Publications

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
  In: NMR in Biomedicine 38 (2024), Article No.: e5268
  ISSN: 0952-3480
  DOI: 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
  In: Magnetic Resonance in Medicine (2024)
  ISSN: 0740-3194
  DOI: 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
  DOI: 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
  DOI: 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
  DOI: 10.1007/978-3-031-73284-3_31
  URL: 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
  In: Magnetic Resonance in Medicine 93 (2024), p. 138-150
  ISSN: 0740-3194
  DOI: 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
  DOI: 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)
  Open Access: https://www.eventclass.org/contxt_emim2023/online-program/session?s=PW15#e685
  URL: 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
  In: IEEE Signal Processing Magazine 40 (2023), p. 98-114
  ISSN: 1053-5888
  DOI: 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
  In: Medical Physics 50 (2023), p. 7539-7547
  ISSN: 0094-2405
  DOI: 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
  DOI: 10.1016/S0167-8140(23)08960-0
• Zach M., Knoll F., Pock T.:
  Stable Deep MRI Reconstruction using Generative Priors
  In: IEEE Transactions on Medical Imaging (2023), p. 1-1
  ISSN: 0278-0062
  DOI: 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
  In: Radiology: Artificial Intelligence 4 (2022), Article No.: e210313
  ISSN: 2638-6100
  DOI: 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
  URL: 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
  DOI: 10.1093/ehjci/jeac141.018
• Zibetti MVW., Knoll F., Regatte RR.:
  Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications
  In: IEEE Transactions on Computational Imaging (2022), p. 1-1
  ISSN: 2333-9403
  DOI: 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
  In: Physics in Medicine and Biology 66 (2021), Article No.: 015004
  ISSN: 0031-9155
  DOI: 10.1088/1361-6560/abc93a

2020

• Werner R., Sentker T., Madesta F., Schwarz A., Vornehm M., Gauer T., Hofmann C.:
  Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT
  In: Medical Physics 47 (2020), p. 2408-2412
  ISSN: 0094-2405
  DOI: 10.1002/mp.14106