Pedro Costa
Orcid: 0000-0002-9528-1292Affiliations:
- Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC), Porto, Portugal
According to our database1,
Pedro Costa
authored at least 30 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
<i>DeepFixCX</i>: Explainable privacy-preserving image compression for medical image analysis.
WIREs Data. Mining. Knowl. Discov., 2023
WIREs Data. Mining. Knowl. Discov., 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
2022
CoRR, 2022
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
2021
A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021
2020
WIREs Data Mining Knowl. Discov., 2020
A Hybrid Framework for Uncertainty-Aware Depth Prediction in the Underwater Environment.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020
2019
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection.
Proceedings of the 16th International Conference on Machine Vision Applications, 2019
Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
2018
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images.
IEEE Access, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 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
2017
Convolutional bag of words for diabetic retinopathy detection from eye fundus images.
IPSJ Trans. Comput. Vis. Appl., 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
2014
Proceedings of the 9th International Conference on the Quality of Information and Communications Technology, 2014