Pinned Repositories
3D-GAN
3D-Medical-Segmentation-GAN
3D Liver Segmentation with GAN
3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
3D-Unet-BraTS-PyTorch
3D U-Net Based Volumetric Segmentation of BraTS MSD 2018 Dataset in PyTorch
3DUnet
Medical images segmentation with 3D UNet GAN
A-to-Z-Resources-for-Students
A to Z Resources for students as well as working proffessionals
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
hamyadkiani's Repositories
hamyadkiani/3D-GAN
hamyadkiani/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
hamyadkiani/3D-Unet-BraTS-PyTorch
3D U-Net Based Volumetric Segmentation of BraTS MSD 2018 Dataset in PyTorch
hamyadkiani/Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
hamyadkiani/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
hamyadkiani/Brain-Tumor-Detection
Brain Tumor Detection Using Convolutional Neural Networks.
hamyadkiani/Brain-Tumor-Segmentation-BRaTS-18
Multimodal Brain Tumor Segmentation
hamyadkiani/Brain-Tumor-Segmentation-UNET
create Brain Tumor Segmentation Launch file
hamyadkiani/Brainy
Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.
hamyadkiani/class.vision
Computer vision and Deep learning
hamyadkiani/Credit-Risk-Model
Credit Risk Model on Machine learning and prediction
hamyadkiani/CS229-Python
Exercises and solutions to Stanford CS229 Machine Learning in Python
hamyadkiani/Data-Augmentation-and-Segmentation-with-GANs-for-Medical-Images
Generating randomized brain MRI images from random noise using a GAN. Additionally translating from one image domain to another with a conditional GAN (pix2pix): Segmenting brain anatomy - Generating brain MRI from the segmentation - Augmenting the translation of image modalities in a limited dataset to perform ischemic stroke segmentation.
hamyadkiani/Data-Science-For-Beginners
Microsoft 10 Weeks, 20 Lessons, Data Science for All!
hamyadkiani/datacamp
A repository that contains courses I have taken on DataCamp
hamyadkiani/DataCamp-1
DataCamp data-science courses
hamyadkiani/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
hamyadkiani/deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
hamyadkiani/Fall-2022-Python-Programming-for-Data-Science
Course page for CS 404/504 Python Programming for Data Science taught in Fall 2022, University of Idaho.
hamyadkiani/FewShot_GAN-Unet3D
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
hamyadkiani/GAN-MRI
Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
hamyadkiani/Generative-Adversarial-Networks-Projects
Generative Adversarial Networks Projects, published by Packt
hamyadkiani/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.
hamyadkiani/k8spatternsexamples
Examples for "Kubernetes Patterns - Reusable Elements for Designing Cloud-Native Applications"
hamyadkiani/Liver-Segmentation-Using-Monai-and-PyTorch
hamyadkiani/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
hamyadkiani/Mastering-Python-for-Networking-and-Security-Second-Edition
Mastering Python for Networking and Security, Second Edition, published by Packt
hamyadkiani/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
hamyadkiani/SegAN
A PyTorch implementation of image segmentation GAN from the paper "SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation".
hamyadkiani/Vox2Vox
Vox2Vox: 3D GAN for image segmentation using tensorflow-keras