Publications and Activities

Also see my Google Scholar page or my ORCiD profile

Journal and Conference Papers

  • “Development and Clinical Application of a Deep Learning Model to Identify Acute Infarct on Magnetic Resonance Imaging”

    C.P. Bridge*, B.C. Bizzo*, J.M. Hillis, J.K. Chin, D.S. Comeau, R. Gauriau, F. Macruz, J. Pawar, F.T.C. Noro, E. Sharaf, M.S. Takahashi, B. Wright, J.F. Kalafut, K.P. Andriole, S.R. Pomerantz, S. Pedemonte, and R.G. González

    *equal contribution

    Scientific Reports 12, 2154 (2022)

    [Nature]

  • “Deploying clinical machine learning? Consider the following...”

    C. Lu, K. Chang, P. Singh, S. Pomerantz, S. Doyle, S. Kakarmath, C.P. Bridge, and J. Kalpathy-Cramer

    Trustworthy AI For Healthcare Workshop, AAAI, 2022

    [arXiv]

  • “A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest Computed Tomography”

    C.P. Bridge, T.D. Best, M. Wrobel, J. Marquardt, K. Magudia, C. Javidan, J.H. Chung, J. Kalpathy-Cramer, K.P. Andriole, and F.J. Fintelmann

    Radiology: Artificial Intelligence, 2022 4:1

    [RSNA]

  • “Computed Tomography-Based Body Composition Profile as a Screening Tool for Geriatric Frailty Detection”

    O. Laur, M.J. Weaver, C.P. Bridge, E. Chow, M. Rosenthal, C.P. Bay, H. Javedan, M.B. Harris, and K. Bhurana

    Skeletal Radiology, December 2021

    [Springer Link]

  • “Monte Carlo Dropout Increases Model Repeatability”

    A. Lemay, K. Hoebel, C.P. Bridge, D. Egemen, A. Rodriguez, M. Schiffman, J. Campbell, and J. Kalpathy-Cramer

    ML4H Workshop, NeurIPS 2021 (Extended abstract)

    [arXiv]

  • “Basic Artificial Intelligence Techniques: Evaluation of Artificial Intelligence Performance”

    J. Kalpathy-Cramer, Jay B. Patel, C.P. Bridge, and K. Chang

    Radiologic Clinics, Volume 59 Issue 6, P941-954, 2021

    [Radiologic Clinics]

  • “The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications”

    K. Magudia, C.P. Bridge, K.P. Andriole, and M.H. Rosenthal

    Journal of Digital Imaging, October 2021

    [Springer Link]

  • “Head CT Deep Learning Model for Early Stroke Identification Outperforms Human Experts”

    B.C. Bizzo, R. Gauriau, D.S. Comeau, J.M. Hillis, C.P. Bridge, J.K. Chin, J. Pawar, A. Pourvaziri, I. Sesic, E. Sharaf, J. Cao, F.T.C. Noro, F. Kitamura, K. Dreyer, J.F. Kalafut, K.P. Andriole, S.R. Pomerantz, R.G. González, and M. Lev

    Preprint in review

    [Research Square]

  • “Highdicom: A Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology”

    C.P. Bridge, C. Gorman, S. Pieper, S.W. Doyle, J.K. Lennerz, J. Kalpathy-Cramer, D.A. Clunie, A.Y. Fedorov, and M.D. Herrmann

    Preprint in review

    [arXiv]

  • “Traumatic Cervical Spine Fracture Patterns on CT: A Retrospective Analysis at a Level 1 Trauma center”

    A. Tang, J. Pawar, C.P. Bridge, R. King, S. Kakarmath, M. Harris, and B. Khurana

    Emergency Radiology, June 2021

    [Springer Link]

  • “M-SiSSR: Regional Endocardial Function using Multilabel Simultaneous Subdivision Surface Registration”

    D.M. Vigneault, F. Contijoch, C.P. Bridge, K. Lowe, C. Jan, and E.R. McVeigh

    Functional Imaging and Modeling of the Heart, June 2021

    [Springer Link]

  • “ECGAug: A Novel Method of Generating Augmented Annotated Electrocardiogram QRST Complexes and Rhythm Strips”

    H.F. Stabeneau*, C.P. Bridge*, and J.W. Waks

    Computers in Medicine and Biology, May 2021

    *equal contribution

    [Science Direct]

  • “Addressing Catastrophic Forgetting for Medical Domain Expansion”

    S. Gupta, P. Singh, K. Chang, L. Qu, M. Aggarwal, N. Arun, A. Vaswani, S. Raghavan, V. Agarwal, M. Gidwani, K. Hoebel, J. Patel, C. Lu, C.P. Bridge, D.L. Rubin, and J. Kalpathy-Cramer

    Preprint

    [arXiv]

  • “Muscle Loss is Associated with Overall Survival in Patients with Metastatic Colorectal Cancer Independent of Tumor Mutational Status and Weight Loss”

    T.D. Best, E.J. Roeland, N.K. Horick, E.E. Van Seventer, A. El-Jawahri, A.S. Troschel, P.C. Johnson, K.N. Kanter, M.G. Fish, J.P. Marquardt, C.P. Bridge, J.S. Temel, R.B. Corcoran, R.D. Nipp, and F.J. Fintelmann

    The Oncologist, April 2021

    [The Oncologist]

  • “Associations of Skeletal Muscle With Symptom Burden and Clinical Outcomes in Hospitalized Patients With Advanced Cancer”

    E.E. van Seventer, J.-P. Marquardt, A.S. Troschel, T.D. Best, N. Horick, C. Azoba, R. Newcomb, E.J. Roeland, M. Rosenthal, C.P. Bridge, J.A. Greer, A. El-Jawahri, J. Temel, F.J. Fintelmann, and R.D. Nipp

    Journal of the National Comprehensive Cancer Network, Volume 19: Issue 3

    [JNCCN Open Access]

  • “Population-Scale CT-Based Body Composition Analysis Of a Large Outpatient Population Using Deep Learning To Derive Age, Sex, and Race-Specific Reference Curves”

    K. Magudia, C.P. Bridge, C.P. Bay, A. Babic, F.J. Fintelmann, F. Troschel, N. Miskin, W. Wrobel, L.K. Brais, K.P. Andriole, B.M. Wolpin, and M.H. Rosenthal

    Radiology, November 2020

    [Radiology]

  • “Name That Manufacturer. Relating Image Acquisition Bias with Task Complexity When Training Deep Learning Models: Experiments on Head CT”

    G.P. Biondetti, R. Gauriau, C.P. Bridge, C. Lu, and K.P. Andriole

    Preprint in review

    [arXiv]

  • “Multilevel Body Composition Analysis on Chest Computed Tomography Predicts Hospital Length of Stay and Complications Following Lobectomy for Lung Cancer: A Multicenter Study”

    T.D. Best, S.F. Mercaldo, D.S. Bryan, J.-P. Marquardt, M.M. Wrobel, C.P. Bridge, F.M. Troschel, C. Javidan, J.H. Chung, A. Muniappan, S. Bhalla, B.F. Meyers, M.K. Ferguson, H.A. Gaissert, and F.J. Fintelmann

    Annals of Surgery, July 2020

    [Wolters Kluwer]

  • “Using DICOM Metadata for Radiological Image Series Categorizations: a Feasibility Study on Large Clinical Brain MRI Datasets”

    R. Gauriau, C.P. Bridge, L. Chen, F. Kitamura, N.A. Tenenholtz, J.E. Kirsch, K.P. Andriole, M.H. Michalski, and B.C. Bizzo

    Journal of Digital Imaging, January 2020

    [Springer Link]

  • “Semi-Supervised Natural Language Processing Approach for Fine-Grained Classification of Medical Reports”

    N. Deshmukh, S. Gumustop, R. Gauriau, V. Buch, B. Wright, C.P. Bridge, R. Naidu, K. Andriole, and B. Bizzo

    New In ML Workshop, NeurIPS, Vancouver, December 2019

    [arXiv]

  • “Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks”

    C.P. Bridge*, M. Rosenthal*, B. Wright, G. Kotecha, F. Fintelmann, F. Troschel, N. Miskin, K. Desai, W. Wrobel, A. Babic, N. Khalaf, L. Brais, M. Welch, C. Zellers, N. Tenenholtz, M. Michalski, B. Wolpin, and K. Andriole

    Workshop on Clinical Image-based Procedures, MICCAI, Granada 2018

    *equal contribution

    [Springer Link] [arXiv]

  • “Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video”

    W. Huang, C.P. Bridge, J.A. Noble, and A. Zisserman

    MICCAI, Québec City 2017, pp. 341-349

    [Springer Link] [arXiv] [Slides] [Poster]

  • “Localizing Cardiac Structures in Fetal Heart Ultrasound Video”

    C.P. Bridge, C. Ioannou, and J.A. Noble

    Machine Learning in Medical Imaging Workshop, MICCAI, 2017, pp. 246-255

    [Springer Link] [Authors’ Manuscript] [Poster]

  • “A Framework for Analysis of Linear Ultrasound Videos to Detect Fetal Presentation and Heartbeat”

    M.A. Maraci, C.P. Bridge, R. Napolitano, A. Papageorghiou, and J.A. Noble

    Medical Image Analysis, 37 (April 2017) pp. 22-36

    [Open Access Paper]

  • “Automated Characterisation Of The Fetal Heart In Ultrasound Images Using Fully Convolutional Neural Networks”

    V. Sundaresan, C.P. Bridge, C. Ioannou, and J.A. Noble

    IEEE International Symposium on Biomedical Imaging, Melbourne, April 2017, pp. 671-674

    [IEEE Xplore]

  • “Automated Annotation and Quantitative Description of Ultrasound Videos of the Fetal Heart”

    C.P. Bridge, C. Ioannou, and J.A. Noble

    Medical Image Analysis 36 (February 2017) pp. 147-161

    [Open Access Paper] [Authors’ Manuscript]

  • “Object Localisation in Fetal Ultrasound Images Using Invariant Features”

    C.P. Bridge and J.A. Noble

    Proceedings of IEEE International Symposium on Biomedical Imaging, New York City, 2015

    [IEEE Xplore] [Authors’ Manuscript] [Poster] (© IEEE 2015)

Conference Abstracts

  • “Is this good enough? On expert perception of brain tumor segmentation quality”

    K. Hoebel, C.P. Bridge, S. Ahmed, O. Akintola, C. Chung, R. Huang, J. Johnson, A. Kim, K.I. Ly, K. Chang, J. Patel, M. Pinho, B. Rosen, E. Gerstner, and J. Kalpathy-Cramer

    SPIE Medical Imaging, San Diego, California, Februrary 2022

    [Abstract]

  • “Do I know this? segmentation uncertainty under domain shift”

    K. Hoebel, C.P. Bridge, A. Lemay, K. Chang, J. Patel, B. Rosen, and J. Kalpathy-Cramer

    SPIE Medical Imaging, San Diego, California, Februrary 2022

    [Abstract]

  • “A Fully Automated Pipeline For Multi-vertebral Level Quantification And Characterization Of Muscle And Adipose Tissue On Chest Computed Tomography”

    C.P. Bridge, T.D. Best, M. Wrobel, J. Marquardt, K. Magudia, J.H. Chung, M.H. Rosenthal, J. Kalpathy-Cramer, K.P. Andriole, and F.J. Fintelmann

    Radiological Society of North America Annual Meeting, 1st December 2021

    [Recorded Session (Paywall)]

  • “Teaching a Machine To Find Adrenal Glands: Novel Machine Learning Model For Adrenal Gland Segmentation and Mass Classification on CT”

    C. Robinson-Weiss, J.B. Patel, B. Bizzo, D. Glazer, C.P. Bridge, B. Dabiri, K. Dreyer, K. Andriole, J. Kalpathy-Cramer, and W. Mayo-Smith

    Radiological Society of North America Annual Meeting, November 2021

  • “Do you Agree? An Exploration of Inter-rater Variability and Deep Learning Segmentation Uncertainty”

    K.V. Hoebel, C.P. Bridge, J.B. Patel, K. Chang, M.C. Pinho, X. Ma, B.R. Rosen, T.T. Batchelor, E.R. Gerstner, and J. Kalpathy-Cramer

    International Society for Magnetic Resonance in Medicine Annual Meeting, May 2021

  • “Unified Universal Lesion Detector”

    A. Vaswani, M. Aggarwal, N.T. Arun, S. Gupta, K. Chang, C.P. Bridge, J. Patel, K. Hoebel, M. Gidwani, J. Pawar, J. Kalpathy-Cramer, and P. Singh

    IEEE International Symposium on Biomedical Imaging, April 2021

  • “Body Composition Profile of Clinically Frail Patients Based on Their Opportunistic Cross-sectional CT Imaging - A Pathway to Early Diagnosis and Treatment of Frailty”

    O. Laur, C.P. Bridge, E. Chow, M.H. Rosenthal, C.P. Bay, H. Javedan, M. Harris, and B. Khurana

    Radiological Society of North America (RSNA) Annual Meeting, November 2020 (On Demand Paper)

  • “Prediction of Major Cardiovascular Events in a Large Outpatient Adult Cohort Using Fully Automated and Normalized Deep Learning Body Composition Analysis of Routine Abdominal CT”

    K. Magudia, C.P. Bridge, C.P. Bay, F.J. Fintelmann, A. Babic, K.P. Andriole, B. Wolpin, and M. Rosenthal

    Radiological Society of North America (RSNA) Annual Meeting, November 2020 (Featured Paper)

  • “Representing and Communicating AI Model Results in Standard DICOM Format Using the Python Programming Language”

    C.P. Bridge, S.W. Doyle, A.Y. Fedorov, S. Pieper, E. Ziegler, J. Petts, D.A. Clunie, G.J. Harris, K.P. Andriole, J.K. Lennerz, and M.D. Herrmann

    Radiological Society of North America (RSNA) Annual Meeting, November 2020 (Educational Exhibit)

    [Slides]

  • “Body Composition on Chest Computed Tomography Predicts Hospital Length of Stay and Complications Following Lobectomy for Lung Cancer: A Multicenter Study”

    F. Fintelmann, T.D. Best, S.F. Mercaldo, J.-P. Marquardt, A. Muniappan, C.P. Bridge, F.M. Troschel, S. Bhalla, C. Javidan, D.S. Bryan, J.H. Chung, B.F. Meyers, H.A. Gaissert, and M.K. Ferguson

    American Thoracic Society International Conference, May 2020

    [Abstract]

  • “Relationships Among Skeletal Muscle, Symptom Burden, Health Care Utilization, and Survival in Hospitalized Patients with Advanced Cancer”

    C. Azoba, E. van Seventer, J.P. Marquardt, A.S. Troschel, T.D. Best, N. Horick, R. Newcomb, E.J. Roeland, M. Rosenthal, C.P. Bridge, J. Greer, A. El-Jawahri, J. Temel, F.J. Fintelmann, and R.D. Nipp

    American Society of Clinical Oncology Annual Meeting, 2020

    [Abstract]

  • “Using Deep Learning to Aid Brown Fat Detection in F-18 FDG PET/CT”

    E. Sun, C.P. Bridge, R.C. King, H. Hyun, and K.P. Andriole

    Society for Imaging Informatics in Medicine Annual Meeting, Austin 2020

    [Abstract]

  • “Name the Manufacturer: A Simple Experiment to Show Image Acquisition Bias When Training Deep Learning Models”

    G.P. Biondetti, R. Gauriau, C. Lu, C.P. Bridge, and K.P. Andriole

    Society for Imaging Informatics in Medicine Annual Meeting, Austin 2020

  • “Highdicom - High-Level DICOM Abstractions for the Python Programming Language to Encode Image-Derived Annotations and Machine Learning Outputs in Standard Format”

    M.D. Herrmann, A. Fedorov, S. Pieper, S.W. Doyle, C.P. Bridge, D. Clunie, and J.K. Lennerz

    Society for Imaging Informatics in Medicine Annual Meeting, Austin 2020

    [Abstract]

  • “CT-based Body Composition Analysis: Comparison of Single-slice Versus Multi-slice Averaging for Estimation of Change Over Time”

    K. Magudia, C.P. Bridge, F.J. Fintelmann, K. Andriole, and M. Rosenthal

    Society of Abdominal Radiology Annual Meeting, Maui 2020

  • “The Trials and Tribulations of Assembling Large Datasets for Machine Learning Applications”

    K. Magudia, C.P. Bridge, M. Walters, A. McCarthy, M. Michalski, K. Andriole, and M. Rosenthal

    Society for Imaging Informatics in Medicine Annual Meeting, Denver 2019

    [Abstract]

  • “Fully Automated Analysis of Body Composition from Routine Clinical Abdominal CT is Associated with Overall Survival in an Unselected Outpatient Population”

    K. Magudia, C.P. Bridge, C.P. Bay, N. Tenenholtz, A. Babic, K.P. Andriole, B. Wolpin, and M. Rosenthal

    Society of Abdominal Radiology Annual Meeting, Orlando 2019

  • “Fully Automated Analysis of Body Composition from Routine Clinical Abdominal CT: Quality Assurance and Failure Analysis”

    K. Magudia, C.P. Bridge, C.P. Bay, N. Tenenholtz, A. Babic, K.P. Andriole, B. Wolpin, and M. Rosenthal

    Society of Abdominal Radiology Annual Meeting, Orlando 2019

  • “Deep Learning for Acute Ischemic Stroke on Diffusion MRI: Performance Analysis in a Consecutive Cohort”

    B. Bizzo, C.P. Bridge, R. Gauriau, W. Wiggins, M.T. Caton, J. Hillis, B. Wright, N. A. Tenenholtz, K.P. Andriole, M. Michalski, and G. Gonzalez

    International Stroke Conference, Honolulu 2019

    [AHA Journals]

  • “Deep Learning for Acute Ischemic Stroke on Diffusion-Weighted MR Imaging”

    B. Bizzo, C.P. Bridge, S. Pedemonte, B. Wright, R.R. Almeida, S. Doyle, M. Walters, N. Tenenholtz, A. McCarthy, S. Pomerantz, K. Andriole, R. Gonzalez, and M. Michalski

    Radiological Society of North America (RSNA) Annual Meeting, Chicago 2018

  • “Towards Automating the ISUOG ‘Six‐Step Basic Ultrasound’ Scan”

    M.A. Maraci, C.P. Bridge, J.A. Noble, C. Aye, M. Molloholli, R. Napolitano, A.T. Papageorghiou

    Abstracts of the 25th World Congress on Ultrasound in Obstetrics and Gynecology, Montreal 2015

    [Wiley Online]

Patents and Patent Applications

  • “CTA Large Vessel Occlusion Model”

    M.D. Herrmann, J.F. Kalafut, B.C. Bizzo, C.P. Bridge M. Lev, C. Lu, and J.M. Hillis

    US Patent Application 17/083,761

    [Google Patents]

  • “Computed Tomography Medical Imaging Intracranial Hemorrhage Model”

    J.F. Kalafut, B. Bizzo, B. Hashemian, C.P. Bridge, N. Tenenholtz, and S.R. Pomerantz

    US Patent Application 16/587,828

    [Free Patents Online]

  • “Medical Imaging Stroke Model”

    J.F. Kalafut, B. Bizzo, S. Pedemonte, C.P. Bridge, N. Tenenholtz, and R.G. Gonzalez

    US Patent Application 16/588,080

    [PDF]

Other Resources

  • C.P. Bridge, “Computer-Aided Analysis of Fetal Cardiac Ultrasound Videos” – DPhil Thesis, University of Oxford, 2017 [PDF] [Oxford Research Archive]
  • C.P. Bridge, “An Introduction to the Monogenic Signal” – A tutorial on the monogenic signal. [arXiv] [PDF]
  • C.P. Bridge, “Registration of the Human Femur” – MEng Thesis, University of Cambridge, 2013 [PDF]

Peer Review

I have reviewed submissions for the following journals and conferences: