Merlin Nau
Merlin Nau, M. Sc.
Researcher
Martensstr. 3
91058 Erlangen
Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)
Martensstr. 3
91058 Erlangen
- Phone number: +49 9131 85-28982
- Fax number: +49 9131 85-27270
- Email: merlin.nau@fau.de
- Website: https://lme.tf.fau.de/person/nau/
Office hours
Each week We, Th,Academic CV
- Since 06/2021:
PhD student at the Pattern Recognition Lab, FAU Erlangen-Nürnberg (FAU), Germany
In cooperation with Siemens Healthineers Molecular Imaging, USA and Clinic of Nuclear Medicine, University Hospital Erlangen, Germany - 04/2018-04/2021:
M. Sc. Medical Engineering – Image and Data Processing, FAU Erlangen-Nürnberg, Germany - 08/2020-01/2021:
Master Thesis at Computational Photography Lab, Northwestern University, USA - 10/2014-04/2018
B. Sc. Medical Engineering – Imaging Systems, FAU Erlangen-Nürnberg, Germany - 08/2017-01/2018
Exchange student – Umeå University, Sweden
Research Interests
- SPECT system and reconstruction design
- Quantum annealing for inverse problems
- Quantum computing in machine learning
Projects
No projects found.
Publications
2024
Conference Contributions
- Nau M., Vija AH., Reymann M., Gohn W., Maier A.:
Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies
German Conference on Medical Image Computing - Bildverarbeitung für die Medizin (Erlangen, March 10, 2024 - March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_3
BibTeX: Download
2023
Journal Articles
- Nau M., Vija AH., Gohn W., Reymann M., Maier A.:
Exploring the Limitations of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction
In: Journal of Imaging 9 (2023), Article No.: 221
ISSN: 2313-433X
DOI: 10.3390/jimaging9100221
URL: https://www.mdpi.com/2313-433X/9/10/221
BibTeX: Download - Vysotskaya N., Will C., Servadei L., Maul N., Mandl C., Nau M., Harnisch J., Maier A.:
Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar—A Feasibility Study
In: Sensors 23 (2023), p. 4111
ISSN: 1424-8220
DOI: 10.3390/s23084111
BibTeX: Download
Conference Contributions
- Nau M., Reymann M., Massanes F., Vija AH., Maier A.:
Computing Null Space Hallucinations on Simulated SPECT Image Reconstructions
2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD) (Vancouver, BC, Canada, November 4, 2023 - November 11, 2023)
DOI: 10.1109/NSSMICRTSD49126.2023.10338608
URL: https://ieeexplore.ieee.org/abstract/document/10338608
BibTeX: Download
2022
Conference Contributions
- Nau M., Schiffers F., Li Y., Xu B., Maier A., Tumblin J., Walton M., Katsaggelos AK., Willomitzer F., Cossairt O.:
Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices
Asilomar Conference on Signals, Systems, and Computers (Pacific Grove, United States, October 31, 2021 - November 3, 2021)
In: IEEE (ed.): Asilomar Proceedings 2022
DOI: 10.1109/IEEECONF53345.2021.9723389
BibTeX: Download
2021
Conference Contributions
- Nau M., Schiffers F., Li Y., Xu B., Maier A., Tumblin J., Walton M., Katsaggelos AK., Willomitzer F., Cossairt O.:
Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation
2021 IEEE International Conference on Image Processing (ICIP) (Anchorage, AK, USA, September 19, 2021 - September 22, 2021)
DOI: 10.1109/ICIP42928.2021.9506335
BibTeX: Download
2020
Conference Contributions
- Nau MA., Nau M., Moult EM., Fujimoto JG., Maier A.:
Open source simulation of fixational eye drift motion in oct scans: Towards better comparability and accuracy in retrospective OCT motion correction
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_56
BibTeX: Download
Students Theses
| Student | Title | Type | Status |
|---|---|---|---|
| Felix Damm | Evaluation of Quantum Annealing based Projection Selection for Emission Tomography | Project | finished |
| Karlo Gabriel Fonseca Yakovenko | Quantum Machine Learning Techniques in Medical Image Classification: Simulation and Hardware | MA thesis | finished |
| Leyi Tang | Data Encoding, Parameterization and Generalization of Quantum Machine Learning for Medical Imaging | MA thesis | finished |
| Felix Damm | Tomographic Projection Selection with Quantum Annealing | BA thesis | finished |
| Christoph Klug | Matrix Operations for Applications in Quantum Annealing | Project | finished |
| Hassen Ben | Development of a comprehensive SPECT phantom dataset using Monte Carlo Simulation | Project | finished |
| Nastassia Vysotskaya | Continuous Non-Invasive Blood Pressure Measurement Using 60GHz-Radar – A Feasibility Study | MA thesis | finished |
Lectures
I help with the Deep Learning exercises 🙂
Talks
2024
- German Workshop on Medical Image Processing, Erlangen, 11.02.2024: “Improving Hybrid Quantum Annealing Tomographic Image Reconstruction” (3rd best paper award)
- London Center for Nanotechnology, UCL, London, UK, 05.06.2024: “Applications of Quantum Annealing in Medical Imaging and Machine Learning”
- Applied Quantum Computing, LMU, München, 02.06.2024: “Applied Quantum Computing for Medical Imaging”
2023
- D-Wave Webinar, 28.02.2023: “Quantum Annealing for Medical Image Reconstruction”
Video: https://www.youtube.com/embed/n10LTDSXGCM?enablejsapi=1&autoplay=0&cc_load_policy=0&cc_lang_pref=&iv_load_policy=1&loop=0&modestbranding=1&rel=0&fs=1&playsinline=0&autohide=2&theme=dark&color=red&controls=1&
- International Network on Quantum Annealing Seminar, 30.05.2023: “Hybrid Quantum Annealing for Tomographic Image Reconstruction – Opportunities and Limitations”
Video: https://www.youtube.com/embed/C9tsB136vlU?enablejsapi=1&autoplay=0&cc_load_policy=0&cc_lang_pref=&iv_load_policy=1&loop=0&modestbranding=1&rel=0&fs=1&playsinline=0&autohide=2&theme=dark&color=red&controls=1&
- FAU – Department of Physics, Quantum Theory Seminar, 21.06.2023: “Applications of Quantum Computing in Medical Image Reconstruction and Classification”
- Siemens Healthineers Innovation Center, Erlangen, 06.07.2023: “Initial Assessment of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction”
2022
- Q2B Silicon Valley, Santa Clara, CA, USA, 06.12.2022: “Quantum Computing for Medical Image Reconstruction”
Video: https://www.youtube.com/embed/Wmhe7a2TwRk?enablejsapi=1&autoplay=0&cc_load_policy=0&cc_lang_pref=&iv_load_policy=1&loop=0&modestbranding=1&rel=0&fs=1&playsinline=0&autohide=2&theme=dark&color=red&controls=1&