Sebastian Otálora
Sebastian Otálora
PhD candidate, 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
432017
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
272017
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
272015
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
252016
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
232018
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
182017
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
122012
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
92017
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
72019
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
62019
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
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
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
42018
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
42018
A 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
32020
A deep learning strategy for vehicular floating content management
G Manzo, JS Otalora, MA Marsan, G Rizzo
ACM SIGMETRICS performance evaluation review 46 (3), 159-162, 2019
32019
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
32019
DeepFloat: Resource-Efficient Dynamic Management of Vehicular Floating Content
G Manzo, S Otálora, T Braun, MA Marsan, G Rizzo, H Nguyen
2019 31st International Teletraffic Congress (ITC 31), 46-54, 2019
22019
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
22019
A deep learning mechanism for efficient information dissemination in vehicular floating content
G Manzo, JSO Montenegro, G Rizzo
arXiv preprint arXiv:1810.10425, 2018
12018
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