Publications
Publications
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 AS, Nagtegaal ID et al. (2026), Cancer Epidemiology, 103
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 AS, Nagtegaal ID et al.},
journal={Cancer Epidemiology},
volume={103},
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"
}
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)
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
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)
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"
}
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"
}
Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors.
Xu Z, Li B, Hu Y, Zhang C, East J et al. (2026), IEEE Trans Med Imaging, PP
118 (PB-118) Poster Combining MRI and Biological Risk in Premenopausal Women
Cox A, Bulte D & Brady M (2026), European Journal of Cancer, 237, 116386
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"
}
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)
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)
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"
}
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
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},
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 LNCS, 316-325
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"
}
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
CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation
Albokhari R, Debnath B, Henry D, Johnson M, Bailey A et al. (2026), 319-329
Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints
Dawood M, Thomas E, Cooper R, Pescia C, Sozanska A et al. (2026), 15970, 603-612
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"
}
Redefining the topology of the human bone marrow using augmented spatial transcriptomic analysis
Cooper RA, Thomas E, Dawood M, Ryou H, Sozanska A et al. (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"
}
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
Toward precision pathology: Deep learning supported fibrosis grading augments performance of international hematopathologists in a large real-world cohort
Ebsworth T, Ruane S, Bhardwaj N, Cooper R, Green A et al. (2025), Blood, 146(Supplement 1), 4335-4335
BibTeX
@article{towardprecision-2025/11,
title={Toward precision pathology: Deep learning supported fibrosis grading augments performance of international hematopathologists in a large real-world cohort},
author={Ebsworth T, Ruane S, Bhardwaj N, Cooper R, Green A et al.},
journal={Blood},
volume={146},
pages={4335-4335},
publisher={American Society of Hematology},
year = "2025"
}
Histology-informed tiling of whole tissue sections improves the interpretability and predictability of cancer relapse and genetic alterations
Bonnaffé W, Hu Y, Chatrian A, Fan M, Malacrino S et al. (2025)
BibTeX
@misc{histologyinform-2025/11,
title={Histology-informed tiling of whole tissue sections improves the interpretability and predictability of cancer relapse and genetic alterations},
author={Bonnaffé W, Hu Y, Chatrian A, Fan M, Malacrino S et al.},
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"
}
EXABS-184-MPN: Refining Diagnosis, Prognosis, and Management of MPNs With AI/ML
Cooper R, Thomas E, Hu X, Muhammad D, Ryou H et al. (2025), Clinical Lymphoma Myeloma & Leukemia, 25, s85-s86
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. (2025)