Anna-Sophia Hertlein completed her bachelor’s degree in Computer Science at the University of Applied Sciences in Darmstadt in 2016. Subsequently she studied Visual Computing at the Technical University of Darmstadt, specializing in the generation, processing, and analysis of digital images, and graduating as Master of Science in 2020. She completed her Master Thesis dealing with the topic "Random Forests for Automatic Paranasal Sinus and Nasal Cavity Detection in CT Images" in the "Visual Healthcare Technologies" department of the Fraunhofer Institute for Computer Graphics Research IGD in Darmstadt.
In addition, Ms. Hertlein worked as a research assistant in the "Visual Healthcare Technologies" department of Fraunhofer IGD from 2017 to 2020, where she focused, among other things, on automatic segmentation of the frontal sinuses in CT images. Further topics regarded the extension and evaluation of visualization software for doctor-patient communication, as well as the use of artificial neural networks (ANNs) for the segmentation of tumours in medical image data.
Since December 2020, Anna-Sophia Hertlein has been a research associate in the Fraunhofer IGD "Visual Healthcare Technologies" department, where she is engaged in the "Early Diagnosis of Subclinical Arthritis" project of the Fraunhofer Cluster of Excellence Immune-Mediated Diseases (CIMD). She is currently working on the longitudinal analysis of radiological image data of patients with psoriatic arthritis.