| 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 | 97 | 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 |
| 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 |
| 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 | 55 | 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 | 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 |
| 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 |
| 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 | 15 | 2023 |
| 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 |
| 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 |
| 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 | 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 |
| 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 | 12 | 2022 |
| 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 | 12 | 2022 |
Jayashree Kalpathy-CramerUniversity of ColoradoVerified email at cuanschutz.edu
