Erik Gösche
Erik Gösche, M. Sc.
PhD Candidate & Director of IT @ CIL
Werner-von-Siemens Str. 61
91052 Erlangen
Department Artificial Intelligence in Biomedical Engineering (AIBE)
W3-Professur für Computational Imaging
Werner-von-Siemens Str. 61
91052 Erlangen
- Email: erik.goesche@fau.de
- Website: https://www.cil.tf.fau.de/person/gosche/
Office hours
by appointment
- Since 02/2024
Ph.D. Candidate at Computational Imaging Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg - 10/2021 – 11/2023
M.Sc. in Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg
Thesis: “Attention-based networks for brain segmentation in k-space”, written at University of California, San Francisco - 10/2018 – 09/2021
B.Sc. in Applied Computer Science at University of Applied Sciences Mittweida
Thesis: “Object detection as a pre-processing step for segmentation of people”, written at Volkswagen Sachsen GmbH, Zwickau
- Seminar: Machine Learning in MRI (WS/SS)
2024
Conference Contributions
- , , , :
Domain Influence in MRI Medical Image Segmentation: Spatial Versus k-Space Inputs
15th International Workshop on Machine Learning in Medical Imaging, Held in Conjunction with MICCAI 2024 (Marrakesh, 6. October 2024 - 6. October 2024)
In: Xuanang Xu, Zhiming Cui, Islem Rekik, Xi Ouyang, Kaicong Sun (ed.): Machine Learning in Medical Imaging, Cham: 2024
DOI: 10.1007/978-3-031-73284-3_31
URL: https://link.springer.com/chapter/10.1007/978-3-031-73284-3_31
| Student | Title | Type | Status |
| Nguyen Anh Mai | Extension and Evaluation of the SPICER Architecture for 2D+Time Cardiovascular MRI Reconstruction | Project | Running |
| Ximeng Zhang | Comparative Literature Review of DCE MRI Analysis Frameworks and Tracer Kinetic Modeling Approaches | Master’s Thesis | Running |
| Alen Jose Anto | Comparison of non-uniform Fast Fourier Transform implementations using DCE MRI data | Project | Completed |