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"How much realism is needed?" - the wrong question in silico imagers have been asking.

Medical physics

Badano A.
PMID: 28266047
Med Phys. 2017 May;44(5):1607-1609. doi: 10.1002/mp.12187. Epub 2017 Apr 17.

PURPOSE: To discuss the use of realism as a first approximation for assessing computational imaging methods.METHODS: Although in silico methods are increasingly becoming promising surrogates to physical experimentation for various stages of device development, their acceptance remains challenging. Realism...

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Badano A. "How much realism is needed?" - the wrong question in silico imagers have been asking. Med Phys. 2017;44(5):1607-1609doi: 10.1002/mp.12187.
Badano, A. (2017). "How much realism is needed?" - the wrong question in silico imagers have been asking. Medical physics, 44(5), 1607-1609. https://doi.org/10.1002/mp.12187
Badano, Aldo. ""How much realism is needed?" - the wrong question in silico imagers have been asking." Medical physics vol. 44,5 (2017): 1607-1609. doi: https://doi.org/10.1002/mp.12187
Badano A. "How much realism is needed?" - the wrong question in silico imagers have been asking. Med Phys. 2017 May;44(5):1607-1609. doi: 10.1002/mp.12187. Epub 2017 Apr 17. PMID: 28266047.
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Nanotube-Enabled Vesicle-Vesicle Communication: A Computational Model.

The journal of physical chemistry letters

Zhang L, Wang X.
PMID: 26266730
J Phys Chem Lett. 2015 Jul 02;6(13):2530-7. doi: 10.1021/acs.jpclett.5b00755. Epub 2015 Jun 17.

Cell-to-cell communications via the tunneling nanotubes or gap junction channels are vital for the development and maintenance of multicellular organisms. Instead of these intrinsic communication pathways, how to design artificial communication channels between cells remains a challenging but interesting...

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Zhang L, Wang X. Nanotube-Enabled Vesicle-Vesicle Communication: A Computational Model. J Phys Chem Lett. 2015;6(13):2530-7doi: 10.1021/acs.jpclett.5b00755.
Zhang, L., & Wang, X. (2015). Nanotube-Enabled Vesicle-Vesicle Communication: A Computational Model. The journal of physical chemistry letters, 6(13), 2530-7. https://doi.org/10.1021/acs.jpclett.5b00755
Zhang, Liuyang, and Wang, Xianqiao. "Nanotube-Enabled Vesicle-Vesicle Communication: A Computational Model." The journal of physical chemistry letters vol. 6,13 (2015): 2530-7. doi: https://doi.org/10.1021/acs.jpclett.5b00755
Zhang L, Wang X. Nanotube-Enabled Vesicle-Vesicle Communication: A Computational Model. J Phys Chem Lett. 2015 Jul 02;6(13):2530-7. doi: 10.1021/acs.jpclett.5b00755. Epub 2015 Jun 17. PMID: 26266730.
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Validating a standardized laparoscopy curriculum for gynecology residents: a randomized controlled trial.

American journal of obstetrics and gynecology

Shore EM, Grantcharov TP, Husslein H, Shirreff L, Dedy NJ, McDermott CD, Lefebvre GG.
PMID: 27131588
Am J Obstet Gynecol. 2016 Aug;215(2):204.e1-204.e11. doi: 10.1016/j.ajog.2016.04.037. Epub 2016 Apr 27.

BACKGROUND: Residency programs struggle with integrating simulation training into curricula, despite evidence that simulation leads to improved operating room performance and patient outcomes. Currently, there is no standardized laparoscopic training program available for gynecology residents.OBJECTIVE: The purpose of this...

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Shore EM, Grantcharov TP, Husslein H, et al. Validating a standardized laparoscopy curriculum for gynecology residents: a randomized controlled trial. Am J Obstet Gynecol. 2016;215(2):204.e1-204.e11doi: 10.1016/j.ajog.2016.04.037.
Shore, E. M., Grantcharov, T. P., Husslein, H., Shirreff, L., Dedy, N. J., McDermott, C. D., & Lefebvre, G. G. (2016). Validating a standardized laparoscopy curriculum for gynecology residents: a randomized controlled trial. American journal of obstetrics and gynecology, 215(2), 204.e1-204.e11. https://doi.org/10.1016/j.ajog.2016.04.037
Shore, Eliane M, et al. "Validating a standardized laparoscopy curriculum for gynecology residents: a randomized controlled trial." American journal of obstetrics and gynecology vol. 215,2 (2016): 204.e1-204.e11. doi: https://doi.org/10.1016/j.ajog.2016.04.037
Shore EM, Grantcharov TP, Husslein H, Shirreff L, Dedy NJ, McDermott CD, Lefebvre GG. Validating a standardized laparoscopy curriculum for gynecology residents: a randomized controlled trial. Am J Obstet Gynecol. 2016 Aug;215(2):204.e1-204.e11. doi: 10.1016/j.ajog.2016.04.037. Epub 2016 Apr 27. PMID: 27131588.
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[Grippe simulation on the internet].

MMW Fortschritte der Medizin

[No authors listed]
PMID: 26961058
MMW Fortschr Med. 2016 Feb 04;158(2):74. doi: 10.1007/s15006-016-7768-1.

No abstract available.

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Grippe-Simulation im Internet. [Grippe simulation on the internet]. MMW Fortschr Med. 2016;158(2):74doi: 10.1007/s15006-016-7768-1.
(2016). Grippe-Simulation im Internet. [Grippe simulation on the internet]. MMW Fortschritte der Medizin, 158(2), 74. https://doi.org/10.1007/s15006-016-7768-1
"Grippe-Simulation im Internet." [Grippe simulation on the internet]. MMW Fortschritte der Medizin vol. 158,2 (2016): 74. doi: https://doi.org/10.1007/s15006-016-7768-1
Grippe-Simulation im Internet. [Grippe simulation on the internet]. MMW Fortschr Med. 2016 Feb 04;158(2):74. doi: 10.1007/s15006-016-7768-1. German. PMID: 26961058.
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Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations.

PloS one

Hariharan P, D'Souza GA, Horner M, Morrison TM, Malinauskas RA, Myers MR.
PMID: 28594889
PLoS One. 2017 Jun 08;12(6):e0178749. doi: 10.1371/journal.pone.0178749. eCollection 2017.

A "credible" computational fluid dynamics (CFD) model has the potential to provide a meaningful evaluation of safety in medical devices. One major challenge in establishing "model credibility" is to determine the required degree of similarity between the model and...

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Hariharan P, D'Souza GA, Horner M, et al. Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations. PLoS One. 2017;12(6):e0178749doi: 10.1371/journal.pone.0178749.
Hariharan, P., D'Souza, G. A., Horner, M., Morrison, T. M., Malinauskas, R. A., & Myers, M. R. (2017). Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations. PloS one, 12(6), e0178749. https://doi.org/10.1371/journal.pone.0178749
Hariharan, Prasanna, et al. "Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations." PloS one vol. 12,6 (2017): e0178749. doi: https://doi.org/10.1371/journal.pone.0178749
Hariharan P, D'Souza GA, Horner M, Morrison TM, Malinauskas RA, Myers MR. Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations. PLoS One. 2017 Jun 08;12(6):e0178749. doi: 10.1371/journal.pone.0178749. eCollection 2017. PMID: 28594889; PMCID: PMC5464577.
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A sparsity-controlled vector autoregressive model.

Biostatistics (Oxford, England)

Carrizosa E, Olivares-Nadal AV, Ramírez-Cobo P.
PMID: 27655816
Biostatistics. 2017 Apr 01;18(2):244-259. doi: 10.1093/biostatistics/kxw042.

Vector autoregressive (VAR) models constitute a powerful and well studied tool to analyze multivariate time series. Since sparseness, crucial to identify and visualize joint dependencies and relevant causalities, is not expected to happen in the standard VAR model, several...

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Carrizosa E, Olivares-Nadal AV, Ramírez-Cobo P. A sparsity-controlled vector autoregressive model. Biostatistics. 2017;18(2):244-259doi: 10.1093/biostatistics/kxw042.
Carrizosa, E., Olivares-Nadal, A. V., & Ramírez-Cobo, P. (2017). A sparsity-controlled vector autoregressive model. Biostatistics (Oxford, England), 18(2), 244-259. https://doi.org/10.1093/biostatistics/kxw042
Carrizosa, Emilio, et al. "A sparsity-controlled vector autoregressive model." Biostatistics (Oxford, England) vol. 18,2 (2017): 244-259. doi: https://doi.org/10.1093/biostatistics/kxw042
Carrizosa E, Olivares-Nadal AV, Ramírez-Cobo P. A sparsity-controlled vector autoregressive model. Biostatistics. 2017 Apr 01;18(2):244-259. doi: 10.1093/biostatistics/kxw042. PMID: 27655816.
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Modelling stillbirth mortality reduction with the Lives Saved Tool.

BMC public health

Blencowe H, Chou VB, Lawn JE, Bhutta ZA.
PMID: 29143647
BMC Public Health. 2017 Nov 07;17:784. doi: 10.1186/s12889-017-4742-5.

BACKGROUND: The worldwide burden of stillbirths is large, with an estimated 2.6 million babies stillborn in 2015 including 1.3 million dying during labour. The Every Newborn Action Plan set a stillbirth target of ≤12 per 1000 in all countries...

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Blencowe H, Chou VB, Lawn JE, et al. Modelling stillbirth mortality reduction with the Lives Saved Tool. BMC Public Health. 2017;17:784doi: 10.1186/s12889-017-4742-5.
Blencowe, H., Chou, V. B., Lawn, J. E., & Bhutta, Z. A. (2017). Modelling stillbirth mortality reduction with the Lives Saved Tool. BMC public health, 17784. https://doi.org/10.1186/s12889-017-4742-5
Blencowe, Hannah, et al. "Modelling stillbirth mortality reduction with the Lives Saved Tool." BMC public health vol. 17 (2017): 784. doi: https://doi.org/10.1186/s12889-017-4742-5
Blencowe H, Chou VB, Lawn JE, Bhutta ZA. Modelling stillbirth mortality reduction with the Lives Saved Tool. BMC Public Health. 2017 Nov 07;17:784. doi: 10.1186/s12889-017-4742-5. PMID: 29143647; PMCID: PMC5688483.
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Computational Complexity and Human Decision-Making.

Trends in cognitive sciences

Bossaerts P, Murawski C.
PMID: 29149998
Trends Cogn Sci. 2017 Dec;21(12):917-929. doi: 10.1016/j.tics.2017.09.005.

The rationality principle postulates that decision-makers always choose the best action available to them. It underlies most modern theories of decision-making. The principle does not take into account the difficulty of finding the best option. Here, we propose that...

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Bossaerts P, Murawski C. Computational Complexity and Human Decision-Making. Trends Cogn Sci. 2017;21(12):917-929doi: 10.1016/j.tics.2017.09.005.
Bossaerts, P., & Murawski, C. (2017). Computational Complexity and Human Decision-Making. Trends in cognitive sciences, 21(12), 917-929. https://doi.org/10.1016/j.tics.2017.09.005
Bossaerts, Peter, and Murawski, Carsten. "Computational Complexity and Human Decision-Making." Trends in cognitive sciences vol. 21,12 (2017): 917-929. doi: https://doi.org/10.1016/j.tics.2017.09.005
Bossaerts P, Murawski C. Computational Complexity and Human Decision-Making. Trends Cogn Sci. 2017 Dec;21(12):917-929. doi: 10.1016/j.tics.2017.09.005. PMID: 29149998.
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Large-scale dynamo growth rates from numerical simulations and implications for mean-field theories.

Physical review. E, Statistical, nonlinear, and soft matter physics

Park K, Blackman EG, Subramanian K.
PMID: 23767646
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 May;87(5):053110. doi: 10.1103/PhysRevE.87.053110. Epub 2013 May 28.

Understanding large-scale magnetic field growth in turbulent plasmas in the magnetohydrodynamic limit is a goal of magnetic dynamo theory. In particular, assessing how well large-scale helical field growth and saturation in simulations match those predicted by existing theories is...

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Park K, Blackman EG, Subramanian K. Large-scale dynamo growth rates from numerical simulations and implications for mean-field theories. Phys Rev E Stat Nonlin Soft Matter Phys. 2013;87(5):053110doi: 10.1103/PhysRevE.87.053110.
Park, K., Blackman, E. G., & Subramanian, K. (2013). Large-scale dynamo growth rates from numerical simulations and implications for mean-field theories. Physical review. E, Statistical, nonlinear, and soft matter physics, 87(5), 053110. https://doi.org/10.1103/PhysRevE.87.053110
Park, Kiwan, et al. "Large-scale dynamo growth rates from numerical simulations and implications for mean-field theories." Physical review. E, Statistical, nonlinear, and soft matter physics vol. 87,5 (2013): 053110. doi: https://doi.org/10.1103/PhysRevE.87.053110
Park K, Blackman EG, Subramanian K. Large-scale dynamo growth rates from numerical simulations and implications for mean-field theories. Phys Rev E Stat Nonlin Soft Matter Phys. 2013 May;87(5):053110. doi: 10.1103/PhysRevE.87.053110. Epub 2013 May 28. PMID: 23767646.
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An interactive simulated electronic health record using Google Drive.

Computers, informatics, nursing : CIN

Rubbelke CS, Keenan SC, Haycraft LL.
PMID: 24441168
Comput Inform Nurs. 2014 Jan;32(1):1-6. doi: 10.1097/CIN.0000000000000043.

No abstract available.

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Rubbelke CS, Keenan SC, Haycraft LL. An interactive simulated electronic health record using Google Drive. Comput Inform Nurs. 2014;32(1):1-6doi: 10.1097/CIN.0000000000000043.
Rubbelke, C. S., Keenan, S. C., & Haycraft, L. L. (2014). An interactive simulated electronic health record using Google Drive. Computers, informatics, nursing : CIN, 32(1), 1-6. https://doi.org/10.1097/CIN.0000000000000043
Rubbelke, Cynthia S, et al. "An interactive simulated electronic health record using Google Drive." Computers, informatics, nursing : CIN vol. 32,1 (2014): 1-6. doi: https://doi.org/10.1097/CIN.0000000000000043
Rubbelke CS, Keenan SC, Haycraft LL. An interactive simulated electronic health record using Google Drive. Comput Inform Nurs. 2014 Jan;32(1):1-6. doi: 10.1097/CIN.0000000000000043. PMID: 24441168.
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Statistical mechanics of two-dimensional shuffled foams: geometry-topology correlation in small or large disorder limits.

Physical review. E, Statistical, nonlinear, and soft matter physics

Durand M, Kraynik AM, van Swol F, Käfer J, Quilliet C, Cox S, Ataei Talebi S, Graner F.
PMID: 25019778
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jun;89(6):062309. doi: 10.1103/PhysRevE.89.062309. Epub 2014 Jun 19.

Bubble monolayers are model systems for experiments and simulations of two-dimensional packing problems of deformable objects. We explore the relation between the distributions of the number of bubble sides (topology) and the bubble areas (geometry) in the low liquid...

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Durand M, Kraynik AM, van Swol F, et al. Statistical mechanics of two-dimensional shuffled foams: geometry-topology correlation in small or large disorder limits. Phys Rev E Stat Nonlin Soft Matter Phys. 2014;89(6):062309doi: 10.1103/PhysRevE.89.062309.
Durand, M., Kraynik, A. M., van Swol, F., Käfer, J., Quilliet, C., Cox, S., Ataei Talebi, S., & Graner, F. (2014). Statistical mechanics of two-dimensional shuffled foams: geometry-topology correlation in small or large disorder limits. Physical review. E, Statistical, nonlinear, and soft matter physics, 89(6), 062309. https://doi.org/10.1103/PhysRevE.89.062309
Durand, Marc, et al. "Statistical mechanics of two-dimensional shuffled foams: geometry-topology correlation in small or large disorder limits." Physical review. E, Statistical, nonlinear, and soft matter physics vol. 89,6 (2014): 062309. doi: https://doi.org/10.1103/PhysRevE.89.062309
Durand M, Kraynik AM, van Swol F, Käfer J, Quilliet C, Cox S, Ataei Talebi S, Graner F. Statistical mechanics of two-dimensional shuffled foams: geometry-topology correlation in small or large disorder limits. Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jun;89(6):062309. doi: 10.1103/PhysRevE.89.062309. Epub 2014 Jun 19. PMID: 25019778.
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GPU-accelerated model for fast, three-dimensional fluid-structure interaction computations.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Nita C, Itu L, Mihalef V, Sharma P, Rapaka S.
PMID: 26736424
Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:965-8. doi: 10.1109/EMBC.2015.7318524.

In this paper we introduce a methodology for performing one-way Fluid-Structure interaction (FSI), i.e. where the motion of the wall boundaries is imposed. We use a Graphics Processing Unit (GPU) accelerated Lattice-Boltzmann Method (LBM) implementation and present an efficient...

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Nita C, Itu L, Mihalef V, et al. GPU-accelerated model for fast, three-dimensional fluid-structure interaction computations. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:965-8doi: 10.1109/EMBC.2015.7318524.
Nita, C., Itu, L., Mihalef, V., Sharma, P., & Rapaka, S. (2015). GPU-accelerated model for fast, three-dimensional fluid-structure interaction computations. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2015965-8. https://doi.org/10.1109/EMBC.2015.7318524
Nita, Cosmin, et al. "GPU-accelerated model for fast, three-dimensional fluid-structure interaction computations." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2015 (2015): 965-8. doi: https://doi.org/10.1109/EMBC.2015.7318524
Nita C, Itu L, Mihalef V, Sharma P, Rapaka S. GPU-accelerated model for fast, three-dimensional fluid-structure interaction computations. Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:965-8. doi: 10.1109/EMBC.2015.7318524. PMID: 26736424.
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Showing 25 to 36 of 1842 entries