Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks

Autor: Anke Meyer-Bäse, Rodney G. Roberts, Ignacio A. Illan, Uwe Meyer-Bäse, Marc Lobbes, Andreas Stadlbauer, Katja Pinker-Domenig

Publikováno v: Frontiers in Computational Neuroscience, Vol 11 (2017)

Neuroimaging in combination with graph theory has been successful in analyzing the functional connectome. However almost all analysis are performed based on static graph theory. The derived quantitative graph measures can only describe a snap shot of

Externí odkaz: https://doaj.org/article/a188a98df2904387a2d1570ec56b9887

Pinning observability of competitive neural networks with different time–constants

Autor: Uwe Meyer-Bäse, A. Moradi Amani, Anke Meyer-Bäse, Andreas Stadlbauer, Wenwu Yu, Simon Y. Foo

Publikováno v: Neurocomputing. 329:97-102

The new concept called pinning observability is proposed for competitive neural networks with different time-scales and a distributed observer structure, which is determined to estimate the states of this large scale network. This network observer ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::298d94fa4babbe1b159e5a2b9d0b9606
https://doi.org/10.1016/j.neucom.2018.09.053

Large-scale graph networks and AI applied to medical image data processing

Autor: Katja Pinker, Simon Y. Foo, Anke Meyer-Bäse, Theresa Götz, Doris Leithner, Amirhessam Tahmassebi, Uwe Meyer-Bäse, Andreas Stadlbauer, Ali Moradi Amani

Publikováno v: Computational Imaging V.

With the increasing amount of available medical data, computing power and network speed, modern medical imaging is facing an unprecedented amount of data to analyze and interpret. Phenomena such as Big Data-omics stemming from several diagnostic proc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4caa35078b772e3bb0188ff4c261e60a
https://doi.org/10.1117/12.2557813

Embedded Microprocessor System Design Using FPGAs

Autor: Uwe Meyer-Baese

This textbook for courses in Embedded Systems introduces students to necessary concepts, through a hands-on approach. It gives a great introduction to FPGA-based microprocessor system design using state-of-the-art boards, tools, and microprocessors f

Computer-Aided Diagnosis of Diagnostically Challenging Lesions in Breast MRI: A Comparison between a Radiomics and a Feature-Selective Approach

Autor: Marc B. I. Lobbes, Uwe Meyer-Bäse, Katja Pinker-Domenig, Anke Meyer-Baese, I. P. L. Houben, Guillaume Lemaitre, Bernhard Burgeth, Sebastian Hoffmann, Georg Wengert

Publikováno v: Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
Conference on Sensing and Analysis Technologies for Biomedical and Cognitive Applications
Conference on Sensing and Analysis Technologies for Biomedical and Cognitive Applications, Apr 2016, Baltimore, MD, United States. pp.UNSP 98710H, ⟨10.1117/12.2228994⟩
Dai, L; Zheng, Y ; Chu, H; MeyerBase, AD. Conference on Sensing and Analysis Technologies for Biomedical and Cognitive Applications, Apr 2016, Baltimore, MD, United States. SPIE-INT SOC OPTICAL ENGINEERING, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA, Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016, 9871, pp.UNSP 98710H, 2016, Proceedings of SPIE. 〈http://spie.org/Publications/Proceedings/Paper/10.1117/12.2228994〉. 〈10.1117/12.2228994〉

International audience; Diagnostically challenging lesions pose a challenge both for the radiological reading and also for current CAD systems. They are not well-defined in both morphology (geometric shape) and kinetics (temporal enhancement) and pos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e559e5a3fcfb38642c0f7a8e08cb283d
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01438462