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 | 845 | 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 | 437 | 2018 |
Image dehazing by artificial multiple-exposure image fusion A Galdran Signal Processing 149, 135-147, 2018 | 254 | 2018 |
Ntire 2018 challenge on spectral reconstruction from rgb images B Arad, O Ben-Shahar, R Timofte, L Van Gool, L Zhang, MH Yang, ... | 223 | 2018 |
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 | 171 | 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 | 155 | 2021 |
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 | 152* | 2024 |
Fusion-based variational image dehazing A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío IEEE Signal Processing Letters 24 (2), 151-155, 2017 | 145 | 2017 |
Towards Adversarial Retinal Image Synthesis P Costa, A Galdran, MI Meyer, MD Abràmoff, M Niemeijer, AM Mendonça, ... arXiv preprint arXiv:1701.08974, 2017 | 139 | 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 | 131 | 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 | 114 | 2018 |
Enhanced Variational Image Dehazing A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío SIAM Journal on Imaging Sciences 27, 25, 2015 | 109 | 2015 |
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 | 103 | 2021 |
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images P Costa, A Galdran, A Smailagic, A Campilho IEEE Access, 2018 | 98 | 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 | 85 | 2017 |
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 | 80 | 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 | 68 | 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 | 64* | 2022 |
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 | 64 | 2020 |
Uncertainty-Aware Artery/Vein Classification on Retinal Images A Galdran, M Meyer, P Costa, A Campilho 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 58 | 2019 |