Pattern Based GUI Testing for Mobile Applications. - Pedro Costa 005; Ana C. R. Paiva; Miguel Nabuco (QUATIC, 2014)

Adversarial Synthesis of Retinal Images from Vessel Trees. - Pedro Costa 005; Adrian Galdran; Maria Inês Meyer; Ana Maria Mendonça; Aurélio Campilho (ICIAR, 2017)

A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images. - Maria Inês Meyer; Pedro Costa 005; Adrian Galdran; Ana Maria Mendonça; Aurélio Campilho (ICIAR, 2017)

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. - Pedro Costa 005; Aurélio J. C. Campilho; Bryan Hooi; Asim Smailagic; Kris Kitani; Shenghua Liu; Christos Faloutsos; Adrian Galdran (ICMLA, 2017)

Towards Adversarial Retinal Image Synthesis. - Pedro Costa 005; Adrian Galdran; Maria Inês Meyer; Michael David Abràmoff; Meindert Niemeijer; Ana Maria Mendonça; Aurélio Campilho (CoRR, 2017)

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. - Adrian Galdran; Aitor Alvarez-Gila; Maria Inês Meyer; Cristina López Saratxaga; Teresa Araujo; Estíbaliz Garrote; Guilherme Aresta; Pedro Costa 005; Ana Maria Mendonça; Aurélio J. C. Campilho (CoRR, 2017)

Convolutional bag of words for diabetic retinopathy detection from eye fundus images. - Pedro Costa 005; Aurélio Campilho (IPSJ Trans. Comput. Vis. Appl., 2017)

Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2. - Carlos A. Ferreira; Tânia Melo; Patrick Sousa; Maria Inês Meyer; Elham Shakibapour; Pedro Costa 005; Aurélio Campilho (ICIAR, 2018)

Deep Convolutional Artery/Vein Classification of Retinal Vessels. - Maria Inês Meyer; Adrian Galdran; Pedro Costa 005; Ana Maria Mendonça; Aurélio Campilho (ICIAR, 2018)

Weakly Supervised Fog Detection. - Adrian Galdran; Pedro Costa 005; Javier Vazquez-Corral; Aurélio Campilho (ICIP, 2018)

MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. - Asim Smailagic; Pedro Costa 005; Hae Young Noh; Devesh Walawalkar; Kartik Khandelwal; Adrian Galdran; Mostafa Mirshekari; Jonathon Fagert; Susu Xu; Pei Zhang 001; Aurélio J. C. Campilho (ICMLA, 2018)

UOLO - Automatic Object Detection and Segmentation in Biomedical Images. - Teresa Araújo; Guilherme Aresta; Adrian Galdran; Pedro Costa 005; Ana Maria Mendonça; Aurélio Campilho (DLMIA/ML-CDS@MICCAI, 2018)

A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. - Adrian Galdran; Pedro Costa 005; Alessandro Bria; Teresa Araújo; Ana Maria Mendonça; Aurélio Campilho (MICCAI (1), 2018)

A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images. - Pedro Costa 005; Adrian Galdran; Asim Smailagic; Aurélio J. C. Campilho (IEEE Access, 2018)

MedAL: Deep Active Learning Sampling Method for Medical Image Analysis. - Asim Smailagic; Hae Young Noh; Pedro Costa 005; Devesh Walawalkar; Kartik Khandelwal; Mostafa Mirshekari; Jonathon Fagert; Adrian Galdran; Susu Xu (CoRR, 2018)

End-to-End Adversarial Retinal Image Synthesis. - Pedro Costa 005; Adrian Galdran; Maria Inês Meyer; Meindert Niemeijer; Michael Abramoff; Ana Maria Mendonça; Aurélio J. C. Campilho (IEEE Trans. Medical Imaging, 2018)

Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. - Asim Smailagic; Anupma Sharan; Pedro Costa 005; Adrian Galdran; Alex Gaudio; Aurélio Campilho (ICIAR (2), 2019)

Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning. - Qiqi Xiao; Jiaxu Zou; Muqiao Yang; Alex Gaudio; Kris Kitani; Asim Smailagic; Pedro Costa 005; Min Xu 009 (ICIAR (2), 2019)

Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. - Adrian Galdran; Pedro Costa 005; Aurélio Campilho (ISBI, 2019)

Uncertainty-Aware Artery/Vein Classification on Retinal Images. - Adrian Galdran; Maria Inês Meyer; Pedro Costa 005; Ana Maria Mendonça; Aurélio Campilho (ISBI, 2019)

Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth. - Patrick Sousa; Adrian Galdran; Pedro Costa 005; Aurélio Campilho (ISBI, 2019)

EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection. - Pedro Costa 005; Teresa Araújo; Guilherme Aresta; Adrian Galdran; Ana Maria Mendonça; Asim Smailagic; Aurélio Campilho (MVA, 2019)

A Hybrid Framework for Uncertainty-Aware Depth Prediction in the Underwater Environment. - Filipe Marques; Filipa Castro; Manuel Parente; Pedro Costa 005 (ICARSC, 2020)

O-MedAL: Online active deep learning for medical image analysis. - Asim Smailagic; Pedro Costa 005; Alex Gaudio; Kartik Khandelwal; Mostafa Mirshekari; Jonathon Fagert; Devesh Walawalkar; Susu Xu; Adrian Galdran; Pei Zhang 001; Aurélio Campilho; Hae Young Noh (WIREs Data Mining Knowl. Discov., 2020)

A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images. - Pedro Costa 005; Aurélio Campilho; Jaime S. Cardoso 001 (CIARP, 2021)

Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation. - Pedro Costa 005; Alex Gaudio; Aurélio Campilho; Jaime S. Cardoso 001 (MIDL, 2022)

Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector. - Pedro Costa 005; Yongpan Fu; João Nunes; Aurélio Campilho; Jaime S. Cardoso 001 (CoRR, 2022)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

ExplainFix: Explainable spatially fixed deep networks. - Alex Gaudio; Christos Faloutsos; Asim Smailagic; Pedro Costa 005; Aurélio Campilho (WIREs Data. Mining. Knowl. Discov., 2023)

DeepFixCX: Explainable privacy-preserving image compression for medical image analysis. - Alex Gaudio; Asim Smailagic; Christos Faloutsos; Shreshta Mohan; Elvin Johnson; Yuhao Liu; Pedro Costa 005; Aurélio Campilho (WIREs Data. Mining. Knowl. Discov., 2023)