Author: Andreas Maier

Written by Andreas Maier. Traveling in time has always been a dream of mankind. Imagine being able to experience ancient Rome first hand or to move back to the days of our ancestors to experience how people were living at that time. Obviously, such time travel goes well beyond our physical limit...

In order to feature our research to a broad audience, we started the Pattern Recognition Blog. Here you will find reports on projects at the lab, described in an accessible way. The first two entries highlight Known Operator Learning and the recent history of AI. Furthermore, you will also find lin...

Prof. Dr.-Ing. Andreas Maier was formally appointed as a full tenured professor on March 31st, 2020. He is now a professor in Machine Intelligence at the Computer Science Department at Friedrich-Alexander-University Erlangen-Nuremberg and will start on this position on April 1st, 2020. At the same ...

Written by Andreas Maier. Machine learning and in particular deep learning revolutionize the world as we know it today. We have seen tremendous advances in speech and image recognition, followed by the application of deep learning to many other domains. In many of those domains, deep learning is...

Every model is wrong, but some models are useful Written by Andreas Maier. We have seen tremendous progress by artificial intelligence (AI) over the past decades. This progress, however, was not achieved steadily. There were significant ups and downs on the way. In some of these phases, peopl...

Here, we provide two 3-D X-ray CT volumes and the segmented 32 slips of a wooden scroll bought in Beijing. The scroll is made of bamboo with carved writings and drawings. The first scan we made was a initial scan of the scroll without any soiling. As the scrolls are normally found underneath the ea...

Here, we provide the data sets used in our research on multi-sensor super-resolution for hybrid range imaging. In the current state, the database contains synthetic as well as real datasets acquired for different applications and modalities (e.g. hybrid 3-D endoscopy based on Ti...

Here, we present the 25 frames used for situs reconstruction in our MICCAI publication ("3-D Operation Situs Reconstruction With Time-of-Flight Satellite Cameras Using Photogeometric Data Fusion"). The single frames are included as vtk files and the complete sequence with all frames is included as ...

We have created a database of five cell lines in order to assess the performance of cell detection algorithms. The database is composed of more than 3500 cells in 16 images of three real cell lines and 30000 cells in 200 images of two simulated cell lines. Download and more information

RabbitCT is an open-source benchmark for C-arm CT FBP reconstruction. It features a clincal C-arm CT dataset with 496 projections, and a software framework for measuring execution time and calculating reconstruction errors.For more information please visit www.rabbitct.com.