Journal Publications
- A. Tsanda, S. Reiss, K. Scheffler, M. Boberg, and T. Knopp (2026). Deep learning for restoring MPI system matrices using simulated training data. Physics in Medicine & Biology. 71. (9), [Abstract]
[doi]
- J. Backes, A. Tsanda, T. Knopp, W. Renz, and E. Schöll (2026). Combining machine learning and physiological network models for sepsis prediction. Frontiers in Network Physiology. 6. [Abstract]
[doi] [www]
- M. Adrian, K.M. Eckert, M.R. Serial, A. Tsanda, L. Rennpferdt, S. Benders, H.K. Trieu, T. Knopp, I. Smirnova, and A. Penn (2026). NMR relaxometry probes solvent-polarity-dependent molecular interactions in stimuli-responsive lyogels. Phys. Chem. Chem. Phys.. 28. 1645-1654 [Abstract]
[doi] [www]
- T. Merbach, M. Adrian, C. Wigger, S. Iraqi Houssaini, B. Bayer, A. Tsanda, S. Acikgöz, C. Weiland, F. Kexel, D. Herzog, M. Hoffmann, I. Kelbassa, T. Knopp, A. Penn, and M. Schlüter (2026). 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. Chemical Engineering Journal. 539. 176536 [Abstract]
[doi] [www]
- A. Tsanda, H. Nickisch, T. Wissel, T. Klinder, T. Knopp, and M. Grass (2024). Dose robustness of deep learning models for anatomic segmentation of computed tomography images. Journal of Medical Imaging. 11. (4), 044005 [Abstract]
[doi] [www]
Conference Publications
- J. Schumacher, A. Tsanda, P. Römer, N. Hackelberg, and T. Knopp (2026). A Model-Based Reconstruction Approach to Field-Free Line Magnetic Particle Imaging. 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI) 1-4 [Abstract]
[doi] [BibTex]
- A. Tsanda, K. Scheffler, S. Reiss, and T. Knopp (2025). Denoising the system matrix with deep neural networks for better MPI reconstructions. International Journal on Magnetic Particle Imaging. 11. (1 Suppl 1), [Abstract]
[doi] [www] [BibTex]
- A. Tsanda, S. Benders, M. Adrian, A. Penn, and T. Knopp (2025). Chemically Resolved MRI with Field Inhomogeneity Correction. [www] [BibTex]
- A. Tsanda, S. Khalid, M. Möddel, and T. Knopp (2025). Neural implicit representations for grid-agnostic MPI reconstructions. International Journal on Magnetic Particle Imaging. 11. (1 Suppl 1), [Abstract]
[doi] [www] [BibTex]
- A. Tsanda, H. Nickisch, T. Wissel, T. Klinder, T. Knopp, and M. Grass (2024). Learning CT Segmentation from Label Masks Only. Medical Imaging with Deep Learning (MIDL 2024). [Abstract]
[www] [BibTex]
- A. Tsanda, H. Nickisch, T. Wissel, T. Klinder, T. Knopp, and M. Grass (2024). On TotalSegmentator’s performance on low-dose CT images. Medical Imaging 2024: Image Processing. 12926. 129260B [Abstract]
[doi] [www] [BibTex]
- A. Tsanda, P. Jürß, N. Hackelberg, M. Grosser, M. Möddel, and T. Knopp (2024). Extension of the Kaczmarz algorithm with a deep plug-and-play regularizer. International Journal on Magnetic Particle Imaging. 10. (1 Suppl 1), 1-4 [Abstract]
[doi] [www] [BibTex]
- N. Hackelberg, M. Grosser, A. Tsanda, F. Mohn, K. Scheffler, M. Möddel, and T. Knopp (2024). RegularizedLeastSquares.jl: Modality Agnostic Julia Package for Solving Regularized Least Squares Problems. International Journal on Magnetic Particle Imaging. 10. (1 Suppl 1), 1-4 [Abstract]
[doi] [BibTex]
- T. Knopp, F. Mohn, F. Foerger, F. Thieben, N. Hackelberg, J. Faltinath, A. Tsanda, M. Boberg, and M. Möddel
(2024). Empirical Study of Magnet Distance on Magneto-Mechanical Resonance Frequency. Current Directions in Biomedical Engineering. 10. (4), 377-380 [Abstract]
[doi] [www] [BibTex]
