Synopsis of recent research by authors named "Berkan Solmaz"
- Berkan Solmaz's research emphasizes the integration of advanced imaging techniques and machine learning methods to improve diagnostic accuracy and analytical capabilities in various medical contexts, particularly focusing on cancer imaging and traumatic brain injuries
- His studies include the evaluation of radiomics software for classifying CT images in pancreatic ductal adenocarcinoma, showcasing the effectiveness of both commercially available and in-house solutions
- Solmaz has also made significant contributions to understanding brain connectivity and behavioral differences through innovative metrics like the Disruption Index of the Structural Connectome (DISC), as well as techniques for identifying crowd behaviors through dynamical systems analysis
