A5023356492- Traumatic Brain Injury and Neurovascular Disturbances
- Cerebrovascular and Carotid Artery Diseases
- Acute Ischemic Stroke Management
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Intracranial Aneurysms: Treatment and Complications
- Traffic Prediction and Management Techniques
- Advanced X-ray Imaging Techniques
- Anatomy and Medical Technology
- Cellular Mechanics and Interactions
- Effects of Environmental Stressors on Livestock
- Medical Imaging Techniques and Applications
- Vehicle emissions and performance
- Animal Behavior and Welfare Studies
- Medical Image Segmentation Techniques
- Spinal Fractures and Fixation Techniques
- Orthopaedic implants and arthroplasty
- Traffic and Road Safety
- Neurosurgical Procedures and Complications
- Orthopedic Infections and Treatments
- Cerebral Venous Sinus Thrombosis
- Colorectal Cancer Surgical Treatments
- Human-Animal Interaction Studies
- AI in cancer detection
Universitätsmedizin Göttingen
2024
University of Göttingen
2022
University of Applied Sciences and Arts Hildesheim/Holzminden/Göttingen
2021
RWTH Aachen University
1991-2019
University of Münster
1996
Universitätsklinikum Aachen
1993
We evaluated the influence of time recanalization or degree initial leptomeningeal collateral blood flow in cardioembolic arterio-arterial middle cerebral artery (MCA) occlusion on infarct size and clinical outcome a series 34 consecutive acute stroke patients with main stem (N = 31) major branch 3) occlusions using CT, arteriography 21), repetitive close-meshed transcranial Doppler ultrasonography, neurologic scale. treated 15 tissue plasminogen activator intravenously within first 6 hours....
Pulmonary fibrosis (PF) is a severe and progressive condition in which the lung becomes scarred over time resulting pulmonary function impairment. Classical histopathology remains an important tool for micro-structural tissue assessment diagnosis of PF. A novel workflow based on spatial correlated propagation-based phase-contrast micro computed tomography (PBI-microCT), atomic force microscopy (AFM) was developed applied to two different preclinical mouse models PF - commonly used well...
Histological analysis of hard tissue specimens is widely used in clinical practice and preclinical research, but it remains a labor-intensive destructive process. In particular, resin-embedded tissues present challenges due to the inability target regions interest (ROI), as internal structures are not visible externally. This work proposes guided sectioning workflow that enables precise targeting concealed ROIs using multimodal approach. By combining microCT imaging with an automated cutting...
Precise morphological analysis of tumour tissue samples is crucial for accurate diagnosis and staging colorectal cancer (CRC), but remains limited by the 2D nature conventional histology. Our aim to offer a 3D representation means X-ray-based imaging facilitate evaluation clinically relevant features in tissue, process that currently subject various restrictions. In this study, we show propagation-based synchrotron radiation-based free propagation phase-contrast microcomputed tomography...
The monitoring of farm animals and the automatic recognition deviant behavior have recently become increasingly important in animal science research practical agriculture. aim this study was to develop an approach automatically predict posture sows by using a 2D image-based deep neural network (DNN) for detection localization relevant sow pen features, followed hierarchical conditional statement based on human expert knowledge behavior/posture classification. body parts equipment trained...
Hard-tissue histology-the analysis of thin two-dimensional (2D) sections-is hampered by the opaque nature most biological specimens, especially bone. Therefore, cutting process cannot be assigned to regions interest. In addition, applied cutting-grinding method is characterized significant material loss. As a result, relevant structures might missed or destroyed, and 3D features can hardly evaluated. Here, we present novel workflow, based on conventual microCT scans specimen prior process,...
Intersections with connected infrastructure and vehicle sensors allow observing vulnerable road users (VRU) longer less occlusion than from a moving vehicle. Furthermore, the are providing continuous measurements of VRUs at intersection. Thus, we propose data-driven prediction model, which benefits continuous, local measurements. While most approaches in literature use probable path to predict users, it does not represent uncertainty multiple maneuver options. We Recurrent Neural Networks...