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Elias Tappeiner

Showing results (1-10 of 9) with videos related to

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International Journal of Computer Assisted Radiology and Surgery|May 16, 2022
Tackling the class imbalance problem of deep learning-based head and neck organ segmentationElias Tappeiner, Martin Welk, Rainer Schubert
Head and Neck Tumor Segmentation for Mr-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings|April 10, 2025
Head and Neck Tumor Segmentation on MRIs with Fast and Resource-Efficient Staged nnU-NetsElias Tappeiner, Christian Gapp, Martin Welk, et al.
International Journal of Computer Assisted Radiology and Surgery|June 20, 2020
Training of head and neck segmentation networks with shape prior on small datasetsElias Tappeiner, Samuel Pröll, Karl Fritscher, et al.
Bioinformatics (Oxford, England)|June 22, 2017
TIminer: NGS data mining pipeline for cancer immunology and immunotherapyElias Tappeiner, Francesca Finotello, Pornpimol Charoentong, et al.
International Journal of Computer Assisted Radiology and Surgery|October 2, 2025
What are you looking at? Modality contribution in multimodal medical deep learningChristian Gapp, Elias Tappeiner, Martin Welk, et al.
Physiological Measurement|July 1, 2021
Heart rate estimation from ballistocardiographic signals using deep learningSamuel M Pröll, Elias Tappeiner, Stefan Hofbauer, et al.
International Journal of Computer Assisted Radiology and Surgery|March 9, 2019
Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approachElias Tappeiner, Samuel Pröll, Markus Hönig, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|June 25, 2024
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challengeGašper Podobnik, Bulat Ibragimov, Elias Tappeiner, et al.
Medical Image Analysis|May 11, 2026
SegRap2025: A benchmark of gross tumor volume and lymph node clinical target volume Segmentation for Radiotherapy Planning of nasopharyngeal carcinomaJia Fu, Litingyu Wang, He Li, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
International Journal of Computer Assisted Radiology and Surgery|May 16, 2022
Tackling the class imbalance problem of deep learning-based head and neck organ segmentationElias Tappeiner, Martin Welk, Rainer Schubert
Head and Neck Tumor Segmentation for Mr-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings|April 10, 2025
Head and Neck Tumor Segmentation on MRIs with Fast and Resource-Efficient Staged nnU-NetsElias Tappeiner, Christian Gapp, Martin Welk, et al.
International Journal of Computer Assisted Radiology and Surgery|June 20, 2020
Training of head and neck segmentation networks with shape prior on small datasetsElias Tappeiner, Samuel Pröll, Karl Fritscher, et al.
Bioinformatics (Oxford, England)|June 22, 2017
TIminer: NGS data mining pipeline for cancer immunology and immunotherapyElias Tappeiner, Francesca Finotello, Pornpimol Charoentong, et al.
International Journal of Computer Assisted Radiology and Surgery|October 2, 2025
What are you looking at? Modality contribution in multimodal medical deep learningChristian Gapp, Elias Tappeiner, Martin Welk, et al.
Physiological Measurement|July 1, 2021
Heart rate estimation from ballistocardiographic signals using deep learningSamuel M Pröll, Elias Tappeiner, Stefan Hofbauer, et al.
International Journal of Computer Assisted Radiology and Surgery|March 9, 2019
Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approachElias Tappeiner, Samuel Pröll, Markus Hönig, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|June 25, 2024
HaN-Seg: The head and neck organ-at-risk CT and MR segmentation challengeGašper Podobnik, Bulat Ibragimov, Elias Tappeiner, et al.
Medical Image Analysis|May 11, 2026
SegRap2025: A benchmark of gross tumor volume and lymph node clinical target volume Segmentation for Radiotherapy Planning of nasopharyngeal carcinomaJia Fu, Litingyu Wang, He Li, et al.
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