Steve B. Jiang

Affiliations: 
2000-2007 Massachusetts General Hospital, Boston, MA 
 2007-2013 Physics (Biophysics) University of California, San Diego, La Jolla, CA 
 2013- University of Texas Southwestern Medical Center, Dallas, TX, United States 
Area:
Radiation Physics, Radiology
Website:
https://profiles.utsouthwestern.edu/profile/150563/steve-jiang.html
Google:
"Steve Bin Jiang" OR "Steve B Jiang"
Bio:

https://ieeexplore.ieee.org/author/37085768709
https://www.proquest.com/openview/fe2555d13f664443bd7e76a66929182b/1

Mean distance: (not calculated yet)
 

Parents

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Komanduri M. Ayyangar grad student 1998 Medical College of Ohio
 (Development of a compensator-based intensity-modulated radiation therapy system)

Children

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John Henry Lewis grad student 2010 UCSD
Yan J. Graves grad student 2013 UCSD
BETA: Related publications

Publications

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Maniscalco A, Mathew E, Parsons D, et al. (2024) Multimodal radiotherapy dose prediction using a multi-task deep learning model. Medical Physics
Peng H, Deng J, Jiang S, et al. (2024) Rethinking the potential role of dose painting in personalized ultra-fractionated stereotactic adaptive radiotherapy. Frontiers in Oncology. 14: 1357790
Zhuang T, Parsons D, Desai N, et al. (2024) Simulation and pre-planning omitted radiotherapy (SPORT): a feasibility study for prostate cancer. Biomedical Physics & Engineering Express
Lin J, Chen M, Lai Y, et al. (2023) ART2Dose: A comprehensive dose verification platform for online adaptive radiotherapy. Medical Physics
Maniscalco A, Liang X, Lin MH, et al. (2023) Intentional deep overfit learning for patient-specific dose predictions in adaptive radiotherapy. Medical Physics
Liang X, Chun J, Morgan H, et al. (2022) Segmentation by Test-Time Optimization for CBCT-based Adaptive Radiation Therapy. Medical Physics
Nguyen D, Lin MH, Sher D, et al. (2022) Advances in Automated Treatment Planning. Seminars in Radiation Oncology. 32: 343-350
Wu C, Nguyen D, Xing Y, et al. (2021) Improving Proton Dose Calculation Accuracy by Using Deep Learning. Machine Learning: Science and Technology. 2
Ma J, Nguyen D, Bai T, et al. (2021) A Feasibility Study on Deep Learning-Based Individualized 3D Dose Distribution Prediction. Medical Physics
Chen L, Liang X, Shen C, et al. (2021) Synthetic CT generation from CBCT images via unsupervised deep learning. Physics in Medicine and Biology. 66
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