C. Cardenas

发表

Automatic segmentation using deep learning to enable online dose optimization during adaptive radiotherapy of cervical cancer.

K. Brock, L. Court, S. Svensson, 2020, International journal of radiation oncology, biology, physics.

AUTO-DELINEATION OF OROPHARYNGEAL CLINICAL TARGET VOLUMES USING DEEP LEARNING TECHNIQUES

C. Cardenas, 2018 .

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

Clifton D Fuller, Michalis Aristophanous, Arvind Rao, 2018, International journal of radiation oncology, biology, physics.

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

G. Sharp, Jayashree Kalpathy-Cramer, C. Fuller, 2020, Medical physics.

18FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer

A. Garden, L. Court, A. Rao, 2020, medRxiv.

18FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer

A. Garden, L. Court, A. Rao, 2020, medRxiv.

The role of computational methods for automating and improving clinical target volume definition.

Robert Jeraj, Nadya Shusharina, Thomas Bortfeld, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Clinical implementation of automated treatment planning for whole‐brain radiotherapy

Callistus M. Nguyen, M. Martel, L. Court, 2021, Journal of applied clinical medical physics.

Technical Note: Dose prediction for head and neck radiotherapy using a three-dimensional dense dilated U-net architecture.

Skylar S. Gay, L. Court, C. Cardenas, 2021, Medical physics.

Delivering high-quality head-and-neck low-risk clinical target volumes through a fully-automated artificial intelligence-based approach

Lifei Zhang, L. Court, J. Yang, 2020 .

Automatic contouring system for cervical cancer using convolutional neural networks

K. Brock, Lifei Zhang, L. Court, 2020, Medical physics.

Cost‐effective immobilization for whole brain radiation therapy

Skylar S. Gay, Jinzhong Yang, D. Mackin, 2017, Journal of applied clinical medical physics.

Prospective in silico study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT

A. Garden, K. Brock, C. Fuller, 2017, Clinical and translational radiation oncology.

A snapshot of medical physics practice patterns

Skylar S. Gay, Jinzhong Yang, L. Court, 2018, Journal of applied clinical medical physics.

Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented 18F-fluorodeoxyglucose positron emission tomography

M. Aristophanous, J. Hoogduin, C. Terhaard, 2018, Physics and imaging in radiation oncology.

Automated Contouring of Contrast and Noncontrast Computed Tomography Liver Images With Fully Convolutional Networks

K. Brock, W. Erwin, B. Anderson, 2020, Advances in radiation oncology.

Automated WBRT Treatment Planning via Deep Learning Auto-Contouring and Customizable Landmark-Based Field Aperture Design

Callistus M. Nguyen, L. Court, C. Cardenas, 2022, 2205.12189.

Radiation-Induced Hypothyroidism After Radical Intensity Modulated Radiation Therapy for Oropharyngeal Carcinoma

C. Fuller, P. Yepes, V. Mehta, 2019, Advances in radiation oncology.

Comparison of tumor delineation using dual energy computed tomography versus magnetic resonance imaging in head and neck cancer re-irradiation cases

Jason M. Johnson, A. Garden, C. Fuller, 2020, Physics and imaging in radiation oncology.

Training deep-learning segmentation models from severely limited data.

Jinzhong Yang, L. Court, C. Cardenas, 2021, Medical physics.

Automatic contouring QA method using a deep learning–based autocontouring system

K. Brock, L. Court, S. Kry, 2022, Journal of applied clinical medical physics.

Design and validation of an automated radiation therapy treatment planning approach for locally advanced lung cancer

R. Popple, C. Cardenas, M. Soike, 2022, medRxiv.

A roadmap for implementation of kV‐CBCT online adaptive radiation therapy and initial first year experiences

R. Popple, M. Dobelbower, J. Fiveash, 2022, medRxiv.

Three-dimensional imaging assessment of anatomic invasion and volumetric considerations for chemo/radiotherapy-based laryngeal preservation in T3 larynx cancer.

Jason M. Johnson, A. Garden, C. Fuller, 2018, Oral oncology.

Automated Radiation Treatment Planning for Cervical Cancer.

L. Court, C. Cardenas, D. Rhee, 2020, Seminars in radiation oncology.

Patterns of Failure After Intensity Modulated Radiation Therapy in Head and Neck Squamous Cell Carcinoma of Unknown Primary: Implication of Elective Nodal and Mucosal Dose Coverage

A. Garden, C. Fuller, E. Sturgis, 2020, Advances in radiation oncology.

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

Skylar S. Gay, Callistus M. Nguyen, E. Holliday, 2022, Scientific Reports.

Evaluation of a multiview architecture for automatic vertebral labeling of palliative radiotherapy simulation CT images

Rebecca M. Howell, Laurence E. Court, Christine B. Peterson, 2020, Medical physics.

Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy.

Andrew Wentzel, Guadalupe Canahuate, Clifton D. Fuller, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients

G. Elisabeta Marai, Mona Kamal, Rachel B. Ger, 2018, Scientific Reports.

Circulating tumour cell and cell-free DNA kinetics during radiotherapy in patients with intact head and neck squamous cell carcinoma

Jason M. Johnson, A. Garden, A. Lucci, 2020, medRxiv.

Saturday 19 October 2019

A. Garden, H. Bahig, D. Rosenthal, 2019, Journal of Medical Imaging and Radiation Oncology.

Generating High-Quality Lymph Node Clinical Target Volumes for Head and Neck Cancer Radiation Therapy Using a Fully Automated Deep Learning-Based Approach

Skylar S. Gay, A. Garden, Jinzhong Yang, 2020, International journal of radiation oncology, biology, physics.

Radiotherapy dose-volume parameters predict videofluoroscopy-detected dysphagia per DIGEST after IMRT for oropharyngeal cancer: Results of a prospective registry.

Mona Kamal, Clifton D Fuller, Jan S Lewin, 2018, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Prospective Qualitative and Quantitative Analysis of Real-Time Peer Review Quality Assurance Rounds Incorporating Direct Physical Examination for Head and Neck Cancer Radiation Therapy.

Steven J Frank, Clifton D Fuller, Michalis Aristophanous, 2017, International journal of radiation oncology, biology, physics.

Advances in Auto-Segmentation.

Carlos E Cardenas, Laurence E Court, Jinzhong Yang, 2019, Seminars in radiation oncology.

Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans.

Skylar S. Gay, A. Garden, C. Fuller, 2023, Practical Radiation Oncology.

Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiotherapy Plans

Department of Radiation Oncology, Skylar S. Gay, Department of Statistics, 2022, 2209.14277.

Dose-volume correlates of the prevalence of patient-reported trismus in long-term survivorship after oropharyngeal IMRT: a cross-sectional dosimetric analysis.

C. Cardenas, A. Mohamed, C. Fuller, 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Fatigue following radiation therapy in nasopharyngeal cancer survivors: A dosimetric analysis incorporating patient report and observer rating.

Aubrey L. White, Jeremy M. Aymard, A. Garden, 2018, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Development of Temporal Dose-Weighted Positron Emission Tomography Metabolic Imaging Biomarkers (PET MIBs) of Radiation-Related Parotid Glands Injury in Oropharyngeal Cancer Patients

A. Garden, C. Fuller, A. Rao, 2018, International Journal of Radiation Oncology, Biology, Physics.

Patterns-of-failure guided biological target volume definition for head and neck cancer patients: FDG-PET and dosimetric analysis of dose escalation candidate subregions.

A. Garden, C. Fuller, M. Aristophanous, 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Comprehensive Quantitative Evaluation of Inter-observer Delineation Performance of MR-guided Delineation of Oropharyngeal Gross Tumor Volumes and High-risk Clinical Target Volumes: An R-IDEAL Stage 0 Prospective Study

A. Garden, C. Fuller, I. Poon, 2022, medRxiv.

Auto-contouring for Image-Guidance and Treatment Planning

Jinzhong Yang, L. Court, C. Cardenas, 2022, Machine and Deep Learning in Oncology, Medical Physics and Radiology.

Investigation of Autosegmentation Techniques on T2-Weighted MRI for Off-line Dose Reconstruction in MR-Linac Adapt to Position Workflow for Head and Neck Cancers

K. Brock, R. He, J. Christodouleas, 2021, medRxiv.

The Emergence of Artificial Intelligence within Radiation Oncology Treatment Planning.

L. Court, B. Beadle, C. Cardenas, 2020, Oncology.

Automatic detection of contouring errors using convolutional neural networks

Jinzhong Yang, Lifei Zhang, Beth M Beadle, 2019, Medical physics.

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

Jinzhong Yang, Mona Kamal, Clifton D Fuller, 2018, Physics in medicine and biology.

SU-C-BRA-05: Delineating High-Dose Clinical Target Volumes for Head and Neck Tumors Using Machine Learning Algorithms.

M. Aristophanous, L. Court, A. Rao, 2016, Medical physics.

Knowledge‐based planning for the radiation therapy treatment plan quality assurance for patients with head and neck cancer

A. Garden, L. Court, K. Hoffman, 2022, Journal of applied clinical medical physics.

Clinical Acceptability of Automated Radiation Treatment Planning for Head and Neck Cancer Using the Radiation Planning Assistant.

L. Court, B. Beadle, C. Cardenas, 2021, Practical radiation oncology.

Barriers and Facilitators of Implementing Automated Radiotherapy Planning: A Multisite Survey of Low- and Middle-Income Country Radiation Oncology Providers

L. Court, B. Beadle, C. Cardenas, 2022, JCO global oncology.

Out‐of‐field doses and neutron dose equivalents for electron beams from modern Varian and Elekta linear accelerators

S. Kry, R. Kudchadker, R. Howell, 2016, Journal of applied clinical medical physics.

Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges

G. Elisabeta Marai, John Freymann, Carlo Sansone, 2018, Front. Oncol..

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

Jinzhong Yang, L. Court, C. Cardenas, 2021, Journal of applied clinical medical physics.

Comprehensive Quantitative Evaluation of Variability in MR-guided Delineation of Oropharyngeal Gross Tumor Volumes and High-risk Clinical Target Volumes: An R-IDEAL Stage 0 Prospective Study.

A. Garden, C. Fuller, I. Poon, 2022, International journal of radiation oncology, biology, physics.

Out-of-field doses and neutron dose equivalents for electron beams from modern Varian and Elekta linear accelerators.

S. Kry, R. Kudchadker, R. Howell, 2016, Journal of applied clinical medical physics.

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

Laurence E. Court, Christine B. Peterson, Beth M. Beadle, 2018, Journal of global oncology.

Leveraging intelligent optimization for automated, cardiac-sparing accelerated partial breast treatment planning

R. Popple, C. Cardenas, M. Soike, 2022, Frontiers in Oncology.

Changes in Apparent Diffusion Coefficient (ADC) in Serial Weekly MRI during Radiotherapy in Patients with Head and Neck Cancer: Results from the PREDICT-HN Study

Jason M. Johnson, A. Garden, H. Bahig, 2020, Current oncology.

Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics.

Jinzhong Yang, Lifei Zhang, Carlos E Cardenas, 2018, Journal of visualized experiments : JoVE.

Anatomical Brain Barriers to Cancer Spread: Segmentation from CT and MR Images

T. Bortfeld, Jinzhong Yang, C. Cardenas, 2020 .

Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans.

Skylar S. Gay, A. Garden, C. Fuller, 2022, Practical radiation oncology.

Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer

L. Court, H. Bahig, N. Hardcastle, 2021, Scientific Reports.

Dosimetric impact and detectability of multi‐leaf collimator positioning errors on Varian Halcyon

Rachel B. Ger, Lei Dong, Peter A. Balter, 2019, Journal of applied clinical medical physics.

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

Jinzhong Yang, L. Court, Jing Li, 2022, Advances in radiation oncology.

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Jinzhong Yang, Peter Balter, Lifei Zhang, 2018, Journal of visualized experiments : JoVE.

Predicting treatment Response based on Dual assessment of magnetic resonance Imaging kinetics and Circulating Tumor cells in patients with Head and Neck cancer (PREDICT-HN): matching ‘liquid biopsy’ and quantitative tumor modeling

Jason M. Johnson, A. Garden, C. Fuller, 2018, BMC Cancer.

A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician specialty matter?

G. E. Marai, Jayashree Kalpathy-Cramer, C. Fuller, 2018, Clinical and translational radiation oncology.

Jason M. Johnson, A. Garden, A. Lucci, 2018, BMC Cancer.

Volumetric assessment of apparent diffusion coefficient predicts outcome following chemoradiation for cervical cancer.

C. Fuller, P. Bhosale, P. Allen, 2019, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Benchmarking Automated Machine Learning-Enhanced Planning With Ethos Against Manual and Knowledge-Based Planning for Locally Advanced Lung Cancer

R. Popple, C. Cardenas, C. Schneider, 2023, Advances in radiation oncology.

Changes in Apparent Diffusion Coefficient (ADC) in Serial Weekly MRI during Radiotherapy in Patients with Head and Neck Cancer: Results from the PREDICT-HN Study

Jason M. Johnson, A. Garden, H. Bahig, 2022, Current oncology.

Quantitative Evaluation of apparent diffusion coefficient in a large multi-unit institution using the QIBA diffusion phantom.

C. Fuller, K. Hwang, C. Cardenas, 2020, medRxiv.

Automatic Verification of Beam Apertures for Cervical Cancer Radiation Therapy

L. Court, P. Balter, R. Howell, 2020, Practical radiation oncology.

A deep-learning-based dose verification tool utilizing fluence maps for a cobalt-60 compensator-based intensity-modulated radiation therapy system

L. Court, C. Cardenas, T. Netherton, 2023, Physics and imaging in radiation oncology.

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

L. Court, S. Kry, B. Beadle, 2022, Medical physics.