Faculty

Institution

Unit

Venue

Peng Dong

Stanford University

Affiliations

Radiation Oncology

Medical Physics

School of Medicine

Radiation Oncology

NonePeng Dong is currently serving as a Medical Physics faculty at Stanford University.

Honors

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Experiences

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Education

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Peng Dong

Stanford University

You can click a keyword to filter the displayed items

radiation oncology radiation therapy oncology radiation radiation biology deep learning medicine physics applied physics lung cancer machine learning medical imaging cancer imaging treatment planning dosimetry artificial intelligence biomedical imaging medical physics brachytherapy radiation therapy planning medical technology trajectory optimization conventional c-arm linacs deep neural network fluence map optimization design optimization neurosurgery engineering optimization thoracic oncology nuclear medicine neuroradiology brain tumor research particle beam liver cancer delivery systems unconstrained optimization constrained optimization sensor optimization computed tomography medical image analysis cancer treatment brain imaging image-guided interventions proton therapy mri-guided radiation therapy clinical radiation oncology quality improvement non-coplanar liver sbrt novel delivery technique population-based prior data different spatial resolutions precision radiation therapy dosimetric characterization linear accelerator-based treatments integral dose investigation inverse treatment planning achievable dose transformer neural networks station parameter non-coplanar trajectory design

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Overview of Artificial Intelligence in Medical Physics and Radiation Oncology. Journal of the National Cancer Center (2023)

Jiali LiuHaonan XiaoJiawei FanWeigang HuYong YangPeng DongLei XingJing Cai

radiation oncologyartificial intelligence

Sub‐Second Photon Dose Prediction via Transformer Neural Networks. Medical Physics (2023)

Oscar Pastor‐SerranoPeng DongCharles HuangLei XingZoltán Perkó

radiation oncologydeep learningtransformer neural networksapplied physicshealth sciences

Implicit Neural Representation for Radiation Therapy Dose Distribution. Physics in Medicine and Biology (2022)

Varun VasudevanLiyue ShenCharles HuangCynthia ChuangMd Tauhidul IslamHongyi RenYong YangPeng DongLei Xing

physicsmedicineimplicit neural representationradiation oncologyradiation therapyradiation

Transformer Network Assisted Vmat Optimization. International Journal of Radiation Oncology*Biology*Physics (2022)

P. DongL. Xing

transformer networkradiation oncologyradiation biologyoncology

Deep Learning Based Identification and Segmentation of Lung Tumors on Computed Tomography Images. International Journal of Radiation Oncology*Biology*Physics (2021)

M. KashyapN. PanjwaniM.A.S.A. HasanC. HuangK. BushP. DongS.S. ZakyA.L. ChinL. VitzthumB.W. LooM. DiehnL. XingM.F. Gensheimer

radiologyradiation oncologycancer researchradiation biologydeep learningmedical imagingcancer imagingoncologycomputed tomographycomputed tomography imagesradiation therapylung cancermedical image analysislung tumors

Data-Driven Dose Calculation Algorithm Based on Deep U-Net. Physics in Medicine and Biology (2020)

Jiawei FanLei XingPeng DongJiazhou WangWeigang HuYong Yang

deep learningradiation oncologymedicinedata science

Deep Dosenet: A Deep Neural Network Based Dose Calculation Algorithm. International Journal of Radiation Oncology*Biology*Physics (2020)

P. DongL. Xing

deep neural networkradiation oncologyradiation biologydeep learningoncologyradiation therapyradiationmachine learningdose calculation algorithm

Deep Dosenet: A Deep Neural Network for Accurate Dosimetric Transformation Between Different Spatial Resolutions and/or Different Dose Calculation Algorithms for Precision Radiation Therapy. Physics in Medicine and Biology (2019)

Peng DongLei Xing

physicsmedicinedeep neural networkradiation oncologydeep learningdosimetryradiation therapydifferent spatial resolutionsprecision radiation therapy

Monte Carlo Tree Search -Based Non-Coplanar Trajectory Design for Station Parameter Optimized Radiation Therapy (Sport). Physics in Medicine and Biology (2018)

Peng DongHongcheng LiuLei Xing

radiation oncologystation parameterradiation therapyradiationnon-coplanar trajectory design

Robust Prediction of Isodose Distribution With a Fully Convolutional Networks (Fcn)-Based Deep Learning Model. International Journal of Radiation Oncology*Biology*Physics (2018)

P. DongL. Xing

isodose distributionradiation oncologycancer researchradiation biologydeep learningoncologyradiation therapyrobust predictionradiationmachine learning

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Peng Dong

Stanford University

Affiliations

Radiation Oncology

Medical Physics

School of Medicine

Radiation Oncology

NonePeng Dong is currently serving as a Medical Physics faculty at Stanford University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Peng Dong

Stanford University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Overview of Artificial Intelligence in Medical Physics and Radiation Oncology. Journal of the National Cancer Center (2023)

Jiali LiuHaonan XiaoJiawei FanWeigang HuYong YangPeng DongLei XingJing Cai

radiation oncologyartificial intelligence

Sub‐Second Photon Dose Prediction via Transformer Neural Networks. Medical Physics (2023)

Oscar Pastor‐SerranoPeng DongCharles HuangLei XingZoltán Perkó

radiation oncologydeep learningtransformer neural networksapplied physicshealth sciences

Implicit Neural Representation for Radiation Therapy Dose Distribution. Physics in Medicine and Biology (2022)

Varun VasudevanLiyue ShenCharles HuangCynthia ChuangMd Tauhidul IslamHongyi RenYong YangPeng DongLei Xing

physicsmedicineimplicit neural representationradiation oncologyradiation therapyradiation

Transformer Network Assisted Vmat Optimization. International Journal of Radiation Oncology*Biology*Physics (2022)

P. DongL. Xing

transformer networkradiation oncologyradiation biologyoncology

Deep Learning Based Identification and Segmentation of Lung Tumors on Computed Tomography Images. International Journal of Radiation Oncology*Biology*Physics (2021)

M. KashyapN. PanjwaniM.A.S.A. HasanC. HuangK. BushP. DongS.S. ZakyA.L. ChinL. VitzthumB.W. LooM. DiehnL. XingM.F. Gensheimer

Data-Driven Dose Calculation Algorithm Based on Deep U-Net. Physics in Medicine and Biology (2020)

Jiawei FanLei XingPeng DongJiazhou WangWeigang HuYong Yang

deep learningradiation oncologymedicinedata science

Deep Dosenet: A Deep Neural Network Based Dose Calculation Algorithm. International Journal of Radiation Oncology*Biology*Physics (2020)

P. DongL. Xing

deep neural networkradiation oncologyradiation biologydeep learningoncologyradiation therapyradiationmachine learningdose calculation algorithm

Peng DongLei Xing

physicsmedicinedeep neural networkradiation oncologydeep learningdosimetryradiation therapydifferent spatial resolutionsprecision radiation therapy

Monte Carlo Tree Search -Based Non-Coplanar Trajectory Design for Station Parameter Optimized Radiation Therapy (Sport). Physics in Medicine and Biology (2018)

Peng DongHongcheng LiuLei Xing

radiation oncologystation parameterradiation therapyradiationnon-coplanar trajectory design

Robust Prediction of Isodose Distribution With a Fully Convolutional Networks (Fcn)-Based Deep Learning Model. International Journal of Radiation Oncology*Biology*Physics (2018)

P. DongL. Xing

isodose distributionradiation oncologycancer researchradiation biologydeep learningoncologyradiation therapyrobust predictionradiationmachine learning

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