João Pedrosa

Orcid: 0000-0002-7588-8927

Affiliations:
  • KU Leuven, Department of Cardiovascular Sciences, Belgium


According to our database1, João Pedrosa authored at least 27 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
STERN: Attention-driven Spatial Transformer Network for abnormality detection in chest X-ray images.
Artif. Intell. Medicine, January, 2024

2023
A hybrid approach for tracking borders in echocardiograms.
Signal Image Video Process., March, 2023

DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces.
CoRR, 2023

Automatic Eye-Tracking-Assisted Chest Radiography Pathology Screening.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Automatic Contrast Generation from Contrastless Computed Tomography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

Lesion-Aware Chest Radiography Abnormality Classification with Object Detection Framework.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Semi-supervised Multi-structure Segmentation in Chest X-Ray Imaging.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
A Generalization Study of Automatic Pericardial Segmentation in Computed Tomography Images.
Proceedings of the Wireless Mobile Communication and Healthcare, 2022

Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection.
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

Detection of COVID-19 in Point of Care Lung Ultrasound.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Attention-driven Spatial Transformer Network for Abnormality Detection in Chest X-Ray Images.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

Automatic Label Detection in Chest Radiography Images.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
LNDb challenge on automatic lung cancer patient management.
Medical Image Anal., 2021

A multi-task CNN approach for lung nodule malignancy classification and characterization.
Expert Syst. Appl., 2021

Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multimodal Multi-tasking for Skin Lesion Classification Using Deep Neural Networks.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Chest Radiography Few-Shot Image Synthesis for Automated Pathology Screening Applications.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance.
IEEE J. Biomed. Health Informatics, 2020

Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Multi-dataset Approach for DME Risk Detection in Eye Fundus Images.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

2019
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE Trans. Medical Imaging, 2019

LNDb: A Lung Nodule Database on Computed Tomography.
CoRR, 2019

Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance.
CoRR, 2019

2017
Fast and Fully Automatic Left Ventricular Segmentation and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces.
IEEE Trans. Medical Imaging, 2017

heartBEATS: A hybrid energy approach for real-time B-spline explicit active tracking of surfaces.
Comput. Medical Imaging Graph., 2017

2014
Automatic heart sound segmentation and murmur detection in pediatric phonocardiograms.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014


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