| 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 | 1260 | 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 | 864 | 2019 |
| 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 | 171 | 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 | 153 | 2020 |
| 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 | 121 | 2019 |
| Airogs: Artificial intelligence for robust glaucoma screening challenge C De Vente, KA Vermeer, N Jaccard, H Wang, H Sun, F Khader, D Truhn, ... IEEE transactions on medical imaging 43 (1), 542-557, 2023 | 115 | 2023 |
| 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 | 105 | 2017 |
| 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 | 96 | 2019 |
| Data augmentation for improving proliferative diabetic retinopathy detection in eye fundus images T Araújo, G Aresta, L Mendonça, S Penas, C Maia, A Carneiro, ... IEEE access 8, 182462-182474, 2020 | 72 | 2020 |
| MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik 70 (1), 71-90, 2025 | 71 | 2025 |
| LNDb challenge on automatic lung cancer patient management J Pedrosa, G Aresta, C Ferreira, G Atwal, HA Phoulady, X Chen, R Chen, ... Medical image analysis 70, 102027, 2021 | 60 | 2021 |
| HEROHE challenge: predicting HER2 status in breast cancer from hematoxylin–eosin whole-slide imaging E Conde-Sousa, J Vale, M Feng, K Xu, Y Wang, V Della Mea, ... Journal of Imaging 8 (8), 213, 2022 | 53 | 2022 |
| 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 | 41 | 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 | 40 | 2019 |
| 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 | 39 | 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 | 39 | 2020 |
| Segmentation of Bruch's membrane in retinal OCT with AMD using anatomical priors and uncertainty quantification B Fazekas, D Lachinov, G Aresta, J Mai, U Schmidt-Erfurth, H Bogunović IEEE journal of biomedical and health informatics 27 (1), 41-52, 2022 | 32 | 2022 |
| 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 | 30 | 2017 |
| Uolo-automatic object detection and segmentation in biomedical images T Araújo, G Aresta, A Galdran, P Costa, AM Mendonça, A Campilho International Workshop on Deep Learning in Medical Image Analysis, 165-173, 2018 | 29 | 2018 |
| SD-LayerNet: Semi-supervised retinal layer segmentation in OCT using disentangled representation with anatomical priors B Fazekas, G Aresta, D Lachinov, S Riedl, J Mai, U Schmidt-Erfurth, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 24 | 2022 |
Teresa AraújoMedical University of ViennaVerified email at meduniwien.ac.at
