Application of artificial neural networks to X‐ray fluorescence spectrum analysis F Li, Z Gu, L Ge, D Sun, X Deng, S Wang, B Hu, J Xu X‐Ray Spectrometry 48 (2), 138-150, 2019 | 16 | 2019 |
Computerized decision support for bladder cancer treatment response assessment in CT urography: Effect on diagnostic accuracy in multi-institution multi-specialty study D Sun, L Hadjiiski, A Alva, Y Zakharia, M Joshi, HP Chan, R Garje, ... Tomography 8 (2), 644-656, 2022 | 7 | 2022 |
Optimization of the electron beam dump for a GeV-class laser electron accelerator T Shi, D Sun, I Jovanovic, G Kalinchenko, K Krushelnick, CC Kuranz, ... Applied Radiation and Isotopes 176, 109853, 2021 | 2 | 2021 |
Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors D Sun, L Hadjiiski, J Gormley, HP Chan, EM Caoili, RH Cohan, A Alva, ... Cancers 15 (17), 4372, 2023 | 1 | 2023 |
Large language model-assisted information extraction from clinical reports for survival prediction of bladder cancer patients D Sun, L Hadjiiski, J Gormley, HP Chan, EM Caoili, R Cohan, A Alva, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 449-454, 2024 | | 2024 |
Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics D Sun, L Hadjiiski, HP Chan, R Cohan, E Caoili, A Alva, K Cha, R Samala, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 1246533, 2023 | | 2023 |
Effect of computerized decision support on diagnostic accuracy and intra-observer variability in multi-institutional observer performance study for bladder cancer treatment … D Sun, L Hadjiiski, R Garje, Y Zakharia, L Pomerantz, M Joshi, A Alva, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 116-122, 2022 | | 2022 |