Matthias Schwab

According to our database, Matthias Schwab authored at least 15 papers between 1998 and 2025.

Collaborative distances:

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

2025

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge.

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 Kirchhoff, 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 Müller, 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

CoRR, February, 2025

Deep Learning Pipeline for Fully Automated Myocardial Infarct Segmentation from Clinical Cardiac MR Scans.

Matthias Schwab, Mathias Pamminger, Christian Kremser, Agnes Mayr

CoRR, February, 2025

Error Estimates for Weakly Convex Frame-Based Regularization Including Learned Filters.

Andrea Ebner, Matthias Schwab, Markus Haltmeier

SIAM J. Imaging Sci., 2025

Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images.

Matthias Schwab, Mathias Pamminger, Christian Kremser, Daniel Obmann, Markus Haltmeier, Agnes Mayr

Medical Image Anal., 2025

2024

Error Estimates for Data-driven Weakly Convex Frame-based Image Regularization.

Andrea Ebner, Matthias Schwab, Markus Haltmeier

CoRR, 2024

Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning.

Roland Opfer, Tjalf Ziemssen, Julia Krüger, Thomas Buddenkotte, Lothar Spies, Carola Gocke, Matthias Schwab, Ralph Buchert

Comput. Biol. Medicine, 2024

Deep Gaussian Mixture Model for Unsupervised Image Segmentation.

Matthias Schwab, Agnes Mayr, Markus Haltmeier

Proceedings of the Machine Learning, Optimization, and Data Science, 2024

2023

Correction: Unsupervised single-shot depth estimation using perceptual reconstruction.

Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson

Mach. Vis. Appl., November, 2023

Unsupervised single-shot depth estimation using perceptual reconstruction.

Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson

Mach. Vis. Appl., September, 2023

Surface topography characterization using a simple optical device and artificial neural networks.

Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml

Eng. Appl. Artif. Intell., 2023

2018

Premature brain aging in humans exposed to maternal nutrient restriction during early gestation.

Katja Franke, Christian Gaser, Tessa J. Roseboom, Matthias Schwab, Susanne R. de Rooij

NeuroImage, 2018

2016

MRI based biomarker for brain aging in rodents and non-human primates.

Katja Franke, Robert Dahnke, Geoffrey Clarke, Anderson Kuo, Cun Li, Peter Nathanielsz, Matthias Schwab, Christian Gaser

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2006

Time-Variant Analysis of Nonlinear Stability and Bispectral Measures to Quantify the Development of Fetal Sleep States.

Karin Schwab, Tobias Groh, Matthias Schwab, Herbert Witte

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2000

Making scientific computations reproducible.

Matthias Schwab, N. Karrenbach, Jon F. Claerbout

Comput. Sci. Eng., 2000

1998

Algebraic Java classes for numerical optimization.

Matthias Schwab, Joel Schroeder

Concurr. Pract. Exp., 1998