Zhen Tian
Orcid: 0000-0002-4098-5882Affiliations:
- 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:
Collaborative distances:
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Bibliography
2025
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
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
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
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