Adrian Galdran
Adrian Galdran
Ramon y Cajal Postdoctoral Researcher, Computer Vision Center - UAB, Spain
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
Image dehazing by artificial multiple-exposure image fusion
A Galdran
Signal Processing 149, 135-147, 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
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
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
Fusion-based variational image dehazing
A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío
IEEE Signal Processing Letters 24 (2), 151-155, 2017
Towards Adversarial Retinal Image Synthesis
P Costa, A Galdran, MI Meyer, MD Abràmoff, M Niemeijer, AM Mendonça, ...
arXiv preprint arXiv:1701.08974, 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
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
Enhanced Variational Image Dehazing
A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío
SIAM Journal on Imaging Sciences 27, 25, 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
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images
P Costa, A Galdran, A Smailagic, A Campilho
IEEE Access, 2018
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
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
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
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
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
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
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
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