Jenkin Lectures
WP5
Reducing Salt Intake and Exercising Regularly: Implications From Molecular Dynamics Simulations of Endothelial Glycocalyx | Physiology - Frontiers
Yiannis Ventikos - Co-founder and Non-Executive Director @ First Light Fusion - Crunchbase Person Profile
Professor Yiannis Ventikos - Royal Academy of Engineering
PDF) A multiple-network poroelastic model for biological systems and application to subject-specific modelling of cerebral fluid transport
NeuroNews on Twitter: "Yiannis Ventikos of @ucl discusses the role that virtual device deployment and computational haemodynamics can play in "conceptual aneurysm treatment" @brainconferenc1 #BARTSBRAINConference https://t.co/lTps72ph0e" / Twitter
Interdisciplinary Event on Cell Mechanics and Mechanobiology | Mechanobiology Lab
Yiannis Ventikos | Jeremie Souteyrat
2008 EU-MOP Consortium Integrated EU-MOP System Design Madrid, Spain 24 January 2008 Yiannis Ventikos Dept. of Engineering Science University of Oxford. - ppt download
ICFD
WP5
Yiannis Ventikos FREng MA PhD - Kennedy Professor of Mechanical Engineering, Head of Department - University College London | LinkedIn
Yiannis Ventikos | Jeremie Souteyrat
Yiannis Ventikos FREng MA PhD - Kennedy Professor of Mechanical Engineering, Head of Department - University College London | LinkedIn
Yiannis Ventikos's research works | University College London, London (UCL) and other places
Spotlight on Professor Yiannis Ventikos | UCL News - UCL – University College London
UCL Mechanical Engineering - Huge congratulations to our Head of Department Professor Yiannis Ventikos on his election as a new fellow of The Royal Academy of Engineering. He is recognised for his
Yiannis Ventikos | Jeremie Souteyrat
Yiannis Ventikos - Co-founder and Non-Executive Director @ First Light Fusion - Crunchbase Person Profile
Europe's Old Universities Spin Out New Tech Companies - WSJ
2006 EU-MOP Consortium Integrated EU-MOP Design System Athens, Greece 09 June 2006 Nikos Kakalis & Yiannis Ventikos University of Oxford. - ppt download
Multi-stage learning for segmentation of aortic dissections using a prior aortic anatomy simplification - ScienceDirect
