John Edison Arevalo Ovalle
Affiliations:- National University of Colombia, Bogotá, Colombia
According to our database1,
John Edison Arevalo Ovalle
authored at least 16 papers
between 2012 and 2020.
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Bibliography
2020
2017
Combining morphometric features and convolutional networks fusion for glaucoma diagnosis.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
2016
Representation learning for mammography mass lesion classification with convolutional neural networks.
Comput. Methods Programs Biomed., 2016
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016
2015
Artif. Intell. Medicine, 2015
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Working Notes of CLEF 2015, 2015
2014
Proceedings of the Working Notes for CLEF 2014 Conference, 2014
Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014
Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources.
Proceedings of the High Performance Computing - First HPCLATAM, 2014
2013
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
BIGS: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources.
Proceedings of the 8th IEEE International Conference on E-Science, 2012
Bag of Features for Automatic Classification of Alzheimer's Disease in Magnetic Resonance Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012