf 3D Lung Segmentation in CT using Generalized Histogram Thresholding

2021/6/15

I-CovidVis–A visual analytics tool for interoperable healthcare databases using graphs

2021/6/7

Novel chest radiographic biomarkers for COVID-19 using radiomic features associated with diagnostics and outcomes

Journal of Digital Imaging

2021/4

A general fully automated deep-learning method to detect cardiomegaly in chest x-rays

2021/2/15

Automated radiographic bone suppression with deep convolutional neural networks

2021/2/15

Cardiac motion estimation using pyramid, warping, and cost volume neural network

2021/2/15

Multicenter validation of convolutional neural networks for automated detection of cardiomegaly on chest radiographs

2020/9/15

Fully automated quantification of cardiac indices from cine mri using a combination of convolution neural networks

2020/7/20

Improving the generalization of deep learning methods to segment the left ventricle in short axis MR images

2020/7/20

Multi-view ensemble convolutional neural network to improve classification of pneumonia in low contrast chest x-ray images

2020/7/20

A COVID-19 surveillance platform to monitor risk of infection based on a machine learning model

Journal of Health Informatics

2020

See List of Professors in Marina de Fátima de Sá Rebelo University(Universidade de São Paulo)

Co-Authors

academic-engine