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Payman Ghasemi
Payman Ghasemi
Data Scientist @ MD Anderson Cancer Center
Verified email at usf.edu
Title
Cited by
Cited by
Year
A branch-and-bound algorithm for a class of mixed integer linear maximum multiplicative programs: A bi-objective optimization approach
PG Saghand, H Charkhgard, C Kwon
Computers & Operations Research 101, 263-274, 2019
292019
An exact multiobjective optimization approach for evaluating water distribution infrastructure criticality and geospatial interdependence
N Abdel‐Mottaleb, P Ghasemi Saghand, H Charkhgard, Q Zhang
Water Resources Research 55 (7), 5255-5276, 2019
272019
Exact solution approaches for integer linear generalized maximum multiplicative programs through the lens of multi-objective optimization
PG Saghand, H Charkhgard
Computers & Operations Research 137, 105549, 2022
132022
A criterion space search algorithm for mixed integer linear maximum multiplicative programs: a multiobjective optimization approach
P Ghasemi Saghand, H Charkhgard
International Transactions in Operational Research, 2021
9*2021
Identifying critical isolation valves in a water distribution network: A socio-technical approach
N Abdel-Mottaleb, PG Saghand, MJ Wakhungu, H Charkhgard, EC Wells, ...
Water 14 (21), 3587, 2022
62022
SiteOpt: an open‐source R‐package for site selection and portfolio optimization
P Ghasemi Saghand, Z Haider, H Charkhgard, M Eaton, J Martin, S Yurek, ...
Ecography 44 (11), 1678-1685, 2021
42021
A deep learning approach utilizing clinical and molecular data for identifying prognostic biomarkers in patients treated with immune checkpoint inhibitors: An ORIEN pan-cancer …
P Ghasemi Saghand, I El Naqa, AC Tan, M Xie, D Dai, JL Chen, A Ratan, ...
Journal of Clinical Oncology 40 (16_suppl), 2619-2619, 2022
32022
A criterion space branch-and-cut algorithm for mixed integer bilinear maximum multiplicative programs
V Mahmoodian, I Dayarian, P Ghasemi Saghand, Y Zhang, H Charkhgard
INFORMS Journal on Computing 34 (3), 1453-1470, 2022
32022
A cooperative game solution approach for intensity modulated radiation therapy design: Nash Social Welfare optimization
PG Saghand, H Charkhgard
Physics in Medicine & Biology 66 (7), 075011, 2021
32021
Deep Learning–Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy
D Dudas, PG Saghand, TJ Dilling, BA Perez, SA Rosenberg, I El Naqa
International Journal of Radiation Oncology* Biology* Physics, 2023
22023
Solving multiplicative programs by binary-encoding the multiplication operation
PG Saghand, F Rigterink, V Mahmoodian, H Charkhgard
Computers & Operations Research 159, 106340, 2023
12023
Predictors of immunotherapeutic benefits in patients with advanced melanoma and other malignancies treated with immune checkpoint inhibitors utilizing ORIEN “real-world” data.
AA Tarhini, AC Tan, M Xie, I El Naqa, P Ghasemi Saghand, D Dai, ...
Journal of Clinical Oncology 40 (16_suppl), 2618-2618, 2022
12022
The T Cell Immunoscore as a Reference for Biomarker Development Utilizing Real-World Data from Patients with Advanced Malignancies Treated with Immune Checkpoint Inhibitors
I Eljilany, PG Saghand, J Chen, A Ratan, M McCarter, J Carpten, ...
Cancers 15 (20), 4913, 2023
2023
Novel Dose Criteria for Lung Cancer SBRT to Improve Local Control in Patients Treated to 50 Gy/5 Fractions Using Deep Learning Methods and Explainability Techniques
D Dudas, P Ghasemi, TJ Dilling, BA Perez, SA Rosenberg, I El Naqa
International Journal of Radiation Oncology, Biology, Physics 117 (2), e662, 2023
2023
MO-0959 A novel multi-task hybrid deep neural network (DNN) predicts tumor progression during MRgRT
JM Bryant, PG Saghand, K Latifi, J Frakes, S Hoffe, E Moros, K Mittauer, ...
Radiotherapy and Oncology 182, S807-S808, 2023
2023
Dosimetric and Clinical Features Predictive of Local Failure in NSCLC Patients Treated with SBRT
PG Saghand, I El Naqa, TJ Dilling, SA Rosenberg, BA Perez
International Journal of Radiation Oncology, Biology, Physics 114 (3), e373, 2022
2022
1279 A novel graphical deep neural network learning approach utilizing molecular data for optimizing patient selection for treatment with immune checkpoint inhibitors: An ORIEN …
I El Naqa, P Ghasemi, AC Tan, J Chen, A Ratan, M McCarter, J Carpten, ...
Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022
2022
54 Prognostic value of T cell immunoscore estimated from transcriptomic data in patients with advanced malignancies treated with immune checkpoint inhibitors
A Tarhini, PG Saghand, AC Tan, J Chen, A Ratan, M McCarter, J Carpton, ...
Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022
2022
Fluency map optimization in intensity-modulated radiation therapy
H Charkhgard, PG Saghand
US Patent App. 17/559,912, 2022
2022
A Deep Learning Approach for Progression Prediction Using Morphological Changes in GTV During Treatment with MR-Guided Radiation Therapy
P Saghand, I El Naqa, S Rosenburg, J Bryant, K Latifi, J Frakes, S Hoffe, ...
MEDICAL PHYSICS 49 (6), E682-E682, 2022
2022
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