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Teodora Szasz's Projects

4dsegment icon 4dsegment

Deep learning cardiac segmentation and motion tracking

bbr icon bbr

Multimodal non-rigid boundary based registration

brain icon brain

[UNMAINTAINED] Neural networks in JavaScript

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19_prognosis icon covid-19_prognosis

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

covidprognosis icon covidprognosis

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

digitalfilteringalgorithms icon digitalfilteringalgorithms

Based on the FFTReal C++ library, I implemented the following Digital Filters: the FFT Convolution (the best way to compute the convolution), the Low-Pass Filter, High-Pass Filter, Band-Pass Filter, and Band-Stop Filter algorithms. You can find more about the filters in Thesis_TeodoraSzasz.pdf, in the Digital Filtering section.

feature_extraction_workshop_2018 icon feature_extraction_workshop_2018

This repository contains the IPython Notebooks on feature extraction prepared for the "Introduction to Feature Extraction Techniques" workshop

hackthedeep icon hackthedeep

The 4th Annual American Museum of Natural History Hackathon produced by the BridgeUP:STEM initiative

imagepy icon imagepy

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

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