Pinned Repositories
3D-GuidedGradCAM-for-Medical-Imaging
This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.
3DVAE-SwapDisentangled
Code of "3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces"
anomagram
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
anomaly_detection
This is the official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".
Autoencoders_Experiments
Experiments for autoencoders
classification_models_3D
Set of models for classifcation of 3D volumes
CTFSH
Code for the paper CTFSH: Full Head CT Anomaly Detection with Unsupervised Learning
CTseg
Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.
ddsm
Digital Database for Digital Mammography Software
Deep-learning-with-Python
Deep learning codes and projects using Python
hanemma7moud's Repositories
hanemma7moud/classification_models_3D
Set of models for classifcation of 3D volumes
hanemma7moud/3D-GuidedGradCAM-for-Medical-Imaging
This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.
hanemma7moud/3DVAE-SwapDisentangled
Code of "3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces"
hanemma7moud/anomagram
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
hanemma7moud/anomaly_detection
This is the official implementation of "Anomaly Detection with Deep Perceptual Autoencoders".
hanemma7moud/Autoencoders_Experiments
Experiments for autoencoders
hanemma7moud/CTFSH
Code for the paper CTFSH: Full Head CT Anomaly Detection with Unsupervised Learning
hanemma7moud/CTseg
Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.
hanemma7moud/ddsm
Digital Database for Digital Mammography Software
hanemma7moud/Deep-learning-with-Python
Deep learning codes and projects using Python
hanemma7moud/DenseNetFCN-3D
A 3D implementation of DenseNet & DenseNetFCN
hanemma7moud/end2end-all-conv
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
hanemma7moud/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
hanemma7moud/Matplot-lib-Basics
Matplot lib Basics. Ipython Notebook
hanemma7moud/mylangue
hanemma7moud/nobrainer
A framework for developing neural network models for 3D image processing.
hanemma7moud/Pandas-basics
Pandas basics.
hanemma7moud/PatternFlow
Pattern recognition and image processing library for Tensorflow
hanemma7moud/pyimgaug3d
hanemma7moud/python-3d-image-augmentation
hanemma7moud/Python-and-Numpy-Basics
Basics of Python and Numpy .
hanemma7moud/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
hanemma7moud/pytorch-triplet-loss
Triplet-net and triplet loss implementation on pytorch
hanemma7moud/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
hanemma7moud/signver
Signature Verification
hanemma7moud/similarity-TF
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
hanemma7moud/tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
hanemma7moud/tensorflow-triplet-loss
Implementation of triplet loss in TensorFlow
hanemma7moud/Triplet-net-keras
Implementation of Triplet Neural Network on keras
hanemma7moud/uniformizing-3D
[MICCAI'2020 PRIME] Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Severity Estimation.