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Uncertainty-Based Biological Age Estimation of Brain MRI Scans


Mar 15, 2021
Karim Armanious, Sherif Abdulatif, Wenbin Shi, Tobias Hepp, Sergios Gatidis, Bin Yang

* Accepted in ICASSP 2021. 5 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:2009.10765 

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Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation


Nov 29, 2020
August DuMont Schütte, Jürgen Hetzel, Sergios Gatidis, Tobias Hepp, Benedikt Dietz, Stefan Bauer, Patrick Schwab


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Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation


Sep 22, 2020
Karim Armanious, Sherif Abdulatif, Wenbin Shi, Shashank Salian, Thomas Küstner, Daniel Weiskopf, Tobias Hepp, Sergios Gatidis, Bin Yang

* 10 pages, 11 figures, 2 tables 

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Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies


Aug 05, 2020
Thomas Küstner, Tobias Hepp, Marc Fischer, Martin Schwartz, Andreas Fritsche, Hans-Ulrich Häring, Konstantin Nikolaou, Fabian Bamberg, Bin Yang, Fritz Schick, Sergios Gatidis, Jürgen Machann

* This manuscript has been accepted for publication in Radiology: Artificial Intelligence (https://pubs.rsna.org/journal/ai), which is published by the Radiological Society of North America (RSNA) 

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ipA-MedGAN: Inpainting of Arbitrarily Regions in Medical Modalities


Oct 21, 2019
Karim Armanious, Vijeth Kumar, Sherif Abdulatif, Tobias Hepp, Sergios Gatidis, Bin Yang

* Submitted to IEEE ICASSP 2020 

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Organ-based Age Estimation based on 3D MRI Scans


Oct 14, 2019
Karim Armanious, Sherif Abdulatif, Anish Rao Bhaktharaguttu, Thomas Küstner, Tobias Hepp, Sergios Gatidis, Bin Yang

* Submitted to IEEE ISBI 2020 

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An update on statistical boosting in biomedicine


Feb 27, 2017
Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Olaf Gefeller, Matthias Schmid


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Probing for sparse and fast variable selection with model-based boosting


Feb 15, 2017
Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl

* 14 pages, 2 figures 

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