Curriculum Vitae
| Dez 2021 – Feb 2025 | Wissenschaftlicher Mitarbeiter, Lehr- und Forschungsgebiet für Physik der molekularen Bildgebungssysteme, RWTH Aachen University |
| Okt 2019 – Nov 2021 | M.Sc. Physik, RWTH Aachen University (Spezialisierung: Exp. Teilchenphysik, Machine Learning, Med. Bildgebung) |
| Okt 2016 – Okt 2019 | B.Sc. Physik, RWTH Aachen University |
Ehrungen und Auszeichnungen
| Nov 2023 | IEEE NPSS Christopher J. Thompson Student Paper Award |
Forschungsfelder
- Physics-informed Machine Learning
- Explainable AI
- TOF-PET
Publikationen
Preprints
2025
Stephan Naunheim, Luis Lopes de Paiva, Vanessa Nadig, Yannick Kuhl, Stefan Gundacker, Florian Mueller and Volkmar Schulz
Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections
Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections
Journal Publications
2025
Vanessa Nadig, Stefan Gundacker, Katrin Herweg, Stephan Naunheim, David Schug, Bjoern Weissler and Volkmar Schulz
ASICs in PET: what we have and what we need
In: EJNMMI Physics 12 (1)
ASICs in PET: what we have and what we need
In: EJNMMI Physics 12 (1)
2024
Stephan Naunheim, Florian Mueller, Vanessa Nadig, Yannick Kuhl, Johannes Breuer, Nan Zhang, Sanghee Cho, Maciej Kapusta, Robert Mintzer, Martin Judenhofer and Volkmar Schulz
Holistic Evaluation of a Machine Learning-based Timing Calibration for PET Detectors under Varying Data Sparsity
In: Physics in Medicine & Biology
Holistic Evaluation of a Machine Learning-based Timing Calibration for PET Detectors under Varying Data Sparsity
In: Physics in Medicine & Biology
2023
Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz and Florian Mueller
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning—A Residual Physics Approach
In: IEEE Transactions on Neural Networks and Learning Systems
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning—A Residual Physics Approach
In: IEEE Transactions on Neural Networks and Learning Systems
2022
Stephan Naunheim, Yannick Kuhl, Torsten Solf, David Schug, Volkmar Schulz and Florian Mueller
Analysis of a convex time skew calibration for light sharing-based PET detectors
In: Physics in Medicine & Biology
Analysis of a convex time skew calibration for light sharing-based PET detectors
In: Physics in Medicine & Biology
Conference Publications
2024
Thilo Masbaum, Luis Lopes de Paiva, Florian Mueller, Volkmar Schulz and Stephan Naunheim
First Steps towards a Foundation Model for Positioning in Positron Emission Tomography Detectors
In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)
First Steps towards a Foundation Model for Positioning in Positron Emission Tomography Detectors
In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)
2024
K. Lavronenko, L. Lopes de Paiva, F. Mueller, V. Schulz and S. Naunheim
Towards artificial data generation for accelerated PET detector ML-based timing calibration using GANs
In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)
Towards artificial data generation for accelerated PET detector ML-based timing calibration using GANs
In: 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)
2023
Matthias Bovelett, Yannick Kuhl, Stephan Naunheim, David Schug, Volkmar Schulz and Florian Mueller
Implementation and Evaluation of a 3D-dependend Energy-calibration algorithm
In: IEEE NSS MIC 2023
Implementation and Evaluation of a 3D-dependend Energy-calibration algorithm
In: IEEE NSS MIC 2023
2022
Stephan Naunheim, Yannick Kuhl, Bjoern Weissler, David Schug, Harald Radermacher, Florian Mueller, Vanessa Nadig, Laiyin Yin, Karl Krueger, Max Peters, Pierre Gebhardt, Nicolas Groß-Weege, Teresa Nolte, Eike Gegenmantel, Martino Borgo, J van der Berghe, D Gareis, T Celik, Sebastian Aussenhofer, Andre Salomon, Dennis R Schaart, René Bakker, Langen K J, Christiane Kuhl and Volkmar Schulz
The HYPMED PET/MRI Insert for Enhanced Diagnosis of Breast Cancer
In: PSMR 2022 Elba
The HYPMED PET/MRI Insert for Enhanced Diagnosis of Breast Cancer
In: PSMR 2022 Elba
2022
Stephan Naunheim, Yannick Kuhl, Bjoern Weissler, David Schug, Harald Radermacher, Florian Mueller, Vanessa Nadig, Laiyin Yin, Karl Krueger, Max Peters, Pierre Gebhardt, Nicolas Groß-Weege, Teresa Nolte, Eike Gegenmantel, Martino Borgo, J van der Berghe, D Gareis, T Celik, Sebastian Aussenhofer, Andre Salomon, Dennis R Schaart, René Bakker, Langen K J, Christiane Kuhl and Volkmar Schulz
Enhanced Diagnosis of Breast Cancer With The HYPMED PET/MRI Insert
In: IEEE NSS MIC 2022
Enhanced Diagnosis of Breast Cancer With The HYPMED PET/MRI Insert
In: IEEE NSS MIC 2022
2021
Stephan Naunheim, Torsten Solf, Yannick Kuhl, David Schug, Volkmar Schulz and Florian Mueller
Exploring Timing Resolution Limits of Cost-Effective DOI-capable Semi-Monolithic Detectors for Total-Body PET
In: Total-Body PET Conference
Exploring Timing Resolution Limits of Cost-Effective DOI-capable Semi-Monolithic Detectors for Total-Body PET
In: Total-Body PET Conference
Lehre
Betreute Abschlussarbeiten:
- Luis Lopes de Paiva, “Accelerating a Residual Physics-based Timing Calibration for Positron Emission Tomography Detectors – Analysis of Different Spatial Sampling Strategies”, Bachelor Thesis
- Thilo Masbaum, “Initial Simulation Studies on the Usage of Plastic Scintillators as Radiation Detectors for Positron Emission Tomography”, Bachelor Thesis
- Moritz Rautenberg, “Initial Monte-Carlo Simulations in GATE for a PET-Scanner Featuring an Integrated Local Detector”, Bachelor Thesis
- Timm Vordermark, “A Machine Learning-Driven Timing Calibration for PET Detectors: Analysis of Feature Engineering and Statistical Sampling Effects”, Bachelor Thesis
- Jana Hermes, “Impact of Different In-Plane Source Distributions on a Residual Physics-based Timing Calibration of Positron Emission Tomography Detectors”, Bachelor Thesis
- Niclas Marschall, “Analysis of Positron Emission Tomography Detector Waveforms using Machine Learning for Depth of Interaction-based Time of Flight Corrections”, Bachelor Thesis
- Kostiantyn Lavronenko, “Deep Neural Network-based Data Generation for Improved Coincidence Timing Resolution in TOF-PET”, Master Thesis
- Luis Lopes de Paiva, “Evaluation of Explicit Corrections for TOF Estimation: A Residual Physics-Based Calibration for PET Detectors”, Master Thesis