© @ukb bonn
Dr. rer. nat. Tzung-Chien Hsieh
Affiliations
- IGSB
Research topics
- Next-generation phenotyping for rare disorders
- Deep Learning and Image Analysis
- Bioinformatics
I am the principal investigator dedicated to advancing next-generation phenotyping approaches for the analysis of rare disorders. My recent publication, GestaltMatcher in Nature Genetics, marks a significant milestone in this endeavor. Presently, my team and I are actively developing the GestaltMatcher Database, with the overarching goal of providing support for individuals with rare disorders across diverse populations.
Selected publications
- Axel Schmidt, Magdalena Danyel, Kathrin Grundmann, Theresa Brunet, Hannah Klinkhammer, Tzung-Chien Hsieh, …, et al., Next-generation phenotyping integrated in a national framework for patients with ultra-rare disorders improves genetic diagnostics and yields new molecular findings. Nature Genetics (IF:31.7), July 2024
- Hellen Lesmann, Alexander Hustinx, Shahida Moosa, …, Tzung-Chien Hsieh*, GestaltMatcher Database - A global reference for facial phenotypic variability in rare human diseases. Nature Genetics (IF: 31.7), (under review)
- Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter Krawitz, Tzung-Chien Hsieh*, Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles. Winter Conference of Application Computer Vision, January 2023
- Tzung-Chien Hsieh*, et al., GestaltMatcher: Overcoming the limits of rare disease matching using facial phenotypic descriptors. Nature Genetics (IF: 31.7), February 2022
- Tzung-Chien Hsieh*, et al., PEDIA: Prioritization of Exome Data by Image Analysis. Genetics in Medicine (IF:6.6), June 2019
© @ukb bonn
Dr. rer. nat. Tzung-Chien Hsieh
605
Venusberg-Campus 1 Building 11, 2nd Floor
53127 Bonn