Jinzhong Yang

Dose constraints to prevent radiation-induced brachial plexopathy in patients treated for lung cancer.

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

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

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

Motion of the esophagus due to cardiac motion.

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

Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy.

Advantages of simulating thoracic cancer patients in an upright position.

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

Upright cone beam CT imaging using the onboard imager.

Auto-segmentation of the brachial plexus assessed with TaCTICS - a software platform for rapid multiple-metric quantitative evaluation of contours.

Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms.

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

Prospective observer and software-based assessment of magnetic resonance imaging quality in head and neck cancer: Should standard positioning and immobilization be required for radiation therapy applications?

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.

A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy.

3D-Printed Small-Animal Immobilizer for Use in Preclinical Radiotherapy.

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

Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?

Objectively Quantifying Radiation Esophagitis With Novel Computed Tomography-Based Metrics.

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

Learning anatomy changes from patient populations to create artificial CT images for voxel-level validation of deformable image registration.

Impact of heart and lung dose on early survival in patients with non-small cell lung cancer treated with chemoradiation.

Spatial Precision in Magnetic Resonance Imaging-Guided Radiation Therapy: The Role of Geometric Distortion.

(18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy.

Combining Radiation Therapy with Immune Checkpoint Blockade for Central Nervous System Malignancies.

Cardiac atlas development and validation for automatic segmentation of cardiac substructures.

Reproducibility of patient setup in the seated treatment position: A novel treatment chair design.

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

The Rise of Radiomics and Implications for Oncologic Management.

The influence of non-rigid anatomy and patient positioning on endoscopy-CT image registration in the head and neck.

The feasibility of endoscopy-CT image registration in the head and neck without prospective endoscope tracking.

Cost-effective immobilization for whole brain radiation therapy.

Accuracy of deformable image registration on magnetic resonance images in digital and physical phantoms.

A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials.

Submillimeter alignment of more than three contiguous vertebrae in spinal SRS/SBRT with 6-degree couch.

Dosimetric comparison to the heart and cardiac substructure in a large cohort of esophageal cancer patients treated with proton beam therapy or Intensity-modulated radiation therapy.

Harmonizing the pixel size in retrospective computed tomography radiomics studies.

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

Differences in Normal Tissue Response in the Esophagus Between Proton and Photon Radiation Therapy for Non-Small Cell Lung Cancer Using In Vivo Imaging Biomarkers.

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.

Prospective evaluation of target and spinal cord motion and dosimetric changes with respiration in spinal stereotactic body radiation therapy utilizing 4-D CT.

Effect of tube current on computed tomography radiomic features.

A methodology to investigate the impact of image distortions on the radiation dose when using magnetic resonance images for planning.

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

Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function.

Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging.

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.

Prospective Comparison of Toxicity and Cosmetic Outcome After Accelerated Partial Breast Irradiation With Conformal External Beam Radiotherapy or Single-Entry Multilumen Intracavitary Brachytherapy.

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017.

A snapshot of medical physics practice patterns.

Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer.

Automatic segmentation of cardiac substructures from noncontrast CT images: accurate enough for dosimetric analysis?

Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks.

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

Characterization of a new physical phantom for testing rigid and deformable image registration.

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.

Automatic detection of graticule isocenter and scale from kV and MV images.

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

Dosimetric impact of esophagus motion in single fraction spine stereotactic body radiotherapy.

Automated treatment planning of postmastectomy radiotherapy.

Differences between planned and delivered dose for head and neck cancer, and their consequences for normal tissue complication probability and treatment adaptation.

Automatic detection of contouring errors using convolutional neural networks.

Quantifying the accuracy of deformable image registration for cone-beam computed tomography with a physical phantom.

Evaluation of the accuracy of deformable image registration on MRI with a physical phantom.

Automatic registration of 2D MR cine images for swallowing motion estimation.

CT images with expert manual contours of thoracic cancer for benchmarking auto-segmentation accuracy.

Anatomic change over the course of treatment for non-small cell lung cancer patients and its impact on intensity-modulated radiation therapy and passive-scattering proton therapy deliveries.

Head and neck cancer patient images for determining auto-segmentation accuracy in T2-weighted magnetic resonance imaging through expert manual segmentations.

Development and application of an elastic net logistic regression model to investigate the impact of cardiac substructure dose on radiation-induced pericardial effusion in patients with NSCLC.

Initial Feasibility and Clinical Implementation of Daily MR-Guided Adaptive Head and Neck Cancer Radiation Therapy on a 1.5T MR-Linac System: Prospective R-IDEAL 2a/2b Systematic Clinical Evaluation of Technical Innovation.

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

Training deep-learning segmentation models from severely limited data.

Machine QA for the Elekta Unity system: A Report from the Elekta MR-linac consortium.

Radiomics feature robustness as measured using an MRI phantom.

Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms.

Online adaptive planning for prostate stereotactic body radiotherapy using a 1.5 Tesla magnetic resonance imaging-guided linear accelerator.

Impact of Intra-Fractional Motion on Dose Distributions in Lung IMRT.

Dose accumulation of daily adaptive plans to decide optimal plan adaptation strategy for head-and-neck patients treated with MR-Linac.

Brain stereotactic radiosurgery using MR-guided online adaptive planning for daily setup variation: An end-to-end test.

Impact of geometric distortion on dose deviation for photon and proton treatment plans.

Clinical Implementation and Initial Experience With a 1.5 Tesla MR-Linac for MR-Guided Radiation Therapy for Gynecologic Cancer: An R-IDEAL Stage 1 and 2a First in Humans Feasibility Study of New Technology Implementation.

Dosimetric analysis of MR-LINAC treatment plans for salvage spine SBRT re-irradiation.

Automated Brain Metastases Segmentation With a Deep Dive Into False-positive Detection.

Multi-organ segmentation of abdominal structures from non-contrast and contrast enhanced CT images.

Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy.

Dose accumulation for MR-guided adaptive radiotherapy: From practical considerations to state-of-the-art clinical implementation.

Automated Contouring and Planning in Radiation Therapy: What Is 'Clinically Acceptable'?

Longitudinal diffusion and volumetric kinetics of head and neck cancer magnetic resonance on a 1.5T MR-Linear accelerator hybrid system: A prospective R-IDEAL Stage 2a imaging biomarker characterization/ pre-qualification study.

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

A transformer-based hierarchical registration framework for multimodality deformable image registration.

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

A real-time contouring feedback tool for consensus-based contour training.