Since 2016
Computer Science PhD Student at ETH Zurich
Research on Healthcare Information System Applications at ETH Zürich.
Researcher in Computer Aided Medical Procedures
Working on Marker-based Tracking Algorithms for Medical Applications at TU Munich.
Technical University of Munich: Master's Degree
Major in Computer Science. Focus on Computer Vision, Biomedical Imaging and Visualisation.
California State University Sacramento: Exchange Fellow
University Scholarship for Studying Abroad.
Tamkang University Taiwan: Bachelor's Degree
Major in Computer Science. Research in Computer Vision and Medical Applications. Graduated as Valedictorian.


Inside-Out Tracking for Flexible Hand-held Nuclear Tomographic Imaging
Tracking systems are used in many medical scenarios for the localization of devices or the patient, for example in intra-operative nuclear imaging. The infrared tracking system commonly used for this purpose is outside-in and often suffers from line of sight issues. To alleviate these, we present the combination of an inside-out tracking technique with a hand-held mini gamma camera and an image reconstruction pipeline to provide 3D SPECT-like images in a compact flexible setup suitable for interventions. As a proof-of-concept we show first results on phantoms mimicking common nuclear medicine procedures, sentinel lymph node biopsy in thyroid and breast cancer. ...
Philipp Matthies, Chen-Hsuan(Iris) Shih, Jakob Vogel, Álvaro Sánchez, Tobias Lasser, Benjamin Frisch, Michael Friebe, Nassir Navab
MICCAI 2015, submitted
Anatomy of BioJS, an open source community for the life sciences
BioJS is an open source software project that develops visualization tools for different types of biological data. Here we report on the factors that influenced the growth of the BioJS user and developer community, and outline our strategy for building on this growth. The lessons we have learned on BioJS may also be relevant to other open source software projects
G. Yachdav, T. Goldberg, S. Wilzbach, D. Dao, I. Shih et al.
eLife 2015

Independent Projects

BioJS is a community-based standard and repository of functional components to represent biological information on the web.
Deep Learning in Action
Deep Learning in Action is a regular speaker series in Munich with 350+ participants about Machine Learning (especially Deep Learning).