M.Sc.
Kostiantyn Lavronenko
140
+49 241 80 27865
Kostiantyn.Lavronenko@lfb.rwth-aachen.de
Kostiantyn Lavronenko
Gastwissenschaftler
140
+49 241 80 27865
Kostiantyn.Lavronenko@lfb.rwth-aachen.de
Lebenslauf
Arbeitserfahrung
| September 2024 – Jetzt | Fraunhofer MEVIS | Wissenschaftlicher Mitarbeiter Entwicklung eines Niedrigfeld-MRT-Systems mit Optimierung der Inhomogenität und verbesserter Bildrekonstruktion |
| November 2022 – August 2024 | Infineon Technologies (Teilzeit, HiWi) |
Machine Learning Forscher – Entwicklung eines Deep-Learning-Algorithmus zur Anomalieerkennung und Klassifizierung von Radarsignaldaten – Entwicklung einer Datenpipeline für eine algorithmusbasierte API |
| Oktober 2019 – Oktober 2022 | Futavis GmbH (Teilzeit, HiWi) |
Embedded Software Entwickler – Entwicklung einer Simulationsumgebung für das Testen eingebetteter Systeme eines Batterie-Management-Systems |
Studium
| Oktober 2021 – August 2024 | RWTH Aachen, M.Sc. Data Science, Vertiefung: Computer Science |
| Februar 2017 – September 2021 | RWTH Aachen, B.Sc. Physik |
Forschungsgebiete
- Meine Forschung konzentriert sich auf die Entwicklung von Nieder-MRT-Technologie, mit besonderem Fokus auf die Verbesserung der Bildrekonstruktionsmethoden durch den Einsatz von Computer Vision, maschinellem Lernen und Optimierungsalgorithmen. Derzeit simuliere ich das MRT-System in einer virtuellen Umgebung und optimiere magnetische Feldinhomogenitäten mithilfe fortschrittlicher Berechnungsmethoden wie genetischen Algorithmen. Auch das Potenzial des Einsatzes von Reinforcement Learning wird in diesem Stadium untersucht. Diese Arbeit vereint Elemente der Physik, Datenanalyse und Optimierungstechniken, um die Systemleistung zu verfeinern.
Lehre
Praktikums Supervisor & Organizer: Laboratory Machine Learning (Master Niveau) SS 25 — present
Abgeschlossene Abschlussarbeiten und HiWis:
- Matthias Knapp: Auf dem Weg zur globalen B₀-Optimierung in permanentmagnet-basierten Niedrigfeld-MRT-Systemen (BA -> HiWi)
- Malek Chaabane: Gradientenspulen-Design in Niederfeld-MRT-Systemen (BA)
- Pedro Marinhoho Bressan: Fortgeschrittene Deep-Learning-Methoden für die beschleunigte und robuste Rekonstruktion in Niederfeld-MRT (MA, ongoing)
- Nathan Bauerle: Einsatz von DINOv3 für Multi-Task-Verfahren in der Unterwasser-Bildverarbeitung (externe MA, ongoing)
Veröffentlichungen
Journal-Veröffentlichungen
Konferenz-Veröffentlichungen
2026
Marian Frei, Felix Dahms, Kostiantyn Lavronenko, Marcel Ochsendorf, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz
GPU-accelerated streamfunction design search for low-field MRI surface coils
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
GPU-accelerated streamfunction design search for low-field MRI surface coils
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Felix Dahms, Marian Frei, Marcel Ochsendorf, Kostiantyn Lavronenko, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz
Enhancing open-ended dome-shaped RF coils using brim structures
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
Enhancing open-ended dome-shaped RF coils using brim structures
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Kostiantyn Lavronenko, Matthias Knapp, Marcel Ochsendorf, Rüveyda Yilmaz, Marian Frei, Felix Dahms, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz
Diffusion-prior-based reconstruction and B0 field correction of knee MRI under simulated low-field distortions
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
Diffusion-prior-based reconstruction and B0 field correction of knee MRI under simulated low-field distortions
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Marcel Ochsendorf, Lukas Bierbüsse, Kostiantyn Lavronenko, Marian Frei, Felix Dahms, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz
External Hall-sensor-guided Larmor frequency calibration in low-field MRI with Local Spectral Refinement
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
External Hall-sensor-guided Larmor frequency calibration in low-field MRI with Local Spectral Refinement
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Marcel Ochsendorf, Aleksander Stepien, Tom Merten, Robin Lintermann, Kostiantyn Lavronenko, Marian Frei, Felix Dahms, Emilia Yin-Grossmann, Yannick Kuhl and Volkmar Schulz
IEEE 1588 precision time protocol trigger synchronization for sequence-relative experimental devices using MaRCoS firmware
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
IEEE 1588 precision time protocol trigger synchronization for sequence-relative experimental devices using MaRCoS firmware
In: Book of Abstracts ESMRMB 2026 42nd Annual Scientific Meeting September 30th--October 3rd 2026
2026
Marcel Ochsendorf, Emilia Yin-Großmann, Kostiantyn Lavronenko and Volkmar Schulz
Small-Bore, Big Fruits: End to end generation pipeline for 3D-printed phantoms with hidden micro-manifolds in Low-Field MRI
In: 2026 ISMRM-ISMRT Annual Meeting and Exhibition
Small-Bore, Big Fruits: End to end generation pipeline for 3D-printed phantoms with hidden micro-manifolds in Low-Field MRI
In: 2026 ISMRM-ISMRT Annual Meeting and Exhibition
2026
Kostiantyn Lavronenko, Rueveyda Yilmaz, Zhu Chen, Johannes Stegmaier and Volkmar Schulz
Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging
In: MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance
Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging
In: MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance
2025
Marcel Ochsendorf, Kostiantyn Lavronenko and Volkmar Schulz
Adaptive magnetic field mapping to accelerate the $B_0$ shimming process in low-field MRI using Gaussian process regression: Adaptive sampling
In: Proceedings of the 18th International Conference on Magnetic Resonance Microscopy (ICMRM)
Adaptive magnetic field mapping to accelerate the $B_0$ shimming process in low-field MRI using Gaussian process regression: Adaptive sampling
In: Proceedings of the 18th International Conference on Magnetic Resonance Microscopy (ICMRM)
2025
Marcel Ochsendorf, Emilia Yin-Großmann, Kostiantyn Lavronenko and Volkmar Schulz
Nonlinear model-based b0 field compensation in low-field mri using hall sensor arrays and spatial interpolation
In: Book of Abstracts, 41st Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2025)
Nonlinear model-based b0 field compensation in low-field mri using hall sensor arrays and spatial interpolation
In: Book of Abstracts, 41st Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2025)
2025
Kostiantyn Lavronenko, Marcel Ochsendorf and Volkmar Schulz
B_0 Field Optimization of Permanent Magnet Assemblies with Characterized Field Variations in Individual Magnets Using Genetic Algorithms
In: Proceedings of the 18th International Conference on Magnetic Resonance Microscopy (ICMRM 2025)
B_0 Field Optimization of Permanent Magnet Assemblies with Characterized Field Variations in Individual Magnets Using Genetic Algorithms
In: Proceedings of the 18th International Conference on Magnetic Resonance Microscopy (ICMRM 2025)
2025
Kostiantyn Lavronenko, Marcel Ochsendorf, Julian Thull and Volkmar Schulz
Differentiable dipole-based optimization of permanent magnets for homogeneous B0 fields in low-field MRI
In: Book of Abstracts, 41st Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2025)
Differentiable dipole-based optimization of permanent magnets for homogeneous B0 fields in low-field MRI
In: Book of Abstracts, 41st Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2025)
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)