Year |
Citation |
Score |
2020 |
Wu VW, Epelman MA, Pasupathy KS, Sir MY, Deufel CL. A new optimization algorithm for HDR brachytherapy that improves DVH-based planning: Truncated Conditional Value-at-Risk (TCVaR). Biomedical Physics & Engineering Express. 6. PMID 35102005 DOI: 10.1088/2057-1976/abb4bc |
0.689 |
|
2020 |
Deufel CL, Epelman MA, Pasupathy KS, Sir MY, Wu VW, Herman MG. PNaV: A tool for generating a high-dose-rate brachytherapy treatment plan by navigating the Pareto surface guided by the visualization of multidimensional trade-offs. Brachytherapy. PMID 32423786 DOI: 10.1016/J.Brachy.2020.02.013 |
0.653 |
|
2020 |
Wu VW, Epelman MA, Pasupathy K, Sir M, Deufel C. A new optimization algorithm for HDR brachytherapy that improves DVH-based planning: Truncated Conditional Value-at-Risk (TCVaR) Biomedical Physics & Engineering Express. DOI: 10.1088/2057-1976/Abb4Bc |
0.673 |
|
2019 |
Hong Y, Cohn A, Epelman MA, Alpert A. Creating resident shift schedules under multiple objectives by generating and evaluating the Pareto frontier Operations Research For Health Care. 23: 100170. DOI: 10.1016/J.Orhc.2018.08.001 |
0.381 |
|
2019 |
Shehadeh KS, Cohn AE, Epelman MA. Analysis of models for the Stochastic Outpatient Procedure Scheduling Problem European Journal of Operational Research. 279: 721-731. DOI: 10.1016/J.Ejor.2019.06.023 |
0.397 |
|
2019 |
Deufel CL, Wu VW, Epelman M, Sir MY, Pasupathy KS. An Improved Optimization Algorithm for Brachytherapy HDR Treatment Planning Brachytherapy. 18: S20-S21. DOI: 10.1016/J.Brachy.2019.04.047 |
0.686 |
|
2018 |
Ryan CT, Smith RL, Epelman MA. A Simplex Method for Uncapacitated Pure-supply Infinite Network Flow Problems Siam Journal On Optimization. 28: 2022-2048. DOI: 10.1137/17M1137553 |
0.479 |
|
2018 |
Deufel C, Wu V, Epelman M, Sir M, Pasupathy K, Herman M. EP-2246: Generating and navigating a multi-criteria trade-off surface in high dose-rate brachytherapy Radiotherapy and Oncology. 127: S1241-S1242. DOI: 10.1016/S0167-8140(18)32555-6 |
0.634 |
|
2018 |
Deufel CL, Wu V, Epelman M, Sir M, Pasupathy K, Vaishnav B, Herman MG. A Multi-Criteria Optimization (MCO) Tool for Generating and Navigating the Trade-Off Surface In High Dose-Rate Brachytherapy Brachytherapy. 17: S135. DOI: 10.1016/J.Brachy.2018.04.252 |
0.669 |
|
2017 |
Lee I, Epelman MA, Romeijn HE, Smith RL. Simplex Algorithm for Countable-State Discounted Markov Decision Processes Operations Research. 65: 1029-1042. DOI: 10.1287/Opre.2017.1598 |
0.524 |
|
2017 |
Lemay B, Cohn A, Epelman M, Gorga S. New Methods for Resolving Conflicting Requests with Examples from Medical Residency Scheduling Production and Operations Management. 26: 1778-1793. DOI: 10.1111/Poms.12728 |
0.425 |
|
2017 |
Shi Y, Reich D, Epelman M, Klampfl E, Cohn A. An analytical approach to prototype vehicle test scheduling Omega. 67: 168-176. DOI: 10.1016/J.Omega.2016.05.003 |
0.325 |
|
2016 |
Wu VW, Epelman MA, Wang H, Edwin Romeijn H, Feng M, Cao Y, Ten Haken RK, Matuszak MM. Optimizing global liver function in radiation therapy treatment planning. Physics in Medicine and Biology. 61: 6465-6484. PMID 27518786 DOI: 10.1088/0031-9155/61/17/6465 |
0.354 |
|
2016 |
Reich D, Shi Y, Epelman M, Cohn A, Barnes E, Arthurs K, Klampfl E. Scheduling crash tests at ford motor company Interfaces. 46: 409-423. DOI: 10.1287/Inte.2016.0855 |
0.392 |
|
2015 |
Wu V, Epelman M, Romeijn E, Feng M, Cao Y, Wang H, Ten Haken R, Matuszak M. TH-AB-BRB-08: Optimizing Global Liver Function in Liver SBRT Treatment Planning. Medical Physics. 42: 3705. PMID 26129438 DOI: 10.1118/1.4926139 |
0.384 |
|
2015 |
Peng F, Jiang SB, Romeijn HE, Epelman MA. VMATc: VMAT with constant gantry speed and dose rate. Physics in Medicine and Biology. 60: 2955-79. PMID 25789937 DOI: 10.1088/0031-9155/60/7/2955 |
0.475 |
|
2015 |
Cheng S, Nicholson BE, Epelman MA, Reaume DJ. A dynamic programming approach to achieving an optimal end-state along a serial production line Ieee Engineering Management Review. 43: 98-98. DOI: 10.1109/Emr.2015.7433294 |
0.775 |
|
2015 |
Dolinskaya IS, Epelman MA, Şişikoğlu Sir E, Smith RL. Parameter-Free Sampled Fictitious Play for Solving Deterministic Dynamic Programming Problems Journal of Optimization Theory and Applications. DOI: 10.1007/S10957-015-0798-5 |
0.566 |
|
2014 |
Lee I, Epelman MA, Romeijn HE, Smith RL. Extreme point characterization of constrained nonstationary infinite-horizon Markov decision processes with finite state space Operations Research Letters. 42: 238-245. DOI: 10.1016/J.Orl.2014.03.001 |
0.525 |
|
2013 |
Long T, Matuszak M, Schipper M, Epelman M, Kong F, Ten Haken R, Romeijn E. MO-A-137-06: A Stochastic Optimization Approach to Adaptive Lung Radiation Therapy Treatment Planning. Medical Physics. 40: 388. PMID 28518372 DOI: 10.1118/1.4815209 |
0.306 |
|
2013 |
Cheng SF, Nicholson BE, Epelman MA, Reaume DJ, Smith RL. A dynamic programming approach to achieving an optimal end-state along a serial production line Iie Transactions (Institute of Industrial Engineers). 45: 1278-1292. DOI: 10.1080/0740817X.2013.770183 |
0.761 |
|
2012 |
Peng F, Jia X, Gu X, Epelman MA, Romeijn HE, Jiang SB. A new column-generation-based algorithm for VMAT treatment plan optimization. Physics in Medicine and Biology. 57: 4569-88. PMID 22722760 DOI: 10.1088/0031-9155/57/14/4569 |
0.483 |
|
2012 |
Sir MY, Epelman MA, Pollock SM. Stochastic programming for off-line adaptive radiotherapy Annals of Operations Research. 196: 767-797. DOI: 10.1007/S10479-010-0779-X |
0.761 |
|
2011 |
Sisikoglu E, Epelman MA, Smith RL. A sampled fictitious play based learning algorithm for infinite horizon Markov decision processes Proceedings - Winter Simulation Conference. 4086-4097. DOI: 10.1109/WSC.2011.6148098 |
0.751 |
|
2011 |
Epelman M, Ghate A, Smith RL. Sampled fictitious play for approximate dynamic programming Computers and Operations Research. 38: 1705-1718. DOI: 10.1016/J.Cor.2011.01.023 |
0.571 |
|
2008 |
Atlason J, Epelman MA, Henderson SG. Optimizing call center staffing using simulation and analytic center cutting-plane methods Management Science. 54: 295-309. DOI: 10.1287/Mnsc.1070.0774 |
0.74 |
|
2008 |
Epelman MA. Comments on: Intensity modulated radiation therapy treatment plan optimization Top. 16: 244-245. DOI: 10.1007/S11750-008-0065-0 |
0.408 |
|
2006 |
Sir MY, Pollock SM, Epelman MA, Lam KL, Ten Haken RK. Ideal spatial radiotherapy dose distributions subject to positional uncertainties. Physics in Medicine and Biology. 51: 6329-47. PMID 17148821 DOI: 10.1088/0031-9155/51/24/004 |
0.746 |
|
2006 |
Cheng SF, Epelman MA, Smith RL. CoSIGN: A parallel algorithm for coordinated traffic signal control Ieee Transactions On Intelligent Transportation Systems. 7: 551-564. DOI: 10.1109/Tits.2006.884617 |
0.533 |
|
2006 |
Lee CG, Epelman MA, White CC, Bozer YA. A shortest path approach to the multiple-vehicle routing problem with split pick-ups Transportation Research Part B: Methodological. 40: 265-284. DOI: 10.1016/J.Trb.2004.11.004 |
0.442 |
|
2006 |
Nowak M, Epelman M, Pollock SM. Assignment of swimmers to dual meet events Computers and Operations Research. 33: 1951-1962. DOI: 10.1016/J.Cor.2004.09.028 |
0.652 |
|
2005 |
Epelman MA, Pollock S, Netter B, Low BS. Anisogamy, expenditure of reproductive effort, and the optimality of having two sexes Operations Research. 53: 560-567. DOI: 10.1287/Opre.1040.0179 |
0.635 |
|
2005 |
Lambert TJ, Epelman MA, Smith RL. A fictitious play approach to large-scale optimization Operations Research. 53: 477-489. DOI: 10.1287/Opre.1040.0178 |
0.743 |
|
2005 |
Kessler ML, Mcshan DL, Epelman MA, Vineberg KA, Eisbruch A, Lawrence TS, Fraass BA. Costlets: A generalized approach to cost functions for automated optimization of IMRT treatment plans Optimization and Engineering. 6: 421-448. DOI: 10.1007/S11081-005-2066-2 |
0.404 |
|
2004 |
Atlason J, Epelman MA, Henderson SG. Call center staffing with simulation and cutting plane methods Annals of Operations Research. 127: 333-358. DOI: 10.1023/B:Anor.0000019095.91642.Bb |
0.737 |
|
2003 |
Atlason J, Epelman MA, Henderson SG. Using simulation to approximate subgradients of convex performance measures in service systems Winter Simulation Conference Proceedings. 2: 1824-1832. |
0.743 |
|
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