Elias Tappeiner

14 papers A* 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond benchmarks: Towards robust artificial intelligence bone segmentation in socio-technical systems.
Expert Syst. Appl.
Kunpeng Xie, Lennart Johannes Gruber, Martin Crampen, Yao Li, André Ferreira, Elias Tappeiner, Maxime Gillot, Jan Schepers, Jiangchang Xu, Tobias Pankert, Michel Beyer, Negar Shahamiri, Reinier ten Brink, Gauthier Dot, Charlotte Weschke, Niels van Nistelrooij, Pieter-Jan Verhelst, Yan Guo, Zhibin Xu, Jonas Bienzeisler, Ashkan Rashad, Tabea Flügge, Ross Cotton, Shankeeth Vinayahalingam, Robert R. Ilesan, Stefan Raith, Dennis Madsen, Constantin Seibold, Tong Xi, Stefaan Berge', Sven Nebelung, Oldrich Kodym, Osku Sundqvist, Florian M. Thieringer, Hans Lamecker, Antoine Coppens, Thomas Potrusil, Joep Kraeima, Max J. H. Witjes, Guomin Wu, Xiaojun Chen, Adriaan Lambrechts, Lucia H. S. Cevidanes, Stefan Zachow, Alexander Hermans, Daniel Truhn, Victor Alves, Jan Egger, Rainer Röhrig, Frank Hölzle, Behrus Hinrichs-Puladi
2026 J jnl
SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR
Jia Fu, Litingyu Wang, He Li, Zihao Luo, Huamin Wang, Chenyuan Bian, Zijun Gao, Chunbin Gu, Xin Weng, Jianghao Wu, Yicheng Wu, Jin Ye, Linhao Li, Yiwen Ye, Yong Xia, Elias Tappeiner, Fei He, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Junqiang Chen, Chuanyi Huang, Lisheng Wang, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Shichuan Zhang, Shaoting Zhang, Wenjun Liao, Guotai Wang
2026 J jnl
What are you looking at? Modality contribution in multimodal medical deep learning.
Int. J. Comput. Assist. Radiol. Surg.
Christian Gapp, Elias Tappeiner, Martin Welk, Karl D. Fritscher, Elke Ruth Gizewski, Rainer Schubert
2025 J jnl
What are You Looking at? Modality Contribution in Multimodal Medical Deep Learning Methods.
CoRR
Christian Gapp, Elias Tappeiner, Martin Welk, Karl D. Fritscher, Elke Ruth Gizewski, Rainer Schubert
2025 J jnl
XSRD-Net: EXplainable Stroke Relapse Detection.
CoRR
Christian Gapp, Elias Tappeiner, Martin Welk, Karl D. Fritscher, Stephanie Mangesius, Constantin Eisenschink, Philipp Deisl, Michael Knoflach, Astrid Ellen Grams, Elke Ruth Gizewski, Rainer Schubert
2024 — conf
Head and Neck Tumor Segmentation on MRIs with Fast and Resource-Efficient Staged nnU-Nets.
HNTS-MRG@MICCAI
Elias Tappeiner, Christian Gapp, Martin Welk, Rainer Schubert
2024 J jnl
Multimodal Medical Disease Classification with LLaMA II.
CoRR
Christian Gapp, Elias Tappeiner, Martin Welk, Rainer Schubert
2022 J jnl
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation.
CoRR
Elias Tappeiner, Martin Welk, Rainer Schubert
2022 J jnl
Tackling the class imbalance problem of deep learning-based head and neck organ segmentation.
Int. J. Comput. Assist. Radiol. Surg.
Elias Tappeiner, Martin Welk, Rainer Schubert
2020 J jnl
Training of head and neck segmentation networks with shape prior on small datasets.
Int. J. Comput. Assist. Radiol. Surg.
Elias Tappeiner, Samuel Pröll, Karl D. Fritscher, Martin Welk, Rainer Schubert
2019 J jnl
Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach.
Int. J. Comput. Assist. Radiol. Surg.
Elias Tappeiner, Samuel Pröll, Markus Hönig, Patrik F. Raudaschl, Paolo Zaffino, Maria Francesca Spadea, Gregory C. Sharp, Rainer Schubert, Karl D. Fritscher
2018 — conf
Urban Pointing: Browsing Situated Media Using Accurate Pointing Interfaces.
CHI Extended Abstracts
Tobias Langlotz, Elias Tappeiner, Stefanie Zollmann, Jonathan Ventura, Holger Regenbrecht
2017 J jnl
TIminer: NGS data mining pipeline for cancer immunology and immunotherapy.
Bioinform.
Elias Tappeiner, Francesca Finotello, Pornpimol Charoentong, Clemens Mayer, Dietmar Rieder, Zlatko Trajanoski
2014 A* conf
Local optimization for natural feature tracking targets.
ISMAR
Elias Tappeiner, Dieter Schmalstieg, Tobias Langlotz