| 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 | 92 | 2018 |
| 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 | 78 | 2019 |
| 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 | 68 | 2016 |
| 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 | 65 | 2020 |
| 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 | 62 | 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 | 50 | 2017 |
| 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 | 43 | 2019 |
| 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 | 36 | 2018 |
| 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 | 36 | 2016 |
| 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 | 27 | 2020 |
| Machine Learning Approach for Fatigue Estimation in Sit-to-Stand Exercise A Aguirre, MJ Pinto, CA Cifuentes, OJ Perdomo, ... Sensors 21 (5006), 31, 2021 | 26 | 2021 |
| A Systematic Review of Deep Learning Methods Applied to Ocular Images OJ Perdomo, FA González Ciencia e Ingeniería Neogranadina 30 (1), 2019 | 26* | 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 | 22 | 2022 |
| 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 | 19 | 2020 |
| 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 | 17 | 2021 |
| 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 | 17 | 2020 |
| 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 | 8 | 2018 |
| 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 | 7* | 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 | 6 | 2020 |
| 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 | 6 | 2017 |
Fabio GonzalezFull Professor, Comp. Systems and Industrial Eng. Dept, National University of Colombia在 unal.edu.co 的电子邮件经过验证
