We just received news that we are able to continue our project on material characterisation using machine learning for another two years. DFG will fund the use of deep learning procedures to determine the forming limits of metal sheets with approximately 150,000 EUR. The project is conducted in coo...

Category: News

Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography Cone-beam computed tomography (CBCT) is a widely used imaging technology for medical diagnosis and interventions nowadays. Compared with conventional 2-D X-ray images, 3-D volumes reconstructed by CBCT p...

Category: Ph.D. Gallery

We are proud to announce that Bayerische Forschungsallianz will support a project between the McGill University and FAU Erlangen-Nuremberg on Dual Energy Imaging. Aim of the project is to enable easy access to dual energy image data and to further improve its clinical use. PIs are Reza Forghani at ...

Category: News

It is a great pleasure to announce our new DFG Project on multimodal scanning of manuscripts. In the project, we will investigate joint scanning of books using X-ray, X-ray Darkfield, and Terahertz Imaging toward investigating whether their joint use enables further insights into inaccessible histo...

Category: News

On January 24th, Prof. Martin Langner from the University of Göttingen will give a talk in our lab. Title: Mustererkennung als geisteswissenschaftliche Methode: Aktuelle Projekte des Instituts für Digital Humanities in GöttingenTime: 09:00 on January 24thRoom: H10 Abstract: Eine Reihe von Pro...

Category: News

Robust 2-D/3-D Registration for Real-Time Patient Motion Compensation In interventional radiology, preoperative 3-D images are usually fused with 2-D X-ray images. Fusion of 2-D/3-D images provides additional 3-D information during interventions and an accurate alignment between the 3-D and 2-D ...

Category: Ph.D. Gallery

Computer-aided Diagnosis for Magnetically Guided Capsule Endoscopy Digestive diseases and disorders are diverse with some being more common and of short duration, whereas others may be life threatening if left untreated. They are among the most common problems that people are afflicted with at l...

Category: Ph.D. Gallery

On December 19th, Prof. Colin Studholme from the University of Washington will give a talk in our lab. Title: Big Data From Small Brains: Computational Methods in Studies of Human Fetal Brain DevelopmentTime: 13:00 on December 19thRoom: H10 Abstract:This talk will cover some of the problem ar...

Category: News

C-arm Cone-Beam Computed Tomography Reconstruction for Knee Imaging under Weight-Bearing Conditions Medical imaging is essential for the assessment of osteoarthritis and the overall knee health. For that purpose, radiographs of the knees of standing patients are acquired commonly. These suffer,...

Category: Ph.D. Gallery

Camilo Vasquez, a PhD student of our lab was granted with the best paper award at the Iberoamerican conference on pattern recognition (CIARP 2019) that was held in Havana (Cuba) from 28.10.2019 to 31.10.2019. The award was given by the paper "Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages". The transfer learning scheme aims to improve the accuracy of the models when the weights of a CNN are initialized with utterances from a different language than the used for the test set.

Category: News