Faculty

Institution

Unit

Venue

Christopher Beaulieu

Professor of Radiology Musculoskeletal Imaging

Stanford University

Affiliations

School of Medicine

Radiology

Christopher Beaulieu is currently serving as a Radiology Professor of Radiology Musculoskeletal Imaging at Stanford University.

Honors

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Experiences

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Education

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Christopher Beaulieu

Stanford University

Professor of Radiology Musculoskeletal Imaging

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medical imaging radiology magnetic resonance imaging biomedical imaging computed tomography orthopedic surgery neuroimaging orthopaedic surgery medical image analysis neuroscience rehabilitation image analysis cancer imaging image retrieval computer vision ct colonography athletic training machine learning computational imaging musculoskeletal imaging upper extremity ct scan abdominal imaging digital imaging skeletal imaging medical image computing respiratory medicine content-based image retrieval radiographic imaging brain imaging articular cartilage initial experience human movement sport physical therapy sport medicine physical medicine biomedical informatics musculoskeletal disorders neuroradiology orthopedic biomechanics radiomics 3d imaging liver lesions applied physiology magnetic resonance medical technology musculoskeletal surgery shoulder surgery colonic polyps arthroplasty machine vision gastrointestinal endoscopy exercise rehabilitation 3d body scanning tissue imaging image similarity relevance feedback principal component analysis multi-detector row ct focal liver lesions curved planar reformations healthy volunteers initial clinical experience stress testing mr imaging brachial plexus spin-echo imaging long-distance runners sacral stress fractures computer-aided diagnosis sport injuries angiology path planning medical biophysics trajectory planning aeronautics diagnosis artificial intelligence digital pathology digital medicine

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automating Scoliosis Measurements in Radiographic Studies With Machine Learning: Comparing Artificial Intelligence and Clinical Reports. Journal of Digital Imaging (2022)

Audrey Y. HaBao H. DoAdam L. BartretCharles X. FangAlbert HsiaoAmelie M. LutzImon BanerjeeGeoffrey M. RileyDaniel L. RubinKathryn J. StevensErin WangShannon WangChristopher F. BeaulieuBrian Hurt

artificial intelligencecomputer sciencescoliosis measurementsupper extremitydigital imagingautomationmedical imagingorthopedic surgeryradiologybiomedical imagingbiomedical engineeringautomated machine learningscoliosismedical image analysisradiographic studiesautomated reasoningmachine learning

Clinical Utility of Accelerated Mavric-Sl With Robust-Pca Compared to Conventional Mavric-Sl in Evaluation of Total Hip Arthroplasties. Skeletal Radiology (2021)

Zoe DoyleDaehyun YoonPhilip K. LeeJarrett RosenbergBrian A. HargreavesChristopher F. BeaulieuKathryn J. Stevens

clinical utilityprincipal component analysisunmanned aerial vehiclesbenchmark studiesconventional mavric-slmedical imagingarthroplastyorthopaedic surgeryorthopedic surgeryradiologyrehabilitationtotal hip arthroplasties

Artificial Intelligence and Machine Learning Applications in Musculoskeletal Imaging. Advances in Clinical Radiology (2020)

Sheila EnamandramEmir SandhuBao H. DoJoshua J. ReicherChristopher F. Beaulieu

artificial intelligencemusculoskeletal imagingmedical imagingradiologymedicinemachine learning

Automated Abnormality Detection in Lower Extremity Radiographs Using Deep Learning. Nature Machine Intelligence (2019)

Maya VarmaMandy LuRachel GardnerJared DunnmonNishith KhandwalaPranav RajpurkarJin LongChristopher BeaulieuKatie ShpanskayaLi Fei-FeiMatthew P. LungrenBhavik N. Patel

artificial intelligencecomputer sciencedeep learningmedical imagingbiomedical imagingradiologymachine intelligenceanomaly detectionlower extremity radiographsabnormality detectionmachine learning

Combined 5‐Minute Double‐Echo in Steady‐State With Separated Echoes and 2‐Minute Proton‐Density‐Weighted 2D Fse Sequence for Comprehensive Whole‐Joint Knee Mri Assessment. Journal of Magnetic Resonance Imaging (2018)

Akshay S. ChaudhariKathryn J. StevensBragi SveinssonJeff P. WoodChristopher F. BeaulieuEdwin H.G. OeiJarrett K. RosenbergFeliks KoganMarcus T. AlleyGarry E. GoldBrian A. Hargreaves

separated echoesmagnetic resonance imagingmedical imagingneuroscienceneuroimaging

Deep-Learning-Assisted Diagnosis for Knee Magnetic Resonance Imaging: Development and Retrospective Validation of Mrnet. PLoS Medicine (2018)

Nicholas BienPranav RajpurkarRobyn L. BallJeremy IrvinAllison ParkErik JonesMichael BereketBhavik N. PatelKristen W. YeomKatie ShpanskayaSafwan HalabiEvan ZuckerGary FantonDerek F. AmanatullahChristopher F. BeaulieuGeoffrey M. RileyRussell J. StewartFrancis G. BlankenbergDavid B. LarsonRicky H. JonesCurtis P. LanglotzAndrew Y. NgMatthew P. Lungren

pediatricsplo biologydeep learningmedical imagingcomputer-aided diagnosismagnetic resonance imagingretrospective validationmedicinedeep-learning-assisted diagnosisbiomedical imaging

Is It Painful to Be Different? Sciatic Nerve Anatomical Variants on Mri and Their Relationship to Piriformis Syndrome. European Radiology (2018)

Adam L. BartretChristopher F. BeaulieuAmelie M. Lutz

neurologyneuroanatomymedical imagingmagnetic resonance imagingneuroscienceradiologyneuroimaging

Relevance Feedback for Enhancing Content Based Image Retrieval and Automatic Prediction of Semantic Image Features: Application to Bone Tumor Radiographs. Journal of Biomedical Informatics (2018)

Imon BanerjeeCamille KurtzAlon Edward DevorahBao DoDaniel L. RubinChristopher F. Beaulieu

image retrievalbiomedical imagingbone researchhealth informaticsbone imagingautomatic predictionradiologyskeletal imagingpattern recognitionradiation oncologybiomedical informaticssemantic image featuresmedical imagingorthopedic surgerycontent-based image retrievalrelevance feedbackcomputational imagingcancer imagingbiomedical engineering

Accelerated Three‐Dimensional Multispectral Mri With Robust Principal Component Analysis for Separation of on‐ and Off‐Resonance Signals. Magnetic Resonance in Medicine (2017)

Evan LevineKathryn StevensChristopher BeaulieuBrian Hargreaves

principal component analysisoff-resonance signalsbrain imagingmedical imagingmagnetic resonance imagingneurosciencemedical image analysismedicinethree-dimensional multispectral mrineuroimagingsignal separation

Adaptive Local Window for Level Set Segmentation of Ct and Mri Liver Lesions. PubMed Central (2017)

Assaf HoogiChristopher F. BeaulieuGuilherme M. CunhaElhamy HebaClaude B. SirlinSandy NapelDaniel L. Rubin

image segmentationct scanmedical imagingclinical imagescomputed tomographymedical image analysisradiologycancer imagingmri liver lesionsmedicineadaptive local window

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Christopher Beaulieu

Professor of Radiology Musculoskeletal Imaging

Stanford University

Affiliations

School of Medicine

Radiology

Christopher Beaulieu is currently serving as a Radiology Professor of Radiology Musculoskeletal Imaging 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

Christopher Beaulieu

Stanford University

Professor of Radiology Musculoskeletal Imaging

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Automating Scoliosis Measurements in Radiographic Studies With Machine Learning: Comparing Artificial Intelligence and Clinical Reports. Journal of Digital Imaging (2022)

Audrey Y. HaBao H. DoAdam L. BartretCharles X. FangAlbert HsiaoAmelie M. LutzImon BanerjeeGeoffrey M. RileyDaniel L. RubinKathryn J. StevensErin WangShannon WangChristopher F. BeaulieuBrian Hurt

Clinical Utility of Accelerated Mavric-Sl With Robust-Pca Compared to Conventional Mavric-Sl in Evaluation of Total Hip Arthroplasties. Skeletal Radiology (2021)

Zoe DoyleDaehyun YoonPhilip K. LeeJarrett RosenbergBrian A. HargreavesChristopher F. BeaulieuKathryn J. Stevens

Artificial Intelligence and Machine Learning Applications in Musculoskeletal Imaging. Advances in Clinical Radiology (2020)

Sheila EnamandramEmir SandhuBao H. DoJoshua J. ReicherChristopher F. Beaulieu

artificial intelligencemusculoskeletal imagingmedical imagingradiologymedicinemachine learning

Automated Abnormality Detection in Lower Extremity Radiographs Using Deep Learning. Nature Machine Intelligence (2019)

Maya VarmaMandy LuRachel GardnerJared DunnmonNishith KhandwalaPranav RajpurkarJin LongChristopher BeaulieuKatie ShpanskayaLi Fei-FeiMatthew P. LungrenBhavik N. Patel

artificial intelligencecomputer sciencedeep learningmedical imagingbiomedical imagingradiologymachine intelligenceanomaly detectionlower extremity radiographsabnormality detectionmachine learning

Akshay S. ChaudhariKathryn J. StevensBragi SveinssonJeff P. WoodChristopher F. BeaulieuEdwin H.G. OeiJarrett K. RosenbergFeliks KoganMarcus T. AlleyGarry E. GoldBrian A. Hargreaves

separated echoesmagnetic resonance imagingmedical imagingneuroscienceneuroimaging

Deep-Learning-Assisted Diagnosis for Knee Magnetic Resonance Imaging: Development and Retrospective Validation of Mrnet. PLoS Medicine (2018)

pediatricsplo biologydeep learningmedical imagingcomputer-aided diagnosismagnetic resonance imagingretrospective validationmedicinedeep-learning-assisted diagnosisbiomedical imaging

Is It Painful to Be Different? Sciatic Nerve Anatomical Variants on Mri and Their Relationship to Piriformis Syndrome. European Radiology (2018)

Adam L. BartretChristopher F. BeaulieuAmelie M. Lutz

neurologyneuroanatomymedical imagingmagnetic resonance imagingneuroscienceradiologyneuroimaging

Relevance Feedback for Enhancing Content Based Image Retrieval and Automatic Prediction of Semantic Image Features: Application to Bone Tumor Radiographs. Journal of Biomedical Informatics (2018)

Imon BanerjeeCamille KurtzAlon Edward DevorahBao DoDaniel L. RubinChristopher F. Beaulieu

Accelerated Three‐Dimensional Multispectral Mri With Robust Principal Component Analysis for Separation of on‐ and Off‐Resonance Signals. Magnetic Resonance in Medicine (2017)

Evan LevineKathryn StevensChristopher BeaulieuBrian Hargreaves

Adaptive Local Window for Level Set Segmentation of Ct and Mri Liver Lesions. PubMed Central (2017)

Assaf HoogiChristopher F. BeaulieuGuilherme M. CunhaElhamy HebaClaude B. SirlinSandy NapelDaniel L. Rubin

image segmentationct scanmedical imagingclinical imagescomputed tomographymedical image analysisradiologycancer imagingmri liver lesionsmedicineadaptive local window

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