Oscar J. Perdomo / orcid.org/0000-0001-9493-2324
Oscar J. Perdomo / orcid.org/0000-0001-9493-2324
Universidad del Rosario. Escuela de Medicina y Ciencias de la Salud. Ingeniería Biomédica
Verified email at urosario.edu.co - Homepage
Cited by
Cited by
A Novel Machine Learning Model Based On Exudate Localization to Detect Diabetic Macular Edema
OJ Perdomo, S Otalora, F Rodríguez, J Arevalo, FA González
Proceedings of the Ophthalmic Medical Image Analysis Third International …, 2016
Oct-net: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes
OJ Perdomo, S Otálora, FA González, F Meriaudeau, H Müller
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
Training deep convolutional neural networks with active learning for exudate classification in eye fundus images
S Otálora, OJ Perdomo, FA González, H Müller
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography
OJ Perdomo, H Rios, FJ Rodríguez, S Otálora, F Meriaudeau, H Müller, ...
Computer methods and programs in biomedicine 178, 181-189, 2019
Convolutional network to detect exudates in eye fundus images of diabetic subjects,
OJ Perdomo, J Arevalo, FA González
Proc. SPIE 10160, 12th International Symposium on Medical Information …, 2016
Automated diabetic macular edema (DME) analysis using fine tuning with inception-resnet-v2 on OCT images
RM Kamble, GCY Chan, OJ Perdomo, M Kokare, FA Gonzalez, H Müller, ...
2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES …, 2018
Glaucoma diagnosis from eye fundus images based on deep morphometric feature estimation
OJ Perdomo, V Andrearczyk, F Meriaudeau, H Müller, FA González
Computational pathology and ophthalmic medical image analysis, 319-327, 2018
A lightweight deep learning model for mobile eye fundus image quality assessment
AD Pérez, OJ Perdomo, FA González
15th International Symposium on Medical Information Processing and Analysis …, 2020
A Systematic Review of Deep Learning Methods Applied to Ocular Images
OJ Perdomo, FA González
Ciencia e Ingeniería Neogranadina 30 (1), 2019
Combining morphometric features and convolutional networks fusion for glaucoma diagnosis
OJ Perdomo, J Arevalo, FA González
13th International Conference on Medical Information Processing and Analysis …, 2017
Determining the scale of image patches using a deep learning approach
S Otálora, OJ Perdomo, M Atzori, M Andersson, L Jacobsson, M Hedlund, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
3D deep convolutional neural network for predicting neurosensory retinal thickness map from spectral domain optical coherence tomography volumes
OJ Perdomo, HA Rios, FJ Rodríguez, FA González
14th International Symposium on Medical Information Processing and Analysis …, 2018
Supervised online matrix factorization for histopathological multimodal retrieval
VH Contreras, JS Lara, OJ Perdomo, FA González
14th International Symposium on Medical Information Processing and Analysis …, 2018
Pilot study: Assessing repeatability of the EcoWalk platform resistive pressure sensors to measure plantar pressure during barefoot standing
M Zequera, OJ Perdomo, C Wilches, P Vizcaya
Journal of Physics: Conference Series 450 (1), 012029, 2013
Hybrid deep learning gaussian process for diabetic retinopathy diagnosis and uncertainty quantification
S Toledo-Cortés, M De La Pava, OJ Perdomo, FA González
International Workshop on Ophthalmic Medical Image Analysis, 206-215, 2020
Simultaneous measurement of trunk orientation and centre of pressure for postural stability evaluation
G Šeketa, G Ortiz, C Wilches, OJ Perdomo, L Celić, I Lacković, M Zequera, ...
6th European Conference of the International Federation for Medical and …, 2015
A conditional generative adversarial network-based method for eye fundus image quality enhancement
AD Pérez, OJ Perdomo, H Rios, F Rodríguez, FA González
International Workshop on Ophthalmic Medical Image Analysis, 185-194, 2020
Morphological analysis of T-wave in vectorcardiographic leads system by a bi-Gaussian approach in patients under effect of salbutamol
OJ Perdomo, EJ Robinson, DOH Suzuki, SR Heller, JLB Marques
2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012
Clustering Proposal Support for the COVID-19 Making Decision Process in a Data Demanding Scenario
AD Orjuela-Cañon, OJ Perdomo
IEEE Latin America Transactions 19 (6), 1041-1049, 2021
Machine Learning Approach for Fatigue Estimation in Sit-to-Stand Exercise
A Aguirre, MJ Pinto, CA Cifuentes, OJ Perdomo, ...
Sensors 21 (5006), 31, 2021
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