Faculty

Institution

Unit

Venue

Jun Deng

Professor of Therapeutic Radiology Professor of Therapeutic Radiology and Director of Physics Research

Yale University

Affiliations

SCHOOL OF MEDICINE

Biomedical Informatics & Data Science

Jun Deng is currently serving as a Biomedical Informatics & Data Science Professor of Therapeutic Radiology Professor of Therapeutic Radiology and Director of Physics Research at Yale University.

Honors

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Experiences

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Education

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Jun Deng

Yale University

Professor of Therapeutic Radiology Professor of Therapeutic Radiology and Director of Physics Research

You can click a keyword to filter the displayed items

radiation oncology oncology radiation radiation therapy medical imaging health sciences medicine dosimetry physics cancer imaging machine learning radiation biology cancer research computed tomography respiratory medicine treatment planning artificial intelligence lung cancer cancer risk image-guided radiotherapy prostate cancer cancer treatment medical physics cancer care colorectal cancer image guidance brachytherapy personal health data digital twins health technology scientific computing computational intelligence thoracic oncology cancer biology computational medicine health data radiation therapy planning monte carlo cancer screening radiation protection image-guided interventions medical image analysis artificial neural network imrt dose distributions pediatric cancer patients cancer radiotherapy digital medicine scientific data gynecologic oncology leukemia physical medicine connected health ai healthcare digital twinning therapeutic imaging clinical data prognosis smart health radiotherapy treatment planning pediatric image-guided radiotherapy practice patterns kilo-voltage cone beam medicinal research scientometrics particle beam ehealth pancreatic cancer predictive modeling deep reinforcement learning tumor targeting distributed collaboration scoping review pancreatic cancer prediction monte carlo verification photon beam characterization breast cancer risk

Notable Scholarly Works

Notable Federal Grants

Collaborators

The Evolution of Digital Twins From Reactive to Agentic Systems. Nature Computational Science (2026)

evolutionary intelligenceagent-based systemintelligent computingautonomous agent systemscomputer sciencedigital twinningintelligent systemsartificial intelligencesynthetic agentagent-based models

Digital Twins for the Era of Personalized Surgery. npj Digital Medicine (2025)

computer-assisted surgerydigital twinssurgerydigital twinningtechnologyaesthetic surgeryhealth technologysurgical educationassistive technologydigital medicine

Predicting Time-To-First Cancer Diagnosis Across Multiple Cancer Types. Scientific Reports (2025)

predictive analyticsmolecular diagnosticsmultiple cancer typesoncologycancer researchprognosisbiostatisticscancer care

Digital Twins for Health: A Scoping Review. npj Digital Medicine (2024)

Evangelia KatsoulakisQi WangHuanmei WuLeili ShahriyariRichard FletcherJinwei LiuLuke AchenieHongfang LiuPamela JacksonYing XiaoTanveer Syeda-MahmoodRichard TuliJun Deng

digital twinshealth informaticsehealthconnected healthsmart healthscoping reviewdigital healthhealth technologydigital medicinehealth sciences

A Generalizable New Figure of Merit for Dose Optimization in Dual Energy Cone Beam Ct Scanning Protocols. Physics in Medicine and Biology (2023)

C LiL ZhouJ DengH WuR WangF WangK YaoC ChenT Niu...

dose optimizationradiation oncologyapplied physicsphysicsmedical imaging

Digital Twins for Radiation Oncology. (2023)

J JensenJ Deng

radiation oncologydigital healthdigital twinstechnology

International Workshop on Digital Twins for Smart Health. (2023)

Jun DengYing DingLuke AchenieJinwei LiuShimei PanSanjay PurushothamHuanmei WuQi Wang

digital twinssmart healthtechnologydigital healthinternet of thingsinternational workshop

Liver Cancer Risk Quantification Through an Artificial Neural Network Based on Personal Health Data. Acta Oncologica (2023)

Afrouz AtaeiJun DengWazir Muhammad

artificial neural networkoncologyliver cancermachine learningdata sciencehealth dataartificial intelligencepersonal datapersonal health dataepidemiology

Long-Term Survival and Second Malignant Tumor Prediction in Pediatric, Adolescent, and Young Adult Cancer Survivors Using Random Survival Forests: A Seer Analysis. Scientific Reports (2023)

cancer letterseer analysisoncologyradiation oncologycancer researchprognosisprognostic evaluationbiostatisticsrandom survival forestscancer caresurvival analysisepidemiology of cancerlong-term survival

Statistical Biopsy: An Emerging Screening Approach for Early Detection of Cancers. Frontiers in Artificial Intelligence (2023)

Gregory R. HartVanessa YanBradley J. NartowtDavid A. RoffmanGigi StarkWazir MuhammadJun Deng

early detectionbiostatisticsstatistical biopsyartificial intelligencecancer screeningdeep learning

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Jun Deng

Professor of Therapeutic Radiology Professor of Therapeutic Radiology and Director of Physics Research

Yale University

Affiliations

SCHOOL OF MEDICINE

Biomedical Informatics & Data Science

Jun Deng is currently serving as a Biomedical Informatics & Data Science Professor of Therapeutic Radiology Professor of Therapeutic Radiology and Director of Physics Research at Yale 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

Jun Deng

Yale University

Professor of Therapeutic Radiology Professor of Therapeutic Radiology and Director of Physics Research

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

The Evolution of Digital Twins From Reactive to Agentic Systems. Nature Computational Science (2026)

evolutionary intelligenceagent-based systemintelligent computingautonomous agent systemscomputer sciencedigital twinningintelligent systemsartificial intelligencesynthetic agentagent-based models

Digital Twins for the Era of Personalized Surgery. npj Digital Medicine (2025)

computer-assisted surgerydigital twinssurgerydigital twinningtechnologyaesthetic surgeryhealth technologysurgical educationassistive technologydigital medicine

Predicting Time-To-First Cancer Diagnosis Across Multiple Cancer Types. Scientific Reports (2025)

predictive analyticsmolecular diagnosticsmultiple cancer typesoncologycancer researchprognosisbiostatisticscancer care

Digital Twins for Health: A Scoping Review. npj Digital Medicine (2024)

Evangelia KatsoulakisQi WangHuanmei WuLeili ShahriyariRichard FletcherJinwei LiuLuke AchenieHongfang LiuPamela JacksonYing XiaoTanveer Syeda-MahmoodRichard TuliJun Deng

digital twinshealth informaticsehealthconnected healthsmart healthscoping reviewdigital healthhealth technologydigital medicinehealth sciences

A Generalizable New Figure of Merit for Dose Optimization in Dual Energy Cone Beam Ct Scanning Protocols. Physics in Medicine and Biology (2023)

C LiL ZhouJ DengH WuR WangF WangK YaoC ChenT Niu...

dose optimizationradiation oncologyapplied physicsphysicsmedical imaging

Digital Twins for Radiation Oncology. (2023)

J JensenJ Deng

radiation oncologydigital healthdigital twinstechnology

International Workshop on Digital Twins for Smart Health. (2023)

Jun DengYing DingLuke AchenieJinwei LiuShimei PanSanjay PurushothamHuanmei WuQi Wang

digital twinssmart healthtechnologydigital healthinternet of thingsinternational workshop

Liver Cancer Risk Quantification Through an Artificial Neural Network Based on Personal Health Data. Acta Oncologica (2023)

Afrouz AtaeiJun DengWazir Muhammad

artificial neural networkoncologyliver cancermachine learningdata sciencehealth dataartificial intelligencepersonal datapersonal health dataepidemiology

Long-Term Survival and Second Malignant Tumor Prediction in Pediatric, Adolescent, and Young Adult Cancer Survivors Using Random Survival Forests: A Seer Analysis. Scientific Reports (2023)

Statistical Biopsy: An Emerging Screening Approach for Early Detection of Cancers. Frontiers in Artificial Intelligence (2023)

Gregory R. HartVanessa YanBradley J. NartowtDavid A. RoffmanGigi StarkWazir MuhammadJun Deng

early detectionbiostatisticsstatistical biopsyartificial intelligencecancer screeningdeep learning

1
2
3
4
5
14
10 / page

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Stanford University

radiation oncology

medical imaging

Alex Anh-Tuan Bui

Institution

University of California, Los Angeles

cancer informatics

biomedical informatics

Todd McNutt

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Johns Hopkins University

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thoracic oncology

Xiaodong Wu

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Duke University

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radiation therapy

Timothy Showalter

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oncology

Abhinav Jha

Institution

Washington University in St. Louis

radiation oncology

medical imaging

Jeffrey Siebers

Institution

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