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CORDIS - EU research results
CORDIS

Deriving novel micro biomechanical indices based on clinical imaging and computational simulation data and analysis using machine learning for assessment of cerebrovascular and cognitive health

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

A guide to advanced MRI processing for clinical glioma research (opens in new window)

Author(s): Patricia Clement, Soetkin Beun, Fatemehsadat Arzanforoosh, Marco Castellaro, Giulia Debiasi, Kyrre E. Emblem, Elies Fuster-Garcia, Matthew Grech-Sollars, Jesper Folsted Kallehauge, Philipp Lazen, Rita G. Nunes, Esin Ozturk Isik, Joana Pinto, Senol Piskin, Simon Daniel Robinson, Roma Siugzdaite, Nico Sollmann, Siri Fløgstad Svensson, Esther A.H. Warnert, Evita Wiegers, Jan Petr, Gilbert Hangel
Published in: Archive, Issue NA, 2024, Page(s) NA
Publisher: Center for Open Science
DOI: 10.31234/osf.io/rh4md

Advanced<scp>MR</scp>Techniques for Preoperative Glioma Characterization: Part 2 (opens in new window)

Author(s): Gilbert Hangel, Bárbara Schmitz‐Abecassis, Nico Sollmann, Joana Pinto, Fatemehsadat Arzanforoosh, Frederik Barkhof, Thomas Booth, Marta Calvo‐Imirizaldu, Guilherme Cassia, Marek Chmelik, Patricia Clement, Ece Ercan, Maria A. Fernández‐Seara, Julia Furtner, Elies Fuster‐Garcia, Matthew Grech‐Sollars, N. Tugay Guven, Gokce Hale Hatay, Golestan Karami, Vera C. Keil, Mina Kim, Johan A. F.
Published in: Journal of Magnetic Resonance Imaging, Issue 57, 2023, Page(s) 1676-1695, ISSN 1053-1807
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/jmri.28663

Advanced <scp>MR</scp> Techniques for Preoperative Glioma Characterization: Part 1 (opens in new window)

Author(s): Lydiane Hirschler, Nico Sollmann, Bárbara Schmitz‐Abecassis, Joana Pinto, Fatemehsadat Arzanforoosh, Frederik Barkhof, Thomas Booth, Marta Calvo‐Imirizaldu, Guilherme Cassia, Marek Chmelik, Patricia Clement, Ece Ercan, Maria A. Fernández‐Seara, Julia Furtner, Elies Fuster‐Garcia, Matthew Grech‐Sollars, Nazmiye Tugay Guven, Gokce Hale Hatay, Golestan Karami, Vera C. Keil, Mina Kim, Joha
Published in: Journal of Magnetic Resonance Imaging, Issue 57, 2023, Page(s) 1655-1675, ISSN 1053-1807
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/jmri.28662

Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet (opens in new window)

Author(s): Jordi Alastruey, Peter H. Charlton, Vasiliki Bikia, Birute Paliakaite, Bernhard Hametner, Rosa Maria Bruno, Marijn P. Mulder, Samuel Vennin, Senol Piskin, Ashraf W. Khir, Andrea Guala, Christopher C. Mayer, Jonathan Mynard, Alun D. Hughes, Patrick Segers, Berend E. Westerhof
Published in: American Journal of Physiology-Heart and Circulatory Physiology, Issue 325, 2023, Page(s) H1-H29, ISSN 0363-6135
Publisher: American Physiological Society
DOI: 10.1152/ajpheart.00705.2022

Mechanical characterization and torsional buckling of pediatric cardiovascular materials (opens in new window)

Author(s): Samir Donmazov, Senol Piskin, Tansu Gölcez, Demet Kul, Ahmet Arnaz, Kerem Pekkan
Published in: Biomechanics and Modeling in Mechanobiology, Issue 23, 2024, Page(s) 845-860, ISSN 1617-7959
Publisher: Springer Verlag
DOI: 10.1007/s10237-023-01809-z

Magnetic Resonance Imaging and Computed Tomography for the Noninvasive Assessment of Arterial Aging: A Review by the VascAgeNet COST Action (opens in new window)

Author(s): Elisabetta Bianchini, Mai Tone Lønnebakken, Peter Wohlfahrt, Senol Piskin, Dimitrios Terentes‐Printzios, Jordi Alastruey, Andrea Guala
Published in: Journal of the American Heart Association, Issue 12, 2024, ISSN 2047-9980
Publisher: Wiley-Blackwell
DOI: 10.1161/jaha.122.027414

Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials (opens in new window)

Author(s): Samir Donmazov, Eda Nur Saruhan, Kerem Pekkan, Senol Piskin
Published in: Cardiovascular Engineering and Technology, Issue 15, 2024, Page(s) 522-549, ISSN 1869-408X
Publisher: Springer Pub. Co.,
DOI: 10.1007/s13239-024-00737-y

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