Pinned Repositories
ACDC2017
Asan-HeLP-Challenge-2018
2nd place solution for Asan HeLP Challenge 2018(Cardiac Segmentation)
Automated-Cardiac-Segmentation-and-Disease-Diagnosis
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
CapsNetsLASeg
Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI
cardiac-segmentation
Convolutional Neural Networks for Cardiac Segmentation
cardiac-segmentation-1
Right Ventricle Cardiac MRI Segmentation
Cardiac-Segmentation-Unet
Deep learning has found it's use in the medical imaging community for diagnostic and post processing methods. One such application is the medical image segmentation using Unet.
Cardiac_MRI_Segmentation
deep-learning
Deep Learning Application Examples
dynamic
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
AmelLaidi's Repositories
AmelLaidi/ACDC2017
AmelLaidi/Asan-HeLP-Challenge-2018
2nd place solution for Asan HeLP Challenge 2018(Cardiac Segmentation)
AmelLaidi/Automated-Cardiac-Segmentation-and-Disease-Diagnosis
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
AmelLaidi/CapsNetsLASeg
Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI
AmelLaidi/cardiac-segmentation
Convolutional Neural Networks for Cardiac Segmentation
AmelLaidi/cardiac-segmentation-1
Right Ventricle Cardiac MRI Segmentation
AmelLaidi/Cardiac-Segmentation-Unet
Deep learning has found it's use in the medical imaging community for diagnostic and post processing methods. One such application is the medical image segmentation using Unet.
AmelLaidi/Cardiac_MRI_Segmentation
AmelLaidi/deep-learning
Deep Learning Application Examples
AmelLaidi/dynamic
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
AmelLaidi/image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
AmelLaidi/learn2learn
A PyTorch Library for Meta-learning Research
AmelLaidi/LiviaNET
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
AmelLaidi/LV-segmentation-in-cardiac-MRI
semi-automatic segmentation of LV in cardiac MR images
AmelLaidi/Medical-Image-Analysis
Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable models
AmelLaidi/model_development_2_models
Materials for the AFRICAI 2023 summer school 2nd Model Development session
AmelLaidi/MONAI
AI Toolkit for Healthcare Imaging
AmelLaidi/Nifti.NET
A basic library for reading, writing and manipulating NIfTI files.
AmelLaidi/Resume
AmelLaidi/rv_segmentation
Reproduction of the Chuck-Hou Yee's "Cardiac MRI Segmentation" project for learning purposes.
AmelLaidi/SegNetCMR
A Tensorflow implementation of SegNet for cardiac MRI segmentation
AmelLaidi/ukbb_cardiac
Some code for processing and analysing UK Biobank cardiac MR images.