Year |
Citation |
Score |
2018 |
Castillo FS, Bertrand CA, Corcoran TE, Shapiro ME, Parker RS. A Dynamic Model of Cystic Fibrosis Airway Epithelium Electrophysiology Ifac-Papersonline. 51: 94-97. DOI: 10.1016/J.Ifacol.2018.09.027 |
0.332 |
|
2018 |
Shapiro ME, Corcoran TE, Bertrand CA, Serrano Castillo F, Parker RS. Physiologically-Based Model of Fluid Absorption and Mucociliary Clearance in Cystic Fibrosis Ifac-Papersonline. 51: 102-103. DOI: 10.1016/J.Ifacol.2018.09.023 |
0.312 |
|
2017 |
Richards E, Clermont G, Parker RS. Modeling Fluid Volume and Creatinine Dynamics during Acute Kidney Injury and Edema Ifac-Papersonline. 50: 6678-6683. DOI: 10.1016/J.Ifacol.2017.08.1160 |
0.342 |
|
2017 |
Pritchard-Bell A, Clermont G, Knab TD, Maalouf J, Vilkhovoy M, Parker RS. Modeling glucose and subcutaneous insulin dynamics in critical care Control Engineering Practice. 58: 268-275. DOI: 10.1016/J.Conengprac.2016.07.005 |
0.316 |
|
2016 |
Pressly M, Parker R, Neal M, Clermont G. 598: A BIOPHYSICS-MOTIVATED DYNAMIC MODEL OF COAGULOPATHY TO INFORM ENDOTYPES IN THE CRITICALLY ILL. Critical Care Medicine. 44: 226. PMID 27850237 DOI: 10.1097/01.Ccm.0000509275.90281.42 |
0.318 |
|
2016 |
Zhang LA, Parker RS, Swigon D, Banerjee I, Bahrami S, Redl H, Clermont G. A One-Nearest-Neighbor Approach to Identify the Original Time of Infection Using Censored Baboon Sepsis Data. Critical Care Medicine. PMID 26968022 DOI: 10.1097/Ccm.0000000000001623 |
0.31 |
|
2016 |
Knab TD, Clermont G, Parker RS. A “Virtual Patient” Cohort and Mathematical Model of Glucose Dynamics in Critical Care Ifac-Papersonline. 49: 1-7. DOI: 10.1016/J.Ifacol.2016.12.094 |
0.334 |
|
2015 |
Knab TD, Little SR, Parker RS. A systems approach to modeling drug release from polymer microspheres to accelerate in vitro to in vivo translation. Journal of Controlled Release : Official Journal of the Controlled Release Society. 211: 74-84. PMID 26003043 DOI: 10.1016/J.Jconrel.2015.04.045 |
0.308 |
|
2015 |
Knab TD, Clermont G, Parker RS. Zone model predictive control and moving horizon estimation for the regulation of blood glucose in critical care patients Ifac Proceedings Volumes (Ifac-Papersonline). 48: 1002-1007. DOI: 10.1016/J.Ifacol.2015.09.099 |
0.367 |
|
2014 |
Vilkhovoy M, Pritchard-Bell A, Clermont G, Parker RS. A Control-Relevant Model of Subcutaneous Insulin Absorption Ifac Proceedings Volumes. 47: 10988-10993. DOI: 10.3182/20140824-6-Za-1003.02360 |
0.35 |
|
2013 |
Gawel S, Clermont G, Ho T, Newman B, Yegneswaran B, Parker R. Individualized targeted glucose control to avoid hypoglycemia Critical Care. 17: 456. DOI: 10.1186/Cc12394 |
0.713 |
|
2013 |
Ho T, Clermont G, Parker RS. A model of neutrophil dynamics in response to inflammatory and cancer chemotherapy challenges Computers & Chemical Engineering. 51: 187-196. DOI: 10.1016/J.Compchemeng.2012.07.003 |
0.72 |
|
2012 |
Song SO, Song SO, Hogg J, Peng ZY, Parker R, Kellum JA, Clermont G. Ensemble models of neutrophil trafficking in severe sepsis. Plos Computational Biology. 8: e1002422. PMID 22412365 DOI: 10.1371/Journal.Pcbi.1002422 |
0.352 |
|
2012 |
Gawel S, Clermont G, Parker R. Model-based regulation of glucose in critical care Critical Care. 16: 178. DOI: 10.1186/Cc10785 |
0.326 |
|
2012 |
Song SO, Parker R, Clermont G. Understanding pathophysiologic mechanisms in severe sepsis using an ensemble of neutrophil kinetic based systemic inflammation model Journal of Critical Care. 27: e4. DOI: 10.1016/J.Jcrc.2012.01.019 |
0.313 |
|
2010 |
Parker RS, Clermont G. Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges. Journal of the Royal Society, Interface. 7: 989-1013. PMID 20147315 DOI: 10.1098/Rsif.2009.0517 |
0.303 |
|
2010 |
Hogg JS, Clermont G, Parker RS. Acute Inflammation Treatment via Particle Filter State Estimation and MPC Ifac Proceedings Volumes. 43: 272-277. DOI: 10.3182/20100705-3-Be-2011.00045 |
0.341 |
|
2009 |
Harrold JM, Parker RS. Clinically relevant cancer chemotherapy dose scheduling via mixed-integer optimization Computers & Chemical Engineering. 33: 2042-2054. DOI: 10.1016/J.Compchemeng.2009.06.005 |
0.693 |
|
2008 |
Kanick SC, Eiseman JL, Parker RS. Pharmacokinetic modeling of motexafin gadolinium disposition in mouse tissues using optical pharmacokinetic system measurements. Photodiagnosis and Photodynamic Therapy. 5: 276-84. PMID 19356671 DOI: 10.1016/J.Pdpdt.2008.11.005 |
0.314 |
|
2008 |
Daun S, Rubin J, Vodovotz Y, Roy A, Parker R, Clermont G. An ensemble of models of the acute inflammatory response to bacterial lipopolysaccharide in rats: Results from parameter space reduction Journal of Theoretical Biology. 253: 843-853. PMID 18550083 DOI: 10.1016/J.Jtbi.2008.04.033 |
0.344 |
|
2008 |
Florian JA, Eiseman JL, Parker RS. Nonlinear model predictive control for dosing daily anticancer agents using a novel saturating-rate cell-cycle model Computers in Biology and Medicine. 38: 339-347. PMID 18222419 DOI: 10.1016/J.Compbiomed.2007.12.003 |
0.363 |
|
2008 |
Hogg J, Clermont G, Kellum J, Parker R. Optimizing hemadsorption therapy with model predictive control Journal of Critical Care. 23: 273. DOI: 10.1016/J.Jcrc.2008.03.033 |
0.322 |
|
2007 |
Roy A, Parker RS. Dynamic modeling of exercise effects on plasma glucose and insulin levels. Journal of Diabetes Science and Technology. 1: 338-47. PMID 19885088 DOI: 10.3182/20060402-4-Br-2902.00509 |
0.301 |
|
2007 |
Soni AS, Parker RS. Tailored Sequence Design for Third-Order Volterra Model Identification Industrial & Engineering Chemistry Research. 46: 818-829. DOI: 10.1021/Ie0602198 |
0.717 |
|
2007 |
Doyle F, Jovanovic L, Seborg D, Parker RS, Bequette BW, Jeffrey AM, Xia X, Craig IK, McAvoy T. A tutorial on biomedical process control Journal of Process Control. 17: 571-572. DOI: 10.1016/J.Jprocont.2007.01.012 |
0.4 |
|
2006 |
Roy A, Parker RS. Dynamic modeling of free fatty acid, glucose, and insulin: an extended "minimal model". Diabetes Technology & Therapeutics. 8: 617-26. PMID 17109593 DOI: 10.1089/Dia.2006.8.617 |
0.327 |
|
2006 |
Antoine AL, Parker RS. AN ANALYTICAL SOLUTION TO MULTIVARIABLE NONLINEAR MPC FOR SECOND-ORDER LAGUERRE SYSTEMS Ifac Proceedings Volumes. 39: 111-116. DOI: 10.3182/20060402-4-Br-2902.00111 |
0.349 |
|
2005 |
Harrold JM, Eiseman JL, Joseph E, Strychor S, Zamboni WC, Parker RS. Control-relevant modeling of the antitumor effects of 9-nitrocamptothecin in SCID mice bearing HT29 human colon xenografts. Journal of Pharmacokinetics and Pharmacodynamics. 32: 65-83. PMID 16205839 DOI: 10.1007/S10928-005-2103-Y |
0.713 |
|
2005 |
Soni AS, Parker RS. EFFICIENT INPUT SIGNAL DESIGN FOR THIRD-ORDER VOLTERRA MODEL IDENTIFICATION Ifac Proceedings Volumes. 38: 464-469. DOI: 10.3182/20050703-6-Cz-1902.00078 |
0.706 |
|
2005 |
Florian JA, Parker RS. Empirical modeling for glucose control in critical care and diabetes European Journal of Control. 11: 601-616. DOI: 10.3166/Ejc.11.601-618 |
0.384 |
|
2004 |
Soni AS, Parker RS. Closed-Loop Control of Fed-Batch Bioreactors: A Shrinking-Horizon Approach Industrial & Engineering Chemistry Research. 43: 3381-3393. DOI: 10.1021/Ie030535B |
0.708 |
|
2004 |
Rubb JD, Parker RS. Glucose Control in Type I Diabetic Patients: A Volterra Model-Based Approach Ifac Proceedings Volumes. 37: 353-358. DOI: 10.1016/S1474-6670(17)38757-8 |
0.4 |
|
2004 |
Florian JA, Eiseman JL, Parker RS. A Nonlinear Model Predictive Control Algorithm for Breast Cancer Treatment Ifac Proceedings Volumes. 37: 929-940. DOI: 10.1016/S1474-6670(17)31928-6 |
0.368 |
|
2004 |
Parker RS, Doyle FJ, Henson MA. Integration of Biological Systems Content into the Process Dynamics and Control Curriculum Ifac Proceedings Volumes. 37: 467-474. DOI: 10.1016/S1474-6670(17)31853-0 |
0.485 |
|
2003 |
Komives C, Parker RS. Bioreactor state estimation and control. Current Opinion in Biotechnology. 14: 468-74. PMID 14580575 DOI: 10.1016/J.Copbio.2003.09.001 |
0.373 |
|
2002 |
Lenart PJ, Parker RS. Modeling exercise effects in type I diabetic patients Ifac Proceedings Volumes (Ifac-Papersonline). 15: 247-252. DOI: 10.3182/20020721-6-Es-1901.01350 |
0.304 |
|
2002 |
Florian JA, Parker RS. A NONLINEAR DATA–DRIVEN APPROACH TO TYPE I DIABETIC PATIENT MODELING Ifac Proceedings Volumes. 35: 115-120. DOI: 10.3182/20020721-6-Es-1901.01328 |
0.362 |
|
2001 |
Parker RS, Doyle FJ. Control-relevant modeling in drug delivery. Advanced Drug Delivery Reviews. 48: 211-28. PMID 11369083 DOI: 10.1016/S0169-409X(01)00114-4 |
0.532 |
|
2001 |
Parker RS, Doyle FJ, Peppas NA. The intravenous route to blood glucose control. Ieee Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society. 20: 65-73. PMID 11211662 DOI: 10.1109/51.897829 |
0.508 |
|
2001 |
Parker RS, Doyle FJ. Optimal control of a continuous bioreactor using an empirical nonlinear model Industrial and Engineering Chemistry Research. 40: 1939-1951. DOI: 10.1021/Ie000083S |
0.555 |
|
2001 |
Parker RS, Heemstra D, Doyle FJ, Pearson RK, Ogunnaike BA. The identification of nonlinear models for process control using tailored "plant-friendly" input sequences Journal of Process Control. 11: 237-250. DOI: 10.1016/S0959-1524(00)00050-0 |
0.549 |
|
2000 |
Rengasamy R, Parker RS, Doyle FJ. Issues in Design of Input Signals for the Identification of Nonlinear Models of Process Systems Ifac Proceedings Volumes. 33: 839-844. DOI: 10.1016/S1474-6670(17)38644-5 |
0.503 |
|
2000 |
Parker RS, Doyle FJ, Ward JH, Peppas NA. RobustH∞ glucose control in diabetes using a physiological model Aiche Journal. 46: 2537-2549. DOI: 10.1002/Aic.690461220 |
0.535 |
|
1999 |
Parker RS, Doyle FJ, Peppas NA. A model-based algorithm for blood glucose control in type I diabetic patients. Ieee Transactions On Bio-Medical Engineering. 46: 148-57. PMID 9932336 DOI: 10.1109/10.740877 |
0.561 |
|
1998 |
Parker RS, Doyle FJ. Nonlinear model predictive control of a continuous bioreactor at near-optimum conditions Proceedings of the American Control Conference. 4: 2549-2553. DOI: 10.1109/ACC.1998.703094 |
0.488 |
|
1998 |
Doyle FJ, Gatzke EP, Parker RS. Practical case studies for undergraduate process dynamics and control using process control modules Computer Applications in Engineering Education. 6: 181-191. DOI: 10.1002/(Sici)1099-0542(1998)6:3<181::Aid-Cae7>3.0.Co;2-9 |
0.704 |
|
Show low-probability matches. |