Publications
2025 Kim J. , Nickel MD. , Knoll F. :Deep Learning-Based Accelerated MR Cholangiopancreatography Without Fully-Sampled Data NMR in Biomedicine 38 2025 ), p. e70002 ISSN: 0952-3480 10.1002/nbm.70002 Solomon E. , Johnson PM. , Tan Z. , Tibrewala R. , Lui YW. , Knoll F. , Moy L. , Kim SG. , Heacock L. :FastMRI Breast: A Publicly Available Radial k-Space Dataset of Breast Dynamic Contrast-enhanced MRI Radiology: Artificial Intelligence 7 2025 ), Article No.: e240345 ISSN: 2638-6100 10.1148/ryai.240345 2024 Amsel D. , Vornehm M. , Wetzl J. , Schmidt M. , Tillmanns C. , Gebker R. , Giese D. , Knoll F. , Kuestner T. :Deep learning-based image reconstruction for higher resolution cardiac T1 mapping 2024 ISMRM & ISMRT Annual Meeting & Exhibition (Singapore 4. May 2024 - 9. May 2024 )In: Proceedings of the International Society for Magnetic Resonance in Medicine 2024 Ayde R. , Vornehm M. , Zhao Y. , Knoll F. , Wu EX. , Sarracanie M. :MRI at low field: A review of software solutions for improving SNR NMR in Biomedicine 38 2024 ), Article No.: e5268 ISSN: 0952-3480 10.1002/nbm.5268 Bae J. , Tan Z. , Solomon E. , Huang Z. , Heacock L. , Moy L. , Knoll F. , Kim SG. :Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods Magnetic Resonance in Medicine 2024 )ISSN: 0740-3194 10.1002/mrm.30152 Brock L. , Ben-Atya H. , Saar G. , Folle L. , Maier A. , Vandoorne K. , Freiman M. :T2 Distribution Analysis of Inflamed Bone Marrow Compartments in MR Images with Quantitative T2-mapping 2024 ISMRM & ISMRT Annual Meeting & Exhibition (Singapore 4. May 2024 - 9. May 2024 )Brock L. , Liebert A. , Schreiter H. , Ehring C. , Eberle J. , Laun FB. , Uder M. , Kapsner L. , Ohlmeyer S. , Knoll F. , Bickelhaupt S. :How to best match voxels - evaluating different sequential co-registration strategies for ultra-high b-value DWI in multiparametric breast MRI 2024 ISMRM & ISMRT Annual Meeting & Exhibition (Singapore 4. May 2024 - 9. May 2024 )Brock L. , Liebert A. , Schreiter H. , Skwierawska D. , Ehring C. , Eberle J. , Laun FB. , Uder M. , Kapsner L. , Ohlmeyer S. , Hadler D. , Knoll F. , Bickelhaupt S. :Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping 11th International Workshop on Biomedical Image Registration, WBIR 2024, held in conjunction with the 27th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024 (Marrakesh, MAR 6. October 2024 - 6. October 2024 )In: Marc Modat, Žiga Špiclin, Alessa Hering, Ivor Simpson, Wietske Bastiaansen, Tony C. W. Mok (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024 10.1007/978-3-031-73480-9_10 Fürnrohr F. , Wetzl J. , Vornehm M. , Giese D. , Knoll F. :Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction Bildverarbeitung für die Medizin 2024 (Erlangen 10. March 2024 - 12. March 2024 )In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024 , Wiesbaden 2024 10.1007/978-3-658-44037-4_81 Gösche E. , Eghbali R. , Knoll F. , Rauschecker AM. :Domain Influence in MRI Medical Image Segmentation: Spatial Versus k-Space Inputs 15th International Workshop on Machine Learning in Medical Imaging, Held in Conjunction with MICCAI 2024 (Marrakesh 6. October 2024 - 6. October 2024 )In: Xuanang Xu, Zhiming Cui, Islem Rekik, Xi Ouyang, Kaicong Sun (ed.): Machine Learning in Medical Imaging , Cham 2024 10.1007/978-3-031-73284-3_31 https://link.springer.com/chapter/10.1007/978-3-031-73284-3_31 Kim J. , Nickel MD. , Knoll F. :Assessment of Deep Learning-based Reconstruction with Imperfect Ground Truth for MRCP International Federation of Information Processing (IFIP) Technical Committee - 7 (TC-7) "System Modeling and Optimization" conferences (Hamburg, Germany 12. August 2024 - 16. August 2024 )In: Assessment of Deep Learning-based Reconstruction with Imperfect Ground Truth for MRCP 2024 Kim J. , Nickel MD. , Knoll F. :Deep Learning-based Reconstruction of Accelerated MR Cholangiopancreatography 2024 ISMRM & ISMRT Annual Meeting & Exhibition (Singapore 4. May 2024 - 9. May 2024 )In: Deep Learning-based Reconstruction of Accelerated MR Cholangiopancreatography 2024 Ott Y. , Vornehm M. , Wetzl J. , Giese D. , Knoll F. :Training deep learning reconstruction models for radial real-time cardiac cine MRI using synthetic golden-angle data 26th Annual Meeting of the German-speaking section of ISMRM (Tübingen 4. September 2024 - 5. September 2024 )Vornehm M. , Wetzl J. , Fürnrohr F. , Giese D. , Ahmad R. , Knoll F. :Low-Latency Reconstruction of Real-Time Cine MRI Using an Unrolled Network 2024 ISMRM & ISMRT Annual Meeting & Exhibition (Singapore 4. May 2024 - 9. May 2024 )In: Proceedings of the International Society for Magnetic Resonance in Medicine 2024 Vornehm M. , Wetzl J. , Fürnrohr F. , Giese D. , Ahmad R. , Knoll F. :Variational Network Meets Conjugate Gradient: Inline Reconstruction and Strain Analysis of Accelerated Cardiac Cine MRI 2024 ISMRM & ISMRT Annual Meeting & Exhibition (Singapore 4. May 2024 - 9. May 2024 )In: Proceedings of the International Society for Magnetic Resonance in Medicine 2024 Vornehm M. , Wetzl J. , Giese D. , Fürnrohr F. , Pang J. , Chow K. , Gebker R. , Ahmad R. , Knoll F. :CineVN: Variational network reconstruction for rapid functional cardiac cine MRI Magnetic Resonance in Medicine 93 2024 ), p. 138-150 ISSN: 0740-3194 10.1002/mrm.30260 Zaiß M. , Rajput JR. , Dang HN. , Golkov V. , Cremers D. , Knoll F. , Maier A. :Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant German Conference on Medical Image Computing, BVM 2024 (Erlangen 10. March 2024 - 12. March 2024 )In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024 , Wiesbaden 2024 10.1007/978-3-658-44037-4_28 2023 Amsel D. , Vornehm M. , Wetzl J. , Schmidt M. , Knoll F. :Deep learning-based accelerated T1 mapping for cardiac MRI 25. Jahrestagung der Deutschen Sektion der ISMRM (Berlin 6. September 2023 - 7. September 2023 )Brock L. , Ben-Atya H. , Saar G. , Folle L. , Maier A. , Freiman M. , Vandoorne K. :Deep Learning based T2 distribution estimation for bone marrow characterization in inflammation and aging European Molecular Imaging Meeting (EMIM) (Salzburg 14. March 2023 - 17. March 2023 )https://www.eventclass.org/contxt_emim2023/online-program/session?s=PW15#e685 https://www.eventclass.org/contxt_emim2023/online-program/session?s=PW15#e685 Hammernik K. , Kustner T. , Yaman B. , Huang Z. , Rueckert D. , Knoll F. , Akcakaya M. :Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging IEEE Signal Processing Magazine 40 2023 ), p. 98-114 ISSN: 1053-5888 10.1109/MSP.2022.3215288 Kim J. , Benkert T. , Riemenschneider B. , Nickel MD. , Knoll F. :Analysis of Deep Learning-based Reconstruction Models for Highly Accelerated MR Cholangiopancreatography: to Fine-tune or not to Fine-tune 2023 ISMRM & ISMRT Annual Meeting & Exhibition (Toronto, ON 3. June 2023 - 8. June 2023 )In: Analysis of Deep Learning-baed Reconstruction Models for Highly Accelerated MR Cholangiopancreatography: to Fine-tune or not to Fine-tune 2023 Kim J. , Nickel MD. , Knoll F. :Overview of Magnetic Resonance Imaging Reconstruction Methods Using Various Constraints to Solve the Ill-posed Problems Europe-Korea Conference on Science and Technology (Munich 14. August 2023 - 18. August 2023 )In: Overview of Magnetic Resonance Imaging Reconstruction Methods Using Various Constraints to Solve the Ill-posed Problems 2023 Schwarz A. , Werner R. , Wimmert L. , Vornehm M. , Gauer T. , Hofmann C. :Dose reduction in sequence scanning 4D CT imaging through respiratory signal-guided tube current modulation: A feasibility study Medical Physics 50 2023 ), p. 7539-7547 ISSN: 0094-2405 10.1002/mp.16785 Vornehm M. , Spiske U. , Fenski M. , Wetzl J. , Preuhs E. , Maier A. , Schulz-Menger J. , Giese D. :Fully Automatic Scar Segmentation on LGE Images with Reduced Contrast Agent Dose SCMR 26th Annual Scientific Sessions (San Diego, CA 25. January 2023 - 28. January 2023 )In: Proceedings of the SCMR 26th Annual Scientific Sessions 2023 Vornehm M. , Wetzl J. , Giese D. , Knoll F. :k-t Adaptive Regularization in Variational Networks for Cardiac Cine Reconstruction ISMRM Workshop on Data Sampling & Image Reconstruction (Sedona, AZ 8. January 2023 - 11. January 2023 )In: Proceedings of the ISMRM Workshop on Data Sampling & Image Reconstruction 2023 Vornehm M. , Wetzl J. , Giese D. , Knoll F. :Towards Low-Latency Deep Learning-Based Reconstruction of Real-Time Cine MRI 25. Jahrestagung der Deutschen Sektion der ISMRM (Berlin 6. September 2023 - 7. September 2023 )Vornehm M. , Wetzl J. , Giese D. , Pang J. , Ahmad R. , Knoll F. :Deep Learning-Based Reconstruction of Accelerated Cardiac Cine MRI at 0.55T 2023 ISMRM & ISMRT Annual Meeting & Exhibition (Toronto, ON 3. June 2023 - 8. June 2023 )In: Proceedings of the International Society for Magnetic Resonance in Medicine 2023 Werner R. , Schwarz A. , Wimmert L. , Buttgen L. , Vornehm M. , Gauer T. , Hofmann C. :Dose reduction for respiratory signal-guided step-and-shoot 4DCT by online dose modulation ESTRO 2023 (Vienna 12. May 2023 - 16. May 2023 )In: Radiotherapy and Oncology 2023 10.1016/S0167-8140(23)08960-0 Zach M. , Knoll F. , Pock T. :Stable Deep MRI Reconstruction using Generative Priors IEEE Transactions on Medical Imaging 2023 ), p. 1-1 ISSN: 0278-0062 10.1109/TMI.2023.3311345 2022 Kim J. , Gadjimuradov F. , Benkert T. , Vahle T. , Maier A. :Deep Learning-Based Respiratory Motion Correction in Free-Breathing Abodiminal Diffusion-Weighted Imaging Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (London 7. May 2022 - 12. May 2022 )Radmanesh A. , Muckley MJ. , Murrell T. , Lindsey E. , Sriram A. , Knoll F. , Sodickson DK. , Lui YW. :Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI Radiology: Artificial Intelligence 4 2022 ), Article No.: e210313 ISSN: 2638-6100 10.1148/ryai.210313 Vornehm M. , Fenski M. , Preuhs E. , Maier A. , Schulz-Menger J. , Wetzl J. , Giese D. :Improving the Sensitivity to Myocardial Scar in Automatic Segmentations of Left Ventricular Myocardium on LGE Images Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (London 7. May 2022 - 12. May 2022 )In: Proceedings of the International Society for Magnetic Resonance in Medicine 2022 https://index.mirasmart.com/ISMRM2022/PDFfiles/1014.html Vornehm M. , Fenski M. , Preuhs E. , Maier A. , Schulz-Menger J. , Wetzl J. , Giese D. :Myocardial scar segmentation on cardiac LGE images with reduced contrast agent dose using deep learning 24. Jahrestagung der Deutschen Sektion der ISMRM (Aachen 21. September 2022 - 24. September 2022 )In: Abstractband der 24. Jahrestagung der Deutschen Sektion der ISMRM 2022 Vornehm M. , Wetzl J. , Giese D. , Ahmad R. , Knoll F. :Spatiotemporal variational neural network for reconstruction of highly accelerated cardiac cine MRI Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR (London 5. May 2022 - 6. May 2022 )In: European Heart Journal - Cardiovascular Imaging 2022 10.1093/ehjci/jeac141.018 Zibetti MVW. , Knoll F. , Regatte RR. :Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications IEEE Transactions on Computational Imaging 2022 ), p. 1-1 ISSN: 2333-9403 10.1109/TCI.2022.3176129 2021 Werner R. , Szkitsak J. , Sentker T. , Madesta F. , Schwarz A. , Fernolendt S. , Vornehm M. , Gauer T. , Bert C. , Hofmann C. :Comparison of intelligent 4D CT sequence scanning and conventional spiral 4D CT: A first comprehensive phantom study Physics in Medicine and Biology 66 2021 ), Article No.: 015004 ISSN: 0031-9155 10.1088/1361-6560/abc93a 2020
