zapaishchykova

SegmentationReview

Slicer3D extension for rating using Likert-type score Deep-learning generated segmentations, with segment editor functionality. Created to speed up the validation process done by a clinician - the dataset loads in one batch with no need to load masks and volumes separately.

medium-bokeh-viz

MRI-toolkit

Collection of tools for MRI preprocessing for Deep Learning

Depthmap-refinement-upsampling-

Implemention of paper "Spatial-Depth Super Resolution for Range Images" with python

SynthBrainGrow

Repo for the paper "SynthBrainGrow: Synthetic Diffusion Brain Aging for Longitudinal MRI Data Generation in Young People"

3DYolo2

A convolutional neural network approach for 3D images

aerial_pedestrian_detection

AIBoosthackaton

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

CADLab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

Clustering

ICAE code(An Image Clustering Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids and MMD Distance)

cv

DeepDepthDenoising

This repo includes the source code of the fully convolutional depth denoising model presented in https://arxiv.org/pdf/1909.01193.pdf

django-github-actions-aws

demonstrates how to set up a CI/CD Pipeline with GitHub Actions and AWS in a Django project

DKN

DKN code

ExtensionsIndex

Slicer extensions index

librealsense

Intel® RealSense™ SDK

MSG-Net

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

n2d

A deep clustering algorithm. Code to reproduce results for the paper ## N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.

pascal-voc-writer

A python library for generating annotations in the PASCAL VOC format.

pLGG_Segmentation

simple_docker_demo

demo docker container with tensorflow for the learning session

slicer3dUS

The repository for PMSD SS19

streamlit-to-heroku

super-resolution-master

ultimate_posts

Ultimate posts for opendatascience telegram channel

umap

Uniform Manifold Approximation and Projection

UNet-based-Denoising-Autoencoder-In-PyTorch

Cleaning printed text using Denoising Autoencoder based on UNet architecture in PyTorch

yolact

A simple, fully convolutional model for real-time instance segmentation.

zapaishchykova.github.io