Multitask learning radiomics on longitudinal imaging to predict survival outcomes following risk-adaptive chemoradiation for non-small cell lung cancer P Forouzannezhad, D Maes, DS Hippe, P Thammasorn, R Iranzad, J Han, ... Cancers 14 (5), 1228, 2022 | 24 | 2022 |
A new model for operating room scheduling with elective patient strategy V Kayvanfar, MR Akbari Jokar, M Rafiee, S Sheikh, R Iranzad INFOR: Information Systems and Operational Research 59 (2), 309-332, 2021 | 17 | 2021 |
Gradient boosted trees for spatial data and its application to medical imaging data R Iranzad, X Liu, WA Chaovalitwongse, D Hippe, S Wang, J Han, ... IISE transactions on healthcare systems engineering 12 (3), 165-179, 2022 | 11 | 2022 |
A review of random forest-based feature selection methods for data science education and applications R Iranzad, X Liu International Journal of Data Science and Analytics, 1-15, 2024 | 6 | 2024 |
Structured adaptive boosting trees for detection of multicellular aggregates in fluorescence intravital microscopy R Iranzad, X Liu, K Dese, H Alkhadrawi, HT Snoderly, MF Bennewitz Microvascular Research, 104732, 2024 | | 2024 |
Ensemble Tree-Based Machine Learning for Imaging Data R Iranzad University of Arkansas, 2022 | | 2022 |
Voxel Forecast Classifier to Predict Spatially Variant Binary Tumor Voxel Response On Longitudinal FDG-PET/CT Imaging of FLARE-RT Protocol Patients S Bowen, D Hippe, W Chaovalitwongse, P Thammasorn, X Liu, R Iranzad, ... MEDICAL PHYSICS 47 (6), E672-E672, 2020 | | 2020 |