dhinkris

arterys-covid-classifier

COVID-19 classifier

awesome-reactnative-ui

Awesome React Native UI components updated weekly

DGNet

Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation

fetal-brain-extraction

fmri-connectivity-toolbox

Fetal connectivity toolbox

hippocampal-volume-quantification-in-alzheimer-progression

Quantifying Hippocampus Volume for Alzheimer's Progression Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder that results in impaired neuronal (brain cell) function and eventually, cell death. AD is the most common cause of dementia. Clinically, it is characterized by memory loss, inability to learn new material, loss of language function, and other manifestations. For patients exhibiting early symptoms, quantifying disease progression over time can help direct therapy and disease management. A radiological study via MRI exam is currently one of the most advanced methods to quantify the disease. In particular, the measurement of hippocampal volume has proven useful to diagnose and track progression in several brain disorders, most notably in AD. Studies have shown a reduced volume of the hippocampus in patients with AD. The hippocampus is a critical structure of the human brain (and the brain of other vertebrates) that plays important roles in the consolidation of information from short-term memory to long-term memory. In other words, the hippocampus is thought to be responsible for memory and learning (that's why we are all here, after all!) Hippocampus Source: Life Science Databases (LSDB). Hippocampus. Images are from Anatomography maintained by Life Science Databases (LSDB). (2010). CC-BY-SA 2.1jp. Link Humans have two hippocampi, one in each hemisphere of the brain. They are located in the medial temporal lobe of the brain. Fun fact - the word "hippocampus" is roughly translated from Greek as "horselike" because of the similarity to a seahorse observed by one of the first anatomists to illustrate the structure, but you can also see the comparison in the following image. Seahorse & Hippocampus Source: Seress, Laszlo. Laszlo Seress' preparation of a human hippocampus alongside a sea horse. (1980). CC-BY-SA 1.0. Link According to Nobis et al., 2019, the volume of hippocampus varies in a population, depending on various parameters, within certain boundaries, and it is possible to identify a "normal" range taking into account age, sex and brain hemisphere. You can see this in the image below where the right hippocampal volume of women across ages 52 - 71 is shown. Nomogram - Female, Right Hippocampus Volume, Corrected for Head Size Source: Nobis, L., Manohar, S.G., Smith, S.M., Alfaro-Almagro, F., Jenkinson, M., Mackay, C.E., Husain, M. Hippocampal volume across age: Nomograms derived from over 19,700 people in UK Biobank. Neuroimage: Clinical, 23(2019), pp. 2213-1582. There is one problem with measuring the volume of the hippocampus using MRI scans, though - namely, the process tends to be quite tedious since every slice of the 3D volume needs to be analyzed, and the shape of the structure needs to be traced. The fact that the hippocampus has a non-uniform shape only makes it more challenging. Do you think you could spot the hippocampi in this axial slice below? Axial slice of an MRI image of the brain As you might have guessed by now, we are going to build a piece of AI software that could help clinicians perform this task faster and more consistently. You have seen throughout the course that a large part of AI development effort is taken up by curating the dataset and proving clinical efficacy. In this project, we will focus on the technical aspects of building a segmentation model and integrating it into the clinician's workflow, leaving the dataset curation and model validation questions largely outside the scope of this project.

Image-Quality-Evaluation

In multi-center clinical trials, attribute-based quality evaluation is one of the quality control proceedures to assess, normalize and standardize the diagnostic information contained in medical image data from different imaging system manufacturers, different clinical trial sites, and different acquisition protocols before they are fed to automated image analysis systems.

iris-design

iris-server

medical-imaging

Medical Image Processing Techniques

dhinkris/javascript

JavaScript Style Guide

dhinkris/neurodocker

Generate custom Docker images and minimize existing containers

dhinkris/cbrain

CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.

dhinkris/python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

dhinkris/deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

dhinkris/react-virtualized

React components for efficiently rendering large lists and tabular data

dhinkris/python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

dhinkris/cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

dhinkris/ChRIS_ultron_backEnd

Back end for ChRIS Ultron.

dhinkris/DLTK

Deep Learning Toolkit for Medical Image Analysis

dhinkris/threejs-atlas-viewer

This repository hosts the files for an atlas viewer application.

dhinkris/gl-volume3d-demo

Volume rendering using isosurfaces and raymarching

dhinkris/YOLO3D

3D YOLO Implementation in TensorFlow

dhinkris/scipy2017-notebook

Jupyter notebook for the paper Scipy 2017

dhinkris/brainbrowser-minimal-example

Minimal BrainBrowser example, BrainBrowser -- https://brainbrowser.cbrain.mcgill.ca

dhinkris/nbpapaya

View brain images in the ipython notebook using papaya.js

dhinkris/sensors

dhinkris/statistical-analysis

dhinkris/eeg_sleep_stage_prediction

dhinkris/react-js-tutorials

Code that goes along with my YouTube React JS Series

dhinkris/portfolio

MoneyABCs-A source of Financial Literacy

dhinkris/medical-imaging

Medical Image Processing Techniques

dhinkris/data-visualization

dhinkris/poisson_disk_sampling

Poisson disk sampling for brain parcellations

dhinkris/deep-learning-python

dhinkris/twitter-facebook-analytics

dhinkris/X

The X Toolkit

dhinkris/data-mining

Prediction of patient's readmission status

dhinkris/haar-cascade

Image Processing using Matlab and Python OpenCV

dhinkris/software-carpentary

Contents of SWC