| Deep learning for patient‐specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks MJ Nyflot, P Thammasorn, LS Wootton, EC Ford, WA Chaovalitwongse Medical physics 46 (2), 456-464, 2019 | 124 | 2019 |
| 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 | 20 | 2022 |
| Real-time method for counting unseen stacked objects in mobile P Thammasorn, S Boonchu, A Kawewong 2013 IEEE International Conference on Image Processing, 4103-4107, 2013 | 18 | 2013 |
| Nearest neighbor-based strategy to optimize multi-view triplet network for classification of small-sample medical imaging data P Thammasorn, WA Chaovalitwongse, DS Hippe, LS Wootton, EC Ford, ... IEEE Transactions on Neural Networks and Learning Systems 34 (2), 586-600, 2021 | 12 | 2021 |
| Voxel forecast for precision oncology: predicting spatially variant and multiscale cancer therapy response on longitudinal quantitative molecular imaging SR Bowen, DS Hippe, WA Chaovalitwongse, C Duan, P Thammasorn, ... Clinical Cancer Research 25 (16), 5027-5037, 2019 | 11 | 2019 |
| Regularizing the Deepsurv network using projection loss for medical risk assessment P Thammasorn, SK Schaub, DS Hippe, MB Spraker, JC Peeken, ... IEEE Access 10, 8005-8020, 2022 | 9 | 2022 |
| Sensitivity analysis of FDG PET tumor voxel cluster radiomics and dosimetry for predicting mid-chemoradiation regional response of locally advanced lung cancer C Duan, WA Chaovalitwongse, F Bai, DS Hippe, S Wang, P Thammasorn, ... Physics in Medicine & Biology 65 (20), 205007, 2020 | 8 | 2020 |
| 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 | 7 | 2022 |
| Deep-learning derived features for lung nodule classification with limited datasets P Thammasorn, W Wu, LA Pierce, SN Pipavath, PD Lampe, AM Houghton, ... Medical Imaging 2018: Computer-Aided Diagnosis 10575, 333-339, 2018 | 5 | 2018 |
| Deep convolutional triplet network for quantitative medical image analysis with comparative case study of gamma image classification P Thammasorn, WA Chaovalitwongse, L Wootton, E Ford, M Nyflot 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 5 | 2017 |
| Augmenting data with GANs for firearms detection in cargo x-ray images P Thammasorn, B Oztan Anomaly Detection and Imaging with X-Rays (ADIX) VII 12104, 40-49, 2022 | 2 | 2022 |
| Boost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data R Iranzad, X Liu, W Chaovalitwongse, DS Hippe, S Wang, J Han, ... arXiv preprint arXiv:2101.11190, 2021 | 1 | 2021 |
| Supervised Representation Learning for Improving Prediction Performance in Medical Decision Support Applications P Thammasorn 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 |
| A Deep Triplet Network with Cox Regression for Survival Prediction From Magnetic Resonance Imaging (MRI) in Patients with Soft Tissue Sarcoma P Thammasorn, S Schaub, D Hippe, M Spraker, J Peeken, L Wootton, ... MEDICAL PHYSICS 47 (6), E315-E316, 2020 | | 2020 |
| Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification P Thammasorn, D Hippe, W Chaovalitwongse, M Spraker, L Wootton, ... arXiv preprint arXiv:1911.07940, 2019 | | 2019 |
| Machine Learning of Tumor Cluster Dosi-Radiomics to Predict Regional Changes on Early-Response FDG PET/CT Imaging of FLARE-RT Protocol Patients C Duan, W Chaovalitwongse, K Puk, P Thammasorn, S Wang, D Hippe, ... MEDICAL PHYSICS 45 (6), E441-E442, 2018 | | 2018 |
| BEST IN PHYSICS (JOINT IMAGING-THERAPY): Variogram-Weighted Generalized Least Squares Regression to Predict Spatially Variant Tumor Vaxel Response on Longitudinal FDG-PET/CT … D Hippe, W Chaovalitwongse, C Duan, P Thammasorn, X Liu, R Miyaoka, ... MEDICAL PHYSICS 45 (6), E581-E581, 2018 | | 2018 |
| Saliency-weighted holistic scene text recognition for unseen place categorization P Thammasorn, K Patanukhom, R Pimup 2014 11th International Joint Conference on Computer Science and Software …, 2014 | | 2014 |
