Local optimization for natural feature tracking targets. - Elias Tappeiner; Dieter Schmalstieg; Tobias Langlotz (ISMAR, 2014)

TIminer: NGS data mining pipeline for cancer immunology and immunotherapy. - Elias Tappeiner; Francesca Finotello; Pornpimol Charoentong; Clemens Mayer; Dietmar Rieder; Zlatko Trajanoski (Bioinform., 2017)

Urban Pointing: Browsing Situated Media Using Accurate Pointing Interfaces. - Tobias Langlotz; Elias Tappeiner; Stefanie Zollmann; Jonathan Ventura; Holger Regenbrecht (CHI Extended Abstracts, 2018)

Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach. - Elias Tappeiner; Samuel Pröll; Markus Hönig; Patrik F. Raudaschl; Paolo Zaffino; Maria Francesca Spadea; Gregory C. Sharp; Rainer Schubert; Karl D. Fritscher (Int. J. Comput. Assist. Radiol. Surg., 2019)

Training of head and neck segmentation networks with shape prior on small datasets. - Elias Tappeiner; Samuel Pröll; Karl D. Fritscher; Martin Welk; Rainer Schubert (Int. J. Comput. Assist. Radiol. Surg., 2020)

Tackling the class imbalance problem of deep learning-based head and neck organ segmentation. - Elias Tappeiner; Martin Welk; Rainer Schubert (Int. J. Comput. Assist. Radiol. Surg., 2022)

Head and Neck Tumor Segmentation on MRIs with Fast and Resource-Efficient Staged nnU-Nets. - Elias Tappeiner; Christian Gapp; Martin Welk; Rainer Schubert (HNTS-MRG@MICCAI, 2024)

Multimodal Medical Disease Classification with LLaMA II. - Christian Gapp; Elias Tappeiner; Martin Welk; Rainer Schubert (CoRR, 2024)

What are You Looking at? Modality Contribution in Multimodal Medical Deep Learning Methods. - Christian Gapp; Elias Tappeiner; Martin Welk; Karl D. Fritscher; Elke Ruth Gizewski; Rainer Schubert (CoRR, 2025)