An EM Based Training Algorithm for Recurrent Neural Networks. - Jan Unkelbach; Yi Sun 003; Jürgen Schmidhuber (ICANN (1), 2009)

Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. - Florian Dittmann 002; Bjoern H. Menze; Ender Konukoglu; Jan Unkelbach (MBIA, 2013)

Bayesian Personalization of Brain Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (MICCAI (2), 2015)

GPSSI: Gaussian Process for Sampling Segmentations of Images. - Matthieu Lê; Jan Unkelbach; Nicholas Ayache; Hervé Delingette (MICCAI (3), 2015)

Optimization of Radiation Therapy Fractionation Schedules in the Presence of Tumor Repopulation. - Thomas Bortfeld; Jagdish Ramakrishnan; John N. Tsitsiklis; Jan Unkelbach (INFORMS J. Comput., 2015)

Sampling image segmentations for uncertainty quantification. - Matthieu Lê; Jan Unkelbach; Nicholas Ayache; Hervé Delingette (Medical Image Anal., 2016)

MRI Based Bayesian Personalization of a Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (IEEE Trans. Medical Imaging, 2016)

Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. - Matthieu Lê; Hervé Delingette; Jayashree Kalpathy-Cramer; Elizabeth R. Gerstner; Tracy Batchelor; Jan Unkelbach; Nicholas Ayache (IEEE Trans. Medical Imaging, 2017)

Volumetric memory network for interactive medical image segmentation. - Tianfei Zhou; Liulei Li; Gustav Bredell; Jianwu Li; Jan Unkelbach; Ender Konukoglu (Medical Image Anal., 2023)