Pfleiderer-Adrian
PhD student in Computer Science and Research Assistant at the University of Augsburg.
University of AugsburgAugsburg, Germany
Pinned Repositories
aucmedi
a framework for Automated Classification of Medical Images
ITK
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
NuCLS.MIScnn
Nucleus segmentation and analysis of breast cancer using the MIScnn Framework and the NuCLS dataset.
OPC-UA-Connection-TestTool
OPC UA Test Console Connection
Pfleiderer-Adrian
picai_labels
Annotations for the PI-CAI Challenge: Public Training and Development Dataset
pixoo
A library to help you make the most out of your Pixoo 64 (and hopefully soon other Wi-Fi enabled Pixoos)
REDCap-dockerized
This Repository contains a dockerized REDCap Webserver for a fast and easy deployment.
Xnat-Ubuntu
modified dockerized XNAT version for Ubuntu, out of the box.
Pfleiderer-Adrian's Repositories
Pfleiderer-Adrian/Xnat-Ubuntu
modified dockerized XNAT version for Ubuntu, out of the box.
Pfleiderer-Adrian/NuCLS.MIScnn
Nucleus segmentation and analysis of breast cancer using the MIScnn Framework and the NuCLS dataset.
Pfleiderer-Adrian/REDCap-dockerized
This Repository contains a dockerized REDCap Webserver for a fast and easy deployment.
Pfleiderer-Adrian/OPC-UA-Connection-TestTool
OPC UA Test Console Connection
Pfleiderer-Adrian/Pfleiderer-Adrian
Pfleiderer-Adrian/aucmedi
a framework for Automated Classification of Medical Images
Pfleiderer-Adrian/ITK
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Pfleiderer-Adrian/MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Pfleiderer-Adrian/picai_labels
Annotations for the PI-CAI Challenge: Public Training and Development Dataset
Pfleiderer-Adrian/pixoo
A library to help you make the most out of your Pixoo 64 (and hopefully soon other Wi-Fi enabled Pixoos)