A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation. - Nadja Gruber; Stephan Antholzer; Werner Jaschke; Christian Kremser; Markus Haltmeier (CoRR, 2019)

A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates. - Nadja Gruber; Malik Galijasevic; Milovan Regodic; Astrid Ellen Grams; Christian M. Siedentopf; Ruth Steiger; Marlene Hammerl; Markus Haltmeier; Elke Ruth Gizewski; Tanja Janjic (Artif. Intell. Medicine, 2022)

A Joint Variational Multichannel Multiphase Segmentation Framework. - Nadja Gruber; Johannes Schwab; Sébastien Court; Elke Ruth Gizewski; Markus Haltmeier (CoRR, 2022)

Variational multichannel multiclass segmentation endgraf using unsupervised lifting with CNNs. - Nadja Gruber; Johannes Schwab; Sébastien Court; Elke Ruth Gizewski; Markus Haltmeier (CoRR, 2023)

Single-Image based unsupervised joint segmentation and denoising. - Nadja Gruber; Johannes Schwab; Noémie Debroux; Nicolas Papadakis; Markus Haltmeier (CoRR, 2023)

Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging. - Nadja Gruber; Johannes Schwab; Sébastien Court; Elke Ruth Gizewski; Markus Haltmeier (J. Comput. Appl. Math., 2024)

Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise. - Nadja Gruber; Johannes Schwab; Markus Haltmeier; Ander Biguri; Clemens Dlaska; Gyeongha Hwang (IEEE Access, 2025)