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Optimization of computationally expensive simulations with Gaussian processes and parameter uncertainty: Application to cardiovascular surgery

Jing Xie, Peter I. Frazier, Sethuraman Sankaran, Alison Marsden, Saleh Elmohamed
<span title="">2012</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/76cqjdra2zg5rgo2v5aqxsklkq" style="color: black;">2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton)</a> </i> &nbsp;
Motivated by an application in the design of grafts for heart surgery with uncertainty about input parameters, we use Bayesian methods to design an algorithm that exploits this random vector's lowdimensionality  ...  This deterministic function is often expensive to compute, making simulation optimization difficult.  ...  INTRODUCTION Motivated by an application in cardiovascular surgery with parameter uncertainty, we develop a new method for optimization of an objective function whose value is the average of the output  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/allerton.2012.6483247">doi:10.1109/allerton.2012.6483247</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/allerton/XieFSME12.html">dblp:conf/allerton/XieFSME12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aq4y4fdf3fevjfwzllg3mvj7n4">fatcat:aq4y4fdf3fevjfwzllg3mvj7n4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130617154804/http://people.orie.cornell.edu:80/pfrazier/pub/XieFrazierSankaranMarsdenElmohamed2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d3/9f/d39f05af9ba77d4e733d9f6e7dd8efb95232c1ed.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/allerton.2012.6483247"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Uncertainty quantification in virtual surgery hemodynamics predictions for single ventricle palliation

D. E. Schiavazzi, G. Arbia, C. Baker, A. M. Hlavacek, T. Y. Hsia, A. L. Marsden, I. E. Vignon-Clementel, The Modeling of Congenital Hearts Alliance MOCHA
<span title="2015-09-02">2015</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wy5icxf3uzd53k62u67jkxqtki" style="color: black;">International Journal for Numerical Methods in Biomedical Engineering</a> </i> &nbsp;
to the deterministic solver are computationally expensive.  ...  A robust optimization algorithm, combining the surrogate management framework (SMF [29]) with SC on adaptive sparse grids, was applied in [30] to parameterized models of bypass graft anastomoses, and in  ...  ACKNOWLEDGEMENTS Comments and feedback from the anonymous Reviewers are gratefully acknowledged. This work was supported by the Leducq Foundation as part of a  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/cnm.2737">doi:10.1002/cnm.2737</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26217878">pmid:26217878</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pwao4q3yxfgjtlbpnvfhh23g6a">fatcat:pwao4q3yxfgjtlbpnvfhh23g6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501082624/https://hal.inria.fr/hal-01244427/file/UQforHal.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/09/55/095515349775b5b470c59bcaffa44cae52000435.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/cnm.2737"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>

The impact of uncertainty on shape optimization of idealized bypass graft models in unsteady flow

Sethuraman Sankaran, Alison L. Marsden
<span title="">2010</span> <i title="AIP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fbqxosazkbhcdjqeamob3s7wmm" style="color: black;">Physics of Fluids</a> </i> &nbsp;
We systematically account for inevitable uncertainties that arise in cardiovascular simulations, owing to noise in medical image data, variable physiologic conditions, and surgical implementation.  ...  The derivative-free optimization framework is coupled with a stochastic response surface technique to make the problem computationally tractable.  ...  We wish to thank the SIMVASCULAR open source project ͓simtk.org ͑Ref. 47͔͒, CVSIM, Joy Ku, Nathan Wilson, and Charles Taylor for software resources and expertise.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1063/1.3529444">doi:10.1063/1.3529444</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ry6en56eyzdp7dp4q7tktouvba">fatcat:ry6en56eyzdp7dp4q7tktouvba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20111219142511/http://maeresearch.ucsd.edu/marsden/AMarsden/Publications_files/PhysFluids_22_121902.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/63/ff633d1a400c0aec9a8e1d389d43f4d7d70fe19f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1063/1.3529444"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Multi-fidelity estimators for coronary circulation models under clinically-informed data uncertainty [article]

Jongmin Seo, Casey Fleeter, Andrew M. Kahn, Alison L. Marsden, Daniele E. Schiavazzi
<span title="2020-04-30">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Despite recent progress towards clinical adoption, many results in the field are still based on a deterministic characterization of blood flow, with no quantitative assessment of the variability of simulation  ...  In this study, we focus on parameters that are essential to construct accurate patient-specific representations of the coronary circulation, such as aortic pressure waveform, intramyocardial pressure and  ...  Most cardiovascular simulations ignore impact of variability due to uncertainty in input parameters on simulation outcomes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.11266v2">arXiv:1911.11266v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aa4h2kfbsndsbonveq6bctjy2i">fatcat:aa4h2kfbsndsbonveq6bctjy2i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505080224/https://arxiv.org/pdf/1911.11266v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.11266v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls [article]

Jongmin Seo and Daniele E. Schiavazzi and Andrew M. Kahn and Alison L. Marsden
<span title="2020-02-20">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Cardiovascular simulations are increasingly used for non-invasive diagnosis of cardiovascular disease, to guide treatment decisions, and in the design of medical devices.  ...  Quantitative assessment of the variability of simulation outputs due to input uncertainty is a key step toward further integration of cardiovascular simulations in the clinical workflow.  ...  The authors also thank Professor Tran for fruitful discussions that helped in the preparation of this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1908.07522v2">arXiv:1908.07522v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dqg3iq2oxzco3fs6q5mcaq77gu">fatcat:dqg3iq2oxzco3fs6q5mcaq77gu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321145425/https://arxiv.org/pdf/1908.07522v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1908.07522v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Simulation based planning of surgical interventions in pediatric cardiology

Alison L. Marsden
<span title="">2013</span> <i title="AIP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fbqxosazkbhcdjqeamob3s7wmm" style="color: black;">Physics of Fluids</a> </i> &nbsp;
In this paper, we outline the current state of the art in methods for cardiovascular blood flow simulation and virtual surgery.  ...  Computational simulations can now provide detailed hemodynamic data to augment clinical knowledge in both adult and pediatric applications.  ...  We would also like to thank Jeffrey Feinstein, Tain-Yen Hsia, Jane Burns, Andrew Kahn, and the Modeling of Congenital Hearts Alliance (MOCHA) for providing clinical expertise to guide this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1063/1.4825031">doi:10.1063/1.4825031</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24255590">pmid:24255590</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3820639/">pmcid:PMC3820639</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kkedfb44grbhjmzmrm3poewaxm">fatcat:kkedfb44grbhjmzmrm3poewaxm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210191945/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC3820639&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/49/6c/496ca348bdc5a996a00a7aaa5e83672fad942289.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1063/1.4825031"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3820639" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

SIMCor. Deliverable 7.2: Definition of model templates (TUE, M9)

Wouter Huberts
<span title="2021-09-30">2021</span> <i title="Zenodo"> Zenodo </i> &nbsp;
The document gives an overview of the available models for simulating the physiology of these patient groups, both before and after transcatheter aortic valve implantation or insertion of a pulmonary artery  ...  Thereafter, it is presented how the optimal model complexity of our virtual cohort generator is selected, and how the models are validated on patient-level.  ...  ., A guide to uncertainty and sensitivity analysis for cardiovascular applications.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6146528">doi:10.5281/zenodo.6146528</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r3ffyxymwvgm3n34q7zt7jho6e">fatcat:r3ffyxymwvgm3n34q7zt7jho6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220219171550/https://zenodo.org/record/6146529/files/SIMCor_D7.2_Definition_of_model_templates_TUE_30-09-2021_sig.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/98/85/9885fc78b76f3e006aba97b8c3f28b267ca566ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.6146528"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Multiscale modeling meets machine learning: What can we learn? [article]

Grace C.Y. Peng, Mark Alber, Adrian Buganza Tepole, William Cannon, Suvranu De, Salvador Dura-Bernal, Krishna Garikipati, George Karniadakis, William W. Lytton, Paris Perdikaris, Linda Petzold, Ellen Kuhl
<span title="2020-01-15">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
surrogate models, identify system dynamics and parameters, analyze sensitivities, and quantify uncertainty to bridge the scales and understand the emergence of function.  ...  With a view towards applications in the life sciences, we discuss the state of the art of combining machine learning and multiscale modeling, identify applications and opportunities, raise open questions  ...  Another possible application is optimization of surgery or prosthetic device design by combining off-line generic simulations with online data acquisition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.11958v2">arXiv:1911.11958v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u4d4snmwq5bfrcvt7is6fkswgy">fatcat:u4d4snmwq5bfrcvt7is6fkswgy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321073018/https://arxiv.org/ftp/arxiv/papers/1911/1911.11958.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.11958v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

An efficient framework for optimization and parameter sensitivity analysis in arterial growth and remodeling computations

Sethuraman Sankaran, Jay D. Humphrey, Alison L. Marsden
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gctv3v6plrgwthusala4ydxxeq" style="color: black;">Computer Methods in Applied Mechanics and Engineering</a> </i> &nbsp;
We couple the G&R simulator with an adaptive sparse grid collocation approach and a derivative-free optimization algorithm.  ...  We suggest that these tools provide the first systematic and efficient framework to quantify uncertainties and optimally identify G&R model parameters.  ...  Acknowledgments We are grateful to Dr. Arturo Valentin for sharing his Growth and Remodeling software and expertise.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cma.2012.12.013">doi:10.1016/j.cma.2012.12.013</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23626380">pmid:23626380</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3635687/">pmcid:PMC3635687</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gcc6zd6hhjhw5p3o7ollot7ome">fatcat:gcc6zd6hhjhw5p3o7ollot7ome</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200428002632/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC3635687&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ab/41/ab415794c07dcce7ea244ead56d63cb56db5ae81.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cma.2012.12.013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635687" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

Mark Alber, Adrian Buganza Tepole, William R. Cannon, Suvranu De, Salvador Dura-Bernal, Krishna Garikipati, George Karniadakis, William W. Lytton, Paris Perdikaris, Linda Petzold, Ellen Kuhl
<span title="2019-11-25">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uwry6ckzz5bt5kepcbpuulmtqy" style="color: black;">npj Digital Medicine</a> </i> &nbsp;
However, multiscale modeling alone often fails to efficiently combine large datasets from different sources and different levels of resolution.  ...  Multiscale modeling is a successful strategy to integrate multiscale, multiphysics data and uncover mechanisms that explain the emergence of function.  ...  and uncertainty propagation with Gaussian processes of nonlinear mechanical systems  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41746-019-0193-y">doi:10.1038/s41746-019-0193-y</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31799423">pmid:31799423</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6877584/">pmcid:PMC6877584</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uhgdhq7rjffqnboydb3e6d2tuu">fatcat:uhgdhq7rjffqnboydb3e6d2tuu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191205070714/https://www.nature.com/articles/s41746-019-0193-y.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/81/01/81014da489d88253c28b346ceb8bd3d386d12ced.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41746-019-0193-y"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6877584" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

3D+t Modeling of Coronary Artery Tree from Standard Non Simultaneous Angiograms [chapter]

Fabien Mourgues, Frédéric Devernay, Grégoire Malandain, Ève Coste-Manière
<span title="">2001</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
3D models of coronary arteries is a valuable help for the planning and simulation of minimally-invasive cardiac surgery, and may be used in per-operative augmented reality.  ...  The heart shift and deformation between acquisitions problemmainly due to patient's breathing and motion -is solved by simultaneously optimizing the sensor geometry.  ...  Acknowledgments We would like to thank Régis Vaillant from GE Medical Systems, Global X-Ray Advanced Applications, and Didier Blanchard from Georges Pompidou European Hospital for their help in providing  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-45468-3_213">doi:10.1007/3-540-45468-3_213</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x6wkxo3sfbbffped5a66uu4slq">fatcat:x6wkxo3sfbbffped5a66uu4slq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20030503221515/http://devernay.free.fr:80/publis/miccai01.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/34/ac/34aca5544f99ac35892cc80dec36ee8458cb52af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/3-540-45468-3_213"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Patient-Specific Inverse Modeling of In Vivo Cardiovascular Mechanics with Medical Image-Derived Kinematics as Input Data: Concepts, Methods, and Applications

Johane H. Bracamonte, Sarah K. Saunders, John S. Wilson, Uyen T. Truong, Joao S. Soares
<span title="2022-04-14">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
These methods have become available for medical applications mainly due to the continuing development of image-based kinematic techniques, the maturity of the associated theories describing cardiovascular  ...  Inverse method applications are multidisciplinary, requiring tailored solutions to the available clinical data, pathology of interest, and available computational resources.  ...  Acknowledgments: We thank Jenna Gaspar, Lindsay Jordan, Nickolas Roberts, Raymond Hang and the VCU College of Engineering DURI Dean's Undergraduate Research Initiative Program.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12083954">doi:10.3390/app12083954</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/so7cwudvyfgprigztufgw7we2e">fatcat:so7cwudvyfgprigztufgw7we2e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220520125640/https://mdpi-res.com/d_attachment/applsci/applsci-12-03954/article_deploy/applsci-12-03954.pdf?version=1649905945" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/9a/5b9a073c42d6fcd01293114439dcb6605cd2db97.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app12083954"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models [article]

Elias Karabelas, Stefano Longobardi, Jana Fuchsberger, Orod Razeghi, Cristobal Rodero, Marina Strocchi, Ronak Rajani, Gundolf Haase, Gernot Plank, Steven Niederer
<span title="2021-11-17">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Fitting such models to patient data requires numerous computationally expensive simulations, and depends on specific clinical measurements to constrain model parameters, hampering clinical adoption.  ...  Surrogate models can help to accelerate the fitting process while accounting for the added uncertainty.  ...  replace the highly non-linear computationally expensive map from parameters to features with a fast-evaluating, probabilistic surrogate map.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.08339v2">arXiv:2111.08339v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d4omasym6fcnvpn5i6gnsiwooy">fatcat:d4omasym6fcnvpn5i6gnsiwooy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211127215557/https://arxiv.org/pdf/2111.08339v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ad/3b/ad3bd111c6cf2a2616f2879d066f45d98be879b0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.08339v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications

A. Quarteroni, A. Manzoni, C. Vergara
<span title="">2017</span> <i title="Cambridge University Press (CUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/umcr7ozalbgofhcbyd4l6c32aq" style="color: black;">Acta Numerica</a> </i> &nbsp;
Critical issues involve filtering the data, identifying the parameters of mathematical models, devising optimal treatments and accounting for uncertainties.  ...  For this reason, we will devote the last part of the paper to control and inverse problems, including parameter estimation, uncertainty quantification and the development of reduced-order models that are  ...  Acknowledgements The authors would like to thank P.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s0962492917000046">doi:10.1017/s0962492917000046</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/loo2r2x3h5cgxdwhvd7r56kzu4">fatcat:loo2r2x3h5cgxdwhvd7r56kzu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502183520/https://www.cambridge.org/core/services/aop-cambridge-core/content/view/B79D5D7B17499F8758150FEEC4207916/S0962492917000046a.pdf/div-class-title-the-cardiovascular-system-mathematical-modelling-numerical-algorithms-and-clinical-applications-a-href-tfn1-ref-type-fn-span-class-sup-span-a-div.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/e2/7ce2f67618519f3e4c04bf3335018048f7663199.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1017/s0962492917000046"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> cambridge.org </button> </a>

Fast Generation of Potentials for Self-Assembly of Particles [article]

Philip du Toit, Katalin Grubits, Jerrold Marsden, Sorin Costiner
<span title="2009-05-12">2009</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The trend optimization method is particularly successful since it is well-suited to efficient optimization of the noisy and expensive objective functions encountered in the self-assembly design problem  ...  The design problem is motivated by the desire to produce materials with pre-specified structure and properties.  ...  We would like to thank Andrzej Banaszuk, Ronald Coifman, Yannis  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/0905.1926v1">arXiv:0905.1926v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eruaqcy7vfaivkyooovzp77hqi">fatcat:eruaqcy7vfaivkyooovzp77hqi</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-0905.1926/0905.1926.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> File Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/0905.1926v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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