| A joint deep learning approach for automated liver and tumor segmentation N Gruber, S Antholzer, W Jaschke, C Kremser, M Haltmeier 2019 13th international conference on sampling theory and applications …, 2019 | 66 | 2019 |
| Magnetic resonance spectroscopy in diagnosis and follow-up of gliomas: state-of-the-art M Galijasevic, R Steiger, S Mangesius, J Mangesius, J Kerschbaumer, ... Cancers 14 (13), 3197, 2022 | 17 | 2022 |
| A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates N Gruber, M Galijasevic, M Regodic, AE Grams, C Siedentopf, R Steiger, ... Artificial Intelligence in Medicine 132, 102384, 2022 | 11 | 2022 |
| The association of allergic asthma and carotid intima-media thickness in adolescence: data of the prospective early vascular ageing (EVA)-Tyrol cohort study B Winder, SJ Kiechl, NM Gruber, B Bernar, N Gande, A Staudt, K Stock, ... BMC Cardiovascular Disorders 22 (1), 11, 2022 | 6 | 2022 |
| Mental imagery of whole-body motion along the sagittal-anteroposterior axis K Patel, D Beaver, N Gruber, G Printezis, I Giannopulu Scientific Reports 12 (1), 14345, 2022 | 3 | 2022 |
| Variational multichannel multiclass segmentation using unsupervised lifting with CNNs N Gruber, J Schwab, E Gizewski, M Haltmeier AIP Conference Proceedings 3094 (1), 2024 | 1 | 2024 |
| Lifting-based variational multiclass segmentation algorithm: Design, convergence analysis, and implementation with applications in medical imaging N Gruber, J Schwab, S Court, ER Gizewski, M Haltmeier Journal of Computational and Applied Mathematics 439, 115583, 2024 | 1 | 2024 |
| Sparse2Inverse: Self-supervised inversion of sparse-view CT data N Gruber, J Schwab, E Gizewski, M Haltmeier arXiv preprint arXiv:2402.16921, 2024 | 1 | 2024 |
| Non-stationary deep lifting with application to acute brain infarct segmentation N Gruber, M Haltmeier, A ter Telgte, J Schwab, E Gizewski, M Galijasevic Medical Imaging with Deep Learning, 2022 | 1 | 2022 |
| Single-Image based unsupervised joint segmentation and denoising N Gruber, J Schwab, N Debroux, N Papadakis, M Haltmeier | | 2023 |
| Self2Seg: Single-Image Self-Supervised Joint Segmentation and Denoising N Gruber, J Schwab, N Debroux, N Papadakis, M Haltmeier arXiv preprint arXiv:2309.10511, 2023 | | 2023 |
| Variational multichannel multiclass segmentation\endgraf using unsupervised lifting with CNNs. N Gruber, J Schwab, Sébastien Court, ER Gizewski, M Haltmeier CoRR, 2023 | | 2023 |
| A Joint Variational Multichannel Multiphase Segmentation Framework. N Gruber, J Schwab, S Court, E Gizewski, M Haltmeier CoRR, 2022 | | 2022 |
| Effektivität und Sicherheit von ReoPro® im Rahmen der endovaskularen Behandlung von zerebralen Aneurysmen A Grams, M Wildauer, N Gruber, E Gizewski RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2020 | | 2020 |
Markus HaltmeierProfessor of Mathematics, University of InnsbruckПотвърден имейл адрес: uibk.ac.at