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)

TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment. - Alexander Katzmann; Alexander Mühlberg; Michael Sühling; Dominik Nörenberg; Julian Walter Holch; Horst-Michael Groß (IJCNN, 2018)

Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model. - Alexander Katzmann; Alexander Mühlberg; Michael Sühling; Dominik Nörenberg; Stefan Maurus; Julian Walter Holch; Volker Heinemann; Horst-Michael Groß (PRIME@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)

Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data. - Alexander Katzmann; Alexander Muehlberg; Michael Sühling; Dominik Nörenberg; Julian Walter Holch; Horst-Michael Gross (ISBI, 2020)

Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. - Leonhard Rist; Oliver Taubmann; Alexander Mühlberg; Felix Denzinger; Florian Thamm; Michael Sühling; Dominik Nörenberg; Julian Walter Holch; Stefan Maurus; Leonie Gebauer; Thomas Huber; Andreas Maier 001 (ISBI, 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)