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...

Iterative Reconstruction Methods for Accelerating Quantitative Abdominal MRI Abstract Abdominal pathologies, in particular, diffuse liver disorders are affecting a rapidly increasing group of people worldwide. Non-alcoholic Fatty Liver Disease (NAFLD) parallels a global epidemic and is the m...

Handwriting with Focus on Writer Identification and Writer Retrieval Abstract In the course of the mass digitization of historical as well as contemporary sources, an individual examination by means of historical or forensic experts is no longer feasible. A solution could be an automatic han...

Fully Automatic Segmentation of Anatomy and Scar from LGE-MRI Abstract The leading cause of death worldwide are cardiovascular diseases. In addition, the number of patients suffering from heart failure is rising. The underlying cause of heart failure is often a myocardial infarction. For dia...