Phawis Thammasorn

Deep learning for patient‐specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks

Matthew J. Nyflot, Phawis Thammasorn, Landon S. Wootton et al. · Medical Physics · 2018 · 123 citations

Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer

Parisa Forouzannezhad, Dominic Maes, Daniel S. Hippe et al. · Cancers · 2022 · 35 citations · Full text

Engineering, Diagnostic Imaging, Risk-adaptive Chemoradiation +17

Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data

Phawis Thammasorn, W. Art Chaovalitwongse, Daniel S. Hippe et al. · IEEE Transactions on Neural Networks and Learning Systems · 2021 · 27 citations

Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging

Stephen R. Bowen, Daniel S. Hippe, W. Art Chaovalitwongse et al. · Clinical Cancer Research · 2019 · 14 citations · Full text

Sensitivity analysis of FDG PET tumor voxel cluster radiomics and dosimetry for predicting mid-chemoradiation regional response of locally advanced lung cancer

Chunyan Duan, W. Art Chaovalitwongse, Fangyun Bai et al. · Physics in Medicine and Biology · 2020 · 13 citations · Full text

Engineering, Oncologic Imaging, Mid-chemoradiation Regional Response +22