Publikationen von J Steiglechner

Konferenzbeitrag (5)

1.
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)
2.
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)
3.
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)
4.
Konferenzbeitrag
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. (2022)
5.
Konferenzbeitrag
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)

Meeting Abstract (3)

6.
Meeting Abstract
Steiglechner, J.; Bender, B.; Lohmann, G.; Scheffler, K.; Ernemann, U.; Lindig, T.: Integration of Automated Brain MRI Segmentation and Longitudinal Atrophy Analysis Generalizes In Forecasting Progression from Mild Cognitive Impairment to Alzheimer’s Disease. In Clinical Neuroradiology, 33 (Supplement 1), 321, S. S78 - S79. 58. Jahrestagung der Deutschen Gesellschaft für Neuroradiologie e.V. und 30. Jahrestagung der Österreichischen Gesellschaft für Neuroradiologie e.V. (NEURORAD 2023), Kassel, Germany, 04. Oktober 2023 - 06. Oktober 2023. Springer (2023)
7.
Meeting Abstract
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)
8.
Meeting Abstract
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)

Poster (3)

9.
Poster
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)
10.
Poster
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)
11.
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)

Preprint (1)

12.
Preprint
Lohmann, G.; Heczko, S.; Mahler, L.; Wang, Q.; Steiglechner, J.; Kumar, V.; Roost, M.; Jost, J.; Scheffler, K.: Improving the reliability of fMRI-based predictions of intelligence via semi-blind machine learning. (eingereicht)
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