Sebastian Otálora
Sebastian Otálora
PhD, University Of Geneva, University of Applied Sciences and Arts Western Switzerland
Verified email at etu.unige.ch - Homepage
Title
Cited by
Cited by
Year
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade gleason score
OJ del Toro, M Atzori, S Otálora, M Andersson, K Eurén, M Hedlund, ...
Medical Imaging 2017: Digital Pathology 10140, 101400O, 2017
622017
A novel machine learning model based on exudate localization to detect diabetic macular edema
O Perdomo, S Otalora, F Rodríguez, J Arevalo, FA González
University of Iowa, 2016
342016
Training deep convolutional neural networks with active learning for exudate classification in eye fundus images
S Otálora, O Perdomo, F González, H Müller
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017
332017
Oct-net: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes
O Perdomo, S Otálora, FA González, F Meriaudeau, H Müller
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
312018
Analysis of histopathology images: From traditional machine learning to deep learning
O Jimenez-del-Toro, S Otálora, M Andersson, K Eurén, M Hedlund, ...
Biomedical Texture Analysis, 281-314, 2017
312017
Combining unsupervised feature learning and riesz wavelets for histopathology image representation: application to identifying anaplastic medulloblastoma
S Otálora, A Cruz-Roa, J Arevalo, M Atzori, A Madabhushi, AR Judkins, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015
312015
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography
O Perdomo, H Rios, FJ Rodríguez, S Otálora, F Meriaudeau, H Müller, ...
Computer methods and programs in biomedicine 178, 181-189, 2019
202019
Deep multimodal case–based retrieval for large histopathology datasets
O Jimenez-del-Toro, S Otálora, M Atzori, H Müller
International Workshop on Patch-based Techniques in Medical Imaging, 149-157, 2017
202017
Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology
S Otálora, M Atzori, V Andrearczyk, A Khan, H Müller
Frontiers in bioengineering and biotechnology 7, 198, 2019
182019
Bigs: A framework for large-scale image processing and analysis over distributed and heterogeneous computing resources
R Ramos-Pollán, FA González, JC Caicedo, A Cruz-Roa, JE Camargo, ...
2012 IEEE 8th International Conference on E-Science, 1-8, 2012
152012
Systematic comparison of deep learning strategies for weakly supervised Gleason grading
S Otálora, M Atzori, A Khan, O Jimenez-del-Toro, V Andrearczyk, H Müller
Medical Imaging 2020: Digital Pathology 11320, 113200L, 2020
132020
Deep learning-based retrieval system for gigapixel histopathology cases and the open access literature
R Schaer, S Otálora, O Jimenez-del-Toro, M Atzori, H Müller
Journal of pathology informatics 10, 2019
112019
Image magnification regression using densenet for exploiting histopathology open access content
S Otálora, M Atzori, V Andrearczyk, H Müller
Computational pathology and ophthalmic medical image analysis, 148-155, 2018
102018
Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification
R Joyseeree, S Otálora, H Müller, A Depeursinge
Medical image analysis 56, 172-183, 2019
72019
Deep learning based retrieval system for gigapixel histopathology cases and open access literature
S Otálora, R Schaer, O Jimenez-del-Toro, M Atzori, H Müller
bioRxiv, 408237, 2018
72018
MindLab at ImageCLEF 2014: Scalable Concept Image Annotation.
JA Vanegas, JEA Ovalle, JSO Montenegro, F Páez, SA Pérez-Rubiano, ...
CLEF (Working Notes), 404-410, 2014
62014
Determining the scale of image patches using a deep learning approach
S Otálora, O Perdomo, M Atzori, M Andersson, L Jacobsson, M Hedlund, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
52018
Una aplicación de topic modeling para el estudio del trauma: el caso de chevron-texaco en ecuador
E Sanandrés, JS Otálora Montenegro
Investigación y Desarrollo 23 (2), 228-255, 2015
52015
Online matrix factorization for space embedding multilabel annotation
S Otálora-Montenegro, SA Pérez-Rubiano, FA González
Iberoamerican Congress on Pattern Recognition, 343-350, 2013
52013
Semi-weakly supervised learning for prostate cancer image classification with teacher-student deep convolutional networks
S Otálora, N Marini, H Müller, M Atzori
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
42020
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Articles 1–20