Christopher P. Bridge

Процитировано

	Все	Начиная с 2019 г.
Статистика цитирования	782	722
h-индекс	14	14
i10-индекс	24	23

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Jayashree Kalpathy-CramerUniversity of ColoradoПодтвержден адрес электронной почты в домене cuanschutz.edu
Florian J. FintelmannMassachusetts General Hospital/Harvard Medical SchoolПодтвержден адрес электронной почты в домене mgh.Harvard.edu
Bernardo BizzoMassachusetts General Hospital, Harvard Medical SchoolПодтвержден адрес электронной почты в домене mgh.harvard.edu
Michael RosenthalBrigham and Women's Hospital / Dana-Farber / Harvard Medical SchoolПодтвержден адрес электронной почты в домене partners.org
Alison NobleTechnikos Professor of Biomedical Engineering, University of Oxford, UKПодтвержден адрес электронной почты в домене eng.ox.ac.uk
Romane GauriauEQRxПодтвержден адрес электронной почты в домене eqrx.com
Kirti MagudiaDuke University School of MedicineПодтвержден адрес электронной почты в домене duke.edu
Neil TenenholtzMicrosoft ResearchПодтвержден адрес электронной почты в домене microsoft.com
Till Dominik BestMassachusetts General Hospital | Harvard Medical SchoolПодтвержден адрес электронной почты в домене mgh.harvard.edu
Christos IoannouUniversity of OxfordПодтвержден адрес электронной почты в домене wrh.ox.ac.uk
John F Kalafut PhDAsher Orion Group LLC , University of Pittsburgh, Ex: GE Healthcare, Bayer, MEDRADПодтвержден адрес электронной почты в домене asheroriongroup.com
Mark H MichalskiMGH/HarvardПодтвержден адрес электронной почты в домене mgh.harvard.edu
Felipe Campos KitamuraDiretor de Inovação Aplicada e IA na Dasa, Professor de Radiologia, UNIFESPПодтвержден адрес электронной почты в домене unifesp.br
Aris T. Papageorghiou, 艾瑞斯教授University of Oxford and St George's Hospital, London.Подтвержден адрес электронной почты в домене wrh.ox.ac.uk
Vaanathi SundaresanIndian Institute of Science, Bangalore; University of Oxford, United KingdomПодтвержден адрес электронной почты в домене iisc.ac.in
Weilin HuangAlibaba GroupПодтвержден адрес электронной почты в домене robots.ox.ac.uk
Andrew ZissermanUniversity of OxfordПодтвержден адрес электронной почты в домене robots.ox.ac.uk
Mohammad Ali MaraciUniversity of Oxford

Christopher P. Bridge

Massachusetts General Hospital, Harvard Medical School

Подтвержден адрес электронной почты в домене nmr.mgh.harvard.edu - Главная страница

Medical Image Analysis Ultrasound Machine Learning Computer Vision


Название По числу цитат По году По названию	Процитировано Процитировано	Год
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	99	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	66	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	62	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	56	2018
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	56	2017
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	55	2017
Introduction to the monogenic signal CP Bridge arXiv preprint arXiv:1703.09199, 2017	37	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	35	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	27	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	20	2022
Body composition and lung cancer-associated cachexia in TRACERx O Al-Sawaf, J Weiss, M Skrzypski, JM Lam, T Karasaki, F Zambrana, ... Nature medicine 29 (4), 846-858, 2023	18	2023
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	18	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	17	2015
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	15	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	14	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	13	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	13	2021
ECGAug: A novel method of generating augmented annotated electrocardiogram QRST complexes and rhythm strips HF Stabenau, CP Bridge, JW Waks Computers in biology and medicine 134, 104408, 2021	13	2021
Utility of normalized body composition areas, derived from outpatient abdominal CT using a fully automated deep learning method, for predicting subsequent cardiovascular events K Magudia, CP Bridge, CP Bay, S Farah, A Babic, FJ Fintelmann, LK Brais, ... American Journal of Roentgenology 220 (2), 236-244, 2023	12	2023
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	12	2022

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