Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Active Learning for automated reference-free MR image quality assessment: descreasing the number of required training samples by reduction of intra-batch redundancy

A. Liebgott, D. Boborzi, S. Gatidis, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Paris, France, (June 2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, and B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, and T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Annika Liebgott

Amelie Liebgott University of Stuttgart

Annika Ackermann University of Stuttgart

Annika Wagner University of Stuttgart

Other publications of authors with the same name

Reinforcement Learning for Automated Reference-free MR Image Quality AssessmentA. Liebgott, J. Yi, T. Küstner, K. Nikolaou, B. Yang, and S. Gatidis. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, (May 2019)Feature Reduction and Selection: a Study on their Importance in the Context of RadiomicsA. Liebgott, J. Steyer-Ege, T. Hepp, T. Küstner, K. Nikolaou, B. Yang, and S. Gatidis. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, (May 2019)Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance ImagingT. Küstner, M. Jandt, A. Liebgott, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis, F. Schick, and B. Yang. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2018)ImFEATbox: An MR Image Processing Toolbox for Extracting and Analyzing FeaturesA. Liebgott, S. Gatidis, P. Martirosian, F. Schick, B. Yang, and T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional AutoencoderA. Liebgott, C. Lorenz, S. Gatidis, V. Vu, K. Nikolaou, and B. Yang. ICASSP 2021 : 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), page 1100-1104. Piscataway, IEEE, (2021)ImFEATbox - A Toolbox for Extraction and Analysis of Medical Image FeaturesA. Liebgott, T. Küstner, H. Strohmeier, T. Hepp, P. Mangold, P. Martirosian, F. Bamberg, K. Nikolaou, B. Yang, and S. Gatidis. International Journal of Computer Assisted Radiology and Surgery, (2018)Automatic reference-free detection and quantification of MR image artifacts in human examinations due to motionT. Küstner, A. Liebgott, L. Mauch, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, and S. Gatidis. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)Effects of simulated dose variation on contrast-enhanced CT-based radiomic analysis for Non-Small Cell Lung CancerT. Hepp, A. Othman, A. Liebgott, J. Kim, C. Pfannenberg, and S. Gatidis. European Journal of Radiology, (2020)Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance ImagingS. Milde, A. Liebgott, Z. Wu, W. Feng, J. Yang, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis and 3 other author(s). 2018 10th Asia-Pacific Signal And Information Processing Association Annual Summit And Conference (APSIPA ASC), page 838-847. IEEE, (2018)Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Motion Artifact DetectionS. Milde, A. Liebgott, Z. Wu, W. Feng, J. Yang, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis and 3 other author(s). Proceedings of the IEEE Asia-Pacific Signal and Information Processing Association (APSIPA), (2018)