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António Cunha
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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
842019
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
652019
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
632021
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
622020
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
522018
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
472020
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
362019
Helpmepills: A mobile pill recognition tool for elderly persons
A Cunha, T Adão, P Trigueiros
Procedia Technology 16, 1523-1532, 2014
352014
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
312021
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
282021
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
272022
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
262020
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
252022
Evaluation of MS Kinect for elderly meal intake monitoring
A Cunha, L Pádua, L Costa, P Trigueiros
Procedia Technology 16, 1383-1390, 2014
252014
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
242020
Detection of juxta-pleural lung nodules in computed tomography images
G Aresta, A Cunha, A Campilho
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 952-958, 2017
242017
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
232021
Learning lung nodule malignancy likelihood from radiologist annotations or diagnosis data
L Gonçalves, J Novo, A Cunha, A Campilho
Journal of Medical and Biological Engineering 38, 424-442, 2018
232018
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
202023
Pre-training autoencoder for lung nodule malignancy assessment using CT images
F Silva, T Pereira, J Frade, J Mendes, C Freitas, V Hespanhol, JL Costa, ...
applied sciences 10 (21), 7837, 2020
202020
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