Tensor Voting: Current State, Challenges and New Trends in the Context of Medical Image Analysis. - Daniel Jörgens; Rodrigo Moreno (Visualization and Processing of Higher Order Descriptors for Multi-Valued Data, 2015)

Steering second-order tensor voting by vote clustering. - Daniel Jörgens; Örjan Smedby; Rodrigo Moreno (ISBI, 2016)

Segmentation of cortical bone using fast level sets. - Manish Chowdhury; Daniel Jörgens; Chunliang Wang; Örjan Smedby; Rodrigo Moreno (Image Processing, 2017)

Tractography and machine learning: Current state and open challenges. - Philippe Poulin; Daniel Jörgens; Pierre-Marc Jodoin; Maxime Descoteaux (CoRR, 2019)

Development and application of rule- and learning-based approaches within the scope of neuroimaging: Tensor voting, tractography and machine learning. - Daniel Jörgens (2020)

Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram Filtering. - Antonia Hain; Daniel Jörgens; Rodrigo Moreno (CoRR, 2022)

Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering. - Daniel Jörgens; Pierre-Marc Jodoin; Maxime Descoteaux; Rodrigo Moreno (CoRR, 2023)

Randomized iterative spherical-deconvolution informed tractogram filtering. - Antonia Hain; Daniel Jörgens; Rodrigo Moreno (NeuroImage, 2023)