| Automatic Red-Channel underwater image restoration A Galdran, D Pardo, A Picón, A Alvarez-Gila Journal of Visual Communication and Image Representation 26, 132-145, 2015 | 1102 | 2015 |
| Metrics reloaded: Recommendations for image analysis validation L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ... Nature Methods, 1-18, 2024 | 612* | 2024 |
| End-to-end adversarial retinal image synthesis P Costa, A Galdran, MI Meyer, M Niemeijer, M Abràmoff, AM Mendonça, ... IEEE transactions on medical imaging 37 (3), 781-791, 2018 | 529 | 2018 |
| Image dehazing by artificial multiple-exposure image fusion A Galdran Signal Processing 149, 135-147, 2018 | 321 | 2018 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 264 | 2021 |
| Deepdrid: Diabetic retinopathy—grading and image quality estimation challenge R Liu, X Wang, Q Wu, L Dai, X Fang, T Yan, J Son, S Tang, J Li, Z Gao, ... Patterns 3 (6), 2022 | 218 | 2022 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods, 1-13, 2024 | 196 | 2024 |
| NTIRE 2018 Challenge on Image Dehazing: Methods and Results C Ancuti, CO Ancuti, R Timofte, L Van Gool, L Zhang, MH Yang, VM Patel, ... The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018 | 192 | 2018 |
| 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, 2018 | 171 | 2018 |
| Balanced-mixup for highly imbalanced medical image classification A Galdran, G Carneiro, MA González Ballester International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 166 | 2021 |
| Towards Adversarial Retinal Image Synthesis P Costa, A Galdran, MI Meyer, MD Abràmoff, M Niemeijer, AM Mendonça, ... arXiv preprint arXiv:1701.08974, 2017 | 164 | 2017 |
| On the duality between retinex and image dehazing A Galdran, A Alvarez-Gila, A Bria, J Vazquez-Corral, M Bertalmío IEEE Conference on Computer Vision and Pattern Recognition 3 (7), 2018 | 158 | 2018 |
| State-of-the-art retinal vessel segmentation with minimalistic models A Galdran, A Anjos, J Dolz, H Chakor, H Lombaert, IB Ayed Scientific Reports 12 (1), 1-13, 2022 | 157* | 2022 |
| Fusion-based variational image dehazing A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío IEEE Signal Processing Letters 24 (2), 151-155, 2017 | 152 | 2017 |
| The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration B Liu, I Ben Ayed, A Galdran, J Dolz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 132 | 2022 |
| Enhanced Variational Image Dehazing A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío SIAM Journal on Imaging Sciences 27, 25, 2015 | 120 | 2015 |
| 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, 2023 | 115 | 2023 |
| A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images P Costa, A Galdran, A Smailagic, A Campilho IEEE Access, 2018 | 114 | 2018 |
| 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 |
| Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat, C Yang, W Li, A Galdran, ... Scientific Reports 14 (1), 2032, 2024 | 97 | 2024 |
Aurelio CampilhoEmeritus Professor, University of Porto and INESC TECVerified email at fe.up.pt
