Oscar J. Perdomo

21 papers Journal 10Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	ViT-Based Automated Detection of Cervical Intraepithelial Neoplasia in Colposcopy Images. SIPAIM Camilo A. Tenjo, Paula C. Moreno, Oscar J. Perdomo
2023	J	`jnl`	Periodic Oscillations in a \(2{N}\) -Body Problem. SIAM J. Appl. Dyn. Syst. Oscar J. Perdomo, Andrés Rivera, John A. Arredondo, Nelson Castañeda
2023	—	`conf`	Usability, Habitability and Cab Performance in Heavy Surface Mining Trucks. HCI (38) Juan A. Castillo-M, Oscar J. Perdomo
2022	—	`conf`	Bioactivity Predictors for the Inhibition of Staphylococcus Aureus Quinolone Resistance Protein. WEA Michael Stiven Ramirez Campos, David Alejandro Galeano López, Jorman Arbey Castro Rivera, Diana C. Rodriguez, Oscar J. Perdomo, Alvaro David Orjuela-Cañón
2022	J	`jnl`	Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection. CoRR Jose Miguel Arrieta Ramos, Oscar J. Perdomo, Fabio A. González
2022	J	`jnl`	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 Jefferson Sarmiento-Rojas, Pedro Antonio Aya-Parra, Oscar J. Perdomo
2021	J	`jnl`	A Data-Driven Approach to Physical Fatigue Management Using Wearable Sensors to Classify Four Diagnostic Fatigue States. Sensors María J. Pinto Bernal, Carlos A. Cifuentes, Oscar J. Perdomo, Mónica Rincon-Roncancio, Marcela C. Múnera
2021	J	`jnl`	A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection. CoRR Melissa delaPava, Hernán Rios, Francisco J. Rodríguez, Oscar J. Perdomo, Fabio A. González
2021	J	`jnl`	Entanglement types for two-qubit states with real amplitudes. Quantum Inf. Process. Oscar J. Perdomo, Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
2021	J	`jnl`	Machine Learning Approach for Fatigue Estimation in Sit-to-Stand Exercise. Sensors Andrés Aguirre, María J. Pinto Bernal, Carlos A. Cifuentes, Oscar J. Perdomo, Camilo A. R. Díaz, Marcela C. Múnera
2021	J	`jnl`	Robust implementation of generative modeling with parametrized quantum circuits. Quantum Mach. Intell. Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz, Oscar J. Perdomo
2020	—	`conf`	A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement. OMIA@MICCAI Andrés D. Pérez, Oscar J. Perdomo, Hernán Rios, Francisco J. Rodríguez, Fabio A. González
2020	—	`conf`	Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. OMIA@MICCAI Santiago Toledo-Cortés, Melissa De La Pava, Oscar J. Perdomo, Fabio A. González
2020	J	`jnl`	Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. CoRR Santiago Toledo-Cortés, Melissa De La Pava, Oscar J. Perdomo, Fabio A. González
2019	J	`jnl`	Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography. Comput. Methods Programs Biomed. Oscar J. Perdomo, Hernán Rios, Francisco J. Rodríguez, Juan Sebastian Otálora Montenegro, Fabrice Mériaudeau, Henning Müller, Fabio A. González
2018	—	`conf`	Determining the scale of image patches using a deep learning approach. ISBI Sebastian Otálora, Oscar J. Perdomo, Manfredo Atzori, Mats Andersson, Ludwig Jacobsson, Martin Hedlund, Henning Müller
2018	—	`conf`	Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. COMPAY/OMIA@MICCAI Oscar J. Perdomo, Vincent Andrearczyk, Fabrice Mériaudeau, Henning Müller, Fabio A. González
2018	—	`conf`	OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. ISBI Oscar J. Perdomo, Sebastian Otálora, Fabio A. González, Fabrice Mériaudeau, Henning Müller
2017	—	`conf`	Combining morphometric features and convolutional networks fusion for glaucoma diagnosis. SIPAIM Oscar J. Perdomo, John Edison Arevalo Ovalle, Fabio A. González
2017	—	`conf`	Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images. CVII-STENT/LABELS@MICCAI Sebastian Otálora, Oscar J. Perdomo, Fabio A. González, Henning Müller
2012	—	`conf`	Morphological analysis of T-wave in vectorcardiographic leads system by a bi-Gaussian approach in patients under effect of salbutamol. EMBC Oscar J. Perdomo, Emma J. Robinson, Daniela Ota Hisayasu Suzuki, Simon R. Heller, Jefferson L. B. Marques