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Quan Chen

Professor

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

About

Quan Chen is an Assistant Professor in the Department of Radiation Medicine at the University of Kentucky in Lexington, Kentucky, USA. His research primarily focuses on innovative radiation therapy techniques, particularly in the context of spatially fractionated GRID therapy for treating deep-seated bulky tumors. Dr. Chen's recent work includes the development of a novel, yet simple MLC-based 3D-crossfire technique aimed at improving treatment outcomes.

Articles (18)

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2023

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2020

Collaborators (8)

晓健陈

Johns Hopkins University

UNITED STATES

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Kai Ding

Associate Professor and Senior Medical Physicist

Johns Hopkins University

UNITED STATES

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Yi Rong

Associate Professor

Mayo Clinic Arizona

UNITED STATES

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Xun Jia

University of Texas Southwestern Medical Center

UNITED STATES

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Nataliya Kovalchuk

UNITED STATES

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Diego Augusto Santos Toesca

Assistant Professor

Mayo Clinic Arizona

UNITED STATES

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xiangrong Qi

Professor

UNITED STATES

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Jingwei Duan

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Quan Chen

Research Interests

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About

Articles (18)

Deformable Point Cloud Registration-Based Bidirectional Local Distance (DPCR-BLD): A Methodology for Systematic Evaluation and Visualization of Local Disagreements in Clinical Autocontouring

Quantitative Evaluation of Artificial Intelligence-Based Organ Segmentation Across Multiple Anatomic Sites Using 8 Commercial Software Platforms

Development of a hybrid automated chart checking, data collection, and analysis system

Simulation‐free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study

Improving the Precision of Deep-Learning-Based Head and Neck Target Auto-Segmentation by Leveraging Radiology Reports Using a Large Language Model

A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology

Deep Learning-Based Synthetic CT for Personalized Treatment Modality Selection Between Proton and Photon Therapy in Thoracic Cancer

NRG Oncology Assessment of Artificial Intelligence for Automatic Treatment Planning in Radiation Therapy Clinical Trials: Present and Future

Subsequent kilovoltage imaging-based fiducial triangulation for intra-fractional prostate motion monitoring and correction

Deep Learning for CT Synthesis in Radiotherapy

Development of an automated CBCT-based simulation-free platform for expedited palliative radiotherapy on a conventional linear accelerator

Establishing prospective performance monitoring for real-world implementation of deep learning-based auto-segmentation in prostate cancer radiotherapy

Evaluating the impact of different deface algorithms on deep learning segmentation software performance

In Regard to Royce et al

Multiscale Segmentation-Guided Diffusion Model for CBCT-to-CT Synthesis

Achieving accurate prostate auto-segmentation on CT in the absence of MR imaging

Contouring quality assurance methodology based on multiple geometric features against deep learning auto‐segmentation

A novel, yet simple MLC-based 3D-crossfire technique for spatially fractionated GRID therapy treatment of deep-seated bulky tumors

Collaborators (8)

晓健陈

Kai Ding

Yi Rong

Xun Jia

Nataliya Kovalchuk

Diego Augusto Santos Toesca

xiangrong Qi

Jingwei Duan

Make your next move.

Quan Chen

Research Interests

Make your next move.

Explore related searches

About

Articles (18)

Deformable Point Cloud Registration-Based Bidirectional Local Distance (DPCR-BLD): A Methodology for Systematic Evaluation and Visualization of Local Disagreements in Clinical Autocontouring

Quantitative Evaluation of Artificial Intelligence-Based Organ Segmentation Across Multiple Anatomic Sites Using 8 Commercial Software Platforms

Development of a hybrid automated chart checking, data collection, and analysis system

Simulation‐free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study

Improving the Precision of Deep-Learning-Based Head and Neck Target Auto-Segmentation by Leveraging Radiology Reports Using a Large Language Model

A Language Vision Model Approach for Automated Tumor Contouring in Radiation Oncology

Deep Learning-Based Synthetic CT for Personalized Treatment Modality Selection Between Proton and Photon Therapy in Thoracic Cancer

NRG Oncology Assessment of Artificial Intelligence for Automatic Treatment Planning in Radiation Therapy Clinical Trials: Present and Future

Subsequent kilovoltage imaging-based fiducial triangulation for intra-fractional prostate motion monitoring and correction

Deep Learning for CT Synthesis in Radiotherapy

Development of an automated CBCT-based simulation-free platform for expedited palliative radiotherapy on a conventional linear accelerator

Establishing prospective performance monitoring for real-world implementation of deep learning-based auto-segmentation in prostate cancer radiotherapy

Evaluating the impact of different deface algorithms on deep learning segmentation software performance

In Regard to Royce et al

Multiscale Segmentation-Guided Diffusion Model for CBCT-to-CT Synthesis

Achieving accurate prostate auto-segmentation on CT in the absence of MR imaging

Contouring quality assurance methodology based on multiple geometric features against deep learning auto‐segmentation

A novel, yet simple MLC-based 3D-crossfire technique for spatially fractionated GRID therapy treatment of deep-seated bulky tumors

Collaborators (8)

晓健 陈

Kai Ding

Yi Rong

Xun Jia

Nataliya Kovalchuk

Diego Augusto Santos Toesca

xiangrong Qi

Jingwei Duan

Make your next move.

晓健陈