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2020 – today
- 2025
[j3]Yajun Yu
, Steve Jiang, Robert Timmerman, Hao Peng:
Leveraging Compressed Sensing and Radiomics for Robust Feature Selection for Outcome Prediction in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy. Adv. Intell. Syst. 7(12) (2025)- [i7]Hao Peng, Steve Jiang, Robert Timmerman:
Exploring Strategies for Personalized Radiation Therapy Part II Predicting Tumor Drift Patterns with Diffusion Models. CoRR abs/2506.17491 (2025) - [i6]Hao Peng, Steve B. Jiang, Robert Timmerman:
Exploring Strategies for Personalized Radiation Therapy Part I Unlocking Response-Related Tumor Subregions with Class Activation Mapping. CoRR abs/2506.17536 (2025) - [i5]Hao Peng, Yuanyuan Zhang, Steve Jiang, Robert Timmerman, John Minna:
Exploring Strategies for Personalized Radiation Therapy: Part III Identifying genetic determinants for Radiation Response with Meta Learning. CoRR abs/2508.08030 (2025) - [i4]Yajun Yu, Steve Jiang, Robert Timmerman, Hao Peng:
Leveraging Support Vector Regression, Radiomics and Dosiomics for Outcome Prediction in Personalized Ultra-fractionated Stereotactic Adaptive Radiotherapy (PULSAR). CoRR abs/2509.07872 (2025) - [i3]Yajun Yu, Guoping Xu, Steve Jiang, Robert Timmerman, John Minna, Yuanyuan Zhang, Hao Peng:
Integrated Transcriptomic-proteomic Biomarker Identification for Radiation Response Prediction in Non-small Cell Lung Cancer Cell Lines. CoRR abs/2511.22735 (2025) - 2024
- [j2]Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Daniel Yang, Dan Nguyen, Mu-Han Lin, Robert Timmerman, Xinlei Wang, Steve B. Jiang:
Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapy. Mach. Learn. Sci. Technol. 5(2): 25077 (2024) - [i2]Hao Peng, Casey Moore, Debabrata Saha, Steve Jiang, Robert Timmerman:
Understanding the PULSAR Effect in Combined Radiotherapy and Immunotherapy through Attention Mechanisms with a Transformer Model. CoRR abs/2403.04175 (2024) - 2022
- [i1]Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Dan Nguyen, Xinlei Wang, Mu-Han Lin, Robert Timmerman, Steve B. Jiang:
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. CoRR abs/2210.05673 (2022)
2010 – 2019
- 2018
- [j1]Shulong Li, Ning Yang, Bin Li, Zhiguo Zhou, Hongxia Hao, Michael R. Folkert, Puneeth Iyengar, Kenneth Westover, Hak Choy, Robert Timmerman, Steve B. Jiang, Jing Wang:
A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT. Medical Image Anal. 50: 106-116 (2018)
Coauthor Index
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