Pinned Repositories
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.
ZcompARE
A tool to compare several methods of computing an effective atomic number of compound/mixture materials.
stebaski's Repositories
stebaski/multi-mat-decomp
Framework for multi-triplet material decomposition of dual-energy CT images.
stebaski/daily_arxiv
Using GitHub Action to collect paper list with publicly available source code in the daily arxiv
stebaski/ZcompARE
A tool to compare several methods of computing an effective atomic number of compound/mixture materials.
stebaski/VICTRE_PIPELINE
Home for the unified VICTRE pipeline for in silico breast imaging.
stebaski/Trainable_Segmentation
Fiji library to perform image segmentation based on the Weka learning schemes
stebaski/quantitativeimaging_public
Material decomposition, density & effective atomic number, ROI selection tool, and more...
stebaski/TCIA_Notebooks
Notebooks for working with The Cancer Imaging Archive datasets
stebaski/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
stebaski/napari
napari: a fast, interactive, multi-dimensional image viewer for python
stebaski/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.
stebaski/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
stebaski/pypatent
Search for and retrieve US Patent and Trademark Office Patent Data
stebaski/ImageDecomposition-DECT
An image decomposition aloghrithm for Dual-energy Computed Tomography (DECT) based on deep learning.
stebaski/SPRAY
This repository contains Matlab scripts and functions for spectral CT material decomposition