Dr. Zhen Tian is an Assistant Professor and board-certified Medical Physicist in the department of Radiation & Cellular Oncology at the University of Chicago. Her research focuses on the use of artificial intelligence and parallel computing to advance radiotherapy. She has developed expertise in GPU-based iterative low dose image reconstruction, ultra-fast Monte Carlo dose calculation and microscopic Monte Carlo simulation, AI-based autoplanning for radiotherapy. She has been awarded a R37 grant and a R01 grant from NIH.
If you are interested at collaboration or joining Dr. Tian's lab, please contact her by emails: zhen.tian@uchicago.edu; ztian@bsd.uchicago.edu.
University of Texas Southwestern Medical Center
Dallas, Tx
Residency - Therapeutic Physics
2018
University of California San Diego
La Jolla, CA
Postdoc - Medical Physics
2013
Tsinghua University
Beijing, China
PhD - Biomedical Engineering
2011
University of California San Diego
La Jolla, CA
visiting student - Medical Physics
2011
Xi'an Jiaotong University
Xi'an, China
B.E. - Biomedical Engineering
2006
Deep learning-based fast volumetric imaging using kV and MV projection images for lung cancer radiotherapy: A feasibility study.
Deep learning-based fast volumetric imaging using kV and MV projection images for lung cancer radiotherapy: A feasibility study. Med Phys. 2023 Sep; 50(9):5518-5527.
PMID: 36939395
A prediction model for dosimetric-based lung adaptive radiotherapy.
A prediction model for dosimetric-based lung adaptive radiotherapy. Med Phys. 2022 Oct; 49(10):6319-6333.
PMID: 35649103
Deformable CT image registration via a dual feasible neural network.
Deformable CT image registration via a dual feasible neural network. Med Phys. 2022 Dec; 49(12):7545-7554.
PMID: 35869866
Cascaded mutual enhancing networks for brain tumor subregion segmentation in multiparametric MRI.
Cascaded mutual enhancing networks for brain tumor subregion segmentation in multiparametric MRI. Phys Med Biol. 2022 04 11; 67(8).
PMID: 35299156
Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
Lung tumor segmentation in 4D CT images using motion convolutional neural networks. Med Phys. 2021 Nov; 48(11):7141-7153.
PMID: 34469001
High through-plane resolution CT imaging with self-supervised deep learning.
High through-plane resolution CT imaging with self-supervised deep learning. Phys Med Biol. 2021 07 14; 66(14).
PMID: 34049297
Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study.
Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study. Phys Med Biol. 2020 12 18; 65(23):235003.
PMID: 33080578
Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy.
Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy. Phys Med Biol. 2020 10 09; 65(20):205003.
PMID: 32640435
Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy.
Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy. Phys Med Biol. 2020 06 26; 65(13):135002.
PMID: 32330922
A preliminary study on a multiresolution-level inverse planning approach for Gamma Knife radiosurgery.
A preliminary study on a multiresolution-level inverse planning approach for Gamma Knife radiosurgery. Med Phys. 2020 Apr; 47(4):1523-1532.
PMID: 32027029