Zhen Tian

Orcid: 0000-0002-4098-5882

Affiliations:
  • Emory University, Department of Radiation Oncology, Winship Cancer Institute, Atlanta, USA
  • University of Chicago, Department of Radiation and Cellular Oncology, IL, USA


According to our database1, Zhen Tian authored at least 20 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
An Efficient 3D Latent Diffusion Model for T1-contrast Enhanced MRI Generation.
CoRR, September, 2025

CBCT Reconstruction Using Single X-Ray Projection With Cycle-Domain Geometry-Integrated Denoising Diffusion Probabilistic Models.
IEEE Trans. Medical Imaging, July, 2025

Limited-Angle CBCT Reconstruction via Geometry-Integrated Cycle-domain Denoising Diffusion Probabilistic Models.
CoRR, June, 2025

Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy.
CoRR, June, 2025

A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning.
CoRR, June, 2025

Real-time volumetric CBCT reconstruction using surface and X-ray imaging for image-guided radiotherapy.
Medical Image Anal., 2025

2022
Landmark Tracking in Liver US images Using Cascade Convolutional Neural Networks with Long Short-Term Memory.
CoRR, 2022

Deep-learning-based markerless tumor localization using 2D KV/MV image.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Automated CT segmentation for rapid assessment of anatomical variations in head-and-neck radiation therapy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Fast 3D imaging via deep learning for deep inspiration breath-hold lung radiotherapy.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

CVT-Vnet: a convolutional-transformer model for head and neck multi-organ segmentation.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Deep learning-based longitudinal CT registration for anatomy variation assessment during radiotherapy.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Deep learning-based 3D image generation using a single 2D projection image.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Ultrasound multi-needle detection using deep attention U-Net with TV regularizations.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based volumetric image generation from projection imaging for prostate radiotherapy.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

4D cone-beam CT deformable registration using unsupervised spatial transformation network.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

Mask R-CNN-based tumor localization and segmentation in 4D Lung CT.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning.
IEEE Trans. Medical Imaging, 2020

Automatic detection of brain metastases using 3D mask R-CNN for stereotactic radiosurgery.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020


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