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echo-mimiciii

Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database

echo-syncnet

echocardiography-analysis

Machine Learning Project 4

echocardiography-segmentation

Echocardiography-Segmentation

eegclassification

Binary classification of EEG motor imagery data using deep learning

explainable-cnn

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

face-detection

Face detection streamlit app using cascade classifiers

face_lib

Face Library is a 100% python open source package for accurate and real-time face detection and recognition. The package is built over OpenCV and using famous models and algorithms for face detection and recognition tasks. Make face detection and recognition with only one line of code. The Library doesn't use heavy frameworks like TensorFlow, Keras and PyTorch so it makes it perfect for production.

fedcv

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks

fetalnav

Fetal Region Localisation using PyTorch and Soft Proposal Networks (paper: https://arxiv.org/abs/1808.00793)

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

fodf_deep_learning

Learning to estimate fODF

functionnectome

Project your functional brain signal onto the white matter, and explore the pathways supporting brain functions.

gangealing

Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment (CVPR 2022 Oral)

geisinger-echo-mortality

Demo of Geisinger's trained models applied to Stanford Ouyangs Dataset

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gif_nifti

Modified from https://github.com/miykael/gif_your_nifti

glioma-classification

The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.

hcp-diffusion-dcm

Scripts used in Experiment 2 of my PhD, using tractography and DCM on the HCP dataset

heart-disease-classifier-web-app

Heart disease classifier web app

hecktor

ideal-computing-machine

Semantic Segmentation using PyTorch DeepLabV3 ResNet50

image-segmentation-u-net-basic-model-

image_segmentation_unet_v2_my

In this project, I used U-Net architecture. U-Net is able to do image localization by predicting the image pixel by pixel. This architecture used transposed convolution upsampling technique that expands the size of images. Object detection labels objects with bounding boxes may include pixels that aren't part of the object, and semantic image segmentation allows you to predict a precise mask for each object in the image by labeling each pixel in the image with its corresponding class.

looming_dope

lstm_multi_modal_unet

Implementation of ICIVC 2019 paper "LSTM multi-modal UNet for Brain Tumor Segmentation"

lvh

EchoNet-LVH is a deep learning model that quantifies ventricular hypertrophy and predicts etiologies of increased wall thickness and LVH (amyloidosis, HCM, etc).

machinelearning-ai

This repository contains all the work that I regularly did and studied from Medium blogs, various research papers, and other Repos.

manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation