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Oscar J. Perdomo
Titolo
Citata da
Citata da
Anno
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
852018
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
712019
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
662016
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I
AL Martel, P Abolmaesumi, D Stoyanov, D Mateus, MA Zuluaga, SK Zhou, ...
Springer Nature, 2020
622020
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
592018
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
492017
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
362018
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part II
D Shen, T Liu, TM Peters, LH Staib, C Essert, S Zhou, PT Yap, A Khan
Springer Nature, 2019
352019
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
342016
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
252020
A Systematic Review of Deep Learning Methods Applied to Ocular Images
OJ Perdomo, FA González
Ciencia e Ingeniería Neogranadina 30 (1), 2019
24*2019
Multi-task deep learning for glaucoma detection from color fundus images
L Pascal, OJ Perdomo, X Bost, B Huet, S Otálora, Zuluaga, M A.
Scientific Reports 12 (12361), 10, 2022
222022
Machine Learning Approach for Fatigue Estimation in Sit-to-Stand Exercise
A Aguirre, MJ Pinto, CA Cifuentes, OJ Perdomo, ...
Sensors 21 (5006), 31, 2021
202021
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
172020
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
152020
A Data-Driven Approach to Physical Fatigue Management Using Wearable Sensors to Classify Four Diagnostic Fatigue States
MJ Pinto-Bernal, CA Cifuentes, OJ Perdomo, M Rincón-Roncancio, ...
Sensors 21 (19), 6401, 2021
122021
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
82018
A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection
M de la Pava, H Ríos, FJ Rodríguez, OJ Perdomo, FA González
17th International Symposium on Medical Information Processing and Analysis …, 2021
6*2021
Segmentation of retinal fluids and hyperreflective foci using deep learning approach in optical coherence tomography scans
YD Sanchez, B Nieto, FD Padilla, OJ Perdomo, FA González
16th International Symposium on Medical Information Processing and Analysis …, 2020
62020
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
62017
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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