| 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 | 33 | 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 | 29 | 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 | 27 | 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 | 22 | 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 | 20 | 2018 |
| Introduction to the monogenic signal CP Bridge arXiv preprint arXiv:1703.09199, 2017 | 17 | 2017 |
| 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 | 10 | 2015 |
| 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, 201640, 2020 | 4 | 2020 |
| 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, 1-16, 2020 | 3 | 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, 2020 | 1 | 2020 |
| Localizing Cardiac Structures in Fetal Heart Ultrasound Video CP Bridge, C Ioannou, JA Noble International Workshop on Machine Learning in Medical Imaging, 247-255, 2017 | 1 | 2017 |
| 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 1 (aop), 1-9, 2021 | | 2021 |
| " Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT GP Biondetti, R Gauriau, CP Bridge, C Lu, KP Andriole arXiv preprint arXiv:2008.08525, 2020 | | 2020 |
| Body Composition on Chest Computed Tomography Predicts Hospital Length of Stay and Complications Following Lobectomy for Lung Cancer: A Multicenter Study F Fintelmann, TD Best, SF Mercaldo, JP Marquardt, A Muniappan, ... B110. IMAGING AND MOLECULAR BIOMARKERS FOR LUNG CANCER, A4446-A4446, 2020 | | 2020 |
| Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports N Deshmukh, S Gumustop, R Gauriau, V Buch, B Wright, C Bridge, ... arXiv preprint arXiv:1910.13573, 2019 | | 2019 |
| Abstract WP78: Deep Learning for Acute Ischemic Stroke on Diffusion MRI: Performance Analysis in a Consecutive Cohort B Bizzo, C Bridge, R Gauriau, W Wiggins, MT Caton, J Hillis, B Wright, ... Stroke 50 (Suppl_1), AWP78-AWP78, 2019 | | 2019 |
| Computer-Aided Analysis of Fetal Cardiac Ultrasound Videos CP Bridge University of Oxford, 2017 | | 2017 |
| Dataset for" Automated Annotation and Quantitative Description of Ultrasound Videos of the Fetal Heart" C Bridge University of Oxford, 2016 | | 2016 |
| Towards automating the ISUOG “six-step basic ultrasound” scan: OC11. 07 M Maraci, C Bridge, J Noble, C Aye, M Molloholli, R Napolitano, ... Ultrasound in Obstetrics and Gynecology 46, 2015 | | 2015 |
| OC11. 07: Towards automating the ISUOG “six‐step basic ultrasound” scan MA Maraci, C Bridge, JA Noble, C Aye, M Molloholli, R Napolitano, ... Ultrasound in Obstetrics & Gynecology 46, 25-25, 2015 | | 2015 |
Alison NobleTechnikos Professor of Biomedical Engineering, University of Oxford, UKVerified email at eng.ox.ac.uk
