Name: Mohamed Ramzy Ibrahim
Type: User
Company: Computer Vision Center, UAB, Barcelona Spain - AASTMT, Alexandria, Egypt
Bio: PhD Student in Computer Vision Center (CVC), UAB, Barcelona, Spain.
Assistant Lecturer in Computer Engineering Department in AASTMT, Alexandria, Egypt
Twitter: moh_ramzy
Location: Alexandria, Egypt
Blog: https://aast.edu/cv.php?disp_unit=&ser=162200
Mohamed Ramzy Ibrahim's Projects
A 100 Day ML Challenge to learn and implement ML/DL concepts ranging from the basics of Machine Learning to advanced Deep Learning.
Code, scripts, and viewable notebooks for the manuscript, "Seeing through brain fog: disentangling the cognitive, physical, and mental health sequelae of COVID-19."
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
Solution to Proba-V Super Resolution
My assignment soultions to the AI for Medicine Specialization course from coursera
List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Collect super-resolution related papers, data, repositories
An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
BCDU-Net : Medical Image Segmentation
Brain Tumor Segmentation done using U-Net Architecture.
Centroid-UNet is deep neural network model to detect centroids from satellite images.
Deep learning for multi-modal classification of cloud, shadow and land cover scenes in high-resolution satellite imagery
This repository contains the code and models from the paper "Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding".
Toolkit for dacl10k dataset (dacl-challenge at WACV2024)
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).
ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
Examples of using deep learning in Bioinformatics
A list of deep learning implementations in biology
CVPR 2019: Fluorescence Microscopy Denoising (FMD) dataset
DocEnTr: An end-to-end document image enhancement transformer
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Edge Restoration Quality Assessment