(Last update: June 2016)
Modeling of the Acute Effects of Primary Hypertension and Hypotension on the Hemodynamics of Intracranial Aneurysms
Sarrami-Foroushani A, Villa-Uriol MC, Nasr Esfahany M, Coley SC, Di Marco LY, Frangi AF, Marzo A.; Annals of Biomedical Engineering 43(1):207-221
RADStation3G: a platform for cardiovascular image analysis integrating PACS, 3D+t visualization and grid computing
Perez F, Huguet J, Aguilar R, Lara L, Larrabide I, Villa-Uriol MC, López J, Macho JM, et al.; Computer Methods and Programs in Biomedicine 110(3):399-410
AngioLab--a software tool for morphological analysis and endovascular treatment planning of intracranial aneurysms
Larrabide I, Villa-Uriol MC, Cárdenes R, Barbarito V, Carotenuto L, et al.; Computer Methods and Programs in Biomedicine 108(2):806-819
Automated landmarking and geometric characterization of the carotid siphon
Bogunović H, Pozo JM, Cárdenes R, Villa-Uriol MC, Blanc R, Piotin M, et al.; Medical Image Analysis 16(4):889-903
Fast virtual deployment of self-expandable stents: method and in vitro evaluation for intracranial aneurysmal stenting
Larrabide I, Kim M, Augsburger L, Villa-Uriol MC, Rüfenacht D, Frangi AF; Medical Image Analysis 16(3):721-730
Efficient 3D geometric and Zernike moments computation from unstructured surface meshes
Pozo JM, Villa-Uriol MC, Frangi AF; IEEE Transactions on Pattern Analysis and Machine Intelligence 33(3):471-484
Three-dimensional morphological analysis of intracranial aneurysms: a fully automated method for aneurysm sac isolation and quantification
Larrabide I, Villa-Uriol MC, Cárdenes R, Pozo JM, Macho J, Roman LS, et al.; Medical Physics 38(5):2439-2449
Dynamic estimation of three-dimensional cerebrovascular deformation from rotational angiography
Zhang C, Villa-Uriol MC, De Craene M, Pozo JM, Macho JM, Frangi AF; Medical Physics 38(3):1294-1306
Automated segmentation of cerebral vasculature with aneurysms in 3DRA and TOF-MRA using geodesic active regions: an evaluation study
Bogunović H, Pozo JM, Villa-Uriol MC, Majoie CBLM, Van Den Berg R, Van Gratama Andel HAF, Macho JM, Blasco J, San Román L, Frangi AF; Medical Physics 38(1):210-222
How do coil configuration and packing density influence intra-aneurysmal hemodynamics?
Morales HG, Kim M, Vivas EE, Villa-Uriol MC, Larrabide I, Sola T, et al.; American Journal of Neuroradiology 32(10):1935-1941
@neurIST complex information processing toolchain for the integrated management of cerebral aneurysms
Villa-Uriol MC, Berti G, Hose DR, Marzo A, Chiarini A, Penrose J, Pozo J, Schmidt JG, et al.; Interface Focus 1(3):308-319
Toward integrated management of cerebral aneurysms
Villa-Uriol MC, Larrabide I, Pozo JM, Kim M, Camara O, et al.; Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368(1921):2961-2982
The role of computational fluid dynamics in the management of unruptured intracranial aneurysms: a clinicians' view
Singh PK, Marzo A, Coley SC, Berti G, Bijlenga P, Lawford PV, Villa-Uriol MC, Rufenacht DA, McCormack KM, Frangi A, et al.; Computational Intelligence and Neuroscience
VPH-Share: Virtual Physiological Human: Sharing for Healthcare - A Research environment
FP7 Program, IST-269978, 10M€
VPH-Share aimed to build the collaborative computing environment in which Virtual Physiological Human practitioners will work together, to develop new medical simulation software. Central for this environment is the sharing of information - tools, models and data - between reseachers and clinicians, helping them to work efficiently towards building a complete model of the human body, so allowing its investigation as a single complex system.
In VPH-Share I was responsible of the @neurIST workflow and worked in the development of missing data inference algorithms for databases containing Virtual Physiological Human descriptors.
DISCIPULUS: Digitally Integrated Scientific Data for Patients and Populations in User-Specific Simulations
FP7 Program, CSA-288143
The vision of DISCIPULUS was to identify key steps towards realising the Digital Patient, which is a new paradigm in personalised medicine, across the whole healthcare system by focusing on the needs of clinical practitioners and healthcare professionals, biomedical and clinical researchers. This vision will be achieved through comprehensive solutions that involve advanced modelling and simulation tools, data acquisition and data management and advanced user interfaces. All this will enable the clinical and industrial translation of the Digital Patient.
In DISCIPULUS I participated in the writing of the Digital Patient Roadmap , and acted as overall editor of the chapter dedicated to the Mathematical Modelling for the Digital Patient (together with Pietro Liò).
euHeart: integrated cardiac care using patient-specific cardiovascular modelling
This European research initiative targeted the personalized diagnosis and treatment of cardiovascular disease (e.g. cardiac arrhythmias, coronary artery disease, heart failure).
In this project I contributed with my experience in the development of VPH scientific workflows in scientific environments.
VPH-NoE: Virtual Physiological Human Network of Excellence
This projecte aimed to help support and progress European research in biomedical modelling and simulation of the human body. This will improve our ability to predict, diagnose and treat disease, and have a dramatic impact on the future of healthcare, the pharmaceutical and medical device industries.
In this Network of Excellence I participated in the creation of the VPH toolkit and in the development of a proposal of mathematical modelling of diseases using as an exemplar the @neurIST computational modelling tool chain.
@neurIST: Integrated Biomedical Informatics for the Management of Cerebral Aneurysms
FP6 Program, IST-2004-027703, 12M€
@neurIST focussed on cerebral aneurysms and aimed to provide an integrated decision support system to assess the risk of aneurysm rupture in patients and to optimize their treatments.
In @neurIST I worked in the development of an integrative software tool chain able to extract sophisticated descriptors from routinely acquired medical images. I concentrated on the segmentation of medical images, the extraction of morphological descriptors, the quantification of cerebral aneurysm motion and pulsation, the quantification of cerebral aneurysm blood flow, and the simulation of virtual treatments (coiling and stenting).
“Education is the most powerful weapon which you can use to change the world.”
I teach this module in Semester 2.
More details about these projects here. All projects are suitable to Computer Science and Biomedical Engineering students.
G014, Regent Court
211 Portobello, Sheffield, S1 4DP
m.villa-uriol at sheffield.ac.uk
(+44) 114 22 21870