Pinned Repositories
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--Tensorflow
3D Unet for Isointense Infant Brain Image Segmentation
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Epileptic-Seizure-Detection
Epileptic Seizure Detection: A Deep Learning Approach
Epileptic-Seizure-Prediction
This repository demonstrates how to accurately predict the Time-series EEG data for Epileptic Seizure Prediction
MRI-to-PET-Translation
3D encoder-decoder networks to predict Brain PET from multi-contrast MRI
Robust_PD_Detection
This repository demonstrates how to accurately recognize the different types of acoustic PD signals in noisy environments. The results are very interesting; the proposed method achieves classification accuracies in the range 99.33%-100.00% for noise-corrupted data of SNR -40:30dB.
SC-GAN
SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis
Simple_PD_Classification
This Repository includes the codes and discussions that are related to the conference paper entitled "Computationally Efficient Detection Method for Acoustic Partial Discharge Signals".
ramyh's Repositories
ramyh/MRI-to-PET-Translation
3D encoder-decoder networks to predict Brain PET from multi-contrast MRI
ramyh/Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
ramyh/SC-GAN
SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis
ramyh/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).
ramyh/3D-Unet--Tensorflow
3D Unet for Isointense Infant Brain Image Segmentation
ramyh/3D-unet-keras-Brats2019
3D Unet biomedical segmentation model for BraTS2019
ramyh/3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
ramyh/auto_annotate
ramyh/Breast-Cancer-Detection
AI app to detect breast cancer in histopathological database
ramyh/Data-Structures-and-Algorithms
Data Structures and Algorithms in Python
ramyh/DeepBrainSeg
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
ramyh/Detecting-Pneumonia-in-Chest-X-Rays
A Computer Vision model made in PyTorch that detects Pneumonia in Chest X-Rays
ramyh/dl_tutor
ramyh/HRNet-Semantic-Segmentation
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
ramyh/insightface
State-of-the-art 2D and 3D Face Analysis Project
ramyh/LeetCode-3
:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions
ramyh/Leetcode-in-python-50-Algorithms-Coding-Interview-Questions
Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy
ramyh/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
ramyh/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ramyh/mmdetection_object_detection_demo
How to train an object detection model with mmdetection
ramyh/models
Models and examples built with TensorFlow
ramyh/PathomicFusion
Fusing Histology and Genomics via Deep Learning.
ramyh/run-vnet-keras
Bash and python scripts to run a keras-implemented V-Net 3D segmentation model.
ramyh/SDV
Synthetic Data Generation for tabular, relational, time series data.
ramyh/shapash
Shapash makes Machine Learning models transparent and understandable by everyone
ramyh/slice_image_with_annotations
Slice a image into tiles and recalculates the annotations coordinates and saves them into separate files
ramyh/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ramyh/taming-transformers
ramyh/vnet-tensorflow
Implementation of vnet in tensorflow for medical image segmentation
ramyh/ZTM-DS-and-Algo-Python
Contains all the code samples from the Zero to Mastery : Master the Coding Interview - Data Structures + Algorithms course by Andrei Neagoie, in Python.