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ORCIDMatthias Schwab
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2020 – today
- 2025
[i6]Matthias Schwab, Mathias Pamminger, Christian Kremser, Agnes Mayr:
Deep Learning Pipeline for Fully Automated Myocardial Infarct Segmentation from Clinical Cardiac MR Scans. CoRR abs/2502.03272 (2025)- [i5]Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhof, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-jin Shin, Park Ji-Woo, Mathew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, Xiaokun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Muller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Jun Ma, Yuyin Zhou, Michol A. Cooper, Wei Shao:
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. CoRR abs/2502.05330 (2025) - 2024
- [j7]Roland Opfer
, Tjalf Ziemssen, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Carola Gocke, Matthias Schwab, Ralph Buchert:
Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning. Comput. Biol. Medicine 183: 109289 (2024) - [c3]Matthias Schwab, Agnes Mayr, Markus Haltmeier:
Deep Gaussian Mixture Model for Unsupervised Image Segmentation. LOD (2) 2024: 339-352 - [i4]Matthias Schwab, Agnes Mayr, Markus Haltmeier:
Deep Gaussian mixture model for unsupervised image segmentation. CoRR abs/2404.12252 (2024) - [i3]Andrea Ebner, Matthias Schwab, Markus Haltmeier:
Error Estimates for Data-driven Weakly Convex Frame-based Image Regularization. CoRR abs/2406.17461 (2024) - 2023
- [j6]Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml:
Surface topography characterization using a simple optical device and artificial neural networks. Eng. Appl. Artif. Intell. 123(Part B): 106337 (2023) - [j5]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34(5): 82 (2023) - [j4]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Correction: Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34(6): 119 (2023) - [i2]Matthias Schwab, Mathias Pamminger, Christian Kremser, Daniel Obmann, Markus Haltmeier, Agnes Mayr:
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images. CoRR abs/2306.14725 (2023) - 2022
- [i1]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction. CoRR abs/2201.12170 (2022)
2010 – 2019
- 2018
- [j3]Katja Franke, Christian Gaser, Tessa J. Roseboom, Matthias Schwab, Susanne R. de Rooij:
Premature brain aging in humans exposed to maternal nutrient restriction during early gestation. NeuroImage 173: 460-471 (2018) - 2016
- [c2]Katja Franke, Robert Dahnke, Geoffrey Clarke, Anderson Kuo, Cun Li, Peter Nathanielsz, Matthias Schwab, Christian Gaser:
MRI based biomarker for brain aging in rodents and non-human primates. PRNI 2016: 1-4
2000 – 2009
- 2006
- [c1]Karin Schwab, Tobias Groh, Matthias Schwab, Herbert Witte:
Time-Variant Analysis of Nonlinear Stability and Bispectral Measures to Quantify the Development of Fetal Sleep States. EMBC 2006: 1454-1457 - 2000
- [j2]Matthias Schwab, N. Karrenbach, Jon F. Claerbout:
Making scientific computations reproducible. Comput. Sci. Eng. 2(6): 61-67 (2000)
1990 – 1999
- 1998
- [j1]Matthias Schwab, Joel Schroeder:
Algebraic Java classes for numerical optimization. Concurr. Pract. Exp. 10(11-13): 1155-1164 (1998)
Coauthor Index
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