Julian Hoßbach

2023

Conference Contributions

• Hoßbach J., Splitthoff DN., Cauley S., Clifford B., Polak D., Maier A.:
  Severe MR Motion Artefact Correction with 2 step Deep Learning-based guidance
  2023 ISMRM & ISMRT Annual Meeting & Exhibition (Toronto, June 3, 2023 - June 8, 2023)
  BibTeX: Download
• Pfaff L., Wagner F., Hoßbach J., Preuhs E., Nickel MD., Wuerfl T., Maier A.:
  Quantitative evaluation of denoising algorithms without noise-free ground-truth data
  ISMRM
  BibTeX: Download
• Pfaff L., Wagner F., Hoßbach J., Preuhs E., Maul N., Thies M., Denzinger F., Nickel MD., Wuerfl T., Maier A.:
  Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets
  International Symposium on Biomedical Imaging (ISBI)
  BibTeX: Download
• Pfaff L., Wagner F., Hoßbach J., Preuhs E., Gadjimuradov F., Benkert T., Nickel MD., Wuerfl T., Maier A.:
  Unsupervised denoising of prostate DWI
  ISMRM
  BibTeX: Download

2022

Journal Articles

• Hoßbach J., Splitthoff DN., Cauley S., Clifford B., Polak D., Lo WC., Meyer H., Maier A.:
  Deep learning-based motion quantification from k-space for fast model-based magnetic resonance imaging motion correction
  In: Medical Physics (2022)
  ISSN: 0094-2405
  DOI: 10.1002/mp.16119
  BibTeX: Download

Conference Contributions

• Pfaff L., Hoßbach J., Preuhs E., Arroyo Camejo S., Nickel MD., Maier A., Wuerfl T.:
  Training a tunable, spatially-adaptive denoiser without clean targets
  ISMRM
  BibTeX: Download

2021

Conference Contributions

• Hoßbach J., Splitthoff D., Clifford B., Polak D., Cauley S., Maier A.:
  Prospective motion assessment within multi-shot imaging using coil mixing of the data consistency error and deep learning
  ISMRM & SMRT Annual Conference & Exhibition (Virtual, May 15, 2021 - September 21, 2022)
  BibTeX: Download

2020

Conference Contributions

• Hoßbach J., Splitthoff D., Cauley S., Maier A.:
  MoPED: Motion Parameter Estimation DenseNet for accelerating retrospective motion correction
  ISMRM & SMRT Virtual Conference & Exhibition (, August 8, 2020 - September 14, 2022)
  BibTeX: Download
• Hoßbach J., Husvogt L., Kraus M., Fujimoto JG., Maier A.:
  Deep OCT angiography image generation for motion artifact suppression
  International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
  In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
  DOI: 10.1007/978-3-658-29267-6_55
  BibTeX: Download

2019

Journal Articles

• Haskell M., Cauley S., Belgic B., Hoßbach J., Splitthoff D., Pfeuffer J., Setsompop K., Wald L.:
  Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model
  In: Magnetic Resonance in Medicine 82 (2019), p. 1452-1461
  ISSN: 0740-3194
  DOI: 10.1002/mrm.27771
  BibTeX: Download

Conference Contributions

• Hoßbach J., Splitthoff D., Haskell M., Cauley S., Meyer H., Pfeuffer J., Maier A.:
  Deep Neural Networks for Motion Estimation in k-space: Applications and Design
  Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition) (Montreal, May 11, 2019 - May 16, 2019)
  In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2019
  BibTeX: Download

2015

Conference Contributions

• Blank P., Hoßbach J., Schuldhaus D., Eskofier B.:
  Sensor-based stroke detection and stroke type classification in table tennis
  The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Osaka, September 7, 2015 - September 11, 2015)
  In: Proceedings of the 2015 ACM International Symposium on Wearable Computers 2015
  DOI: 10.1145/2802083.2802087
  BibTeX: Download

2019

• Deep Neural Networks for Motion Estimation in k-space: Applications and Design
  (Speech / Talk)
  May 15, 2019, Event: Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition) (Montreal, May 11, 2019 - May 16, 2019)
• Deep Neural Networks for Motion Estimation in MRI scans
  (Speech / Talk)
  May 23, 2019, Event: Invited talk