| Classification of breast cancer histology images using convolutional neural networks T Araújo, G Aresta, E Castro, J Rouco, P Aguiar, C Eloy, A Polónia, ... PloS one 12 (6), e0177544, 2017 | 391 | 2017 |
| Bach: Grand challenge on breast cancer histology images G Aresta, T Araújo, S Kwok, SS Chennamsetty, M Safwan, V Alex, ... Medical image analysis 56, 122-139, 2019 | 111 | 2019 |
| Data-driven color augmentation techniques for deep skin image analysis A Galdran, A Alvarez-Gila, MI Meyer, CL Saratxaga, T Araújo, E Garrote, ... arXiv preprint arXiv:1703.03702, 2017 | 34 | 2017 |
| CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ... Medical image analysis 52, 24-41, 2019 | 17 | 2019 |
| 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), 1-9, 2019 | 15 | 2019 |
| 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 | 14 | 2019 |
| 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 | 11 | 2019 |
| Detection of juxta-pleural lung nodules in computed tomography images G Aresta, A Cunha, A Campilho Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101343N, 2017 | 11 | 2017 |
| EyeWes: weakly supervised pre-trained convolutional neural networks for diabetic retinopathy detection P Costa, T Araújo, G Aresta, A Galdran, AM Mendonça, A Smailagic, ... 2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019 | 10 | 2019 |
| Effects of hypergravity on the angiogenic potential of endothelial cells R Costa-Almeida, DTO Carvalho, MJS Ferreira, G Aresta, ME Gomes, ... Journal of The Royal Society Interface 13 (124), 20160688, 2016 | 9 | 2016 |
| UOLO-automatic object detection and segmentation in biomedical images T Araújo, G Aresta, A Galdran, P Costa, AM Mendonça, A Campilho Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 8 | 2018 |
| Towards an automatic lung cancer screening system in low dose computed tomography G Aresta, T Araújo, C Jacobs, B van Ginneken, A Cunha, I Ramos, ... Image Analysis for Moving Organ, Breast, and Thoracic Images, 310-318, 2018 | 7 | 2018 |
| DR| GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images T Araújo, G Aresta, L Mendonça, S Penas, C Maia, Â Carneiro, ... Medical Image Analysis, 101715, 2020 | 5 | 2020 |
| Wide residual network for lung-rads™ screening referral CA Ferreira, G Aresta, A Cunha, AM Mendonça, A Campilho 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG), 1-4, 2019 | 3 | 2019 |
| Radiologists' Gaze Characterization During Lung Nodule Search in Thoracic CT M Machado, G Aresta, P Leitão, AS Carvalho, M Rodrigues, I Ramos, ... 2018 International Conference on Graphics and Interaction (ICGI), 1-7, 2018 | 3 | 2018 |
| Automatic lung nodule detection combined with gaze information improves radiologists' screening performance G Aresta, C Ferreira, J Pedrosa, T Araújo, J Rebelo, E Negrão, ... IEEE Journal of Biomedical and Health Informatics, 2020 | 2 | 2020 |
| LNDetector: A flexible gaze characterisation collaborative platform for pulmonary nodule screening J Pedrosa, G Aresta, J Rebelo, E Negrão, I Ramos, A Cunha, A Campilho Mediterranean Conference on Medical and Biological Engineering and Computing …, 2019 | 1 | 2019 |
| Improving Convolutional Neural Network Design via Variable Neighborhood Search T Araújo, G Aresta, B Almada-Lobo, AM Mendonça, A Campilho International Conference Image Analysis and Recognition, 371-379, 2017 | 1 | 2017 |
| Optical Flow Based Approach for Automatic Cardiac Cycle Estimation in Ultrasound Images of the Carotid T Araújo, G Aresta, J Rouco, C Ferreira, E Azevedo, A Campilho International Conference Image Analysis and Recognition, 360-367, 2015 | 1 | 2015 |
| Artificial Intelligence Improves the Accuracy in Histologic Classification of Breast Lesions A Polónia, S Campelos, A Ribeiro, I Aymore, D Pinto, M Biskup-Fruzynska, ... American Journal of Clinical Pathology, 2020 | | 2020 |
