| 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 | 943 | 2015 |
| 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 | 474 | 2018 |
| Image dehazing by artificial multiple-exposure image fusion A Galdran Signal Processing 149, 135-147, 2018 | 281 | 2018 |
| 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 | 280* | 2024 |
| 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 | 200 | 2021 |
| 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 | 183 | 2018 |
| Towards Adversarial Retinal Image Synthesis P Costa, A Galdran, MI Meyer, MD Abràmoff, M Niemeijer, AM Mendonça, ... arXiv preprint arXiv:1701.08974, 2017 | 152 | 2017 |
| Fusion-based variational image dehazing A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío IEEE Signal Processing Letters 24 (2), 151-155, 2017 | 150 | 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 | 141 | 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 | 130 | 2018 |
| Balanced-mixup for highly imbalanced medical image classification A Galdran, G Carneiro, MA González Ballester Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 124 | 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 | 121 | 2022 |
| Enhanced Variational Image Dehazing A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío SIAM Journal on Imaging Sciences 27, 25, 2015 | 115 | 2015 |
| A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images P Costa, A Galdran, A Smailagic, A Campilho IEEE Access, 2018 | 99 | 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 | 96 | 2017 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods, 1-13, 2024 | 85 | 2024 |
| 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 | 84* | 2022 |
| 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 | 74 | 2022 |
| MedAL: Accurate and Robust Deep Active Learning for Medical Image Analysis A Smailagic, P Costa, HY Noh, D Walawalkar, K Khandelwal, A Galdran, ... 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 73 | 2018 |
| A deep learning approach to the inversion of borehole resistivity measurements M Shahriari, D Pardo, A Picón, A Galdran, J Del Ser, C Torres-Verdín Computational Geosciences 24, 971-994, 2020 | 71 | 2020 |
Aurelio CampilhoEmeritus Professor, University of Porto and INESC TEC在 fe.up.pt 的电子邮件经过验证
