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Anja Hennemuth
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Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge


Aug 10, 2021
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, Fabrice Meriaudeau

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Figure 1 for Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Figure 2 for Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
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Figure 4 for Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
* Submitted to Medical Image Analysis 
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Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation


Jun 21, 2021
Nader Aldoj, Federico Biavati, Marc Dewey, Anja Hennemuth, Patrick Asbach, Ingolf Sack

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Figure 1 for Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
Figure 2 for Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
Figure 3 for Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
Figure 4 for Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation

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Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks


Sep 16, 2020
Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey

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Figure 1 for Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
Figure 2 for Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
Figure 3 for Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
Figure 4 for Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
* 9 pages, 4 figures 
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