Nadja Gruber

According to our database, Nadja Gruber authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

2024

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., March, 2024

2023

Single-Image based unsupervised joint segmentation and denoising.

Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier

CoRR, 2023

Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs.

Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier

CoRR, 2023

2022

A Joint Variational Multichannel Multiphase Segmentation Framework.

Nadja Gruber, Johannes Schwab, Sébastien Court, Elke Ruth Gizewski, Markus Haltmeier

CoRR, 2022

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

2019

A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation.

Nadja Gruber, Stephan Antholzer, Werner Jaschke, Christian Kremser, Markus Haltmeier

CoRR, 2019