Publikationen von F Birk

Zeitschriftenartikel (1)

1.
Zeitschriftenartikel
Birk, F.; Glang, F.; Loktyushin, A.; Birkl, C.; Ehses, P.; Scheffler, K.; Heule, R.: High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced steady-state free precession frequency profile. NMR in Biomedicine 35 (6) (2022)

Konferenzbeitrag (4)

2.
Konferenzbeitrag
Wang, Q.; Mahler, L.; Steiglechner, J.; Birk, F.; Scheffler, K.; Lohmann, G.: DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning. In: IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, S. 2452 - 2461. 2nd Workshop on Computer Vision for Automated Medical Diagnosis: International Conference on Computer Vision (ICCV/CVF 2023) , Paris, France, 02. Oktober 2023 - 06. Oktober 2023. (2023)
3.
Konferenzbeitrag
Mahler, L.; Wang, Q.; Steiglechner, J.; Birk, F.; Heczko, S.; Scheffler, K.; Lohmann, G.: Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification. In: Machine Learning in Clinical Neuroimaging: 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, S. 123 - 132 (Hg. Abdulkadir, A.; Bathula, D.; Dvornek, N.; Govindarajan, S.; Habes, M. et al.). 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023), Vancouver, BC, Canada, 08. Oktober 2023. Springer, Cham, Switzerland (2023)
4.
Konferenzbeitrag
Wang, Q.; Mahler, L.; Steiglechner, J.; Birk, F.; Scheffler, K.; Lohmann, G.: A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging. In: Machine Learning in Clinical Neuroimaging: 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, S. 23 - 33 (Hg. Abdulkadir, A.; Bathula, D.; Dvornek, N.; Govindarajan, S.; Habes, M. et al.). 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023), Vancouver, BC, Canada, 08. Oktober 2023. Springer, Cham, Switzerland (2023)
5.
Konferenzbeitrag
Birk, F.; Glang, F.; Loktyushin, A.; Birkl, C.; Ehses, P.; Scheffler, K.; Heule, R.: NN-driven mapping of multiple diffusion metrics at high to ultra-high resolution using the bSSFP frequency profile. In: 23rd Annual Meeting of the German Chapter of the ISMRM, V22, S. S78 - S81. 23rd Annual Meeting of the German Chapter of the ISMRM (DS ISMRM 2021), Zürich, Switzerland, 09. September 2021 - 10. September 2021. ETH Zürich, Zürich, Switzerland (2021)

Meeting Abstract (1)

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Meeting Abstract
Birk, F.; Najac, C.; O'Reilly, T.; Scheffler, K.; Webb, A.; Heule, R.: Rapid multi-parametric relaxometry on a point-of-care 46 mT Halbach MRI scanner using balanced steady-state free precession imaging. In 39th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2023) Online, LB276, S. 19 - 20. 39th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2023) Online, 04. Oktober 2023 - 07. Oktober 2023. (2023)

Poster (4)

7.
Poster
Birk, F.; Scheffler, K.; Heule, R.: Ultrafast submillimeter model-based NN quantification of whole-brain T1 and T2 using phase-cycled bSSFP. 2023 ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM 2023), Toronto, Canada (2023)
8.
Poster
Najac, C.; Birk, F.; O’Reilly, T.; Scheffler, K.; Webb, A.; Heule, R.: Balanced steady-state free precession imaging and associated rapid relaxation time mapping on a point-of-care 46 mT Halbach MRI scanner. 2023 ISMRM & ISMRT Annual Meeting & Exhibition (ISMRM 2023), Toronto, Canada (2023)
9.
Poster
Birk, F.; Steiglechner, J.; Scheffler, K.; Heule, R.: Investigating complex-valued neural networks applied to phase-cycled bSSFP for multi-parametric quantitative tissue characterization. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (ISMRM 2022), London, UK (2022)
10.
Poster
Birk, F.; Glang, F.; Birkl, C.; Scheffler, K.; Heule, R.: Quantification of multiple diffusion metrics from asymmetric balanced SSFP frequency profiles using neural networks. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)
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