Publications of J Steiglechner

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, July 06, 2022 - July 08, 2022. (2022)

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 , July 06, 2022 - July 08, 2022. (2022)

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, pp. 629 - 630. European Congress of Radiology (ECR 2022): Building Bridges, Wien, Austria, July 13, 2022 - July 17, 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, p. 14. 22nd Conference of Junior Neuroscientists (NeNa 2021), Tübingen, Germany, October 07, 2021. (2021)

Mahler, L.; Steiglechner, J.; Wang, Q.; Scheffler, K.; Lohmann, G.: JudgeMI: Towards Accurate Metrics for Assessing Deep Learning Based Structural MRI Motion Correction. 29th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2023), Montreal, Canada (2023)

Wang, Q.; Steiglechner, J.; Scheffler, K.; Lohmann, G.: Super Resolution Improves Cortical Segmentation Accuracy in Ultra-high Resolution MRI. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2022), Glasgow, UK (2022)

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)

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. (submitted)

Wang, Q.; Mahler, L.; Steiglechner, J.; Birk, F.; Scheffler, K.; Lohmann, G.: A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging. (submitted)