Pinned Repositories
3D-Grad-CAM
This repo contains Grad-CAM for 3D volumes.
3D-Medical-Imaging-Preprocessing-All-you-need
This Repo Will contain the Preprocessing Code for 3D Medical Imaging
3DCNNs_TF2Modelhub
Almost all the deeplearning libraries provide ready to use 2D models with/without imagenet weights, But In the case of 3D, CNN models are not as available. This repo will contain commonly used 2D CNNs 3D implementations.
3DUnet_tensorflow2.0
This Repo is for implementation of 3D unet in Tensorflow 2.0v
AmazonS3UploadFileDemo
Demo to show how to Upload a file to Amazon S3 from ASP.Net
Automated-Cardiac-Segmentation-and-Disease-Diagnosis
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Beginner-Network-Pentesting
Notes for Beginner Network Pentesting Course
bootstrap-datetimepicker
Date/time picker widget based on twitter bootstrap
bootstrap-glyphicons-fonts
Alternative SCSS/CSS for GLYPHICONS PRO 1.9.2 fonts
Brain-segmentation
IBSR18
emeneos's Repositories
emeneos/3D-Grad-CAM
This repo contains Grad-CAM for 3D volumes.
emeneos/3D-Medical-Imaging-Preprocessing-All-you-need
This Repo Will contain the Preprocessing Code for 3D Medical Imaging
emeneos/3DCNNs_TF2Modelhub
Almost all the deeplearning libraries provide ready to use 2D models with/without imagenet weights, But In the case of 3D, CNN models are not as available. This repo will contain commonly used 2D CNNs 3D implementations.
emeneos/3DUnet_tensorflow2.0
This Repo is for implementation of 3D unet in Tensorflow 2.0v
emeneos/Automated-Cardiac-Segmentation-and-Disease-Diagnosis
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
emeneos/Beginner-Network-Pentesting
Notes for Beginner Network Pentesting Course
emeneos/Brain-Tissue-Segmentation-Using-Deep-Learning-Pipeline-NeuroNet
This Repository is for the MISA Course final project which was Brain tissue segmentation. we adopt NeuroNet which is a comprehensive brain image segmentation tool based on a novel multi-output CNN architecture which has been trained and tuned using IBSR18 dataset
emeneos/codegenerator
emeneos/Design-an-inverse-kinematic-controller-to-move-end-effector-
Design an inverse kinematic controller to move end-effector. This work is done as a coursework for the 2nd semester of MAIA in Introduction to Robotics course.
emeneos/DistributedMaia
emeneos/Distributedtest
emeneos/DnD
Kyle's DnD stuff
emeneos/keras-unet-collection
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
emeneos/linkedin-skill-assessments-quizzes
Full reference of linkedin answers for skill assessments, linkedin test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-poin, excel ...) ответы на квиз, LinkedIn quiz lösungen, linkedin quiz las respuestas
emeneos/machinelearning
emeneos/matlab
Repo con codigo para MRI DWI image processing
emeneos/mlcourse.ai
Open Machine Learning Course
emeneos/ModernRobotics
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
emeneos/mtl
emeneos/Practice4
emeneos/recoop-git
emeneos/reptrial
emeneos/RoboticsMaia
emeneos/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
emeneos/soft-engineering-tp1
class sep16
emeneos/softEngClasses
emeneos/test
emeneos/testResources
emeneos/Tp2SoftEng
emeneos/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature
This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)