Pedro Costa

35 papers B 1C 3Misc 3Journal 15Unranked 13
YearRankTypeTitle / Venue / Authors
2023 J jnl
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR
Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023 J jnl
ExplainFix: Explainable Spatially Fixed Deep Networks.
CoRR
Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio J. C. Campilho
2023 J jnl
ExplainFix: Explainable spatially fixed deep networks.
WIREs Data. Mining. Knowl. Discov.
Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio Campilho
2022 J jnl
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector.
CoRR
Pedro Costa, Yongpan Fu, João Nunes, Aurélio Campilho, Jaime S. Cardoso
2022 — conf
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation.
MIDL
Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso
2021 C conf
A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images.
CIARP
Pedro Costa, Aurélio Campilho, Jaime S. Cardoso
2020 — conf
A Hybrid Framework for Uncertainty-Aware Depth Prediction in the Underwater Environment.
ICARSC
Filipe Marques, Filipa Castro, Manuel Parente, Pedro Costa
2020 J jnl
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning.
CoRR
Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu
2020 J jnl
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images.
CoRR
Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho
2020 J jnl
O-MedAL: Online active deep learning for medical image analysis.
WIREs Data Mining Knowl. Discov.
Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh
2019 Misc conf
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection.
MVA
Pedro Costa, Teresa Araújo, Guilherme Aresta, Adrian Galdran, Ana Maria Mendonça, Asim Smailagic, Aurélio Campilho
2019 — conf
Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning.
ICIAR (2)
Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu
2019 — conf
Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images.
ICIAR (2)
Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho
2019 — conf
Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth.
ISBI
Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho
2019 J jnl
O-MedAL: Online Active Deep Learning for Medical Image Analysis.
CoRR
Asim Smailagic, Pedro Costa, Alex Gaudio, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Devesh Walawalkar, Susu Xu, Adrian Galdran, Pei Zhang, Aurélio Campilho, Hae Young Noh
2019 — conf
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks.
ISBI
Adrian Galdran, Pedro Costa, Aurélio Campilho
2019 — conf
Uncertainty-Aware Artery/Vein Classification on Retinal Images.
ISBI
Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
2018 — conf
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation.
MICCAI (1)
Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho
2018 J jnl
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images.
IEEE Access
Pedro Costa, Adrian Galdran, Asim Smailagic, Aurélio J. C. Campilho
2018 — conf
Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2.
ICIAR
Carlos A. Ferreira, Tânia Melo, Patrick Sousa, Maria Inês Meyer, Elham Shakibapour, Pedro Costa, Aurélio Campilho
2018 — conf
Deep Convolutional Artery/Vein Classification of Retinal Vessels.
ICIAR
Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
2018 J jnl
End-to-End Adversarial Retinal Image Synthesis.
IEEE Trans. Medical Imaging
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Meindert Niemeijer, Michael Abramoff, Ana Maria Mendonça, Aurélio J. C. Campilho
2018 C conf
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis.
ICMLA
Asim Smailagic, Pedro Costa, Hae Young Noh, Devesh Walawalkar, Kartik Khandelwal, Adrian Galdran, Mostafa Mirshekari, Jonathon Fagert, Susu Xu, Pei Zhang, Aurélio J. C. Campilho
2018 J jnl
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis.
CoRR
Asim Smailagic, Hae Young Noh, Pedro Costa, Devesh Walawalkar, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Adrian Galdran, Susu Xu
2018 — conf
UOLO - Automatic Object Detection and Segmentation in Biomedical Images.
DLMIA/ML-CDS@MICCAI
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
2018 J jnl
UOLO - automatic object detection and segmentation in biomedical images.
CoRR
Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
2018 B conf
Weakly Supervised Fog Detection.
ICIP
Adrian Galdran, Pedro Costa, Javier Vazquez-Corral, Aurélio Campilho
2017 — conf
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images.
ICIAR
Maria Inês Meyer, Pedro Costa, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho
2017 — conf
Adversarial Synthesis of Retinal Images from Vessel Trees.
ICIAR
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, Aurélio Campilho
2017 Misc conf
Convolutional bag of words for diabetic retinopathy detection from eye fundus images.
MVA
Pedro Costa, Aurélio J. C. Campilho
2017 J jnl
Convolutional bag of words for diabetic retinopathy detection from eye fundus images.
IPSJ Trans. Comput. Vis. Appl.
Pedro Costa, Aurélio Campilho
2017 J jnl
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis.
CoRR
Adrian Galdran, Aitor Alvarez-Gila, Maria Inês Meyer, Cristina López Saratxaga, Teresa Araujo, Estíbaliz Garrote, Guilherme Aresta, Pedro Costa, Ana Maria Mendonça, Aurélio J. C. Campilho
2017 C conf
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment.
ICMLA
Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran
2017 J jnl
Towards Adversarial Retinal Image Synthesis.
CoRR
Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho
2014 Misc conf
Pattern Based GUI Testing for Mobile Applications.
QUATIC
Pedro Costa, Ana C. R. Paiva, Miguel Nabuco