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ORCIDAntónio Cunha
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- affiliation: Universidade de Trás-os-Montes e Alto Douro, Vila Real, Portugal
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2020 – today
- 2024
[j21]Miguel Fontes
, João Dallyson Sousa de Almeida, António Cunha:
Application of Example-Based Explainable Artificial Intelligence (XAI) for Analysis and Interpretation of Medical Imaging: A Systematic Review. IEEE Access 12: 26419-26427 (2024)- [j20]Dalila Barbosa, Marcos Ferreira, Geraldo Braz Junior, Marta Salgado, António Cunha:
Multiple Instance Learning in Medical Images: A Systematic Review. IEEE Access 12: 78409-78422 (2024) - [j19]Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo Cardoso de Paiva, Ishak Paçal, António Cunha:
Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review. IEEE Access 12: 79428-79444 (2024) - [j18]Ishak Paçal, Omer Celik, Bilal Bayram, António Cunha:
Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification. Clust. Comput. 27(8): 11187-11212 (2024) - [j17]Tomás Santos, Hélder P. Oliveira, António Cunha:
Systematic review on weapon detection in surveillance footage through deep learning. Comput. Sci. Rev. 51: 100612 (2024) - [c78]Carlos Antunes, João M. F. Rodrigues, António Cunha:
Web Diagnosis for COVID-19 and Pneumonia Based on Computed Tomography Scans and X-rays. HCI (15) 2024: 203-221 - [c77]Alexandre C. P. Pessoa, Darlan B. P. Quintanilha, João Dallyson Sousa de Almeida, Geraldo Braz Junior, Anselmo Cardoso de Paiva, António Cunha:
A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images. ICEIS (1) 2024: 530-540 - 2023
- [j16]Bruno Magalhães, Alexandre Neto, António Cunha:
Generative Adversarial Networks for Augmenting Endoscopy Image Datasets of Stomach Precancerous Lesions: A Review. IEEE Access 11: 136292-136307 (2023) - [j15]José Mendes, Tânia Pereira, Francisco Silva, Julieta Frade, Joana Morgado, Cláudia Freitas, Eduardo Negrão, Beatriz Flor De Lima, Miguel Correia Da Silva, António J. Madureira, Isabel Ramos, José Luís Costa, Venceslau Hespanhol, António Cunha, Hélder P. Oliveira:
Lung CT image synthesis using GANs. Expert Syst. Appl. 215: 119350 (2023) - [c76]Alexandre Neto, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, António Cunha:
Research Challenges for Augmenting Endoscopy Image Datasets using Image Combination Methodologies. CENTERIS/ProjMAN/HCist 2023: 201-208 - [c75]Solomon Gebru Abay, Filipa Lima, Luc Geurts, José Camara, João Pedrosa, António Cunha:
Quality assessment of Low-cost retinal Videos for Glaucoma screening. CENTERIS/ProjMAN/HCist 2023: 1027-1034 - [c74]Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha:
Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist 2023: 1653-1661 - [c73]Igor Teixeira, Joaquim João Sousa, António Cunha:
Automatic classification of abandonment in Douro's vineyard parcels. CENTERIS/ProjMAN/HCist 2023: 2038-2047 - [c72]Diogo Couto, Steffan Davies, Joaquim João Sousa, António Cunha:
Phase Unwrapping using ML methods. CENTERIS/ProjMAN/HCist 2023: 2048-2055 - [c71]Herbert Laroca Pinto, Vítor Rocio, António Cunha:
Does Fake News have Feelings? CENTERIS/ProjMAN/HCist 2023: 2056-2064 - [c70]Rodrigo Fernandes, Alexandre Pessoa, José Nogueira, Anselmo Cardoso de Paiva, Ishak Paçal, Marta Salgado, António Cunha:
Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images. CENTERIS/ProjMAN/HCist 2023: 2065-2073 - [c69]Gabriel A. Carneiro, Ana Cláudia Teixeira, Raul Morais, Joaquim João Sousa, António Cunha:
Can the Segmentation Improve the Grape Varieties' Identification Through Images Acquired On-Field? EPIA (2) 2023: 351-363 - [c68]Ana Cláudia Teixeira, Gabriel A. Carneiro, Raul Morais, Joaquim João Sousa, António Cunha:
Segmentation as a Pre-processing for Automatic Grape Moths Detection. EPIA (2) 2023: 388-398 - [c67]Gabriel A. Carneiro, Ana Cláudia Teixeira, António Cunha, Joaquim João Sousa:
Transfer-Learning On Land Use And Land Cover Classification. IGARSS 2023: 2918-2921 - [c66]Ana Cláudia Teixeira, Gabriel A. Carneiro, Raul Morais, Joaquim João Sousa, António Cunha:
Evaluating YOLO Models for Grape Moth Detection in Insect Traps. IGARSS 2023: 3526-3529 - [c65]Gabriel A. Carneiro, Alexandre Neto, Ana Cláudia Teixeira, António Cunha, Joaquim João Sousa:
Evaluating Data Augmentation for Grapevine Varieties Identification. IGARSS 2023: 3566-3569 - [c64]Igor Teixeira, Joaquim João Sousa, António Cunha:
Automatic Detection of Abandoned Vineyards Using Aerial Imagery. IGARSS 2023: 5242-5245 - [c63]Ana Cláudia Teixeira, Gabriel A. Carneiro, Vítor Filipe, António Cunha, Joaquim João Sousa:
Street Light Segmentation in Satellite Images Using Deep Learning. IGARSS 2023: 6862-6865 - [c62]Ana Cláudia Teixeira, Leonor Batista, Gabriel A. Carneiro, António Cunha, Joaquim João Sousa:
Automatic Identification of Public Lighting Failures in Satellite Images: A Case Study in Seville, Spain. IGARSS 2023: 6882-6885 - [c61]Alexandre Neto, Diogo Couto, Miguel T. Coimbra, António Cunha:
Colonoscopic Polyp Detection with Deep Learning Assist. VISIGRAPP (4: VISAPP) 2023: 928-935 - [e1]António Cunha, Nuno M. Garcia, Jorge Marx Gómez, Sandra Pereira:
Wireless Mobile Communication and Healthcare - 11th EAI International Conference, MobiHealth 2022, Virtual Event, November 30 - December 2, 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 484, Springer 2023, ISBN 978-3-031-32028-6 [contents] - [d4]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb Dataset. Zenodo, 2023
- 2022
- [j14]José Camara, Alexandre Neto, Ivan Miguel Pires, María Vanessa Villasana, Eftim Zdravevski, António Cunha:
Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification. J. Imaging 8(2): 19 (2022) - [j13]Julieta Frade, Tânia Pereira, Joana Morgado, Francisco Silva, Cláudia Freitas, José Mendes, Eduardo Negrão, Beatriz Flor De Lima, Miguel Correia Da Silva, António J. Madureira, Isabel Ramos, José Luís Costa, Venceslau Hespanhol, António Cunha, Hélder P. Oliveira:
Multiple instance learning for lung pathophysiological findings detection using CT scans. Medical Biol. Eng. Comput. 60(6): 1569-1584 (2022) - [j12]Alexandre Neto, José Camara, António Cunha:
Evaluations of Deep Learning Approaches for Glaucoma Screening Using Retinal Images from Mobile Device. Sensors 22(4): 1449 (2022) - [j11]José Camara, Bruno Silva, António Jorge Gouveia, Ivan Miguel Pires, Paulo Jorge Simães Coelho, António Cunha:
Detection and Mosaicing Techniques for Low-Quality Retinal Videos. Sensors 22(5): 2059 (2022) - [c60]Nuno Figueiredo, Luís Pádua, António Cunha, Joaquim João Sousa, António M. R. Sousa:
Exploratory approach for automatic detection of vine rows in terrace vineyards. CENTERIS/ProjMAN/HCist 2022: 139-144 - [c59]Ana Cláudia Teixeira, Raul Morais, Joaquim João Sousa, Emanuel Peres, António Cunha:
A deep learning approach for automatic counting of bedbugs and grape moth. CENTERIS/ProjMAN/HCist 2022: 145-152 - [c58]Ana Cláudia Teixeira, Raul Morais, Joaquim João Sousa, Emanuel Peres, António Cunha:
Using deep learning for automatic detection of insects in traps. CENTERIS/ProjMAN/HCist 2022: 153-160 - [c57]Cátia Machado, António Cunha, António Jorge Gouveia:
Migration of a stock management application in the healthcare industry to a Web/Mobile environment: a project report. CENTERIS/ProjMAN/HCist 2022: 184-192 - [c56]Meltem Esengönül, António Cunha:
Glaucoma Detection using Convolutional Neural Networks for Mobile Use. CENTERIS/ProjMAN/HCist 2022: 1153-1160 - [c55]Artur Ferreira, Tânia Pereira, Francisco Silva, Ana T. Vilares, Miguel Correia Da Silva, António Cunha, Hélder P. Oliveira:
Synthesizing 3D Lung CT scans with Generative Adversarial Networks. EMBC 2022: 2033-2036 - [c54]Marco Teixeira, Tânia Pereira, Francisco Silva, António Cunha, Hélder P. Oliveira:
Unsupervised Approach for Malignancy Assessment of Lung Nodules in Computed Tomography Scans Using Radiomic Features. EMBC 2022: 2037-2040 - [c53]Bruno Silva, Joaquim João Sousa, António Cunha:
Detecting Earthquakes in SAR Interferogram with Vision Transformer. IGARSS 2022: 739-742 - [c52]Pedro Aguiar, António Cunha, Matus Bakon, Antonio M. Ruiz-Armenteros, Joaquim João Moreira de Sousa:
PS-InSAR Target Classification Using Deep Learning. IGARSS 2022: 2931-2934 - [c51]Ana Cláudia Teixeira, José Ribeiro, Alexandre Neto, Raul Morais, Joaquim João Moreira de Sousa, António Cunha:
Using Deep Learning for Detection and Classification of Insects on Traps. IGARSS 2022: 5746-5749 - [c50]Nuno Figueiredo, Alexandre Neto, António Cunha, Joaquim João Moreira de Sousa, António M. R. Sousa:
Deep Learning Approach for Terrace Vineyards Detection from Google Earth Satellite Imagery. IGARSS 2022: 5824-5827 - [c49]Gabriel Antonio Carneiro, Luís Pádua, Emanuel Peres, Raul Morais, Joaquim João Moreira de Sousa, António Cunha:
Grapevine Varieties Identification Using Vision Transformers. IGARSS 2022: 5866-5869 - [c48]Gabriel Antonio Carneiro, Luís Pádua, Emanuel Peres, Raul Morais, Joaquim João Moreira de Sousa, António Cunha:
Segmentation as a Preprocessing Tool for Automatic Grapevine Classification. IGARSS 2022: 6053-6056 - [c47]Roberto Flavio Rezende, Ana Coelho, Rodrigo Fernandes, José Camara, Alexandre Neto, António Cunha:
Deep Learning Glaucoma Detection Models in Retinal Images Capture by Mobile Devices. MobiHealth 2022: 3-13 - [c46]Meltem Esengönül, Anselmo Cardoso de Paiva, João M. F. Rodrigues, António Cunha:
Diabetic Retinopathy Detection Using Convolutional Neural Networks for Mobile Use. MobiHealth 2022: 14-23 - [c45]Dibet Garcia Gonzalez, João Carias, Yusbel Chávez Castilla, José Rodrigues, Telmo Adão, Rui Jesus, Luís Gonzaga Mendes Magalhães, Vitor Manuel Leitão de Sousa, Lina Carvalho, Rui Almeida, António Cunha:
Evaluating Rotation Invariant Strategies for Mitosis Detection Through YOLO Algorithms. MobiHealth 2022: 24-33 - [c44]Alexandre Neto, Sofia Ferreira, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, António Cunha:
Preliminary Study of Deep Learning Algorithms for Metaplasia Detection in Upper Gastrointestinal Endoscopy. MobiHealth 2022: 34-50 - [c43]Tales Correia, António Cunha, Paulo Jorge Simães Coelho:
A Review on the Video Summarization and Glaucoma Detection. MobiHealth 2022: 144-156 - [c42]Carlos Santos, António Cunha, Paulo Jorge Simães Coelho:
A Review on Deep Learning-Based Automatic Lipreading. MobiHealth 2022: 180-195 - [d3]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb Dataset. Zenodo, 2022 - [d2]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb Dataset. Zenodo, 2022 - 2021
- [j10]Francisco Silva, Tânia Pereira, Joana Morgado, Julieta Frade, José Mendes, Cláudia Freitas, Eduardo Negrão, Beatriz Flor De Lima, Miguel Correia Da Silva, António J. Madureira, Isabel Ramos, Venceslau Hespanhol, José Luís Costa, António Cunha, Hélder P. Oliveira:
EGFR Assessment in Lung Cancer CT Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning. IEEE Access 9: 58667-58676 (2021) - [j9]Sónia Marques, Filippo Schiavo, Carlos A. Ferreira, João Pedrosa, António Cunha, Aurélio Campilho:
A multi-task CNN approach for lung nodule malignancy classification and characterization. Expert Syst. Appl. 184: 115469 (2021) - [j8]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Gurraj Atwal, Hady Ahmady Phoulady, Xiaoyu Chen, Rongzhen Chen, Jiaoliang Li, Liansheng Wang, Adrian Galdran, Hamid Bouchachia, Krishna Chaitanya Kaluva, Kiran Vaidhya, Abhijith Chunduru, Sambit Tarai, Sai Prasad Pranav Nadimpalli, Suthirth Vaidya, Ildoo Kim, Alexandr G. Rassadin, Zhenhuan Tian, Zhongwei Sun, Yizhuan Jia, Xuejun Men, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb challenge on automatic lung cancer patient management. Medical Image Anal. 70: 102027 (2021) - [c41]Alexandra Ventura, Tânia Pereira, Francisco Silva, Cláudia Freitas, António Cunha, Hélder P. Oliveira:
Stacking Approach for Lung Cancer EGFR Mutation Status Prediction from CT Scans. BIBM 2021: 3099-3105 - [c40]Gabriel A. Carneiro, Rafaela Magalhães, Alexandre Neto, Joaquim João Sousa, António Cunha:
Grapevine Segmentation in RGB Images using Deep Learning. CENTERIS/ProjMAN/HCist 2021: 101-106 - [c39]Diogo M. Silva, Théo Bernardin, Kévin Fanton, Roshan Nepaul, Luís Pádua, Joaquim João Sousa, António Cunha:
Automatic detection of Flavescense Dorée grapevine disease in hyperspectral images using machine learning. CENTERIS/ProjMAN/HCist 2021: 125-132 - [c38]Rodrigo Abrantes, Pedro Mestre, António Cunha:
Exploring Dataset Manipulation via Machine Learning for Botnet Traffic. CENTERIS/ProjMAN/HCist 2021: 133-141 - [c37]Bruno Silva, Joaquim João Sousa, Milan Lazecký, António Cunha:
Deformation Fringes Detection in SAR interferograms Using Deep Learning. CENTERIS/ProjMAN/HCist 2021: 151-158 - [c36]Gabriel S. Carneiro, Ana Ferreira, Raul Morais, Joaquim João Sousa, António Cunha:
Analyzing the Fine Tuning's impact in Grapevine Classification. CENTERIS/ProjMAN/HCist 2021: 364-370 - [c35]Danilo Leite, Maria Campelos, Ana Fernandes, Pedro Batista, João Beirão, Pedro Menéres, António Cunha:
Machine Learning automatic assessment for glaucoma and myopia based on Corvis ST data. CENTERIS/ProjMAN/HCist 2021: 454-460 - [c34]Filipe Fonseca, Beatriz Nunes, Marta Salgado, António Cunha:
Abnormality classification in small datasets of capsule endoscopy images. CENTERIS/ProjMAN/HCist 2021: 469-476 - [c33]José Ribeiro, Sara Nóbrega, António Cunha:
Polyps Detection in Colonoscopies. CENTERIS/ProjMAN/HCist 2021: 477-484 - [c32]Alexandre Neto, José Camara, Sérgio Oliveira, Ana Cláudia Teixeira, António Cunha:
Optic disc and cup segmentations for glaucoma assessment using cup-to-disc ratio. CENTERIS/ProjMAN/HCist 2021: 485-492 - [c31]Francisco Silva, Tânia Pereira, Joana Morgado, António Cunha, Hélder P. Oliveira:
The Impact of Interstitial Diseases Patterns on Lung CT Segmentation. EMBC 2021: 2856-2859 - [c30]Mafalda Malafaia, Tânia Pereira, Francisco Silva, Joana Morgado, António Cunha, Hélder P. Oliveira:
Ensemble Strategies for EGFR Mutation Status Prediction in Lung Cancer. EMBC 2021: 3285-3288 - [c29]Gabriel S. Carneiro, Luís Pádua, Joaquim João Sousa, Emanuel Peres, Raul Morais, António Cunha:
Grapevine Variety Identification Through Grapevine Leaf Images Acquired in Natural Environment. IGARSS 2021: 7055-7058 - 2020
- [j7]Joana Rocha, António Cunha, Ana Maria Mendonça:
Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images. J. Medical Syst. 44(4): 81 (2020) - [j6]Guilherme Aresta, Carlos A. Ferreira, João Pedrosa, Teresa Araújo, João Rebelo, Eduardo Negrão, Margarida Morgado, Filipe Alves, António Cunha, Isabel Ramos, Aurélio Campilho:
Automatic Lung Nodule Detection Combined With Gaze Information Improves Radiologists' Screening Performance. IEEE J. Biomed. Health Informatics 24(10): 2894-2901 (2020) - [c28]Pedro Aguiar, António Cunha, Matus Bakon, Antonio M. Ruiz-Armenteros, Joaquim João Sousa:
Multivariate Outlier Detection in Postprocessing of Multi-temporal PS-InSAR Results using Deep Learning. CENTERIS/ProjMAN/HCist 2020: 1146-1153 - [c27]Hasan A. Zengin, José Camara, Paulo Jorge Simães Coelho, João M. F. Rodrigues, António Cunha:
Low-Resolution Retinal Image Vessel Segmentation. HCI (9) 2020: 611-627 - [c26]Carlos A. Ferreira, Guilherme Aresta, João Pedrosa, João Rebelo, Eduardo Negrão, António Cunha, Isabel Ramos, Aurélio Campilho:
Classification of Lung Nodules in CT Volumes Using the Lung-RADS™ Guidelines with Uncertainty Parameterization. ISBI 2020: 791-794 - [d1]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb Dataset. Zenodo, 2020
2010 – 2019
- 2019
- [j5]Elham Shakibapour, António Cunha, Guilherme Aresta, Ana Maria Mendonça, Aurélio Campilho:
An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans. Expert Syst. Appl. 119: 415-428 (2019) - [c25]Sara Gomes, Maria Teresa Valério, Marta Salgado, Hélder P. Oliveira, António Cunha:
Unsupervised Neural Network for Homography Estimation in Capsule Endoscopy Frames. CENTERIS/ProjMAN/HCist 2019: 602-609 - [c24]Maria Teresa Valério, Sara Gomes, Marta Salgado, Hélder P. Oliveira, António Cunha:
Lesions Multiclass Classification in Endoscopic Capsule Frames. CENTERIS/ProjMAN/HCist 2019: 637-645 - [c23]Joana Rocha, António Cunha, Ana Maria Mendonça:
Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in CT Images. EPIA (1) 2019: 361-371 - [c22]Catarina Dias, Gil Pinheiro, António Cunha, Hélder P. Oliveira:
Radiogenomics: Lung Cancer-Related Genes Mutation Status Prediction. IbPRIA (2) 2019: 335-345 - [c21]Gil Pinheiro, Paulo Jorge Simães Coelho, Mariana Mourão, Marta Salgado, Hélder P. Oliveira, António Cunha:
Small Bowel Mucosa Segmentation for Frame Characterization in Videos of Endoscopic Capsules. ISBI 2019: 83-86 - [i3]Guilherme Aresta, Carlos A. Ferreira, João Pedrosa, Teresa Araújo, João Rebelo, Eduardo Negrão, Margarida Morgado, Filipe Alves, António Cunha, Isabel Ramos, Aurélio Campilho:
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance. CoRR abs/1910.03986 (2019) - [i2]João Pedrosa, Guilherme Aresta, Carlos A. Ferreira, Márcio Rodrigues, Patrícia Leitão, André Silva Carvalho, João Rebelo, Eduardo Negrão, Isabel Ramos, António Cunha, Aurélio Campilho:
LNDb: A Lung Nodule Database on Computed Tomography. CoRR abs/1911.08434 (2019) - 2018
- [c20]Gil Pinheiro, Paulo Jorge Simães Coelho, Marta Salgado, Hélder P. Oliveira, António Cunha:
Deep Homography Based Localization on Videos of Endoscopic Capsules. BIBM 2018: 724-727 - [c19]Carlos A. Ferreira, António Cunha, Ana Maria Mendonça, Aurélio Campilho:
Convolutional Neural Network Architectures for Texture Classification of Pulmonary Nodules. CIARP 2018: 783-791 - [c18]Jonás Hruska, Telmo Adão, Luís Pádua, Pedro Marques, António Cunha, Emanuel Peres, António M. R. Sousa, Raul Morais, Joaquim João Sousa:
Machine learning classification methods in hyperspectral data processing for agricultural applications. ICGDA 2018: 137-141 - [c17]Marlene Machado, Guilherme Aresta, Patrícia Leitão, André Silva Carvalho, Márcio Rodrigues, Isabel Ramos, António Cunha, Aurélio J. C. Campilho:
Radiologists' Gaze Characterization During Lung Nodule Search in Thoracic CT. ICGI 2018: 1-7 - [c16]Paulo Jorge Simães Coelho, Ana Pereira, Argentina Leite, Marta Salgado, António Cunha:
A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies. ICIAR 2018: 553-561 - [c15]Guilherme Aresta, Teresa Araújo, Colin Jacobs, Bram van Ginneken, António Cunha, Isabel Ramos, Aurélio Campilho:
Towards an Automatic Lung Cancer Screening System in Low Dose Computed Tomography. RAMBO+BIA+TIA@MICCAI 2018: 310-318 - [i1]Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken, Aurélio Campilho:
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. CoRR abs/1811.12789 (2018) - 2017
- [c14]Guilherme Aresta, António Cunha, Aurélio Campilho:
Detection of juxta-pleural lung nodules in computed tomography images. Medical Imaging: Computer-Aided Diagnosis 2017: 101343N - [c13]Luis Gonçalves, Jorge Novo, António Cunha, Aurélio J. C. Campilho:
Evaluation of the Degree of Malignancy of Lung Nodules in Computed Tomography Images. VISIGRAPP (6: VISAPP) 2017: 74-80 - 2016
- [c12]Luís Costa, Paula Trigueiros Cunha, António Cunha:
Automatic Meal Intake Monitoring Using Hidden Markov Models. CENTERIS/ProjMAN/HCist 2016: 110-117 - [c11]António Cunha, Evandro Cunha, Emanuel Peres, Paula Trigueiros Cunha:
Helping Older People: Is there an App for that? CENTERIS/ProjMAN/HCist 2016: 118-127 - 2015
- [j4]Luís Pádua, Telmo Adão, David Narciso, António Cunha, Luís Magalhães, Emanuel Peres:
Towards Modern Cost-effective and Lightweight Augmented Reality Setups. Int. J. Web Portals 7(2): 33-59 (2015) - [j3]Márcio Garcia Martins, António Cunha, Irene Oliveira, Leonel Morgado:
Usability test of 3Dconnexion 3D mice versus keyboard + mouse in Second Life undertaken by people with motor disabilities due to medullary lesions. Univers. Access Inf. Soc. 14(1): 5-16 (2015) - [c10]António Cunha, Pedro Gonçalves, João Barreira, António Trigo, Samantha Jane Hughes:
Mobile RHS: A Mobile Application to Support the "River Habitat Survey" Methodology. CENTERIS/ProjMAN/HCist 2015: 87-94 - [c9]António Cunha, Paula Trigueiros Cunha, António Jorge Gouveia:
HelpWave: An Integrated Web Centred System. CENTERIS/ProjMAN/HCist 2015: 110-117 - [c8]Luís Pádua, David Narciso, Telmo Adão, António Cunha, Emanuel Peres, Luís Magalhães:
Cost-effective and Lightweight Mobile Units for MixAR: A Comparative Trial among Different Setups. CENTERIS/ProjMAN/HCist 2015: 870-878 - 2014
- [c7]António Cunha, Paula Trigueiros Cunha, Tiago Lemos:
Reassuring the Elderly Regarding the Use of Mobile Devices for Mobility. HCI (6) 2014: 46-57 - [c6]Andre Carvalho, Susana Oliveira, Sandra Fernandes, António Cunha:
ASL: a DSL for remote contact center agents. SMC 2014: 3322-3327 - 2013
- [c5]João Quintas, António Cunha, Pedro Serra, André Pereira, Bruno Marques, Jorge Dias:
Indoor Localization and Tracking Using 802.11 Networks and Smartphones. EvAAL 2013: 117-127 - 2012
- [c4]Márcio Garcia Martins, António Cunha, Leonel Morgado:
Usability Test of 3Dconnexion 3D Mice Versus Keyboard+Mouse in Second Life Undertaken by People with Motor Disabilities due to Medullary Lesions. DSAI 2012: 119-127 - 2011
- [j2]Ana P. Teixeira, João M. L. Dias, Nuno Carinhas, Marcos Sousa, José Clemente, António Cunha, Moritz von Stosch, Paula M. Alves, Manuel J. T. Carrondo, Rui Oliveira:
Cell functional enviromics: Unravelling the function of environmental factors. BMC Syst. Biol. 5: 92 (2011) - [c3]Cátia Dias, Odete Fernandes, António Cunha, Leonel Morgado:
Planning of a usability test for 3D controllers in Second Life / OpenSimulator virtual worlds. SeGAH 2011: 1-4 - [c2]Ana Liborio, Sylvie Couto, António Cunha, Paulo Jorge Simães Coelho:
Endoscopy - Brief historical survey, developments and therapeutics. SeGAH 2011: 1-4
2000 – 2009
- 2008
- [c1]Vitor Basto-Fernandes, João Varajão, António Cunha:
A Pervasive Nutritional Monitoring and Advise System - NutriMe. ICE-B 2008: 149-154 - 2007
- [j1]Rui P. Rocha, António Cunha, Joaquim Varandas, Jorge Dias:
Towards a new mobility concept for cities: architecture and programming of semi-autonomous electric vehicles. Ind. Robot 34(2): 142-149 (2007)
Coauthor Index
Aurélio J. C. Campilho
aka: Aurélio Campilho
aka: Aurélio Campilho
Gabriel A. Carneiro
aka: Gabriel Antonio Carneiro
aka: Gabriel Antonio Carneiro
Joaquim João Sousa
aka: Joaquim João Moreira de Sousa
aka: Joaquim João Moreira de Sousa
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