Publikationen von J Steiglechner

Wang, Q.; Steiglechner, J.; Lindig, T.; Bender, B.; Scheffler, K.; Lohmann, G.: Super-Resolution for Ultra High-Field MR Images. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022) , Zürich, Swtzerland , 06. Juli 2022 - 08. Juli 2022. (2022)

Steiglechner, J.; Wang, Q.; Ramadan, D.; Mahler, L.; Scheffler, K.; Bender, B.; Lindig, T.; Lohmann, G.: FLEXseg: Next Generation Brain MRI Segmentation at 9.4 T. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022), Zürich, Swtzerland, 06. Juli 2022 - 08. Juli 2022. (eingereicht)

Steiglechner, J.; Bender, B.; Ernemann, U.; Scheffler, K.; Lindig, T.: Automated detection of MCI to Alzheimer's disease conversion before clinical onset by evaluation of atrophy rates. In European Congress of Radiology (ECR 2022): Building Bridges, RPS 1505-9, S. 629 - 630. European Congress of Radiology (ECR 2022): Building Bridges, Wien, Austria, 13. Juli 2022 - 17. Juli 2022. (2022)

Wang, Q.; Steiglechner, J.; Lohmann, G.: Sythetic 9T-like structural MRI using Generative Neural Network. In NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T13, S. 14. 22nd Conference of Junior Neuroscientists (NeNa 2021), Tübingen, Germany, 07. Oktober 2021. (2021)

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)