Lifei Zhang

Comparison of 2D radiographic images and 3D cone beam computed tomography for positioning head-and-neck radiotherapy patients.

Performance evaluation of automatic anatomy segmentation algorithm on repeat or four-dimensional computed tomography images using deformable image registration method.

Effectiveness of using fewer implanted fiducial markers for prostate target alignment.

A CT-based software tool for evaluating compensator quality in passively scattered proton therapy.

A beam-specific planning target volume (PTV) design for proton therapy to account for setup and range uncertainties.

Toward a better understanding of the gamma index: Investigation of parameters with a surface-based distance method.

A statistical modeling approach for evaluating auto-segmentation methods for image-guided radiotherapy.

A comparison of tumor motion characteristics between early stage and locally advanced stage lung cancers.

Variable planning margin approach to account for locoregional variations in setup uncertainties.

Anisotropic margin expansions in 6 anatomic directions for oropharyngeal image guided radiation therapy.

Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiotherapy.

Statistical modeling approach to quantitative analysis of interobserver variability in breast contouring.

Current clinical coverage of Radiation Therapy Oncology Group-defined target volumes for postmastectomy radiation therapy.

Anatomic variation and dosimetric consequences of neoadjuvant hormone therapy before radiation therapy for prostate cancer.

Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiation therapy.

Digital reconstruction of high-quality daily 4D cone-beam CT images using prior knowledge of anatomy and respiratory motion.

Improved human observer performance in digital reconstructed radiograph verification in head and neck cancer radiotherapy.

IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.

Preliminary investigation into sources of uncertainty in quantitative imaging features.

Measuring Computed Tomography Scanner Variability of Radiomics Features.

Stage III Non-Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors.

Erratum: "Modeling respiratory motion for reducing motion artifacts in 4D CT images" [Med. Phys. 40, 041716 (13pp.) (2013)].

Uncertainty analysis of quantitative imaging features extracted from contrast-enhanced CT in lung tumors.

The Incremental Value of Subjective and Quantitative Assessment of 18F-FDG PET for the Prediction of Pathologic Complete Response to Preoperative Chemoradiotherapy in Esophageal Cancer.

Potential Use of (18)F-fluorodeoxyglucose Positron Emission Tomography-Based Quantitative Imaging Features for Guiding Dose Escalation in Stage III Non-Small Cell Lung Cancer.

The value of 18F-FDG PET before and after induction chemotherapy for the early prediction of a poor pathologic response to subsequent preoperative chemoradiotherapy in oesophageal adenocarcinoma.

Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer.

Harmonizing the pixel size in retrospective computed tomography radiomics studies.

Atlas ranking and selection for automatic segmentation of the esophagus from CT scans.

A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images.

Technical Note: Solving the "Chinese postman problem" for effective contour deformation.

Effect of tube current on computed tomography radiomic features.

Correction to: A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images.

Retrospective Validation and Clinical Implementation of Automated Contouring of Organs at Risk in the Head and Neck: A Step Toward Automated Radiation Treatment Planning for Low- and Middle-Income Countries.

Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography.

Potential for Improvements in Robustness and Optimality of Intensity-Modulated Proton Therapy for Lung Cancer with 4-Dimensional Robust Optimization.

Fully Automatic Treatment Planning for External-Beam Radiation Therapy of Locally Advanced Cervical Cancer: A Tool for Low-Resource Clinics.

Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive.

Technical Note: Density correction to improve CT number mapping in thoracic deformable image registration.

A risk assessment of automated treatment planning and recommendations for clinical deployment.

Automated treatment planning of postmastectomy radiotherapy.

Automatic detection of contouring errors using convolutional neural networks.

Automatic Verification of Beam Apertures for Cervical Cancer Radiation Therapy.

Automatic contouring system for cervical cancer using convolutional neural networks.

Tissue-specific deformable image registration using a spatial-contextual filter.

Development and dosimetric assessment of an automatic dental artifact classification tool to guide artifact management techniques in a fully automated treatment planning workflow.

Automatic contouring QA method using a deep learning-based autocontouring system.

Development and validation of a checklist for use with automatically generated radiotherapy plans.

Assessing the practicality of using a single knowledge-based planning model for multiple linac vendors.

Automation of radiation treatment planning for rectal cancer.

Clinical acceptability of fully automated external beam radiotherapy for cervical cancer with three different beam delivery techniques.

Customizable landmark-based field aperture design for automated whole-brain radiotherapy treatment planning.

Commissioning and dosimetric validation of a novel compensator-based Co-60 IMRT system for evaluating suitability to automated treatment planning.

Addressing the Global Expertise Gap in Radiation Oncology: The Radiation Planning Assistant.

Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.