Annika Liebgott

According to our database, Annika Liebgott authored at least 13 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A Comparative Study on the Potential of Unsupervised Deep Learning-based Feature Selection in Radiomics.

Tobias Haueise, Annika Liebgott, Bin Yang

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

Proceedings of the IEEE International Conference on Acoustics, 2021

Towards Combined Event Detection and Classification for Non-Intrusive Load Monitoring Using Convolutional Neural Networks.

Florian Liebgott, Annika Liebgott, Bin Yang

Proceedings of the 29th European Signal Processing Conference, 2021

Spectrum-Based Online Estimation of IQ Imbalance for Near Field Radar Distance Sensors.

Florian Liebgott, Marvin Jandt, Mark Eberspächer, Annika Liebgott, Bin Yang

Proceedings of the 29th European Signal Processing Conference, 2021

2020

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

Proceedings of the 28th European Signal Processing Conference, 2020

2019

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

Proceedings of the 27th European Signal Processing Conference, 2019

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, Fritz Schick

CoRR, 2018

ImFEATbox: a toolbox for extraction and analysis of medical image features.

Annika Liebgott, Thomas Küstner, Heiko Strohmeier, Tobias Hepp, Philipp Mangold, Petros Martirosian, Fabian Bamberg, Konstantin Nikolaou, Bin Yang, Sergios Gatidis

Int. J. Comput. Assist. Radiol. Surg., 2018

Automated Detection of High FDG Uptake Regions in CT Images.

Annika Liebgott, Florian Liebgott, Bin Yang, Sergios Gatidis, Konstantin Nikolaou

Proceedings of the 2018 IEEE International Conference on Acoustics, 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

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

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, Thomas Kustner

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

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

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Active learning for magnetic resonance image quality assessment.

Annika Liebgott, Thomas Kustner, Sergios Gatidis, Fritz Schick, Bin Yang

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016