Showing 50 publications by Alison Noble, Vicente Grau Colomer, Daniel Bulte
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)
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"
}
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
BibTeX
@article{accuracyofdiagn-2026/5,
title={Accuracy of Diagnosis in Myeloproliferative Neoplasms With Splanchnic Vein Thrombosis (MPN‐SVT)},
author={Sreedhar BR, Ryou H, O'Riordan A, Hargreaves R, Chauhan N et al.},
journal={American Journal of Hematology},
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)
BibTeX
@misc{alowcostmicroco-2026/5,
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.},
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"
}
Patchsurg: Leveraging Synthetic Datasets for High-Fidelity Depth Estimation in Surgery
Xu Z, Zhang C, Rittscher J & Ali S (2026), 00, 1-5
BibTeX
@inproceedings{patchsurglevera-2026/4,
title={Patchsurg: Leveraging Synthetic Datasets for High-Fidelity Depth Estimation in Surgery},
author={Xu Z, Zhang C, Rittscher J & Ali S},
booktitle={2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)},
pages={1-5},
year = "2026"
}
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
BibTeX
@article{selfsupervisedm-2026/3,
title={Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors.},
author={Xu Z, Li B, Hu Y, Zhang C, East J et al.},
journal={IEEE Trans Med Imaging},
volume={PP},
year = "2026"
}
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
BibTeX
@inproceedings{pbpostercombini-2026/3,
title={118 (PB-118) Poster Combining MRI and Biological Risk in Premenopausal Women},
author={Cox A, Bulte D & Brady M},
pages={116386},
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"
}
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"
}
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"
}
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
BibTeX
@inproceedings{latentmotionpro-2026/1,
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"
}
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
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},
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), 319-329
BibTeX
@misc{ctrlendodiffdif-2026/,
title={CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation},
author={Albokhari R, Debnath B, Henry D, Johnson M, Bailey A et al.},
year = "2026"
}
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
BibTeX
@misc{unsuperviseddis-2026/,
title={Unsupervised Discovery of Spatiotypes and Context-Aware Graph Neural Networks for Modeling Clinical Endpoints},
author={Dawood M, Thomas E, Cooper R, Pescia C, Sozanska A et al.},
year = "2026"
}
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)
BibTeX
@misc{redefiningtheto-2025/12,
title={Redefining the topology of the human bone marrow using augmented spatial transcriptomic analysis},
author={Cooper RA, Thomas E, Dawood M, Ryou H, Sozanska A et al.},
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"
}
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},
year = "2025"
}
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
BibTeX
@article{exabsmpnrefinin-2025/9,
title={EXABS-184-MPN: Refining Diagnosis, Prognosis, and Management of MPNs With AI/ML},
author={Cooper R, Thomas E, Hu X, Muhammad D, Ryou H et al.},
journal={Clinical Lymphoma Myeloma & Leukemia},
volume={25},
pages={s85-s86},
year = "2025"
}
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)
BibTeX
@inproceedings{decodingfibrosi-2025/9,
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.},
year = "2025"
}
Transcranial Doppler ultrasound validation of BOLD-fMRI cerebral blood flow relationship.
Hayes G, Pinto J, Sparks S & Bulte DP (2025), Magnetic resonance in medicine
BibTeX
@article{transcranialdop-2025/9,
title={Transcranial Doppler ultrasound validation of BOLD-fMRI cerebral blood flow relationship.},
author={Hayes G, Pinto J, Sparks S & Bulte DP},
journal={Magnetic resonance in medicine},
year = "2025"
}
HarmonicEchoNet: Leveraging harmonic convolutions for automated standard plane detection in fetal heart ultrasound videos.
Sarker MMK, Mishra D, Alsharid M, Hernandez-Cruz N, Ahuja R et al. (2025), Med Image Anal, 106, 103758
BibTeX
@article{harmonicechonet-2025/8,
title={HarmonicEchoNet: Leveraging harmonic convolutions for automated standard plane detection in fetal heart ultrasound videos.},
author={Sarker MMK, Mishra D, Alsharid M, Hernandez-Cruz N, Ahuja R et al.},
journal={Med Image Anal},
volume={106},
pages={103758},
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"
}
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"
}
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"
}
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"
}
Artificial Intelligence Image-Diagnosis for Female Genital Schistosomiasis
Zhu J, Noble JA & Gomes M (2025), Mayo Clinic Proceedings Digital Health, 3(3), 100245
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},
pages={100245},
publisher={Elsevier},
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"
}
F3OCUS - 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. (2025), 00, 20006-20017
BibTeX
@inproceedings{focusfederatedf-2025/6,
title={F3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics},
author={Saha P, Wagner F, Mishra D, Peng C, Thakur A et al.},
booktitle={2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages={20006-20017},
year = "2025"
}
Models of Cerebrovascular Reactivity in BOLD-fMRI and Transcranial Doppler Ultrasound.
Hayes G, Sparks S, Bulte DP & Pinto J (2025), Journal of applied physiology (Bethesda, Md. : 1985)
BibTeX
@article{modelsofcerebro-2025/6,
title={Models of Cerebrovascular Reactivity in BOLD-fMRI and Transcranial Doppler Ultrasound.},
author={Hayes G, Sparks S, Bulte DP & Pinto J},
journal={Journal of applied physiology (Bethesda, Md. : 1985)},
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-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-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"
}
Delineating Mpl-dependent and -independent phenotypes of Jak2 V617F- positive MPNs in vivo
Papadopoulos N, Nédélec A, Rahmani Y, Ryou H, Defour J-P et al. (2025), Blood
BibTeX
@article{delineatingmpld-2025/5,
title={Delineating Mpl-dependent and -independent phenotypes of Jak2 V617F- positive MPNs in vivo},
author={Papadopoulos N, Nédélec A, Rahmani Y, Ryou H, Defour J-P et al.},
journal={Blood},
publisher={American Society of Hematology},
year = "2025"
}
Synergies Among Clinicians, Academia, and Industry in the Age of Artificial Intelligence.
Byrne MF, Rittscher J & East JE (2025), Gastroenterology, S0016-5085(25)00762-0
BibTeX
@article{synergiesamongc-2025/5,
title={Synergies Among Clinicians, Academia, and Industry in the Age of Artificial Intelligence.},
author={Byrne MF, Rittscher J & East JE},
journal={Gastroenterology},
pages={S0016-5085(25)00762-0},
year = "2025"
}
Decoding fibrosis: transcriptomic and clinical insights via AI-derived collagen clusters in MASLD
Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al. (2025), Abstract Book of European Association for the Study of the Liver (EASL) Congress 2025, 82(Supplement 1)
BibTeX
@article{decodingfibrosi-2025/5,
title={Decoding fibrosis: transcriptomic and clinical insights via AI-derived collagen clusters in MASLD},
author={Wojciechowska M, Thing M, Hu Y, Mazzoni G, Harder LM et al.},
journal={Abstract Book of European Association for the Study of the Liver (EASL) Congress 2025},
volume={82},
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"
}