Teodora Szasz's repositories
deep_learning_covid-19
Contains the materials for the "Deep Learning for COVID-19 Medical Imaging" workshop
in_situ_visualization_workshop
Repository for "In-situ Visualization: Visualizing Simulation Data as they are Generated" workshop
IntoComputerVisionPython
This is the repository used in our workshop "Introduction to Computer Vision in Python"
4Dsegment
Deep learning cardiac segmentation and motion tracking
arcore-android-sdk
ARCore SDK for Android Studio
COVID-19_prognosis
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
CovidPrognosis
COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations
CVND_Exercises
Exercise notebooks for CVND.
miienlp
MiiENLP Source Code
ospray
An Open, Scalable, Portable, Ray Tracing Based Rendering Engine for High-Fidelity Visualization
python-best-practices
RCC workshop: Best coding practices for Python projects
rad-lab
RAD Lab enables users to deploy infrastructure on Google Cloud Platform (GCP) to support specific use cases. Infrastructure is created and managed through Terraform in conjunction with support scripts written in Python. The templates, code, and documentation for each use case are bundled into modules.
VentricleVolume
Image-based estimation of the heart ventricular volume using deep learning and Gaussian process
zone-segmentation
Segmentation of prostatic zones (peripheral zone, central gland, AFS and distal prostatic urethra )