| Automated treatment planning for a dedicated multi‐source intracranial radiosurgery treatment unit using projected gradient and grassfire algorithms K Ghobadi, HR Ghaffari, DM Aleman, DA Jaffray, M Ruschin Medical physics 39 (6Part1), 3134-3141, 2012 | 42 | 2012 |
| Robust inverse optimization K Ghobadi, T Lee, H Mahmoudzadeh, D Terekhov Operations Research Letters 46 (3), 339-344, 2018 | 32 | 2018 |
| Optimal resource and demand redistribution for healthcare systems under stress from COVID-19 F Parker, H Sawczuk, F Ganjkhanloo, F Ahmadi, K Ghobadi arXiv preprint arXiv:2011.03528, 2020 | 19 | 2020 |
| Inferring Linear Feasible Regions using Inverse Optimization K Ghobadi, H Mahmoudzadeh European Journal of Operational Research, 2020 | 19* | 2020 |
| Targeted rapid testing for SARS-CoV-2 in the emergency department is associated with large reductions in uninfected patient exposure time JS Hinson, RE Rothman, K Carroll, HH Mostafa, K Ghobadi, A Smith, ... Journal of Hospital Infection 107, 35-39, 2021 | 15 | 2021 |
| Automated treatment planning for a dedicated multi‐source intra‐cranial radiosurgery treatment unit accounting for overlapping structures and dose homogeneity K Ghobadi, HR Ghaffari, DM Aleman, DA Jaffray, M Ruschin Medical physics 40 (9), 091715, 2013 | 15 | 2013 |
| A social network under social distancing: risk-driven backbone management during COVID-19 and beyond Y Xia, Y Zhang, Z Zhong, G Yan, C Lim, SS Ahuja, S Bali, A Nikolaidis, ... 18th USENIX Symposium on Networked Systems Design and Implementation, 217-231, 2021 | 14 | 2021 |
| Artificial Intelligence-based Clinical Decision Support for COVID-19--Where Art Thou? M Unberath, K Ghobadi, S Levin, J Hinson, GD Hager Advanced Intelligent Systems https://onlinelibrary.wiley.com/doi/10.1002 …, 2020 | 13 | 2020 |
| Multi-hazard hospital evacuation planning during disease outbreaks using agent-based modeling F Haghpanah, K Ghobadi, BW Schafer International Journal of Disaster Risk Reduction 66, 102632, 2021 | 12 | 2021 |
| TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs. AP Iyer, Q Pu, K Patel, JE Gonzalez, I Stoica NSDI, 337-355, 2021 | 12 | 2021 |
| Interactive visual guidance for automated stereotactic radiosurgery treatment planning DA Ripsman, DM Aleman, K Ghobadi Expert Systems with Applications 42 (21), 8337-8348, 2015 | 12 | 2015 |
| Skeletonization for isocentre selection in Gamma KnifeŽ Perfexion™ E Doudareva, K Ghobadi, DM Aleman, M Ruschin, DA Jaffray Top 23, 369-385, 2015 | 9 | 2015 |
| On the discretize then optimize approach K Ghobadi, NS Nedialkov, T Terlaky Preprint for Industrial and Systems Engineering, 2009 | 8 | 2009 |
| Inverse learning: A data-driven framework to infer optimizations models F Ahmadi, F Ganjkhanloo, K Ghobadi arXiv preprint arXiv:2011.03038, 2020 | 6 | 2020 |
| A heat-transfer optimization problem K Ghobadi | 5 | 2006 |
| Optimization methods for patient positioning in Leksell Gamma Knife Perfexion K Ghobadi | 4 | 2014 |
| SU‐D‐211‐03: An Automated Inverse Planning Optimization Approach for Single‐Fraction and Fractionated Radiosurgery Using Gamma Knife Perfexion K Ghobadi, H Ghaffari, D Aleman, M Ruschin, D Jaffray Medical physics 39 (6Part3), 3610-3610, 2012 | 4 | 2012 |
| Translating a biologic revolution into an organizational overhaul K Ghobadi, AC Zenteno, AR Marshall, PF Dunn, R Levi, JH Stone NEJM Catalyst 3 (1), 2017 | 3 | 2017 |
| An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation K Nixon, S Jindal, F Parker, NG Reich, K Ghobadi, EC Lee, S Truelove, ... The Lancet Digital Health 4 (10), e738-e747, 2022 | 2 | 2022 |
| An open-source dataset on dietary behaviors and dash eating plan optimization constraints F Ahmadi, F Ganjkhanloo, K Ghobadi arXiv preprint arXiv:2010.07531, 2020 | 2 | 2020 |
Dionne AlemanProfessor of Industrial Engineering, University of TorontoVerified email at utoronto.ca
