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Institute

Kostiantyn Lavronenko

M.Sc.

Kostiantyn Lavronenko

Guest Researcher

Curriculum Vitae

Work Experience

September 2024- Present Fraunhofer MEVIS Research Scientist
Development of low-field MRI system with inhomogenity optimisation and enhanced image reconstruction
November 2022 – August 2024 Infineon Technologies
(part-time, working student)
Machine Learning Researcher
Development of a Deep Learning algorithm for anomaly detection and classification on radar signal data
Development of a data pipeline for an algorithm-based API
October 2019 – October 2022 Futavis GmbH
(part-time, working student)
Embedded Software Developer
Development of a simulation environment for embedded system testing of a Battery Management System

 

Academics

October 2021 – August 2024 RWTH Aachen, M.Sc. Data Science, Focus Area: Computer Science
February 2017 – September 2021 RWTH Aachen, B.Sc. Physics

Research Fields

  • My research focuses on the development of low-field MRI technology, with a particular emphasis on improving image reconstruction methods through the use of computer vision, machine learning, and optimization algorithms. Currently, I am simulating the MRI system in a virtual environment, optimizing magnetic field inhomogeneities using advanced computational techniques such as genetic algorithms. The potential application of reinforcement learning is also being explored at this stage. This work combines elements of physics, data analysis, and optimization techniques to fine-tune system performance.
  • Magnetic Resonance Imaging

Academics

    Internship Supervisor & Organizer: Laboratory Machine Learning (Master's level) SS 25 — present

    Supervised Theses and Student Assistants:

  • Matthias Knapp: Towards Global B₀ Optimization in Permanent-Magnet-Based Low-Field MRI Systems (BA -> HiWi)
  • Malek Chaabane: Gradient Coil Design in Low-Field MRI Systems (BA)
  • Pedro Marinhoho Bressan: Advanced Deep Learning Methods for Accelerated and Robust Reconstruction in Low-Field MRI (MA, ongoing)
  • Nathan Bauerle: Using DINOv3 for Multi-Task Approaches in Underwater Image Processing (external Master’s thesis)

Publications

 

Journal publications

Conference publications

  • 2026

    2026inproceedings

    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 39, S. S339--S340

  • 2026

    2026inproceedings

    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 39, S. S460--S461

  • 2026inproceedings

    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 39, S. S630--S631

  • 2026

    2026inproceedings

    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 39, S. S173--S174

  • 2026

    2026inproceedings

    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 39, S. S152--S153

  • 2026

    2026inproceedings

    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

  • 2026inproceedings

    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, Springer Nature Switzerland

  • 2025

    2025inproceedings

    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)

  • 2025

    2025inproceedings

    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) 38 (1), S. S56-S57

  • 2025inproceedings

    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), S. P4

  • 2025inproceedings

    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), S. 173

  • 2024inproceedings

    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), S. 1-2

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