Liyong Lin

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Adjunct Associate Professor

Georgia Institute of Technology

United States

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About

Dr. Liyong Lin is an Adjunct Associate Professor at the Georgia Institute of Technology, USA. His research focuses on advanced methodologies in proton therapy, including image-guided treatments and optimization algorithms for dose delivery. Recent publications showcase his contributions to the fields of hypofractionated radiation therapy and the development of innovative imaging techniques in proton radiotherapy.

Recent Grants

Grant: Close

GPU AcurosPT Technology

Open Date: 2019-11-01

Close Date: 2020-11-01

Grant: Close

Validation of AcurosPT's dose calculation implementation in heterogeneous media

Open Date: 2017-08-01

Close Date: 2018-03-01

Grant: Close

Development of Dosimetry and Delivery Methods to Enable PBS Treatment of Thoracic Tumors

Open Date: 2015-07-01

Close Date: 2017-07-01

Grant: Close

Application of the pair/magnification method to derive an application-specific sourcemodel and a universal patient model for pencil beam scanning (PBS) proton therapy

Open Date: 2015-02-01

Close Date: 2017-07-01

Grant: Close

Proton Therapy Dose Characterization and Verification: Assessment and Mitigation of Tumor

Open Date: 2014-02-01

Close Date: 2015-09-01

Articles (16)

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2025

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2021

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2021

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2020

Collaborators (9)

Charles Simone

Professor and Chief Medical Officer

UNITED STATES

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Minglei Kang

Associate Professor, Director of Proton Physics

University of Wisconsin-Madison

UNITED STATES

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Vincenzo PATERA

Professor

Università degli Studi di Roma La Sapienza

ITALY

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Jun Zhou

Associate Professor

Emory University School of Medicine

UNITED STATES

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Ying Xiao

Professor, Clinician-Educator

University of Pennsylvania

UNITED STATES

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Sibo Tian

Winship Cancer Institute of Emory University

UNITED STATES

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Wei Liu

Professor

Mayo Clinic Arizona

UNITED STATES

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Jeffrey D. Bradley

UNITED STATES

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Antoni Rucinski

Visiting professor

Institute of Nuclear Physics

POLAND

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Liyong Lin

Research Interests

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About

Recent Grants

Articles (16)

NRG Oncology Liver Proton SBRT and Hypofractionated Radiation Therapy: Current Treatment Technical Assessment and Practice Patterns

Proton 3D dose measurement with a multi-layer strip ionization chamber (MLSIC) device

NRG Oncology and PTCOG Patterns of Practice Survey and Consensus Recommendations on Pencil-Beam Scanning Proton Stereotactic Body Radiation Therapy and Hypofractionated Radiation Therapy for Thoracic Malignancies.

Deep Learning-Based Fast Volumetric Image Generation for Image-Guided Proton Radiotherapy

A spot‐specific range uncertainty framework for robust optimization of proton therapy treatments

MPLA case: I didn't realize those were the expectations!

Overview and Recommendations for Prospective Multi-institutional Spatially Fractionated Radiation Therapy Clinical Trials.

A Novel Inverse Algorithm To Solve the Integrated Optimization of Dose, Dose Rate, and Linear Energy Transfer of Proton FLASH Therapy With Sparse Filters.

Measurement of the time structure of FLASH beams using prompt gamma rays and secondary neutrons as surrogates.

Feasibility study of hybrid inverse planning with transmission beams and single-energy spread-out Bragg peaks for proton FLASH radiotherapy.

Characterization of 250 MeV Protons from the Varian ProBeam PBS System for FLASH Radiation Therapy.

An Integrated Physical Optimization Framework for Proton Stereotactic Body Radiation Therapy FLASH Treatment Planning Allows Dose, Dose Rate, and Linear Energy Transfer Optimization Using Patient-Specific Ridge Filters.

Synthetic dual-energy CT for MRI-only based proton therapy treatment planning using label-GAN

A novel proton counting detector and method for the validation of tissue and implant material maps for Monte Carlo dose calculation

Commissioning of GPU–Accelerated Monte Carlo Code FRED for Clinical Applications in Proton Therapy

Predicted Secondary Malignancies following Proton versus Photon Radiation for Oropharyngeal Cancers.

Collaborators (9)

Charles Simone

Minglei Kang

Vincenzo PATERA

Jun Zhou

Ying Xiao

Sibo Tian

Wei Liu

Jeffrey D. Bradley

Antoni Rucinski

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