| 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 | 521 | 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 | 195 | 2019 |
| Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 44 | 2020 |
| 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 | 41 | 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 | 37 | 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 | 29 | 2019 |
| 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 63, 101715, 2020 | 18 | 2020 |
| 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 | 17 | 2019 |
| 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 | 10 | 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 | 9 | 2018 |
| Parametric model fitting-based approach for retinal blood vessel caliber estimation in eye fundus images T Araújo, AM Mendonça, A Campilho PloS one 13 (4), e0194702, 2018 | 8 | 2018 |
| A no-reference quality metric for retinal vessel tree segmentation A Galdran, P Costa, A Bria, T Araújo, AM Mendonça, A Campilho International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 7 | 2018 |
| Analysis of the performance of specialists and an automatic algorithm in retinal image quality assessment DS Wanderley, T Araújo, CB Carvalho, C Maia, S Penas, Â Carneiro, ... 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG), 1-4, 2019 | 6 | 2019 |
| Retinal image quality assessment by mean-subtracted contrast-normalized coefficients A Galdran, T Araújo, AM Mendonça, A Campilho European Congress on Computational Methods in Applied Sciences and …, 2017 | 6 | 2017 |
| Segmentation and three‐dimensional reconstruction of lesions using the automated breast volume scanner (ABVS) T Araújo, M Abayazid, MJCM Rutten, S Misra The International Journal of Medical Robotics and Computer Assisted Surgery …, 2017 | 6 | 2017 |
| 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 24 (10), 2894-2901, 2020 | 4 | 2020 |
| Estimation of retinal vessel caliber using model fitting and random forests T Araújo, AM Mendonça, A Campilho Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101341K, 2017 | 4 | 2017 |
| 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 155 (4), 527-536, 2021 | 3 | 2021 |
| 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 | 2 | 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 | 2 | 2015 |
Aurelio CampilhoProfessor of ECE, University of Porto and INESC TECEmail confirmado em fe.up.pt
