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Iqbal Z, Nguyen D, Jiang S. Super-resolution 1H magnetic resonance spectroscopic imaging utilizing deep learning. arXiv:1802.07909.


Rozario T, Long T, Chen M, Lu W, Jiang S. Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling. arXiv:1801.00096.

Shen C, Gonzalez Y, Chen L, Jiang S, Jia X. Intelligent parameter tuning in optimization-based iterative CT reconstruction via deep reinforcement learning. arXiv:1711.00414. 

Iqbal Z, Luo D, Henry P, Kazemifar S, Rozario T, Yan Y, Westover K, Lu W, Nguyen D, Long T, Wang J, Choy, H, Jiang S. Accurate real-time localization tracking in a clinical environment using bluetooth low energy and deep learning. arXiv:1711.08149. 

Liu Y, Stojadinovic S, Hrycushko B, Wardak Z, Lau S, Lu W, Yan Y, Jiang S, Zhen X, Timmerman T, Nedzi L, Gu X. A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery. PLoS One. 2017 Oct 6;12(10):e0185844.

Zhen X, Chen J, Zhong Z, Hrycushko B, Zhou L, Jiang S, Jiang S, Albuquerque K, Gu X. Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study. Phys Med Biol. 2017 Oct 11;62(21):8246-8263.

Nguyen D, Long T, Jia X, Lu W, Gu X, Iqbal Z, Jiang S. Dose prediction with u-net: a feasibility study for predicting dose distributions from contours using deep learning on prostate IMRT patients. arXiv:1709.09233. 

Hao H, Zhou Z, Li S, Maquilan G, Folkert MR, Iyengar P, Westover K, Albuquerque K, Liu F, Choy H, Timmerman R, Yang L, Wang J. Shell feature: a new radiomics descriptor for predicting distant failure after radiotherapy in non-small cell lung cancer and cervix cancer. arXiv:1709.09600. 

Zhou Z, Zhou ZJ, Hao H, Li S, Chen X, Zhang Y, Folkert M, Wang J. Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion. arXiv:1710.01614. 

Zhou Z, Folkert M, Iyengar P, Westover K, Zhang Y, Choy H, Timmerman R, Jiang S, Wang J. Multi-objective radiomics model for predicting distant failure in lung SBRT. Phys Med Biol. 2017 May 8;62(11):4460.


Liu Y, Stojadinovic S, Hrycushko B, Wardak Z, Lu W, Yan Y, Jiang S, Timmerman R, Abdulrahman R, Nedzi L. Automatic metastatic brain tumor segmentation for stereotactic radiosurgery applicationsPhys Med Biol. 2016 Nov 15;61(24)8440.

Zhou Z, Folkert M, Cannon N, Iyengar P, Westover K, Zhang Y, Choy H, Timmerman R, Yan J, Xie XJ, Jiang S, Wang J. Predicting distant failure in early stage NSCLC treated with SBRT using clinical parametersRadiother Oncol. 2016 Jun;119(3);501-504.