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Oscar J. Perdomo
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- affiliation: National University of Colombia, Bogota
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2020 – today
- 2024
- [c11]Camilo A. Tenjo, Paula C. Moreno, Oscar J. Perdomo:
ViT-Based Automated Detection of Cervical Intraepithelial Neoplasia in Colposcopy Images. SIPAIM 2024: 1-4 - 2023
- [j7]Oscar J. Perdomo, Andrés Rivera
, John A. Arredondo, Nelson Castañeda:
Periodic Oscillations in a \(2{N}\) -Body Problem. SIAM J. Appl. Dyn. Syst. 22(2): 744-764 (2023) - [c10]Juan A. Castillo-M
Usability, Habitability and Cab Performance in Heavy Surface Mining Trucks. HCI (38) 2023: 247-254 - 2022
- [j6]Jefferson Sarmiento-Rojas
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 22(22): 8979 (2022) - [c9]Michael Stiven Ramirez Campos
Bioactivity Predictors for the Inhibition of Staphylococcus Aureus Quinolone Resistance Protein. WEA 2022: 31-40 - [i3]Jose Miguel Arrieta Ramos, Oscar J. Perdomo, Fabio A. González:
Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection. CoRR abs/2208.02408 (2022) - 2021
- [j5]Oscar J. Perdomo, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
Entanglement types for two-qubit states with real amplitudes. Quantum Inf. Process. 20(3): 1-12 (2021) - [j4]Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
Robust implementation of generative modeling with parametrized quantum circuits. Quantum Mach. Intell. 3(1): 1-10 (2021) - [j3]Andrés Aguirre, María J. Pinto Bernal
Machine Learning Approach for Fatigue Estimation in Sit-to-Stand Exercise. Sensors 21(15): 5006 (2021) - [j2]María J. Pinto Bernal
A Data-Driven Approach to Physical Fatigue Management Using Wearable Sensors to Classify Four Diagnostic Fatigue States. Sensors 21(19): 6401 (2021) - [i2]Melissa delaPava, Hernán Rios, Francisco J. Rodríguez, Oscar J. Perdomo
A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection. CoRR abs/2110.07745 (2021) - 2020
- [c8]Andrés D. Pérez
A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement. OMIA@MICCAI 2020: 185-194 - [c7]Santiago Toledo-Cortés
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. OMIA@MICCAI 2020: 206-215 - [i1]Santiago Toledo-Cortés, Melissa De La Pava, Oscar J. Perdomo, Fabio A. González:
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. CoRR abs/2007.14994 (2020)
2010 – 2019
- 2019
- [j1]Oscar J. Perdomo
Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography. Comput. Methods Programs Biomed. 178: 181-189 (2019) - 2018
- [c6]Sebastian Otálora, Oscar J. Perdomo
Determining the scale of image patches using a deep learning approach. ISBI 2018: 843-846 - [c5]Oscar J. Perdomo
OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. ISBI 2018: 1423-1426 - [c4]Oscar J. Perdomo
Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. COMPAY/OMIA@MICCAI 2018: 319-327 - 2017
- [c3]Sebastian Otálora, Oscar J. Perdomo
Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images. CVII-STENT/LABELS@MICCAI 2017: 146-154 - [c2]Oscar J. Perdomo
Combining morphometric features and convolutional networks fusion for glaucoma diagnosis. SIPAIM 2017: 105721G - 2012
- [c1]Oscar J. Perdomo
Morphological analysis of T-wave in vectorcardiographic leads system by a bi-Gaussian approach in patients under effect of salbutamol. EMBC 2012: 5494-5497
Coauthor Index
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