Carlos Ferreira

Orcid: 0000-0001-9546-4227

Affiliations:
  • University of Porto, Faculty of Engineering (FEUP), Porto, Portugal (PhD)


According to our database1, Carlos Ferreira authored at least 17 papers between 2018 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders.
Proceedings of the HCI International 2025 - Late Breaking Papers, 2025

2024
Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging.
Biomed. Signal Process. Control., 2024

Automated Visceral and Subcutaneous Fat Segmentation in Computed Tomography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Ovarian Structures Detection using Convolutional Neural Networks.
Proceedings of the CENTERIS 2021 - International Conference on ENTERprise Information Systems / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021, 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

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

2018
Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Convolutional Neural Network Architectures for Texture Classification of Pulmonary Nodules.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018


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