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Ekin Ermis
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2020 – today
- 2024
- [j2]Guodong Weng, Johannes Slotboom, Philippe Schucht, Ekin Ermis, Roland Wiest, Stefan Klöppel, Jessica Peter, Irena Zubak, Piotr Radojewski:
Simultaneous multi-region detection of GABA+ and Glx using 3D spatially resolved SLOW-editing and EPSI-readout at 7T. NeuroImage 286: 120511 (2024) - [c4]Zahira Mercado, Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Lucas Mose, Nicolaus Andratschke, Mauricio Reyes:
AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy. CaPTion@MICCAI 2024: 221-230 - 2023
- [j1]Elias Rüfenacht, Amith Kamath, Yannick Suter, Robert Poel, Ekin Ermis, Stefan Scheib, Mauricio Reyes:
PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Comput. Methods Programs Biomed. 231: 107374 (2023) - [c3]Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Nicolaus Andratschke, Mauricio Reyes:
ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. EMBC 2023: 1-4 - [c2]Elias Rüfenacht, Robert Poel, Amith Kamath, Ekin Ermis, Stefan Scheib, Michael K. Fix, Mauricio Reyes:
Dose Guidance for Radiotherapy-Oriented Deep Learning Segmentation. MICCAI (9) 2023: 525-534
2010 – 2019
- 2018
- [c1]Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. MICCAI (1) 2018: 682-690 - [i2]Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes:
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. CoRR abs/1806.02562 (2018) - [i1]Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes:
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation. CoRR abs/1806.03106 (2018)
Coauthor Index
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last updated on 2024-10-17 20:32 CEST by the dblp team
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