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

Modeling disease spreading process induced by disease agent mobility in Dementia networks

Autor: Amirhessam Tahmassebi, Anke Meyer-Bäse, Uwe Meyer-Bäse

Publikováno v: Pattern Recognition and Tracking XXXI.

Dementia progression is based on exploring models predicting longitudinal disease patterns and represents a challenging research field for neurodegenerative diseases. Conventional progression models are mainly continu- ous network diffusion models as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca3faeebbfa5dc48745e07dfcdc1f21c
https://doi.org/10.1117/12.2557814

Current Status and Future Perspectives of Artificial Intelligence in Magnetic Resonance Breast Imaging

Autor: Uwe Meyer-Bäse, Lia Morra, Anke Meyer-Bäse, Katja Pinker

Publikováno v: Contrast Media & Molecular Imaging, Vol 2020 (2020)
Contrast Media & Molecular Imaging

Recent advances in artificial intelligence (AI) and deep learning (DL) have impacted many scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well-established method in breast imaging with several indications includin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d1848c3c149f83ed718a960500ea7d1
https://doaj.org/article/9f6d9f4585d54ba7a86b173586c212a9

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