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ORCIDMasoud Zarepisheh
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- affiliation: University of Florida, Gainesville, USA
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Journal Articles
- 2022
[j17]Masoud Zarepisheh
, Linda Hong, Ying Zhou, Qijie Huang, Jie Yang, Gourav Jhanwar, Hai D. Pham, Pinar Dursun, Pengpeng Zhang, Margie Hunt, Gig S. Mageras, Jonathan T. Yang, Yoshiyasu Yamada, Joseph O. Deasy:
Automated and Clinically Optimal Treatment Planning for Cancer Radiotherapy. INFORMS J. Appl. Anal. 52(1): 69-89 (2022)- 2019
- [j16]Mostafa Naghavi, Ali Asghar Foroughi, Masoud Zarepisheh:
Inverse optimization for multi-objective linear programming. Optim. Lett. 13(2): 281-294 (2019) - 2018
- [j15]Masoud Zarepisheh, Lei Xing, Yinyu Ye:
A computation study on an integrated alternating direction method of multipliers for large scale optimization. Optim. Lett. 12(1): 3-15 (2018) - 2017
- [j14]Masoud Zarepisheh, Panos M. Pardalos:
An equivalent transformation of multi-objective optimization problems. Ann. Oper. Res. 249(1-2): 5-15 (2017) - 2015
- [j13]Alireza Davoodi, Masoud Zarepisheh, H. Zhiani Rezai:
The nearest MPSS pattern in data envelopment analysis. Ann. Oper. Res. 226(1): 163-176 (2015) - 2012
- [j12]Gholam Reza Jahanshahloo, Javad Vakili, Masoud Zarepisheh:
A Linear bilevel Programming Problem for Obtaining the Closest Targets and Minimum Distance of a Unit from the Strong Efficient Frontier. Asia Pac. J. Oper. Res. 29(2) (2012) - 2011
- [j11]Masoud Zarepisheh, Esmaile Khorram:
On the transformation of lexicographic nonlinear multiobjective programs to single objective programs. Math. Methods Oper. Res. 74(2): 217-231 (2011) - 2010
- [j10]Masoud Zarepisheh, Esmaile Khorram, Gholam Reza Jahanshahloo:
Returns to scale in multiplicative models in data envelopment analysis. Ann. Oper. Res. 173(1): 195-206 (2010) - [j9]Esmaile Khorram, Masoud Zarepisheh, B. A. Ghaznavi-ghosoni:
Sensitivity analysis on the priority of the objective functions in lexicographic multiple objective linear programs. Eur. J. Oper. Res. 207(3): 1162-1168 (2010) - 2009
- [j8]Majid Soleimani-Damaneh, Masoud Zarepisheh:
Linear transformations to decrease computational requirements of solving some known linear programming models. Ann. Oper. Res. 172(1): 37-43 (2009) - [j7]Mehdi Ghatee, S. Mehdi Hashemi, Masoud Zarepisheh, Esmaile Khorram:
Preemptive priority-based algorithms for fuzzy minimal cost flow problem: An application in hazardous materials transportation. Comput. Ind. Eng. 57(1): 341-354 (2009) - [j6]Masoud Zarepisheh, Majid Soleimani-Damaneh:
A dual simplex-based method for determination of the right and left returns to scale in DEA. Eur. J. Oper. Res. 194(2): 585-591 (2009) - [j5]Majid Soleimani-Damaneh, Masoud Zarepisheh:
Shannon's entropy for combining the efficiency results of different DEA models: Method and application. Expert Syst. Appl. 36(3): 5146-5150 (2009) - 2008
- [j4]Masoud Zarepisheh, Majid Soleimani-Damaneh:
Global variation of outputs with respect to the variation of inputs in performance analysis; generalized RTS. Eur. J. Oper. Res. 186(2): 786-800 (2008) - 2007
- [j3]Latif Pourkarimi, Masoud Zarepisheh:
A dual-based algorithm for solving lexicographic multiple objective programs. Eur. J. Oper. Res. 176(3): 1348-1356 (2007) - 2006
- [j2]Gholam Reza Jahanshahloo, Latif Pourkarimi, Masoud Zarepisheh:
Modified MAJ model for ranking decision making units in data envelopment analysis. Appl. Math. Comput. 174(2): 1054-1059 (2006) - [j1]Masoud Zarepisheh, Majid Soleimani-Damaneh, Latif Pourkarimi:
Determination of returns to scale by CCR formulation without chasing down alternative optimal solutions. Appl. Math. Lett. 19(9): 964-967 (2006)
Informal and Other Publications
- 2023
- [i4]Donghoon Lee, Ellen Yorke, Masoud Zarepisheh, Saad Nadeem, Yu-Chi Hu:
RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans. CoRR abs/2301.11422 (2023) - [i3]Anqi Fu, Vicki T. Taasti, Masoud Zarepisheh:
Distributed and Scalable Optimization for Robust Proton Treatment Planning. CoRR abs/2304.14568 (2023) - 2022
- [i2]Gourav Jhanwar, Navdeep Dahiya, Parmida Ghahremani, Masoud Zarepisheh, Saad Nadeem:
Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss Function. CoRR abs/2207.03414 (2022) - 2021
- [i1]Navdeep Dahiya, Gourav Jhanwar, Anthony J. Yezzi, Masoud Zarepisheh, Saad Nadeem:
Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans. CoRR abs/2106.03705 (2021)
Coauthor Index
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