Active learning for magnetic resonance image quality assessment. - Annika Liebgott; Thomas Kustner; Sergios Gatidis; Fritz Schick; Bin Yang 009 (ICASSP, 2016)

An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment. - Thomas Kustner; Philip Wolf; Martin Schwartz; Annika Liebgott; Fritz Schick; Sergios Gatidis; Bin Yang 009 (ISBI, 2017)

Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging. - Sebastian Milde; Annika Liebgott; Ziwei Wu; Wenyi Feng; Jiahuan Yang; Lukas Mauch; Petros Martirosian; Fabian Bamberg; Konstantin Nikolaou; Sergios Gatidis; Fritz Schick; Bin Yang 009; et al. (APSIPA, 2018)

Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging. - Thomas Kustner; Marvin Jandt; Annika Liebgott; Lukas Mauch; Petros Martirosian; Fabian Bamberg; Konstantin Nikolaou; Sergios Gatidis; Fritz Schick; Bin Yang 009 (ICASSP, 2018)

Automated Detection of High FDG Uptake Regions in CT Images. - Annika Liebgott; Florian Liebgott; Bin Yang 009; Sergios Gatidis; Konstantin Nikolaou (ICASSP, 2018)

ImFEATbox: a toolbox for extraction and analysis of medical image features. - Annika Liebgott; Thomas Küstner; Heiko Strohmeier; Tobias Hepp 002; Philipp Mangold; Petros Martirosian; Fabian Bamberg; Konstantin Nikolaou; Bin Yang 009; Sergios Gatidis (Int. J. Comput. Assist. Radiol. Surg., 2018)

A Machine-learning framework for automatic reference-free quality assessment in MRI. - Thomas Küstner; Sergios Gatidis; Annika Liebgott; Martin Schwartz; Lukas Mauch; Petros Martirosian; Holger Schmidt; Nina F. Schwenzer; Konstantin Nikolaou; Fabian Bamberg; Bin Yang 009; Fritz Schick (CoRR, 2018)

Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks. - Annika Liebgott; Darius Hinderer; Karim Armanious; Alexander Bartler; Konstantin Nikolaou; Sergios Gatidis; Bin Yang 009 (EUSIPCO, 2019)

Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging. - Annika Liebgott; Sergios Gatidis; Viet Chau Vu; Tobias Haueise; Konstantin Nikolaou; Bin Yang 009 (EUSIPCO, 2020)

Spectrum-Based Online Estimation of IQ Imbalance for Near Field Radar Distance Sensors. - Florian Liebgott; Marvin Jandt; Mark Eberspächer; Annika Liebgott; Bin Yang 009 (EUSIPCO, 2021)

Towards Combined Event Detection and Classification for Non-Intrusive Load Monitoring Using Convolutional Neural Networks. - Florian Liebgott; Annika Liebgott; Bin Yang 009 (EUSIPCO, 2021)

Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder. - Annika Liebgott; Charlotte Lorenz; Sergios Gatidis; Viet Chau Vu; Konstantin Nikolaou; Bin Yang 009 (ICASSP, 2021)

A Comparative Study on the Potential of Unsupervised Deep Learning-based Feature Selection in Radiomics. - Tobias Haueise; Annika Liebgott; Bin Yang 009 (EMBC, 2022)