Search Results - "Frangi, Alejandro F"

Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG by Zhang, Jie, Zhao, Yihui, Shone, Fergus, Li, Zhenhong, Frangi, Alejandro F., Xie, Sheng Quan, Zhang, Zhi-Qiang

“…Musculoskeletal models have been widely used for detailed biomechanical analysis to characterise various functional impairments given their ability to estimate…”
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Vascular dysfunction in the pathogenesis of Alzheimer's disease — A review of endothelium-mediated mechanisms and ensuing vicious circles by Di Marco, Luigi Yuri, Venneri, Annalena, Farkas, Eszter, Evans, Paul C, Marzo, Alberto, Frangi, Alejandro F

“…Abstract Late-onset dementia is a major health concern in the ageing population. Alzheimer's disease (AD) accounts for the largest proportion (65–70%) of…”
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The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions by Littlejohns, Thomas J., Holliday, Jo, Gibson, Lorna M., Garratt, Steve, Oesingmann, Niels, Alfaro-Almagro, Fidel, Bell, Jimmy D., Boultwood, Chris, Collins, Rory, Conroy, Megan C., Crabtree, Nicola, Doherty, Nicola, Frangi, Alejandro F., Harvey, Nicholas C., Leeson, Paul, Miller, Karla L., Neubauer, Stefan, Petersen, Steffen E., Sellors, Jonathan, Sheard, Simon, Smith, Stephen M., Sudlow, Cathie L. M., Matthews, Paul M., Allen, Naomi E.

“…UK Biobank is a population-based cohort of half a million participants aged 40–69 years recruited between 2006 and 2010. In 2014, UK Biobank started the…”
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Iba-1-/CD68+ microglia are a prominent feature of age-associated deep subcortical white matter lesions by Waller, Rachel, Baxter, Lynne, Fillingham, Daniel J, Coelho, Santiago, Pozo, Jose M, Mozumder, Meghdoot, Frangi, Alejandro F, Ince, Paul G, Simpson, Julie E, Highley, J Robin

“…Deep subcortical lesions (DSCL) of the brain, are present in ~60% of the ageing population, and are linked to cognitive decline and depression. DSCL are…”
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Fully automatic detection of lung nodules in CT images using a hybrid feature set by Shaukat, Furqan, Raja, Gulistan, Gooya, Ali, Frangi, Alejandro F.

“…Purpose The aim of this study was to develop a novel technique for lung nodule detection using an optimized feature set. This feature set has been achieved…”
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Automatic initialization and quality control of large-scale cardiac MRI segmentations by Albà, Xènia, Lekadir, Karim, Pereañez, Marco, Medrano-Gracia, Pau, Young, Alistair A., Frangi, Alejandro F.

“…•A framework for LV detection, segmentation, and quality control in large CMR studies.•Initialization and quality control steps that fully eliminate user…”
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Classification of breast lesions in ultrasonography using sparse logistic regression and morphology‐based texture features by Nemat, Hoda, Fehri, Hamid, Ahmadinejad, Nasrin, Frangi, Alejandro F., Gooya, Ali

“…Purpose This work proposes a new reliable computer‐aided diagnostic (CAD) system for the diagnosis of breast cancer from breast ultrasound (BUS) images. The…”
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In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials by Sarrami-Foroushani, Ali, Lassila, Toni, MacRaild, Michael, Asquith, Joshua, Roes, Kit C. B., Byrne, James V., Frangi, Alejandro F.

“…The cost of clinical trials is ever-increasing. In-silico trials rely on virtual populations and interventions simulated using patient-specific models and may…”
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Utility of pre-treatment FDG PET/CT–derived machine learning models for outcome prediction in classical Hodgkin lymphoma by Frood, Russell, Clark, Matt, Burton, Cathy, Tsoumpas, Charalampos, Frangi, Alejandro F., Gleeson, Fergus, Patel, Chirag, Scarsbrook, Andrew

“…Objectives Relapse occurs in ~20% of patients with classical Hodgkin lymphoma (cHL) despite treatment adaption based on 2-deoxy-2-[ 18 F]fluoro- d -glucose…”
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Origami: Single-cell 3D shape dynamics oriented along the apico-basal axis of folding epithelia from fluorescence microscopy data by Mendonca, Tania, Jones, Ana A, Pozo, Jose M, Baxendale, Sarah, Whitfield, Tanya T, Frangi, Alejandro F

“…A common feature of morphogenesis is the formation of three-dimensional structures from the folding of two-dimensional epithelial sheets, aided by cell shape…”
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Real-time coronary artery stenosis detection based on modern neural networks by Danilov, Viacheslav V., Klyshnikov, Kirill Yu, Gerget, Olga M., Kutikhin, Anton G., Ganyukov, Vladimir I., Frangi, Alejandro F., Ovcharenko, Evgeny A.

“…Invasive coronary angiography remains the gold standard for diagnosing coronary artery disease, which may be complicated by both, patient-specific anatomy and…”
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A computational model for prediction of clot platelet content in flow-diverted intracranial aneurysms by Sarrami-Foroushani, Ali, Lassila, Toni, Hejazi, Seyed Mostafa, Nagaraja, Sanjoy, Bacon, Andrew, Frangi, Alejandro F.

“…Treatment of intracranial aneurysms with flow-diverting stents is a safe and minimally invasive technique. The goal is stable embolisation that facilitates…”
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Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets by Xia, Yan, Zhang, Le, Ravikumar, Nishant, Attar, Rahman, Piechnik, Stefan K., Neubauer, Stefan, Petersen, Steffen E., Frangi, Alejandro F.

“…•A novel cardiac MR data imputation via conditional generative adversarial nets.•Performance enhanced by self-modulated normalization and multi-scale…”
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Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation by Castro-Mateos, Isaac, Pozo, Jose M., Pereanez, Marco, Lekadir, Karim, Lazary, Aron, Frangi, Alejandro F.

“…Statistical shape models (SSM) are used to introduce shape priors in the segmentation of medical images. However, such models require large training datasets…”
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Diffusion MRI for Assessment of Bone Quality; A Review of Findings in Healthy Aging and Osteoporosis by Fathi Kazerooni, Anahita, Pozo, Jose M., McCloskey, Eugene Vincent, Saligheh Rad, Hamidreza, Frangi, Alejandro F.

“…Diffusion MRI (dMRI) is a growing imaging technique with the potential to provide biomarkers of tissue variation, such as cellular density, tissue anisotropy,…”
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Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence by Nadarajah, Ramesh, Wu, Jianhua, Frangi, Alejandro F, Hogg, David, Cowan, Campbell, Gale, Chris

“…IntroductionAtrial fibrillation (AF) is a major cardiovascular health problem: it is common, chronic and incurs substantial healthcare expenditure because of…”
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Computational cardiac atlases: from patient to population and back by Young, Alistair A., Frangi, Alejandro F.

“…Integrative models of cardiac physiology are important for understanding disease and planning intervention. Multimodal cardiovascular imaging plays an…”
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Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review by Ngoepe, Malebogo N, Frangi, Alejandro F, Byrne, James V, Ventikos, Yiannis

“…Thrombosis is a condition closely related to cerebral aneurysms and controlled thrombosis is the main purpose of endovascular embolization treatment. The…”
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Newtonian and non-Newtonian blood flow in coiled cerebral aneurysms by Morales, Hernán G, Larrabide, Ignacio, Geers, Arjan J, Aguilar, Martha L, Frangi, Alejandro F

“…Abstract Endovascular coiling aims to isolate the aneurysm from blood circulation by altering hemodynamics inside the aneurysm and triggering blood…”
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Simultaneous magnetic resonance diffusion and pseudo‐diffusion tensor imaging by Mozumder, Meghdoot, Beltrachini, Leandro, Collier, Quinten, Pozo, Jose M., Frangi, Alejandro F.

“…Purpose An emerging topic in diffusion magnetic resonance is imaging blood microcirculation alongside water diffusion using the intravoxel incoherent motion…”
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