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António Cunha
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Year
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
G Aresta, C Jacobs, T Araújo, A Cunha, I Ramos, B van Ginneken, ...
Scientific reports 9 (1), 11591, 2019
1022019
The role of liquid biopsy in early diagnosis of lung cancer
C Freitas, C Sousa, F Machado, M Serino, V Santos, N Cruz-Martins, ...
Frontiers in Oncology 11, 634316, 2021
772021
LNDb: a lung nodule database on computed tomography
J Pedrosa, G Aresta, C Ferreira, M Rodrigues, P Leitão, AS Carvalho, ...
arXiv preprint arXiv:1911.08434, 2019
752019
Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS
G Pinheiro, T Pereira, C Dias, C Freitas, V Hespanhol, JL Costa, A Cunha, ...
Scientific reports 10 (1), 3625, 2020
662020
A deep learning approach for red lesions detection in video capsule endoscopies
P Coelho, A Pereira, A Leite, M Salgado, A Cunha
Image Analysis and Recognition: 15th International Conference, ICIAR 2018 …, 2018
622018
Conventional filtering versus u-net based models for pulmonary nodule segmentation in ct images
J Rocha, A Cunha, AM Mendonça
Journal of Medical Systems 44 (4), 81, 2020
562020
A systematic review on automatic insect detection using deep learning
AC Teixeira, J Ribeiro, R Morais, JJ Sousa, A Cunha
Agriculture 13 (3), 713, 2023
512023
EGFR Assessment in Lung Cancer CT Images: Analysis of Local and Holistic Regions of Interest Using Deep Unsupervised Transfer Learning
F Silva, T Pereira, J Morgado, J Frade, J Mendes, C Freitas, E Negrao, ...
IEEE Access 9, 58667-58676, 2021
402021
An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans
E Shakibapour, A Cunha, G Aresta, AM Mendonça, A Campilho
Expert Systems with Applications 119, 415-428, 2019
382019
Helpmepills: A mobile pill recognition tool for elderly persons
A Cunha, T Adão, P Trigueiros
Procedia Technology 16, 1523-1532, 2014
372014
Literature review on artificial intelligence methods for glaucoma screening, segmentation, and classification
J Camara, A Neto, IM Pires, MV Villasana, E Zdravevski, A Cunha
Journal of Imaging 8 (2), 19, 2022
362022
Towards machine learning-aided lung cancer clinical routines: Approaches and open challenges
F Silva, T Pereira, I Neves, J Morgado, C Freitas, M Malafaia, J Sousa, ...
Journal of Personalized Medicine 12 (3), 480, 2022
332022
Machine Learning and Feature Selection Methods for EGFR Mutation Status Prediction in Lung Cancer
J Morgado, T Pereira, F Silva, C Freitas, E Negrão, BF de Lima, ...
Applied Sciences 11 (7), 3273, 2021
332021
Automatic lung nodule detection combined with gaze information improves radiologists’ screening performance
G Aresta, C Ferreira, J Pedrosa, T Araujo, J Rebelo, E Negrao, ...
IEEE journal of biomedical and health informatics 24 (10), 2894-2901, 2020
332020
A multi-task CNN approach for lung nodule malignancy classification and characterization
S Marques, F Schiavo, CA Ferreira, J Pedrosa, A Cunha, A Campilho
Expert Systems with Applications 184, 115469, 2021
322021
Sharing Biomedical Data: Strengthening AI Development in Healthcare
T Pereira, J Morgado, F Silva, MM Pelter, VR Dias, R Barros, C Freitas, ...
Healthcare 9, 2021
312021
Lung segmentation in CT images: a residual U-Net approach on a cross-cohort dataset
J Sousa, T Pereira, F Silva, MC Silva, AT Vilares, A Cunha, HP Oliveira
Applied Sciences 12 (4), 1959, 2022
292022
Comprehensive perspective for lung cancer characterisation based on AI solutions using CT images
T Pereira, C Freitas, JL Costa, J Morgado, F Silva, E Negrão, BF de Lima, ...
Journal of Clinical Medicine 10 (1), 118, 2020
292020
Evaluations of deep learning approaches for glaucoma screening using retinal images from mobile device
A Neto, J Camara, A Cunha
Sensors 22 (4), 1449, 2022
272022
Evaluation of MS Kinect for elderly meal intake monitoring
A Cunha, L Pádua, L Costa, P Trigueiros
Procedia Technology 16, 1383-1390, 2014
272014
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Articles 1–20