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Pedro Costa 0005
Person information
- affiliation: Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC), Porto, Portugal
Other persons with the same name
- Pedro Costa — disambiguation page
- Pedro Costa 0001 (aka: Pedro Luís Costa, Pedro Luís Cerqueira Gomess da Costa) — University of Porto, Department of Electrical Engineering and Computers, Portugal
- Pedro Costa 0002 — Polytechnic Institute of Coimbra, CISUC/ISCAC, Portugal
- Pedro Costa 0003 (aka: Pedro Fernando Costa Simões) — University of Coimbra, Department of Physics, Portugal (and 1 more)
- Pedro Costa 0004 (aka: Pedro Alves Costa) — University of Porto, DCC-FC & LIACC, Portugal
- Pedro Costa 0006 — KTH, Department of Mechanics, Stockholm, Sweden (and 1 more)
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2020 – today
- 2023
- [j6]Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio Campilho:
ExplainFix: Explainable spatially fixed deep networks. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - [j5]Alex Gaudio, Asim Smailagic, Christos Faloutsos, Shreshta Mohan, Elvin Johnson, Yuhao Liu, Pedro Costa, Aurélio Campilho:
DeepFixCX: Explainable privacy-preserving image compression for medical image analysis. WIREs Data. Mining. Knowl. Discov. 13(4) (2023) - [i10]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:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i9]Alex Gaudio, Christos Faloutsos, Asim Smailagic, Pedro Costa, Aurélio J. C. Campilho:
ExplainFix: Explainable Spatially Fixed Deep Networks. CoRR abs/2303.10408 (2023) - 2022
- [c20]Pedro Costa, Alex Gaudio, Aurélio Campilho, Jaime S. Cardoso:
Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation. MIDL 2022: 250-260 - [i8]Pedro Costa, Yongpan Fu, João Nunes, Aurélio Campilho, Jaime S. Cardoso:
Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector. CoRR abs/2203.01321 (2022) - 2021
- [c19]Pedro Costa, Aurélio Campilho, Jaime S. Cardoso:
A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images. CIARP 2021: 55-64 - 2020
- [j4]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:
O-MedAL: Online active deep learning for medical image analysis. WIREs Data Mining Knowl. Discov. 10(4) (2020) - [c18]Filipe Marques, Filipa Castro, Manuel Parente, Pedro Costa:
A Hybrid Framework for Uncertainty-Aware Depth Prediction in the Underwater Environment. ICARSC 2020: 102-107 - [i7]Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho:
Learned Pre-Processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. CoRR abs/2007.13838 (2020) - [i6]Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu:
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning. CoRR abs/2007.13854 (2020)
2010 – 2019
- 2019
- [c17]Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu:
Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning. ICIAR (2) 2019: 333-344 - [c16]Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho:
Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images. ICIAR (2) 2019: 362-368 - [c15]Adrian Galdran, Pedro Costa, Aurélio Campilho:
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. ISBI 2019: 87-90 - [c14]Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Uncertainty-Aware Artery/Vein Classification on Retinal Images. ISBI 2019: 556-560 - [c13]Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho:
Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth. ISBI 2019: 1202-1206 - [c12]Pedro Costa, Teresa Araújo, Guilherme Aresta, Adrian Galdran, Ana Maria Mendonça, Asim Smailagic, Aurélio Campilho:
EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection. MVA 2019: 1-6 - [i5]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:
O-MedAL: Online Active Deep Learning for Medical Image Analysis. CoRR abs/1908.10508 (2019) - 2018
- [j3]Pedro Costa, Adrian Galdran, Asim Smailagic, Aurélio J. C. Campilho:
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images. IEEE Access 6: 18747-18758 (2018) - [j2]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Meindert Niemeijer, Michael Abramoff, Ana Maria Mendonça, Aurélio J. C. Campilho:
End-to-End Adversarial Retinal Image Synthesis. IEEE Trans. Medical Imaging 37(3): 781-791 (2018) - [c11]Maria Inês Meyer, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Deep Convolutional Artery/Vein Classification of Retinal Vessels. ICIAR 2018: 622-630 - [c10]Carlos A. Ferreira, Tânia Melo, Patrick Sousa, Maria Inês Meyer, Elham Shakibapour, Pedro Costa, Aurélio Campilho:
Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2. ICIAR 2018: 763-770 - [c9]Adrian Galdran, Pedro Costa, Javier Vazquez-Corral, Aurélio Campilho:
Weakly Supervised Fog Detection. ICIP 2018: 2875-2879 - [c8]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:
MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis. ICMLA 2018: 481-488 - [c7]Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho:
A No-Reference Quality Metric for Retinal Vessel Tree Segmentation. MICCAI (1) 2018: 82-90 - [c6]Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
UOLO - Automatic Object Detection and Segmentation in Biomedical Images. DLMIA/ML-CDS@MICCAI 2018: 165-173 - [i4]Asim Smailagic, Hae Young Noh, Pedro Costa, Devesh Walawalkar, Kartik Khandelwal, Mostafa Mirshekari, Jonathon Fagert, Adrian Galdran, Susu Xu:
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis. CoRR abs/1809.09287 (2018) - [i3]Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
UOLO - automatic object detection and segmentation in biomedical images. CoRR abs/1810.05729 (2018) - 2017
- [j1]Pedro Costa, Aurélio Campilho:
Convolutional bag of words for diabetic retinopathy detection from eye fundus images. IPSJ Trans. Comput. Vis. Appl. 9: 10 (2017) - [c5]Maria Inês Meyer, Pedro Costa, Adrian Galdran, Ana Maria Mendonça, Aurélio Campilho:
A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images. ICIAR 2017: 507-515 - [c4]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Ana Maria Mendonça, Aurélio Campilho:
Adversarial Synthesis of Retinal Images from Vessel Trees. ICIAR 2017: 516-523 - [c3]Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran:
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA 2017: 323-330 - [c2]Pedro Costa, Aurélio J. C. Campilho:
Convolutional bag of words for diabetic retinopathy detection from eye fundus images. MVA 2017: 165-168 - [i2]Pedro Costa, Adrian Galdran, Maria Inês Meyer, Michael David Abràmoff, Meindert Niemeijer, Ana Maria Mendonça, Aurélio Campilho:
Towards Adversarial Retinal Image Synthesis. CoRR abs/1701.08974 (2017) - [i1]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:
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis. CoRR abs/1703.03702 (2017) - 2014
- [c1]Pedro Costa, Ana C. R. Paiva, Miguel Nabuco:
Pattern Based GUI Testing for Mobile Applications. QUATIC 2014: 66-74
Coauthor Index
aka: Aurélio Campilho
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