Adrian Galdran 个人学术档案

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引用	3044	2888
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i10 指数	44	44

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Aurelio CampilhoProfessor of ECE, University of Porto and INESC TEC在 fe.up.pt 的电子邮件经过验证
Pedro CostaOcean Infinity and FEUP在 fe.up.pt 的电子邮件经过验证
Ana MendonçaProfessor of ECE, University of Porto在 fe.up.pt 的电子邮件经过验证
David PardoIkerbasque, University of the Basque Country (UPV/EHU), and BCAM在 ehu.eus 的电子邮件经过验证
Maria Ines MeyerResearch Engineer at Materialise在 materialise.be 的电子邮件经过验证
Artzai PiconComputer Vision/Artificial Intelligence, TECNALIA, Basque Research and Technology Alliance (BRTA)在 tecnalia.com 的电子邮件经过验证
Javier Vazquez-Corral (ORCID: 0000-...Associate Professor, Universitat Autònoma de Barcelona & Researcher, Computer Vision Center在 cvc.uab.cat 的电子邮件经过验证
Aitor Alvarez-GilaSenior researcher at TECNALIA在 tecnalia.com 的电子邮件经过验证
Marcelo BertalmíoSenior Research Scientist, Spanish National Research Council (CSIC)在 csic.es 的电子邮件经过验证
Asim SmailagicProfessor of Electrical and Computer Engineering, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Ismail Ben AyedProfessor, ETS Montreal在 etsmtl.ca 的电子邮件经过验证
Jose DolzAssociate Professor, ETS Montreal在 etsmtl.ca 的电子邮件经过验证
Gustavo CarneiroProfessor of AI and Machine Learning, University of Surrey在 surrey.ac.uk 的电子邮件经过验证
Miguel A. González BallesterICREA - Universitat Pompeu Fabra在 upf.edu 的电子邮件经过验证
Teresa AraújoMedical University of Vienna在 meduniwien.ac.at 的电子邮件经过验证
Michael D. AbramoffProfessor of Ophthalmology and Visual Sciences, Electrical and Computer Engineering and Biomedical Engineering在 uiowa.edu 的电子邮件经过验证
Alessandro BriaUniversity of Cassino and Southern Latium在 unicas.it 的电子邮件经过验证
Dr Hadi Chakor MDDiagnos: Artificial intelligence in medical screening在 retinacardio.com 的电子邮件经过验证
Guilherme ArestaMedical University of Vienna在 meduniwien.ac.at 的电子邮件经过验证
Herve LombaertResearch Scientist – Prof.在 inria.fr 的电子邮件经过验证

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Adrian Galdran

Marie Skłodowska-Curie Research Fellow, Universitat Pompeu Fabra & University of Adelaide

在 upf.edu 的电子邮件经过验证 - 首页

Image Processing Computer Vision Deep Learning for Biomedical Image Analysis


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	624	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	343	2018
Image dehazing by artificial multiple-exposure image fusion A Galdran Signal Processing 149, 135-147, 2018	198	2018
Ntire 2018 challenge on spectral reconstruction from rgb images B Arad, O Ben-Shahar, R Timofte, L Van Gool, L Zhang, MH Yang, ...	167	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	144	2018
Fusion-based variational image dehazing A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío IEEE Signal Processing Letters 24 (2), 151-155, 2017	124	2017
Towards Adversarial Retinal Image Synthesis P Costa, A Galdran, MI Meyer, MD Abràmoff, M Niemeijer, AM Mendonça, ... arXiv preprint arXiv:1701.08974, 2017	124	2017
Enhanced Variational Image Dehazing A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío SIAM Journal on Imaging Sciences 27, 25, 2015	105	2015
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	104	2018
A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images P Costa, A Galdran, A Smailagic, A Campilho IEEE Access, 2018	81	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	79	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	61	2017
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	48	2020
A Variational Framework for Single Image Dehazing. A Galdran, J Vazquez-Corral, D Pardo, M Bertalmío ECCV Workshops (3), 259-270, 2014	47	2014
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	46	2018
A pixel-wise distance regression approach for joint retinal optical disc and fovea detection MI Meyer, A Galdran, AM Mendonça, A Campilho Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018	45	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	44	2021
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	39	2019
End-to-End Supervised Lung Lobe Segmentation FT Ferreira, P Sousa, A Galdran, MR Sousa, A Campilho 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018	37	2018
O‐MedAL: Online active deep learning for medical image analysis A Smailagic, P Costa, A Gaudio, K Khandelwal, M Mirshekari, J Fagert, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (4 …, 2020	35	2020

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