AQuAFo (GUI for Automated Quality Assessment of Retinal Fundus Photos) is a Graphical User Interface for Windows to estimate the quality of retinal fundus photos automatically.
More information is available here.

Embedded microcontrollers are employed in an increasing number of applications as a target for the implementation of classification systems. This is true, for example, for the fields of sports, automotive, and medical engineering. However, important challenges arise when implementing classification systems on embedded microcontrollers, which is mainly due to limited hardware resources.

With the Embedded Classification Software Toolbox, we present a solution to the two main challenges, namely obtaining a classification system with low computational complexity and, at the same time, high classification accuracy. For the first challenge, we propose complexity measures on the mathematical operation and parameter level, because the abstraction level of the commonly used Landau notation is too high in the context of embedded system implementation. For the second challenge, we present a software toolbox that trains different classification systems, compares their classification accuracy, and finally analyzes the complexity of the trained system.

DynaSL is a collection of tools to analyze sampling strategies and reconstruction algorithms for T1-weighted DCE-MRI. It can be used to:

• compute realistic arterial input and tissue attenuation curves using the popular Tofts model
• perform sampling of a dynamic, analytical phantom along arbitrary trajectories

Further information and downloads can be found here.

Gerbil is an open-source project intended for researchers working with multispectral or hyperspectral images, or researching and educating in color and reflectance. The software consists of a new interactive visualization tool targeted at multispectral and hyperspectral image data, and a toolbox of common algorithms, e.g. for segmentation.

For more information and download visit gerbilvis.org.

The Image Denoising Algorithms Archive contains a collection of commonly used and state-of-the-art denoising algorithms, implemented in Matlab. The algorithms were used and testet at the Pattern Recognition Lab.

Furthermore, data sets for the evaluation of denoising algorithms, which we used in our papers, may be downloaded.

OCTSEG (Optical Coherence Tomography Segmentation and Evaluation GUI) is a 
graphical user interface written in MATLAB for research purposes.

The retinal layers and the blood vessels of retinal OCT scans can be segmented. In addition, tools for the manual correction of the automated segmentations and for the visualization of the data are provided.

Further information is available here.

RabbitCT is an open-source benchmark for C-arm CT FBP reconstruction.

It features a software framework for measuring execution time and calculating reconstruction errors, and a clincal C-arm CT dataset with 496 projections.
For more information please visit rabbitct.com. 

The Range Imaging Toolkit (RITK) provides a powerful yet intuitive software platform that facilitates the development of range image stream applications. RITK puts emphasis on real-time processing of range image streams and proposes the use of a dedicated pipeline mechanism. Furthermore, we introduce a powerful and convenient interface for range image processing on the graphics processing unit (GPU). Being designed thoroughly and in a generic manner, the toolkit is able to cope with the broad diversity of data streams provided by available RI devices and can easily be extended by custom range imaging sensors or processing modules. RITK is an open source project. It is an object-oriented, cross-platform toolkit written in C++, that can be used as a regular library as well as an application framework for rapid development.