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| 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 | 77 | 2021 |
| 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 | 75 | 2019 |
| 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 | 66 | 2020 |
| 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 | 62 | 2018 |
| 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 | 56 | 2020 |
| 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 | 51 | 2023 |
| 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 | 40 | 2021 |
| 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 | 38 | 2019 |
| Helpmepills: A mobile pill recognition tool for elderly persons A Cunha, T Adão, P Trigueiros Procedia Technology 16, 1523-1532, 2014 | 37 | 2014 |
| 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 | 36 | 2022 |
| 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 | 33 | 2022 |
| 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 | 33 | 2021 |
| 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 | 33 | 2020 |
| 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 | 32 | 2021 |
| 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 | 31 | 2021 |
| 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 | 29 | 2022 |
| 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 | 29 | 2020 |
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Helder P. OliveiraFCUP, INESC TEC, PortugalVerified email at fc.up.pt
