Oscar J. Perdomo

Orcid: 0000-0001-9493-2324

Affiliations:
  • National University of Colombia, Bogota


According to our database1, Oscar J. Perdomo authored at least 19 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Periodic Oscillations in a \(2{N}\) -Body Problem.
SIAM J. Appl. Dyn. Syst., June, 2023

Usability, Habitability and Cab Performance in Heavy Surface Mining Trucks.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2023

2022
Proposal of Design and Innovation in the Creation of the Internet of Medical Things Based on the CDIO Model through the Methodology of Problem-Based Learning.
Sensors, 2022

Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection.
CoRR, 2022

Bioactivity Predictors for the Inhibition of Staphylococcus Aureus Quinolone Resistance Protein.
Proceedings of the Applied Computer Sciences in Engineering, 2022

2021
A Data-Driven Approach to Physical Fatigue Management Using Wearable Sensors to Classify Four Diagnostic Fatigue States.
Sensors, 2021

Machine Learning Approach for Fatigue Estimation in Sit-to-Stand Exercise.
Sensors, 2021

Robust implementation of generative modeling with parametrized quantum circuits.
Quantum Mach. Intell., 2021

Entanglement types for two-qubit states with real amplitudes.
Quantum Inf. Process., 2021

A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection.
CoRR, 2021

2020
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

2019
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.
Comput. Methods Programs Biomed., 2019

2018
Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Determining the scale of image patches using a deep learning approach.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Combining morphometric features and convolutional networks fusion for glaucoma diagnosis.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

2012
Morphological analysis of T-wave in vectorcardiographic leads system by a bi-Gaussian approach in patients under effect of salbutamol.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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