Eva Schnider received her masters degree in mathematics from the University of Basel (Switzerland) in 2018. Her thesis focused on novel regularisation methods for inverse problems using the acoustic wave equation in breast tumour detection.
Parallel to her studies, she gained hands-on experience in computer science by working as a professional software engineer and by developing and publishing smartphone apps for leisure.
In November 2018, she started her Ph.D. in the MIRACLE Planning and Navigation group of Prof. Philippe Cattin at the Department of Biomedical Engineering of the University of Basel (Switzerland). During her Ph.D. she will develop deep learning algorithms to automatically detect and label bones in volumetric CT images. The resulting algorithm will then be used in SpectoVR, the group's Virtual Reality surgical planning system.
E. Schnider, A. Horváth, G. Rauter, A. Zam, M. Müller-Gerbl,P.C. Cattin (2020) 3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies. In: Liu M., Yan P., Lian C., Cao X. (eds) Machine Learning in Medical Imaging. MLMI 2020. Lecture Notes in Computer Science, vol 12436. Springer, Cham. read