Sulaiman Vesal, PhD student at the Pattern Recognition Lab, was awarded the second best work in the STACOM Multi-sequence Cardiac MR Segmentation Challenge at MICCAI 2019. The award was given for the paper: "Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation", whic...

Non-invasive imaging methods are capable of revealing content that is not visible with the naked eye. In this thesis, we present solutions for three common areas of application: digitization of cultural heritage, medicine, and quality assessment. The success story of those approaches is further...

Congratulations to Maniraman Periyasamy, Meike Biendl and Alexander Richter, Jonas Utz, and Henrik Willer for their outstanding achievements in the Deep Learning Challenge 2019! A great success. Please enjoy the backpacks that were donated by Nvidia!

In a cooperation with Marc Kachelriess (DKFZ), Michael Lell (Klinikum Nürnberg Nord) and our lab, we successfully applied for another DFG Project. The aim of the project is to estimate patient-individualised dose for a CT scan using deep learning techniques. In the project, we will unite deep learn...

Real-time Respiratory Motion Analysis Using GPU-accelerated Range Imaging Abstract Respiratory motion analysis and management are crucial issues for a plurality of medical applications. Of particular scientific concern are methods that allow to analyze the patient’s breathing in a non-invasi...

Robust Personalization of Cardiac Computational Models Abstract Heart failure (HF) is a major cause of morbidity and mortality in the Western world, yet early diagnosis and treatment remain a major challenge. As computational cardiac models are becoming more mature, they are slowly evolving...

Respiratory Motion Compensation in X-Ray Fluoroscopy Abstract Fluoroscopy is a common imaging modality in medicine for guidance of minimally invasive interventions due to its high temporal and spatial resolution and the good visibility of interventional devices and bones. To counteract its...

3-D Imaging of Coronary Vessels Using C-arm CT Abstract Cardiovascular disease has become the number one cause of death worldwide. For the diagnosis and therapy of coronary artery disease, interventional C-arm-based fluoroscopy is animaging method of choice.  While these C-arm sys...

Deniz Neufeld, M.Sc. Student at our lab was awarded a Best Poster Award (2nd place) for her contribution titled "Realistic Image Synthesis of Imperfect Specimens using Generative Networks". Her work was done in cooperation with Tobias Schön and Roland Gruber from Fraunhofer EZRT. It introduces a ...

Artificial Intelligence for Medical Image Understanding Abstract Robust and fast detection and segmentation of anatomical structures in medical image data represents an important component of medical image analysis technologies. Current solutions for this problem are nowadays based on machin...