Carlos Cardenas

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

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

Cost-effective immobilization for whole brain radiation therapy.

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

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

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

Clinical implementation of automated treatment planning for whole-brain radiotherapy.

Comprehensive Quantitative Evaluation of Variability in Magnetic Resonance-Guided Delineation of Oropharyngeal Gross Tumor Volumes and High-Risk Clinical Target Volumes: An R-IDEAL Stage 0 Prospective Study.

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

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

An Automated Treatment Planning Framework for Spinal Radiation Therapy and Vertebral-Level Second Check.

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.

OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines.

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.

Automated field-in-field whole brain radiotherapy planning.

Do we need patient-specific QA for adaptively generated plans? Retrospective evaluation of delivered online adaptive treatment plans on Varian Ethos.

Automating the treatment planning process for 3D-conformal pediatric craniospinal irradiation therapy.

Cobalt compensator-based IMRT device: A treatment planning study of head and neck cases.

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

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

Resection cavity auto-contouring for patients with pediatric medulloblastoma using only CT information.

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

Investigation of autosegmentation techniques on T2-weighted MRI for off-line dose reconstruction in MR-linac workflow for head and neck cancers.

Quantifying the Effect of 4-Dimensional Computed Tomography-Based Deformable Dose Accumulation on Representing Radiation Damage for Patients with Locally Advanced Non-Small Cell Lung Cancer Treated with Standard-Fractionated Intensity-Modulated Radiation Therapy.

Evaluation and correlation of patient movement during online adaptive radiotherapy with CBCT and a surface imaging system.

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

Automated evaluation for rapid implementation of knowledge-based radiotherapy planning models.

Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers.

Physicists should perform reference planning for CBCT guided online adaptive radiotherapy.