Publikationen von F Birk
Alle Typen
Zeitschriftenartikel (2)
1.
Zeitschriftenartikel
15 (1), 4825 (2025)
Flexible and cost-effective deep learning for accelerated multi-parametric relaxometry using phase-cycled bSSFP. Scientific Reports 2.
Zeitschriftenartikel
35 (6) (2022)
High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced steady-state free precession frequency profile. NMR in Biomedicine Konferenzbeitrag (4)
3.
Konferenzbeitrag
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)
4.
Konferenzbeitrag
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)
5.
Konferenzbeitrag
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)
6.
Konferenzbeitrag
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 (2)
7.
Meeting Abstract
Distribution-free uncertainty estimation in multi-parametric quantitative MRI through conformalized quantile regression. In ISMRM & ISMRT Annual Meeting & Exhibition 2024, 2228. ISMRM & ISMRT Annual Meeting & Exhibition 2024, Singapore, 04. Mai 2024 - 09. Mai 2024. (2024)
8.
Meeting Abstract
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)
9.
Poster
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)
10.
Poster
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)
11.
Poster
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)
12.
Poster
Quantification of multiple diffusion metrics from asymmetric balanced SSFP frequency profiles using neural networks. 2021 ISMRM & SMRT Annual Meeting & Exhibition (ISMRM 2021) (2021)
Preprint (1)
13.
Preprint
UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations. (eingereicht)