Computer Vision News - June 2023

28 Congrats, Doctor Andrea! Andrea Lara has recently completed her PhD at the Institute of Health Care Engineering with European Testing Center of Medical Devices (iHCE) at Graz University of Technology under the supervision of Prof. Christian Baumgartner. Her research focused on deep learning-based tools for medical spatiotemporal image processing and analysis. Currently, Andrea is the Director of the biomedical research laboratory (BiomedLab) at Universidad Galileo in Guatemala. Congrats, Doctor Andrea! Recent advances in medical imaging have made possible to improve the acquisition and interpretation of spatiotemporal data. In many medical application areas, temporal information has high diagnostic value, as it provides additional information about the dynamics of physiological mechanisms. However, the analysis of this spatiotemporal information can be a complex and time consuming task. Deep learning techniques have proven to be particularly useful in processing medical image data. While most approaches focus on spatial image information only, innovative image processing techniques based on spatiotemporal imaging are still limited. In her PhD thesis, Andrea introduces deep learning-based methods for the analysis and interpretation of dynamic imaging. Specifically, cardiac and musculoskeletal imaging where temporal information provides insight into the dynamics and physiology that can lead to a more accurate assessment of various conditions. First, she presents a systematic review of the current state of deep learning methods in cardiac imaging using spatiotemporal data and introduces an evaluation scheme to assess their clinical usability [ 1 ] .