IBI: Artyom Tsanda

Artyom Tsanda, M.Sc.

Universitätsklinikum Hamburg-Eppendorf (UKE)
Sektion für Biomedizinische Bildgebung
Lottestraße 55
2ter Stock, Raum 203
22529 Hamburg
- Postanschrift -

Technische Universität Hamburg (TUHH)
Institut für Biomedizinische Bildgebung
Gebäude E, Raum 4.044
Am Schwarzenberg-Campus 3
21073 Hamburg

Tel.: 040 7410 25811
E-Mail: artyom.tsanda(at)tuhh.de
E-Mail: a.tsanda.ext(at)uke.de
ORCID: https://orcid.org/0009-0009-7765-4604

Research Interests

Magnetic Particle Imaging
Magnetic Resonance Imaging
Deep Learning

Curriculum Vitae

Artyom Tsanda studied applied mathematics and physics at the Moscow Institute of Physics and Technology between 2013 and 2019. He is currently completing a PhD in medical image reconstruction at Hamburg University of Technology. His research focuses on physical modeling and deep learning for CT, MRI, and magnetic particle imaging, particularly image reconstruction, denoising, and restoration. From 2019 to 2023, he worked as a Data and AI Scientist at Philips Research, developing Deep learning methods for CT artifact correction, denoising, segmentation, and accelerated MRI reconstruction.

Journal Publications

5
Tsanda, A.; Reiss, S.; Scheffler, K.; Boberg, M.; Knopp, T.
Deep learning for restoring MPI system matrices using simulated training data
2026 Article Physics in Medicine and Biology
Journal Physics in Medicine and Biology, 71 (9)
DOI:
10.1088/1361-6560/ae6016
4
Backes, J.; Tsanda, A.; Knopp, T.; Renz, W.; Schöll, E.
Combining machine learning and physiological network models for sepsis prediction
2026 Article Frontiers in Network Physiology
Journal Frontiers in Network Physiology, 6
DOI:
10.3389/fnetp.2026.1852577
3
Merbach, T.; Adrian, M.; Wigger, C.; Iraqi Houssaini, S.; Bayer, B.; Tsanda, A.; Acikgöz, S.; Weiland, C.; Kexel, F.; Herzog, D.; Hoffmann, M.; Kelbassa, I.; Knopp, T.; Penn, A.; Schlüter, M.
Comprehensive study of 3D liquid flow fields in additively manufactured structures for SMART reactors using large-scale vertical magnetic resonance imaging and computational fluid dynamics
2026 Article Chemical Engineering Journal
Journal Chemical Engineering Journal, 539 : 176536
DOI:
10.1016/j.cej.2026.176536
2
Adrian, M.; Eckert, K. M.; Serial, M. R.; Tsanda, A.; Rennpferdt, L.; Benders, S.; Trieu, H. K.; Knopp, T.; Smirnova, I.; Penn, A.
NMR relaxometry probes solvent-polarity-dependent molecular interactions in stimuli-responsive lyogels
2026 Article Physical Chemistry Chemical Physics
Journal Physical Chemistry Chemical Physics, 28 : 1645-1654
Publisher The Royal Society of Chemistry
DOI:
10.1039/D5CP04032A
1
Tsanda, A.; Nickisch, H.; Wissel, T.; Klinder, T.; Knopp, T.; Grass, M.
Dose robustness of deep learning models for anatomic segmentation of computed tomography images
2024 Article Journal of Medical Imaging
Journal Journal of Medical Imaging, 11 (4): 044005
Publisher SPIE
DOI:
10.1117/1.JMI.11.4.044005

Conference Proceedings

9
Schumacher, J.; Tsanda, A.; Römer, P.; Hackelberg, N.; Knopp, T.
A Model-Based Reconstruction Approach to Field-Free Line Magnetic Particle Imaging
2026 Contribution to Proceeding In "2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)"
Booktitle 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), Page 1-4
DOI:
10.1109/ISBI61048.2026.11515299
8
Tsanda, A.; Scheffler, K.; Reiss, S.; Knopp, T.
Denoising the system matrix with deep neural networks for better MPI reconstructions
2025 Contribution to Proceeding In "14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)"
Booktitle , 14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)Volume11
March 2025
DOI:
10.18416/IJMPI.2025.2503047
7
Tsanda, A.; Benders, S.; Adrian, M.; Penn, A.; Knopp, T.
Chemically Resolved MRI with Field Inhomogeneity Correction
2025 Contribution to Proceeding In "Proceedings of the 18th International Conference on Magnetic Resonance Microscopy (ICMRM)"
Booktitle Proceedings of the 18th International Conference on Magnetic Resonance Microscopy (ICMRM)
File:
https://www.icmrm.org/static/websites/ICMRM_18_Wuerzburg__archived/proceedings/18thICMRM_P-27_Tsanda.pdf
6
Tsanda, A.; Khalid, S.; Möddel, M.; Knopp, T.
Neural implicit representations for grid-agnostic MPI reconstructions
2025 Contribution to Proceeding In "14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)"
Booktitle , 14th International Workshop on Magnetic Particle Imaging (IWMPI 2025)Volume11
March 2025
DOI:
10.18416/IJMPI.2025.2503058
5
Tsanda, A.; Nickisch, H.; Wissel, T.; Klinder, T.; Knopp, T.; Grass, M.
Learning CT Segmentation from Label Masks Only
2024 Contribution to Proceeding In "Medical Imaging with Deep Learning"
Booktitle Medical Imaging with Deep Learning
File:
https://openreview.net/forum?id=u6pyk0RIpL
4
Hackelberg, N.; Grosser, M.; Tsanda, A.; Mohn, F.; Scheffler, K.; Möddel, M.; Knopp, T.
RegularizedLeastSquares.jl: Modality Agnostic Julia Package for Solving Regularized Least Squares Problems
2024 Contribution to Proceeding In "13th International Workshop on Magnetic Particle Imaging (IWMPI 2024)"
Booktitle , 13th International Workshop on Magnetic Particle Imaging (IWMPI 2024)Volume10, Page 1-4
DOI:
10.18416/IJMPI.2024.2403028
3
Tsanda, A.; Nickisch, H.; Wissel, T.; Klinder, T.; Knopp, T.; Grass, M.
On TotalSegmentator's performance on low-dose CT images
2024 Contribution to Proceeding In "Medical Imaging 2024: Image Processing"
Booktitle In Olivier Colliot and Jhimli Mitra, Editor, Medical Imaging 2024: Image ProcessingVolume12926, Page 86—89
International Society for Optics and Photonics
Editor Olivier Colliot and Jhimli Mitra
Publisher SPIE
DOI:
10.1117/12.3000186
2
Tsanda, A.; Jürß, P.; Hackelberg, N.; Grosser, M.; Möddel, M.; Knopp, T.
Extension of the Kaczmarz algorithm with a deep plug-and-play regularizer
2024 Contribution to Proceeding In "13th International Workshop on Magnetic Particle Imaging (IWMPI 2024)"
Booktitle , 13th International Workshop on Magnetic Particle Imaging (IWMPI 2024)Volume10, Page 1-4
March 2024
DOI:
10.18416/IJMPI.2024.2403010
1
Knopp, T.; Mohn, F.; Foerger, F.; Thieben, F.; Hackelberg, N.; Faltinath, J.; Tsanda, A.; Boberg, M.; Möddel, M.
Empirical Study of Magnet Distance on Magneto-Mechanical Resonance Frequency
2024 Contribution to Proceeding In "Current Directions in Biomedical Engineering"
Booktitle , Current Directions in Biomedical EngineeringVolume10, Page 377-380
December 2024
DOI:
10.1515/cdbme-2024-2092

TU Hamburg

Institute for Biomedical Imaging

Lottestraße 55, 2nd floor

22529 Hamburg