Publikationen von K Scheffler

Scheffler, K.: Hardware Configurations. In: Magnetic Resonance Angiography, S. 161 - 166 (Hg. Arlart, I.; Bongartz, G.; Marchal, G.). Springer, Berlin, Germany (2002)

Boos, M.; Scheffler, K.; Jacob , A.; Böttcher, U.; Bongartz, G.: 3D dynamic Gadolinium-enhanced subtraction MR angiography of the lower limb arteries compared to X-ray angiography for assessment of vascular occlusive disease. In: High-power gradient MR-imaging: Advances in MRI II, S. 365 - 371 (Hg. Oudkerk, M.). Blackwell Science, Oxford, UK (1997)

Laubenberger, J.; Hennig, J.; Scheffler, K.; Schneider, B.; Langer, M.: Ultrafast MR projection angiography (MR-DSA) of the thoracic vessels: First clinical results. In: High-power gradient MR-imaging: Advances in MRI II, S. 316 - 317 (Hg. Oudkerk, M.). Blackwell Science, Oxford, UK (1997)

Scheffler, K.; Boos, M.; Huber, P.; Seelig, J.; Bongartz, G.: Contrast-enhanced MR angiography of the extremities using non-selective excitation and optimized gradient timing. In: High-power gradient MR-imaging: Advances in MRI II, S. 360 - 364 (Hg. Oudkerk, M.). Blackwell Science, Oxford, UK (1997)

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)

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)

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)

Glang, F.; Nikulin, A.; Bause, J.; Heule, R.; Steffen, T.; Avdievich, N.; Scheffler, K.: Accelerated MRI at 9.4 T with electronically modulated time-varying receive sensitivities. In: 24. Jahrestagung der Deutschen Sektion der ISMRM (DS-ISMRM 2022), V023, S. 23 - 29. 24. Jahrestagung der Deutschen Sektion der ISMRM (DS-ISMRM 2022), Aachen, Germany, 21. September 2022 - 24. September 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. (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 , 06. Juli 2022 - 08. Juli 2022. (2022)

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)

Dang, H.; Endres, J.; Weinmüller, S.; Loktyushin, A.; Glang, F.; Scheffler, K.; Doerfler, A.; Maier, A.; Zaiss, M.: Removing T2 blurring in RARE sequences by using a DenseNet. In: 23rd Annual Meeting of the German Chapter of the ISMRM, V24, S. S82 - S83. 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)

Kullmann, S.; Abbas, Z.; Machann, J.; Shah, N.; Scheffler, K.; Birkenfeld, A.; Häring, H.-U.; Fritsche, A.; Heni, M.; Preissl, H.: Investigating obesity‐associated brain inflammation using quantitative water content mapping. 4th FASEB Growth Hormone (GH)/Prolactin (PRL) Family in Biology & Disease Conference , West Palm Beach, FL, USA, 07. Juli 2019 - 12. Juli 2019. Journal of Neuroendocrinology 32 (12), S. 1 - 13 (2020)

Solomakha, G.; Glybovski, S.; Melchakova, I.; Henning, A.; Scheffler, K.; Avdievich, N.: Numerical and Experimental Evaluation of Short Folded Recieve-Only Dipoles for 9.4T Human Head Arrays. In: 2019 International Conference on Electromagnetics in Advanced Applications (ICEAA), S. 0489 - 0491. Twenty-first International Conference on Electromagnetics in Advanced Applications (ICEAA 2019), Ninth IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC 2019) , Granada, Spain, 09. September 2019 - 13. September 2019. IEEE, Piscataway, NJ, USA (2019)

Aghaeifar, A.; Scheffler, K.: An optimized multi-coil shim setup to improve shimming of the human brain at 9.4T. In: 22. Jahrestagung der Deutschen Sektion der International Society for Magnetic Resonance in Medicine (ISMRM-DS 2019), G1, S. 19 - 23. 22. Jahrestagung der Deutschen Sektion der International Society for Magnetic Resonance in Medicine (ISMRM-DS 2019), Kiel, Germany, 12. September 2019 - 13. September 2019. Deutsche Sektion der ISMRM, Köln, Germany (2019)

Pais Roldán, P.; Biswal, B.; Scheffler, K.; Yu, X.: Identifying Respiration-Related Aliasing Artifacts in the Rodent Resting-State fMRI. 13. Workshop of the International School on Magnetic Resonance and Brain Function , Erice, Italy, 22. April 2018 - 29. April 2018. Frontiers in Neuroscience 12, 788, S. 19 - 32 (2018)

Loktyushin, A.; Ehses, P.; Schölkopf, B.; Scheffler, K.: Learning-based solution to phase error correction in T2*-weighted GRE scans. In: International Conference on Medical Imaging with Deep Learning (MIDL 2018), S. 1 - 3. International Conference on Medical Imaging with Deep Learning (MIDL 2018), Amsterdam, The Netherlands, 04. Juli 2018 - 06. Juli 2018. (2018)

Báez-Yánez, M.; Tsai, P.; Kleinfeld, D.; Scheffler, K.: The impact of vessel size, orientation and intravascular contribution on the V16 neurovascular fingerprint of BOLD bSSFP fMRI. In: 20. Jahrestagung der Deutschen Sektion der International Society for Magnetic Resonance in Medicine (ISMRM-DS 2017), V16, S. 83 - 87. 20. Jahrestagung der Deutschen Sektion der International Society for Magnetic Resonance in Medicine (ISMRM-DS 2017), Göttingen, Germany. (2017)

Handwerker, J.; Pérez-Rodas, M.; Ortmanns, M.; Scheffler, K.; Anders, J.: Towards CMOS-based in-vivo NMR spectroscopy and microscopy. In: IEEE International Symposium on Circuits & Systems (ISCAS 2017). IEEE International Symposium on Circuits Systems (ISCAS 2017), Baltimore, MD, USA, 28. Mai 2017 - 31. Mai 2017. IEEE, Piscataway, NJ, USA (2017)

Handwerker, J.; Eder, M.; Tibiletti, M.; Kasche, V.; Scheffler, K.; Becker, J.; Ortmanns, M.; Anders, J.: An array of fully-integrated quadrature TX/RX NMR field probes for MRI trajectory mapping. In: 42nd European Solid-State Circuits Conference (ESSCIRC 2016), S. 217 - 220. 42nd European Solid-State Circuits Conference (ESSCIRC 2016), Lausanne, Switzerland, 12. September 2016 - 15. September 2016. IEEE, Piscataway, NJ, USA (2016)