Showing 1282 publications by Alison Noble, Vicente Grau Colomer, Jens Rittscher, Daniel Bulte
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
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
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
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
FOCUS: Towards Fetal Obstetric Corrective UltraSound Guidance
Lamdouar H, Wang AF, Guo X, Men Q, Lander J et al. (2027), 16893, 190-199
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"
}
Clinical evaluation of AI-assisted quantitative marrow fibrosis assessment using Continuous Indexing of Fibrosis (CIF)
Ruane S, Cooper RA, Pescia C, Bhardwaj N, Green A et al. (2026), Leukemia, 1-9
BibTeX
@article{clinicalevaluat-2026/9,
title={Clinical evaluation of AI-assisted quantitative marrow fibrosis assessment using Continuous Indexing of Fibrosis (CIF)},
author={Ruane S, Cooper RA, Pescia C, Bhardwaj N, Green A et al.},
journal={Leukemia},
pages={1-9},
publisher={Springer Nature},
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
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"
}
A Low‐Cost, Microcontroller‐Based Gas Delivery System for Respiratory Stimuli in MRI Studies
Blockley NP, Alzaidi AA, Milbourn CC, Bulte DP, Rudgewick‐Brown A et al. (2026), Magnetic Resonance in Medicine
BibTeX
@article{alowcostmicroco-2026/8,
title={A Low‐Cost, Microcontroller‐Based Gas Delivery System for Respiratory Stimuli in MRI Studies},
author={Blockley NP, Alzaidi AA, Milbourn CC, Bulte DP, Rudgewick‐Brown A et al.},
journal={Magnetic Resonance in Medicine},
publisher={Wiley},
year = "2026"
}
Epigenetic modulation of stromal cell states underpins pathological tissue niches in Crohn’s disease
Koplev S, Sharma O, Woelfel S, Huang N, Pohin M et al. (2026), Nature Immunology, 1-15
BibTeX
@article{epigeneticmodul-2026/8,
title={Epigenetic modulation of stromal cell states underpins pathological tissue niches in Crohn’s disease},
author={Koplev S, Sharma O, Woelfel S, Huang N, Pohin M et al.},
journal={Nature Immunology},
pages={1-15},
publisher={Springer Science and Business Media LLC},
year = "2026"
}
Image-based consensus molecular subtypes and colon cancer recurrence: Understanding the impact of lifestyle factors across subtypes of colon cancer
Wesselink E, Kok DE, Lafarge MW, van Lanen A-S, Nagtegaal ID et al. (2026), Cancer Epidemiology, 103, 103120
BibTeX
@article{imagebasedconse-2026/8,
title={Image-based consensus molecular subtypes and colon cancer recurrence: Understanding the impact of lifestyle factors across subtypes of colon cancer},
author={Wesselink E, Kok DE, Lafarge MW, van Lanen A-S, Nagtegaal ID et al.},
journal={Cancer Epidemiology},
volume={103},
pages={103120},
publisher={Elsevier},
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)
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"
}
Decoding fibrosis: transcriptomic and clinical insights via AI-derived collagen deposition phenotypes in MASLD
Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al. (2026), Hepatology
BibTeX
@article{decodingfibrosi-2026/6,
title={Decoding fibrosis: transcriptomic and clinical insights via AI-derived collagen deposition phenotypes in MASLD},
author={Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al.},
journal={Hepatology},
publisher={Lippincott, Williams & Wilkins},
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)
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
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)
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)
Human-AI Collaboration in Healthcare: A Scoping Review
Strong J, Rogers H, Sun E, Todsen AL, Ede J et al. (2026), npj Digital Medicine
Accuracy of Diagnosis in Myeloproliferative Neoplasms With Splanchnic Vein Thrombosis (MPN‐SVT)
Sreedhar BR, Ryou H, O'Riordan A, Hargreaves R, Chauhan N et al. (2026), American Journal of Hematology
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)
Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
Strong J, Saha P, Sun E, Higham H & Noble A (2026)
Patchsurg: Leveraging Synthetic Datasets for High-Fidelity Depth Estimation in Surgery
Xu Z, Zhang C, Rittscher J & Ali S (2026), 00, 1-5
Distilling Knowledge from Multiple Foundation Models for Accurate and Efficient Spatial Gene Expression Prediction
Li Z, Li B, Hu Y, Rittscher J & Verrill C (2026), 00, 1-4
BibTeX
@inproceedings{distillingknowl-2026/4,
title={Distilling Knowledge from Multiple Foundation Models for Accurate and Efficient Spatial Gene Expression Prediction},
author={Li Z, Li B, Hu Y, Rittscher J & Verrill C},
booktitle={2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)},
pages={1-4},
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"
}
Combining MRI and biological risk in premenopausal women
Cox A, Bulte D & Brady M (2026), European Journal of Cancer, 237(S1), 56-57
Self-supervised monocular depth and pose estimation for endoscopy with latent priors
Xu Z, Li B, Hu Y, Zhang CY, East J et al. (2026), IEEE Transactions on Medical Imaging
Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew
Peng C, Liu Y, Yang Y, Saha P, Yang Q et al. (2026)
Toward Integration of Molecular Measures and Artificial Intelligence-Based Assessments With Clinical End Points in Inflammatory Bowel Disease
Reinisch W, Rittscher J, Iacucci M, Travis S & Friedrich M (2026), Gastroenterology, S0016-5085(25)06588
BibTeX
@article{towardintegrati-2026/2,
title={Toward Integration of Molecular Measures and Artificial Intelligence-Based Assessments With Clinical End Points in Inflammatory Bowel Disease},
author={Reinisch W, Rittscher J, Iacucci M, Travis S & Friedrich M},
journal={Gastroenterology},
pages={S0016-5085(25)06588},
publisher={Elsevier},
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)
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)
U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
Le A, Liu H, Wang Y, Liu Z, Zhu R et al. (2026)
Chemo-prAIdict Breast: A deep learning solution for predicting residual disease on biopsies of breast cancer patients treated with neoadjuvant chemotherapy
Valderrama NF, Morel L-O, Mweze DT, Derangère V, Desmoulins I et al. (2026), European Journal of Cancer, 234, 116222
BibTeX
@article{chemopraidictbr-2026/2,
title={Chemo-prAIdict Breast: A deep learning solution for predicting residual disease on biopsies of breast cancer patients treated with neoadjuvant chemotherapy},
author={Valderrama NF, Morel L-O, Mweze DT, Derangère V, Desmoulins I et al.},
journal={European Journal of Cancer},
volume={234},
pages={116222},
publisher={Elsevier},
year = "2026"
}
The Relationship between Hippocampal Cerebrovascular Reactivity and Brain Structure in Older Age
Wang C, Jobbins L, Reid G, Hobden G, Patel R et al. (2026), Human Brain Mapping, 47(3)
BibTeX
@article{therelationship-2026/1,
title={The Relationship between Hippocampal Cerebrovascular Reactivity and Brain Structure in Older Age},
author={Wang C, Jobbins L, Reid G, Hobden G, Patel R et al.},
journal={Human Brain Mapping},
volume={47},
number={e70445},
publisher={Wiley},
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"
}
CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation
Albokhari R, Debnath B, Henry D, Johnson M, Bailey A et al. (2026), 16128, 319-329
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