Showing 50 publications by Alison Noble
Prenatal detection of congenital heart defects using the deep learning-based image and video analysis: protocol for Clinical Artificial Intelligence in Fetal Echocardiography (CAIFE), an international multicentre multidisciplinary study.
Patey O, Hernandez-Cruz N, D'Alberti E, Salovic B, Noble JA et al. (2025), BMJ open, 15(6), e101263
BibTeX
@article{prenataldetecti-2025/6,
title={Prenatal detection of congenital heart defects using the deep learning-based image and video analysis: protocol for Clinical Artificial Intelligence in Fetal Echocardiography (CAIFE), an international multicentre multidisciplinary study.},
author={Patey O, Hernandez-Cruz N, D'Alberti E, Salovic B, Noble JA et al.},
journal={BMJ open},
volume={15},
pages={e101263},
year = "2025"
}
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
Mishra D, Salehi M, Saha P, Patey O, Papageorghiou AT et al. (2025)
BibTeX
@misc{selfsupervisedl-2025/6,
title={Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation},
author={Mishra D, Salehi M, Saha P, Patey O, Papageorghiou AT et al.},
year = "2025"
}
TIER-LOC: Visual Query-based Video Clip Localization in fetal ultrasound videos with a multi-tier transformer.
Mishra D, Saha P, Zhao H, Hernandez-Cruz N, Patey O et al. (2025), Medical image analysis, 103, 103611
BibTeX
@article{tierlocvisualqu-2025/5,
title={TIER-LOC: Visual Query-based Video Clip Localization in fetal ultrasound videos with a multi-tier transformer.},
author={Mishra D, Saha P, Zhao H, Hernandez-Cruz N, Patey O et al.},
journal={Medical image analysis},
volume={103},
number={103611},
pages={103611},
publisher={Elsevier},
year = "2025"
}
PREgnancy Care Integrating translational Science, Everywhere (PRECISE): a prospective cohort study of African pregnant and non-pregnant women to investigate placental disorders - cohort profile.
Craik R, Akuze J, Volvert M-L, Blencowe H, Mukhanya M et al. (2025), BMJ Open, 15(5), e091831
BibTeX
@article{pregnancycarein-2025/5,
title={PREgnancy Care Integrating translational Science, Everywhere (PRECISE): a prospective cohort study of African pregnant and non-pregnant women to investigate placental disorders - cohort profile.},
author={Craik R, Akuze J, Volvert M-L, Blencowe H, Mukhanya M et al.},
journal={BMJ Open},
volume={15},
pages={e091831},
year = "2025"
}
Towards the Development of a Conceptual Framework of the Determinants of Pre-eclampsia: A Hierarchical Systematic Review of Biomarkers.
Elawad T, Mistry HD, Kinshella M-LW, Vidler M, Volvert M-L et al. (2025), BJOG : an international journal of obstetrics and gynaecology
BibTeX
@article{towardsthedevel-2025/5,
title={Towards the Development of a Conceptual Framework of the Determinants of Pre-eclampsia: A Hierarchical Systematic Review of Biomarkers.},
author={Elawad T, Mistry HD, Kinshella M-LW, Vidler M, Volvert M-L et al.},
journal={BJOG : an international journal of obstetrics and gynaecology},
year = "2025"
}
ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound.
Men Q, Zhao H, Drukker L, Papageorghiou AT & Noble JA (2025), Medical image analysis, 104, 103614
BibTeX
@article{scanaheadsimpli-2025/5,
title={ScanAhead: Simplifying standard plane acquisition of fetal head ultrasound.},
author={Men Q, Zhao H, Drukker L, Papageorghiou AT & Noble JA},
journal={Medical image analysis},
volume={104},
number={103614},
pages={103614},
publisher={Elsevier},
year = "2025"
}
Artificial intelligence-enabled prenatal ultrasound for the detection of fetal cardiac abnormalities: a systematic review and meta-analysis
D'Alberti E, Patey O, Smith C, Šalović B, Hernandez-Cruz N et al. (2025), EClinicalMedicine, 103250
BibTeX
@article{artificialintel-2025/5,
title={Artificial intelligence-enabled prenatal ultrasound for the detection of fetal cardiac abnormalities: a systematic review and meta-analysis},
author={D'Alberti E, Patey O, Smith C, Šalović B, Hernandez-Cruz N et al.},
journal={EClinicalMedicine},
pages={103250},
publisher={Elsevier},
year = "2025"
}
Trustworthy and practical AI for healthcare: a guided deferral system with large language models
Strong J, Men Q & Noble JA (2025), AAAI-25 Special Track on AI for Social Impact, Senior Member Presentations, New Faculty Highlights, Journal Track, 39(27), 28413-28421
BibTeX
@inproceedings{trustworthyandp-2025/4,
title={Trustworthy and practical AI for healthcare: a guided deferral system with large language models},
author={Strong J, Men Q & Noble JA},
booktitle={39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)},
pages={28413-28421},
year = "2025"
}
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR
Liang Z, Guo X, Xu W, Ibrahim Y, Voets N et al. (2025)
BibTeX
@misc{itermaskdunsupe-2025/4,
title={IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR},
author={Liang Z, Guo X, Xu W, Ibrahim Y, Voets N et al.},
year = "2025"
}
MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer
Mishra D, Saha P, Zhao H, Hernandez-Cruz N, Patey O et al. (2025), Proceedings of the AAAI Conference on Artificial Intelligence, 39(27), 28267-28275
BibTeX
@inproceedings{mcatvisualquery-2025/4,
title={MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer},
author={Mishra D, Saha P, Zhao H, Hernandez-Cruz N, Patey O et al.},
pages={28267-28275},
year = "2025"
}
MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer
Mishra D, Saha P, Zhao H, Hernandez-Cruz N, Patey O et al. (2025)
BibTeX
@misc{mcatvisualquery-2025/4,
title={MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer},
author={Mishra D, Saha P, Zhao H, Hernandez-Cruz N, Patey O et al.},
year = "2025"
}
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
Saha P, Mishra D, Hernandez-Cruz N, Patey O, Papageorghiou A et al. (2025)
BibTeX
@misc{selfsupervisedn-2025/3,
title={Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos},
author={Saha P, Mishra D, Hernandez-Cruz N, Patey O, Papageorghiou A et al.},
year = "2025"
}
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Wagner F, Xu W, Saha P, Liang Z, Whitehouse D et al. (2025), 00, 357-367
BibTeX
@inproceedings{feasibilityoffe-2025/3,
title={Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities},
author={Wagner F, Xu W, Saha P, Liang Z, Whitehouse D et al.},
booktitle={2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
pages={357-367},
year = "2025"
}
Federated Continual 3D Segmentation With Single-round Communication
Peng C, Men Q, Saha P, Yang Q, Ouyang C et al. (2025)
An automated pipeline for the identification of liver tissue in ultrasound video
Ockenden E, Mpooya S, Noble JA & Chami GF (2025), Medical Information Computing: First MICCAI Meets Africa Workshop, MImA 2024, and First MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Revised Selected Papers, 91-100
Expert-Agnostic Learning to Defer
Strong J, Saha P, Ibrahim Y, Ouyang C & Noble A (2025)
BibTeX
@misc{expertagnosticl-2025/2,
title={Expert-Agnostic Learning to Defer},
author={Strong J, Saha P, Ibrahim Y, Ouyang C & Noble A},
year = "2025"
}
A comprehensive scoping review on machine learning-based fetal echocardiography analysis.
Hernandez-Cruz N, Patey O, Teng C, Papageorghiou AT & Noble JA (2025), Computers in biology and medicine, 186, 109666-109666
BibTeX
@article{acomprehensives-2025/1,
title={A comprehensive scoping review on machine learning-based fetal echocardiography analysis.},
author={Hernandez-Cruz N, Patey O, Teng C, Papageorghiou AT & Noble JA},
journal={Computers in biology and medicine},
volume={186},
pages={109666-109666},
year = "2025"
}
Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors
Nicolson A, Schut L, Noble AJ & Gal Y (2025), Transactions on Machine Learning Research, 2025
BibTeX
@article{explainingexpla-2025/1,
title={Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors},
author={Nicolson A, Schut L, Noble AJ & Gal Y},
journal={Transactions on Machine Learning Research},
volume={2025},
year = "2025"
}
Fetal Ultrasound Video Representation Learning Using Contrastive Rubik’s Cube Recovery
Zhang K, Jiao J & Noble JA (2025), 15186, 187-197
Out-of-Clinical-Distribution Detection with a Softmax-Conditioned Variational Autoencoder Regulariser: Application to Fetal Ultrasound
Zhang K, Jiao J & Noble JA (2025), 1372, 558-568
A Deep Learning Framework for Fetal Heart Tracking in Ultrasound Videos: Toward Enhanced Congenital Heart Defects Detection
Yang Q, Cui K, Hu Y, Peng C, Hernandez-Cruz N et al. (2025), 15673, 219-230
FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
Saha P, Mishra D, Wagner F, Kamnitsas K & Noble JA (2024)
Detection of fetal congenital heart defects on three-vessel view ultrasound videos
Hernandez-Cruz N, Patey O, Salovic B, Mishra D, Sarker MK et al. (2024), WFUMB Ultrasound Open, 100075-100075
BibTeX
@article{detectionoffeta-2024/11,
title={Detection of fetal congenital heart defects on three-vessel view ultrasound videos},
author={Hernandez-Cruz N, Patey O, Salovic B, Mishra D, Sarker MK et al.},
journal={WFUMB Ultrasound Open},
pages={100075-100075},
publisher={Elsevier},
year = "2024"
}
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
Zhu J, Wu J, Ouyang C, Kamnitsas K & Noble A (2024)
F$^3$OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics
Saha P, Wagner F, Mishra D, Peng C, Thakur A et al. (2024)
Zoom Pattern Signatures for Fetal Ultrasound Structures.
Alsharid M, Yasrab R, Drukker L, Papageorghiou AT & Noble JA (2024), 15004, 786-795
STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos
Mishra D, Saha P, Zhao H, Patey O, Papageorghiou AT et al. (2024), Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 15004, 742-752
Diagnostic accuracy of a non-invasive spot-check hemoglobin meter, Masimo Rad-67® pulse CO-Oximeter®, in detection of anemia in antenatal care settings in Kenya.
Koech A, Mwaniki I, Mutunga J, Mukhanya M, Mwadime E et al. (2024), Frontiers in global women's health, 5, 1427261
BibTeX
@article{diagnosticaccur-2024/10,
title={Diagnostic accuracy of a non-invasive spot-check hemoglobin meter, Masimo Rad-67® pulse CO-Oximeter®, in detection of anemia in antenatal care settings in Kenya.},
author={Koech A, Mwaniki I, Mutunga J, Mukhanya M, Mwadime E et al.},
journal={Frontiers in global women's health},
volume={5},
pages={1427261},
publisher={Frontiers},
year = "2024"
}
Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary.
Karim J, Lander J, Men Q, Ahuja R, Noble A et al. (2024), Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 64 Suppl 1, 116
BibTeX
@article{abstractsofthet-2024/9,
title={Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary.},
author={Karim J, Lander J, Men Q, Ahuja R, Noble A et al.},
journal={Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology},
volume={64 Suppl 1},
pages={116},
year = "2024"
}
Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary.
Hernandez-Cruz N, Patey O, Adu-Bredu T, D'Alberti E, Noble JA et al. (2024), Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 64 Suppl 1, 62-63
BibTeX
@article{abstractsofthet-2024/9,
title={Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15-18 September 2024, Budapest, Hungary.},
author={Hernandez-Cruz N, Patey O, Adu-Bredu T, D'Alberti E, Noble JA et al.},
journal={Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology},
volume={64 Suppl 1},
pages={62-63},
year = "2024"
}
Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation
Men Q, Guo X, Papageorghiou AT & Noble JA (2024)
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis
Hernandez-Cruz N, Saha P, Sarker MMK & Noble JA (2024), Big Data and Cognitive Computing, 8(9), 99-99
BibTeX
@article{reviewoffederat-2024/8,
title={Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis},
author={Hernandez-Cruz N, Saha P, Sarker MMK & Noble JA},
journal={Big Data and Cognitive Computing},
volume={8},
pages={99-99},
publisher={MDPI},
year = "2024"
}
Audio-visual modelling in a clinical setting
Jiao J, Alsharid M, Drukker L, Papageorghiou AT, Zisserman A et al. (2024), Scientific Reports, 14(1)
Statistical Characterisation of Fetal Anatomy in Simple Obstetric Ultrasound Video Sweeps.
Gleed AD, Mishra D, Self A, Thiruvengadam R, Desiraju BK et al. (2024), Ultrasound in medicine & biology, 50(7), 985-993
BibTeX
@article{statisticalchar-2024/7,
title={Statistical Characterisation of Fetal Anatomy in Simple Obstetric Ultrasound Video Sweeps.},
author={Gleed AD, Mishra D, Self A, Thiruvengadam R, Desiraju BK et al.},
journal={Ultrasound in medicine & biology},
volume={50},
pages={985-993},
year = "2024"
}
IterMask2: iterative unsupervised anomaly segmentation via spatial and frequency masking for brain lesions in MRI
Liang Z, Guo X, Noble JA & Kamnitsas K (2024)
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Wagner F, Xu W, Saha P, Liang Z, Whitehouse D et al. (2024)
Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.
Bowness JS, James K, Yarlett L, Htyn M, Fisher E et al. (2024), British journal of anaesthesia, 132(5), 1173-1175
BibTeX
@article{assistiveartifi-2024/5,
title={Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.},
author={Bowness JS, James K, Yarlett L, Htyn M, Fisher E et al.},
journal={British journal of anaesthesia},
volume={132},
pages={1173-1175},
year = "2024"
}
Zoom is Meaningful: Discerning Ultrasound Images' Zoom Levels.
Alsharid M, Yasrab R, Sarker M, Drukker L, Papageorghiou AT et al. (2024), Proceedings. IEEE International Symposium on Biomedical Imaging, 2024, 1-5
Dual Representation Learning From Fetal Ultrasound Video And Sonographer Audio.
Gridach M, Alsharid M, Jiao J, Drukker L, Papageorghiou AT et al. (2024), Proceedings. IEEE International Symposium on Biomedical Imaging, 2024, 1-4
Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors
Nicolson A, Schut L, Noble JA & Gal Y (2024)
The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review
Ockenden ES, Frischer SR, Cheng H, Noble JA & Chami GF (2024), PLoS Neglected Tropical Diseases, 18(3)
BibTeX
@article{theroleofpointo-2024/3,
title={The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review},
author={Ockenden ES, Frischer SR, Cheng H, Noble JA & Chami GF},
journal={PLoS Neglected Tropical Diseases},
volume={18},
number={e0012033},
publisher={Public Library of Science},
year = "2024"
}
Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines
Bowness JS, Metcalfe D, El-Boghdadly K, Thurley N, Morecroft M et al. (2024), British Journal of Anaesthesia, 132(5), 1049-1062
BibTeX
@article{artificialintel-2024/3,
title={Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines},
author={Bowness JS, Metcalfe D, El-Boghdadly K, Thurley N, Morecroft M et al.},
journal={British Journal of Anaesthesia},
volume={132},
pages={1049-1062},
publisher={Elsevier},
year = "2024"
}
Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound
Yasrab R, Zhao H, Fu Z, Drukker L, Papageorghiou A et al. (2024), Ultrasound in Medicine and Biology, 50(6), 805-816
BibTeX
@article{automatingthehu-2024/3,
title={Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound},
author={Yasrab R, Zhao H, Fu Z, Drukker L, Papageorghiou A et al.},
journal={Ultrasound in Medicine and Biology},
volume={50},
pages={805-816},
publisher={Elsevier},
year = "2024"
}
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection
Saha P, Mishra D, Wagner F, Kamnitsas K & Noble JA (2024)
Semi-weakly-supervised neural network training for medical image registration
Li Y, Fu Y, Gayo IJMB, Yang Q, Min Z et al. (2024)
Prospective randomized evaluation of the sustained impact of assistive artificial intelligence on anesthetists' ultrasound scanning for regional anesthesia.
Kowa C-Y, Morecroft M, Macfarlane AJR, Burckett-St Laurent D, Pawa A et al. (2024), BMJ surgery, interventions, & health technologies, 6(1), e000264
BibTeX
@article{prospectiverand-2024/1,
title={Prospective randomized evaluation of the sustained impact of assistive artificial intelligence on anesthetists' ultrasound scanning for regional anesthesia.},
author={Kowa C-Y, Morecroft M, Macfarlane AJR, Burckett-St Laurent D, Pawa A et al.},
journal={BMJ surgery, interventions, & health technologies},
volume={6},
pages={e000264},
year = "2024"
}
An Automated Pipeline for the Identification of Liver Tissue in Ultrasound Video
Ockenden E, Mpooya S, Noble A & Chami G (2024)