Christopher P. Bridge
Christopher P. Bridge
Massachusetts General Hospital, Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
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, CP Bridge, CP Bay, A Babic, FJ Fintelmann, FM Troschel, ...
Radiology 298 (2), 319-329, 2021
A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat
MA Maraci, CP Bridge, R Napolitano, A Papageorghiou, JA Noble
Medical image analysis 37, 22-36, 2017
Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks
V Sundaresan, CP Bridge, C Ioannou, JA Noble
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
Automated annotation and quantitative description of ultrasound videos of the fetal heart
CP Bridge, C Ioannou, JA Noble
Medical image analysis 36, 147-161, 2017
Fully-automated analysis of body composition from CT in cancer patients using convolutional neural networks
CP Bridge, M Rosenthal, B Wright, G Kotecha, F Fintelmann, F Troschel, ...
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
Temporal HeartNet: towards human-level automatic analysis of fetal cardiac screening video
W Huang, CP Bridge, JA Noble, A Zisserman
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Introduction to the monogenic signal
CP Bridge
arXiv preprint arXiv:1703.09199, 2017
Using DICOM metadata for radiological image series categorization: a feasibility study on large clinical brain MRI datasets
R Gauriau, C Bridge, L Chen, F Kitamura, NA Tenenholtz, JE Kirsch, ...
Journal of digital imaging 33, 747-762, 2020
Multilevel body composition analysis on chest computed tomography predicts hospital length of stay and complications after lobectomy for lung cancer: a multicenter study
TD Best, SF Mercaldo, DS Bryan, JP Marquardt, MM Wrobel, CP Bridge, ...
Annals of surgery 275 (5), e708-e715, 2022
Object localisation in fetal ultrasound images using invariant features
CP Bridge, JA Noble
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 156-159, 2015
A Fully Automated Deep Learning Pipeline for Multi–Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans
CP Bridge, TD Best, MM Wrobel, JP Marquardt, K Magudia, C Javidan, ...
Radiology: Artificial Intelligence 4 (1), e210080, 2022
Addressing catastrophic forgetting for medical domain expansion
S Gupta, P Singh, K Chang, L Qu, M Aggarwal, N Arun, A Vaswani, ...
arXiv preprint arXiv:2103.13511, 2021
Associations of skeletal muscle with symptom burden and clinical outcomes in hospitalized patients with advanced cancer
E van Seventer, JP Marquardt, AS Troschel, TD Best, N Horick, C Azoba, ...
Journal of the National Comprehensive Cancer Network 19 (3), 319-327, 2021
Evaluating frailty, mortality, and complications associated with metastatic spine tumor surgery using machine learning–derived body composition analysis
E Massaad, CP Bridge, A Kiapour, MS Fourman, JB Duvall, ID Connolly, ...
Journal of Neurosurgery: Spine 37 (2), 263-273, 2022
Improving the repeatability of deep learning models with Monte Carlo dropout
A Lemay, K Hoebel, CP Bridge, B Befano, S De Sanjosé, D Egemen, ...
npj Digital Medicine 5 (1), 174, 2022
The trials and tribulations of assembling large medical imaging datasets for machine learning applications
K Magudia, CP Bridge, KP Andriole, MH Rosenthal
Journal of Digital Imaging 34, 1424-1429, 2021
Machine learning for adrenal gland segmentation and classification of normal and adrenal masses at CT
C Robinson-Weiss, J Patel, BC Bizzo, DI Glazer, CP Bridge, KP Andriole, ...
Radiology 306 (2), e220101, 2022
Development and clinical application of a deep learning model to identify acute infarct on magnetic resonance imaging
CP Bridge, BC Bizzo, JM Hillis, JK Chin, DS Comeau, R Gauriau, ...
Scientific Reports 12 (1), 2154, 2022
Muscle loss is associated with overall survival in patients with metastatic colorectal cancer independent of tumor mutational status and weight loss
TD Best, EJ Roeland, NK Horick, EE Van Seventer, A El-Jawahri, ...
The Oncologist 26 (6), e963-e970, 2021
Highdicom: A python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology
CP Bridge, C Gorman, S Pieper, SW Doyle, JK Lennerz, ...
Journal of digital imaging 35 (6), 1719-1737, 2022
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