Annika Liebgott

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 13

Top Topics

Organ Segmentation

Automated Detection

Image Quality Assessment

Magnetic Resonance

Top Venues

Publications

Tobias Haueise, Annika Liebgott, Bin Yang
A Comparative Study on the Potential of Unsupervised Deep Learning-based Feature Selection in Radiomics. EMBC (2022)
Annika Liebgott, Charlotte Lorenz, Sergios Gatidis, Viet Chau Vu, Konstantin Nikolaou, Bin Yang
Automated Multi-Organ Segmentation in Pet Images Using Cascaded Training of a 3d U-Net and Convolutional Autoencoder. ICASSP (2021)
Florian Liebgott, Marvin Jandt, Mark Eberspächer, Annika Liebgott, Bin Yang
Spectrum-Based Online Estimation of IQ Imbalance for Near Field Radar Distance Sensors. EUSIPCO (2021)
Florian Liebgott, Annika Liebgott, Bin Yang
Towards Combined Event Detection and Classification for Non-Intrusive Load Monitoring Using Convolutional Neural Networks. EUSIPCO (2021)
Annika Liebgott, Sergios Gatidis, Viet Chau Vu, Tobias Haueise, Konstantin Nikolaou, Bin Yang
Feature-based Response Prediction to Immunotherapy of late-stage Melanoma Patients Using PET/MR Imaging. EUSIPCO (2020)
Annika Liebgott, Darius Hinderer, Karim Armanious, Alexander Bartler, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks. EUSIPCO (2019)
Annika Liebgott, Florian Liebgott, Bin Yang, Sergios Gatidis, Konstantin Nikolaou
Automated Detection of High FDG Uptake Regions in CT Images. ICASSP (2018)
Annika Liebgott, Thomas Küstner, Heiko Strohmeier, Tobias Hepp, Philipp Mangold, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Bin Yang, Sergios Gatidis
ImFEATbox: a toolbox for extraction and analysis of medical image features. Int. J. Comput. Assist. Radiol. Surg. 13 (12) (2018)
Sebastian Milde, Annika Liebgott, Ziwei Wu, Wenyi Feng, Jiahuan Yang, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang, Thomas Kustner
Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging. APSIPA (2018)
Thomas Küstner, Sergios Gatidis, Annika Liebgott, Martin Schwartz, Lukas Mauch, Petros Martirosian, Holger Schmidt, Nina F. Schwenzer, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick
A Machine-learning framework for automatic reference-free quality assessment in MRI. CoRR (2018)
Thomas Kustner, Marvin Jandt, Annika Liebgott, Lukas Mauch, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Sergios Gatidis, Fritz Schick, Bin Yang
Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging. ICASSP (2018)
Thomas Kustner, Philip Wolf, Martin Schwartz, Annika Liebgott, Fritz Schick, Sergios Gatidis, Bin Yang
An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment. ISBI (2017)
Annika Liebgott, Thomas Kustner, Sergios Gatidis, Fritz Schick, Bin Yang
Active learning for magnetic resonance image quality assessment. ICASSP (2016)