Showing 782 publications by Alison Noble
Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video
Kwon J, Jiao J, Self A, Papageorghiou A & Noble JA (2027), 16896, 630-640
BibTeX
@misc{visualquerycurr-2027/,
title={Visual-Query Curriculum Learning for Rare Fetal Biometry Plane Detection in Blind-Sweep Ultrasound Video},
author={Kwon J, Jiao J, Self A, Papageorghiou A & Noble JA},
year = "2027"
}
Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography
Yang Y, Yang Q, Peng C, Salovic B, D’Alberti E et al. (2027), 16886, 357-366
BibTeX
@misc{latentmotionspe-2027/,
title={Latent Motion Spectral Regularity for Congenital Heart Defect Screening in Fetal Echocardiography},
author={Yang Y, Yang Q, Peng C, Salovic B, D’Alberti E et al.},
year = "2027"
}
Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability
Li Q, Huang Y, Saeed SU, Yang Q, Stavrinides V et al. (2027), 16882, 325-335
BibTeX
@misc{interpretablepr-2027/,
title={Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability},
author={Li Q, Huang Y, Saeed SU, Yang Q, Stavrinides V et al.},
year = "2027"
}
Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration
Yang Q, Yang Y, Wang Y, Hu Y, Peng C et al. (2027), 16885, 66-75
BibTeX
@misc{anomalydetectio-2027/,
title={Anomaly Detection in Fetal Echocardiography via Cross-Modal Translation and Region-Discriminated Error Calibration},
author={Yang Q, Yang Y, Wang Y, Hu Y, Peng C et al.},
year = "2027"
}
FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance
Lamdouar H, Wang AF, Guo X, Men Q, Lander J et al. (2027), 16893, 190-199
BibTeX
@misc{focustowardsfet-2027/,
title={FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance},
author={Lamdouar H, Wang AF, Guo X, Men Q, Lander J et al.},
year = "2027"
}
Orientation-robust latent motion trajectory learning for annotation-free cardiac phase detection in fetal echocardiography
Yang Y, Yang Q, Peng C, D'Alberti E, Patey O et al. (2026), Medical Image Analysis, 114, 104288
BibTeX
@article{orientationrobu-2026/11,
title={Orientation-robust latent motion trajectory learning for annotation-free cardiac phase detection in fetal echocardiography},
author={Yang Y, Yang Q, Peng C, D'Alberti E, Patey O et al.},
journal={Medical Image Analysis},
volume={114},
pages={104288},
publisher={Elsevier},
year = "2026"
}
Integrating Social and Clinical Determinants of Pre‐Eclampsia: A Hierarchical Systematic Review and Conceptual Framework for Prevention
Kinshella MW, Bone JN, Elawad T, Mistry HD, Poye L et al. (2026), BJOG An International Journal of Obstetrics & Gynaecology, 133(Suppl 4), s43-s53
BibTeX
@article{integratingsoci-2026/9,
title={Integrating Social and Clinical Determinants of Pre‐Eclampsia: A Hierarchical Systematic Review and Conceptual Framework for Prevention},
author={Kinshella MW, Bone JN, Elawad T, Mistry HD, Poye L et al.},
journal={BJOG An International Journal of Obstetrics & Gynaecology},
volume={133},
pages={s43-s53},
publisher={Wiley},
year = "2026"
}
EP08.78: Divergent gestational trends of fetal echocardiographic biomarkers in congenital heart defects: data from the international multicenter CAIFE study
Patey O, Yang Y, Salovic B, D'Alberti E, Yang Q et al. (2026), Ultrasound in Obstetrics and Gynecology, 68, 240-241
BibTeX
@article{epdivergentgest-2026/9,
title={EP08.78: Divergent gestational trends of fetal echocardiographic biomarkers in congenital heart defects: data from the international multicenter CAIFE study},
author={Patey O, Yang Y, Salovic B, D'Alberti E, Yang Q et al.},
journal={Ultrasound in Obstetrics and Gynecology},
volume={68},
pages={240-241},
year = "2026"
}
EP08.32: Fetal echocardiographic biomarkers for prenatal prediction of major congenital heart defects: data from the international multicenter CAIFE study
Patey O, Yang Y, Salovic B, D'Alberti E, Yang Q et al. (2026), Ultrasound in Obstetrics and Gynecology, 68, 229-230
BibTeX
@article{epfetalechocard-2026/9,
title={EP08.32: Fetal echocardiographic biomarkers for prenatal prediction of major congenital heart defects: data from the international multicenter CAIFE study},
author={Patey O, Yang Y, Salovic B, D'Alberti E, Yang Q et al.},
journal={Ultrasound in Obstetrics and Gynecology},
volume={68},
pages={229-230},
year = "2026"
}
EP08.31: AI‐driven fetal echocardiography with color Doppler for detection congenital heart defects: data from the international multicenter CAIFE study
Yang Q, Patey O, Yang Y, Salovic B, D'Alberti E et al. (2026), Ultrasound in Obstetrics and Gynecology, 68, 229-229
BibTeX
@article{epaidrivenfetal-2026/9,
title={EP08.31: AI‐driven fetal echocardiography with color Doppler for detection congenital heart defects: data from the international multicenter CAIFE study},
author={Yang Q, Patey O, Yang Y, Salovic B, D'Alberti E et al.},
journal={Ultrasound in Obstetrics and Gynecology},
volume={68},
pages={229-229},
year = "2026"
}
EP08.07: Clinician vs AI prenatal prediction of the need for balloon atrial septostomy in transposition of the great arteries: multicenter CAIFE study data
Patey O, Yang Q, Yang Y, Salovic B, D'Alberti E et al. (2026), Ultrasound in Obstetrics and Gynecology, 68, 224-224
BibTeX
@article{epclinicianvsai-2026/9,
title={EP08.07: Clinician vs AI prenatal prediction of the need for balloon atrial septostomy in transposition of the great arteries: multicenter CAIFE study data},
author={Patey O, Yang Q, Yang Y, Salovic B, D'Alberti E et al.},
journal={Ultrasound in Obstetrics and Gynecology},
volume={68},
pages={224-224},
year = "2026"
}
OC05.06: AI analysis of cardiac motion patterns to detect fetal congenital heart defects: data from the international multicenter CAIFE study
Yang Y, Patey O, Yang Q, Salovic B, D'Alberti E et al. (2026), Ultrasound in Obstetrics and Gynecology, 68, 16-16
BibTeX
@article{ocaianalysisofc-2026/9,
title={OC05.06: AI analysis of cardiac motion patterns to detect fetal congenital heart defects: data from the international multicenter CAIFE study},
author={Yang Y, Patey O, Yang Q, Salovic B, D'Alberti E et al.},
journal={Ultrasound in Obstetrics and Gynecology},
volume={68},
pages={16-16},
year = "2026"
}
Determinants of Pre-Eclampsia: Advancing a Conceptual Framework.
Kinshella M-LW, Volvert M-L, Wilson M, Bone JN, Elawad T et al. (2026), BJOG, 133 Suppl 4(Suppl 4), S5-S7
BibTeX
@article{determinantsofp-2026/9,
title={Determinants of Pre-Eclampsia: Advancing a Conceptual Framework.},
author={Kinshella M-LW, Volvert M-L, Wilson M, Bone JN, Elawad T et al.},
journal={BJOG},
volume={133 Suppl 4},
pages={S5-S7},
year = "2026"
}
RACER: Role-Aligned Competence Estimation for Human-AI Routing
Strong J, Sun E, Capstick A, Saha P, Ouyang C et al. (2026)
BibTeX
@misc{racerrolealigne-2026/9,
title={RACER: Role-Aligned Competence Estimation for Human-AI Routing},
author={Strong J, Sun E, Capstick A, Saha P, Ouyang C et al.},
year = "2026"
}
Quality Action Assurance: Multimodal Verification of Examiner Claims in VR OSCEs
Rogers H, Shiels S, Tomlinson A, Thomas J, Aylward J et al. (2026)
BibTeX
@misc{qualityactionas-2026/7,
title={Quality Action Assurance: Multimodal Verification of Examiner Claims in VR OSCEs},
author={Rogers H, Shiels S, Tomlinson A, Thomas J, Aylward J et al.},
year = "2026"
}
DECAF: De-Clustering for Adaptive Representational Unlearning
Le A, Peng C, Guo H & Noble JA (2026)
BibTeX
@misc{decafdeclusteri-2026/7,
title={DECAF: De-Clustering for Adaptive Representational Unlearning},
author={Le A, Peng C, Guo H & Noble JA},
year = "2026"
}
FedExIT - Missing Class-agnostic Semi-Supervised Federated Learning with Extreme Imbalance Tackling Scheme
Saha P, Mishra D, Wagner F, Kamnitsas K & Noble JA (2026), Information Fusion, 130, 104080-104080
BibTeX
@article{fedexitmissingc-2026/6,
title={FedExIT - Missing Class-agnostic Semi-Supervised Federated Learning with Extreme Imbalance Tackling Scheme},
author={Saha P, Mishra D, Wagner F, Kamnitsas K & Noble JA},
journal={Information Fusion},
volume={130},
pages={104080-104080},
publisher={Elsevier},
year = "2026"
}
Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability
Li Q, Huang Y, Saeed SU, Yang Q, Stavrinides V et al. (2026)
BibTeX
@misc{interpretablepr-2026/6,
title={Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability},
author={Li Q, Huang Y, Saeed SU, Yang Q, Stavrinides V et al.},
year = "2026"
}
Incidence and risk factors for stillbirth in Kenya, Mozambique and the Gambia: the PRECISE cohort study
Mwashigadi G, Akuze J, Koech A, Jah H, Roca A et al. (2026), 100089
BibTeX
@article{incidenceandris-2026/6,
title={Incidence and risk factors for stillbirth in Kenya, Mozambique and the Gambia: the PRECISE cohort study},
author={Mwashigadi G, Akuze J, Koech A, Jah H, Roca A et al.},
journal={},
pages={100089},
year = "2026"
}
Thinking & Doing Science in the Age of AI
Noble A (2026), Daedalus, 155(1-2), 306-315
BibTeX
@article{thinkingdoingsc-2026/6,
title={Thinking & Doing Science in the Age of AI},
author={Noble A},
journal={Daedalus},
volume={155},
pages={306-315},
publisher={MIT Press},
year = "2026"
}
SchistoTrackNet: machine learning for diagnosis of schistosomiasis-associated periportal fibrosis from ultrasound images
Ockenden E, Anguajibi V, Mpooya S, Ntegeka B, Mugume T et al. (2026)
BibTeX
@misc{schistotracknet-2026/6,
title={SchistoTrackNet: machine learning for diagnosis of schistosomiasis-associated periportal fibrosis from ultrasound images},
author={Ockenden E, Anguajibi V, Mpooya S, Ntegeka B, Mugume T et al.},
year = "2026"
}
SchistoTrackVideoNet: multilabel deep learning-based classification of schistosomal periportal fibrosis from ultrasound video
Ockenden E, Anguajibi V, Mpooya S, Ntegeka B, Mugume T et al. (2026)
BibTeX
@misc{schistotrackvid-2026/6,
title={SchistoTrackVideoNet: multilabel deep learning-based classification of schistosomal periportal fibrosis from ultrasound video},
author={Ockenden E, Anguajibi V, Mpooya S, Ntegeka B, Mugume T et al.},
year = "2026"
}
Human-AI Collaboration in Healthcare: A Scoping Review
Strong J, Rogers H, Sun E, Todsen AL, Ede J et al. (2026), npj Digital Medicine
BibTeX
@article{humanaicollabor-2026/6,
title={Human-AI Collaboration in Healthcare: A Scoping Review},
author={Strong J, Rogers H, Sun E, Todsen AL, Ede J et al.},
journal={npj Digital Medicine},
publisher={Springer Nature},
year = "2026"
}
SARS-CoV-2 seroprevalence among pregnant women during the first three waves of the COVID-19 pandemic in southern Mozambique
Sevene E, Maculuve S, Tchavana C, Valá A, Quimice L et al. (2026), BMC Pregnancy and Childbirth
BibTeX
@article{sarscovseroprev-2026/5,
title={SARS-CoV-2 seroprevalence among pregnant women during the first three waves of the COVID-19 pandemic in southern Mozambique},
author={Sevene E, Maculuve S, Tchavana C, Valá A, Quimice L et al.},
journal={BMC Pregnancy and Childbirth},
publisher={Springer Nature},
year = "2026"
}
Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning
Liu Y, Peng C, Yang Y, Yang Q, Ouyang C et al. (2026)
BibTeX
@misc{segmentationdet-2026/5,
title={Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning},
author={Liu Y, Peng C, Yang Y, Yang Q, Ouyang C et al.},
year = "2026"
}
Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
Strong J, Saha P, Sun E, Higham H & Noble A (2026)
BibTeX
@misc{coherenthierarc-2026/5,
title={Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging},
author={Strong J, Saha P, Sun E, Higham H & Noble A},
year = "2026"
}
View-Guided Multi-Task Learning for Fetal Cardiac Segmentation and CHD Classification
Yang Y, Yang Q, Peng C, Liu Y & Noble JA (2026), 00, 01-05
BibTeX
@inproceedings{viewguidedmulti-2026/4,
title={View-Guided Multi-Task Learning for Fetal Cardiac Segmentation and CHD Classification},
author={Yang Y, Yang Q, Peng C, Liu Y & Noble JA},
booktitle={2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)},
pages={01-05},
year = "2026"
}
Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew
Peng C, Liu Y, Yang Y, Saha P, Yang Q et al. (2026)
BibTeX
@misc{neuralcollapsei-2026/3,
title={Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew},
author={Peng C, Liu Y, Yang Y, Saha P, Yang Q et al.},
year = "2026"
}
“Now that the baby is out, I can be vaccinated”: a qualitative study on COVID-19 vaccine hesitancy in pregnant women in Kilifi, Kenya
Koech A, Wanje O, Mwashigadi G, Katana G, Mdindi R et al. (2026), Frontiers in Public Health, 14, 1730282-1730282
BibTeX
@article{nowthatthebabyi-2026/2,
title={“Now that the baby is out, I can be vaccinated”: a qualitative study on COVID-19 vaccine hesitancy in pregnant women in Kilifi, Kenya},
author={Koech A, Wanje O, Mwashigadi G, Katana G, Mdindi R et al.},
journal={Frontiers in Public Health},
volume={14},
pages={1730282-1730282},
publisher={Frontiers Media},
year = "2026"
}
Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography
Yang Y, Yang Q, Peng C, D'Alberti E, Patey O et al. (2026)
BibTeX
@misc{orientationrobu-2026/2,
title={Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography},
author={Yang Y, Yang Q, Peng C, D'Alberti E, Patey O et al.},
year = "2026"
}
Picking the Right Specialist: Attentive Neural Process-based Selection of Task-Specialized Models as Tools for Agentic Healthcare Systems
Saha P, Strong J, Alsharid M, Mishra D & Noble JA (2026)
BibTeX
@misc{pickingtheright-2026/2,
title={Picking the Right Specialist: Attentive Neural Process-based Selection of Task-Specialized Models as Tools for Agentic Healthcare Systems},
author={Saha P, Strong J, Alsharid M, Mishra D & Noble JA},
year = "2026"
}
Experience-Guided Self-Adaptive Cascaded Agents for Breast Cancer Screening and Diagnosis with Reduced Biopsy Referrals
Saha P, Alsharid M, Strong J & Noble JA (2026)
BibTeX
@misc{experienceguide-2026/2,
title={Experience-Guided Self-Adaptive Cascaded Agents for Breast Cancer Screening and Diagnosis with Reduced Biopsy Referrals},
author={Saha P, Alsharid M, Strong J & Noble JA},
year = "2026"
}
U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
Le A, Liu H, Wang Y, Liu Z, Zhu R et al. (2026)
BibTeX
@misc{ubenchbenchmark-2026/2,
title={U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding},
author={Le A, Liu H, Wang Y, Liu Z, Zhu R et al.},
year = "2026"
}
A visually grounded language model for fetal ultrasound understanding
Guo X, Alsharid M, Zhao H, Wang Y, Lander J et al. (2026), Nature Biomedical Engineering, 1-17
BibTeX
@article{avisuallyground-2026/1,
title={A visually grounded language model for fetal ultrasound understanding},
author={Guo X, Alsharid M, Zhao H, Wang Y, Lander J et al.},
journal={Nature Biomedical Engineering},
pages={1-17},
publisher={Springer Science and Business Media LLC},
year = "2026"
}
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 AT et al. (2026), Lecture Notes in Computer Science, 15966 LNCS, 560-571
BibTeX
@inproceedings{selfsupervisedn-2026/1,
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 AT et al.},
pages={560-571},
year = "2026"
}
Latent Motion Profiling for Annotation-Free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
Yang Y, Yang Q, Cui K, Peng C, D’Alberti E et al. (2026), Lecture Notes in Computer Science, 15973, 316-325
BibTeX
@inproceedings{latentmotionpro-2026/,
title={Latent Motion Profiling for Annotation-Free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos},
author={Yang Y, Yang Q, Cui K, Peng C, D’Alberti E et al.},
pages={316-325},
year = "2026"
}
Neural Collapse-Inspired Multi-label Federated Learning Under Label-Distribution Skew
Peng C, Liu Y, Yang Y, Saha P, Yang Q et al. (2026), 17026, 249-267
BibTeX
@misc{neuralcollapsei-2026/,
title={Neural Collapse-Inspired Multi-label Federated Learning Under Label-Distribution Skew},
author={Peng C, Liu Y, Yang Y, Saha P, Yang Q et al.},
year = "2026"
}
HarmonicEchoNet: Leveraging harmonic convolutions for automated standard plane detection in fetal heart ultrasound videos
Sarker MK, Mishra D, Alsharid M, Hernandez-Cruz N, Ahuja R et al. (2025), Medical Image Analysis, 106, 103758
BibTeX
@article{harmonicechonet-2025/12,
title={HarmonicEchoNet: Leveraging harmonic convolutions for automated standard plane detection in fetal heart ultrasound videos},
author={Sarker MK, Mishra D, Alsharid M, Hernandez-Cruz N, Ahuja R et al.},
journal={Medical Image Analysis},
volume={106},
pages={103758},
publisher={Elsevier},
year = "2025"
}
Learning to learn skill assessment for fetal ultrasound scanning
Wang Y, Yang Q, Drukker L, Papageorghiou AT, Hu Y et al. (2025)
BibTeX
@misc{learningtolearn-2025/12,
title={Learning to learn skill assessment for fetal ultrasound scanning},
author={Wang Y, Yang Q, Drukker L, Papageorghiou AT, Hu Y et al.},
year = "2025"
}
Machine learning-based method for the detection of dextrocardia in ultrasound video clips
Hernandez-Cruz N, Patey O, Salovic B, Papageorghiou A & Noble JA (2025), Computer Methods and Programs in Biomedicine, 271, 109023
BibTeX
@article{machinelearning-2025/11,
title={Machine learning-based method for the detection of dextrocardia in ultrasound video clips},
author={Hernandez-Cruz N, Patey O, Salovic B, Papageorghiou A & Noble JA},
journal={Computer Methods and Programs in Biomedicine},
volume={271},
pages={109023},
publisher={Elsevier},
year = "2025"
}
On the public dissemination and open sourcing of ultrasound resources, datasets and deep learning models
Alsharid M, Guo X, Men Q, Saha P, Mishra D et al. (2025), npj Digital Medicine
BibTeX
@article{onthepublicdiss-2025/11,
title={On the public dissemination and open sourcing of ultrasound resources, datasets and deep learning models},
author={Alsharid M, Guo X, Men Q, Saha P, Mishra D et al.},
journal={npj Digital Medicine},
publisher={Springer Nature},
year = "2025"
}
The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance.
Nicolson A, Bradburn E, Gal Y, Papageorghiou AT & Noble JA (2025), NPJ Digit Med, 8(1), 658
BibTeX
@article{thehumanfactori-2025/11,
title={The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance.},
author={Nicolson A, Bradburn E, Gal Y, Papageorghiou AT & Noble JA},
journal={NPJ Digit Med},
volume={8},
pages={658},
year = "2025"
}
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
Zhu J, Wu J, Ouyang C, Kamnitsas K & Noble JA (2025), 23731-23740
BibTeX
@inproceedings{spaefficientuse-2025/10,
title={SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation},
author={Zhu J, Wu J, Ouyang C, Kamnitsas K & Noble JA},
booktitle={2025 IEEE/CVF International Conference on Computer Vision (ICCV)},
pages={23731-23740},
year = "2025"
}
IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI
Liang Z, Guo X, Xu W, Ibrahim Y, Voets N et al. (2025), Medical Image Analysis, 103763
BibTeX
@article{itermaskdunsupe-2025/8,
title={IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI},
author={Liang Z, Guo X, Xu W, Ibrahim Y, Voets N et al.},
journal={Medical Image Analysis},
pages={103763},
publisher={Elsevier},
year = "2025"
}
Placental transfer of SARS-CoV-2 antibodies in mother-neonate pairs: a prospective nested cohort study
Mugo AG, Koech A, Cantrell L, Mukhanya M, Mwaniki I et al. (2025), BMC Infectious Diseases, 25(1)
BibTeX
@article{placentaltransf-2025/7,
title={Placental transfer of SARS-CoV-2 antibodies in mother-neonate pairs: a prospective nested cohort study},
author={Mugo AG, Koech A, Cantrell L, Mukhanya M, Mwaniki I et al.},
journal={BMC Infectious Diseases},
volume={25},
number={875},
publisher={BioMed Central},
year = "2025"
}
Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
Yang Y, Yang Q, Cui K, Peng C, D'Alberti E et al. (2025)
BibTeX
@misc{latentmotionpro-2025/7,
title={Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos},
author={Yang Y, Yang Q, Cui K, Peng C, D'Alberti E et al.},
year = "2025"
}
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)
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},
number={bmjopen-2025-101263},
publisher={BMJ Publishing Group},
year = "2025"
}
Artificial Intelligence Image-Diagnosis for Female Genital Schistosomiasis
Zhu J, Noble JA & Gomes M (2025), Mayo Clinic Proceedings: Digital Health, 3(3)
BibTeX
@article{artificialintel-2025/6,
title={Artificial Intelligence Image-Diagnosis for Female Genital Schistosomiasis},
author={Zhu J, Noble JA & Gomes M},
journal={Mayo Clinic Proceedings: Digital Health},
volume={3},
publisher={Elsevier},
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"
}
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Wagner F, Saha P, Anthony H, Noble JA & Kamnitsas K (2025)
BibTeX
@misc{disondecentrali-2025/6,
title={DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging},
author={Wagner F, Saha P, Anthony H, Noble JA & Kamnitsas K},
year = "2025"
}