Oge Marques
Professor in the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University. Author of "Practical Image and Video Processing Using MATLAB".
Professional Interests: Image Processing, Deep Learning, Medical Image Analysis, Human and Computer Vision
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Have 3 submissions connected to GitHub
Awarded to Oge Marques on 29 Jul 2021
Your submissions received 3 five star ratings
Awarded to Oge Marques on 02 Jul 2021
Your submissions were downloaded 30 or more times in a month
Awarded to Oge Marques on 01 Nov 2019
Publish your first review
Awarded to Oge Marques on 09 Oct 2019
Publish your first submission
Awarded to Oge Marques on 09 Oct 2019
Content Feed
Submitted
Training Deep Neural Networks using a low-code app in MATLAB
Example of how to use MATLAB Deep Network Designer to build deep learning solutions to two different problems: diabetes predicti...
7 months ago | 6 downloads |
Submitted
Deep Learning workflow for computational pathology
Example of how to use MATLAB Experiment Manager to manipulate very large images in the context of computational pathology (CPATH...
8 months ago | 4 downloads |
Submitted
Synthetic skin lesion image generation using GANs
Example of how to use MATLAB to generate synthetic images of skin lesions.
10 months ago | 7 downloads |
Submitted
Explainable AI for Medical Images
Example of how to use MATLAB to produce post-hoc explanations (using Grad-CAM and image LIME) for a medical image classification...
10 months ago | 5 downloads |
Submitted
Managing medical image classification experiments
Example of how to use MATLAB Experiment Manager to test different classifiers for skin lesion classification using transfer lea...
11 months ago | 6 downloads |
Submitted
Scene Classification Using Deep Learning
A scene classification solution using a subset of the MIT Places dataset and a pretrained model, Places365GoogLeNet.
2 years ago | 4 downloads |
Submitted
Image classification using data augmentation
A simple example of a four-class image classifier using a small dataset, with and without data augmentation.
3 years ago | 15 downloads |
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