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Di Sun
Di Sun
Verified email at umich.edu
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Year
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
162019
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
72022
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
22021
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
12023
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
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