Dr. Zhen Tian is an Associate 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 two R01 grants from NIH.
If you are interested at collaboration or joining Dr. Tian's lab, please contact her by emails: 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
Large-scale convolutional neural network for clinical target and multi-organ segmentation in gynecologic brachytherapy via multi-stage learning.
Large-scale convolutional neural network for clinical target and multi-organ segmentation in gynecologic brachytherapy via multi-stage learning. Med Phys. 2025 Aug; 52(8):e18067.
PMID: 40817425
Detection and segmentation of brain metastases on MRI using 3D-MedDCNet.
Detection and segmentation of brain metastases on MRI using 3D-MedDCNet. Med Phys. 2025 Jul; 52(7):e18001.
PMID: 40665544
Deep learning-based applicator selection between Syed and T&O in high-dose-rate brachytherapy for locally advanced cervical cancer: a retrospective study.
Deep learning-based applicator selection between Syed and T&O in high-dose-rate brachytherapy for locally advanced cervical cancer: a retrospective study. Phys Med Biol. 2025 Jun 06; 70(11).
PMID: 40444332
CBCT Reconstruction using Single X-ray Projection with Cycle-domain Geometry-integrated Denoising Diffusion Probabilistic Models.
CBCT Reconstruction using Single X-ray Projection with Cycle-domain Geometry-integrated Denoising Diffusion Probabilistic Models. IEEE Trans Med Imaging. 2025 Apr 01; PP.
PMID: 40168234
Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins.
Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins. Phys Med Biol. 2025 Jan 17; 70(2).
PMID: 39761649
A retrospective study on the investigation of potential dosimetric benefits of online adaptive proton therapy for head and neck cancer.
A retrospective study on the investigation of potential dosimetric benefits of online adaptive proton therapy for head and neck cancer. J Appl Clin Med Phys. 2024 May; 25(5):e14308.
PMID: 38368614
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
Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory.
Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory. Meas Sci Technol. 2023 May 01; 34(5):054002.
PMID: 36743834
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