stebaski Goto Github PK
Name: Stevan Vrbaski
Type: User
Company: University of Trieste
Bio: Ph.D. student
Stevan Vrbaski's Projects
daily_arxiv
Using GitHub Action to collect paper list with publicly available source code in the daily arxiv
databook_python
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
imagedecomposition-dect
An image decomposition aloghrithm for Dual-energy Computed Tomography (DECT) based on deep learning.
multi-mat-decomp
Framework for multi-triplet material decomposition of dual-energy CT images.
napari
napari: a fast, interactive, multi-dimensional image viewer for python
pypatent
Search for and retrieve US Patent and Trademark Office Patent Data
quantitativeimaging_public
Material decomposition, density & effective atomic number, ROI selection tool, and more...
smlw-causality-tutorial
Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Workshop on Deep Learning and Reinforcement Learning.
spray
This repository contains Matlab scripts and functions for spectral CT material decomposition
tcia_notebooks
Notebooks for working with The Cancer Imaging Archive datasets
trainable_segmentation
Fiji library to perform image segmentation based on the Weka learning schemes
victre_pipeline
Home for the unified VICTRE pipeline for in silico breast imaging.
zcompare
A tool to compare several methods of computing an effective atomic number of compound/mixture materials.
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