Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields. - Patrick Ferdinand Christ; Mohamed Ezzeldin A. Elshaer; Florian Ettlinger; Sunil Tatavarty; Marc Bickel; Patrick Bilic; Markus Rempfler; Marco Armbruster; Felix Hofmann; Melvin D'Anastasi; Wieland H. Sommer; Seyed-Ahmad Ahmadi; et al. (MICCAI (2), 2016)

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks. - Patrick Ferdinand Christ; Florian Ettlinger; Felix Grün; Mohamed Ezzeldin A. Elshaer; Jana Lipková; Sebastian Schlecht; Freba Ahmaddy; Sunil Tatavarty; Marc Bickel; Patrick Bilic; Markus Rempfler; Felix Hofmann; et al. (CoRR, 2017)

Interval Input-State-Output Estimation for Linear Port-Hamiltonian Systems with Application to Power Distribution Systems. - Martin Pfeifer; Stefan Krebs; Felix Hofmann; Martin Kupper; Sören Hohmann (CDC, 2019)

Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shape. - Amirhossein Bayat; Anjany Sekuboyina; Felix Hofmann; Malek El Husseini; Jan S. Kirschke; Bjoern H. Menze (CSI@MICCAI, 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Phase Retrieval using Single-Instance Deep Generative Prior. - Kshitij Tayal; Raunak Manekar; Zhong Zhuang; David Yang; Vipin Kumar 001; Felix Hofmann; Ju Sun (CoRR, 2021)

Practical phase retrieval using double deep image priors. - Zhong Zhuang; David Yang; Felix Hofmann; David Barmherzig; Ju Sun (Computational Imaging, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)