Biomedical Image Analysis
Research
Impact
Biomedical Image Analysis Publications
From Transthoracic to Transesophageal: Cross-Modality Generation Using LoRA Diffusion
Oladokun E,  Ou Y,  Novikova A,  Kulikova D,  Thomas S,  Šprem J,  Grau V,  et al. (2026)
CtrlEndoDiff: Diffusion-Based Synthetic Image Generation for Enhanced ACF Segmentation
Albokhari R,  Debnath B,  Henry D,  Johnson M,  Bailey A,  East JE,  Rittscher J,  et al. (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,  Ryou H,  Royston D,  Rittscher J,  et al. (2026)
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
Pan J,  Liu C,  Wu J,  Liu F,  Zhu J,  Li HB,  Chen C,  Ouyang C,  Rueckert D,  et al. (2026)
Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins
Liu X,  Sheng X,  Zhuang X,  Grau V,  Chan MY,  Sia C-H,  Li L,  et al. (2026)
Preface
Sudre CH,  Hoque MI,  Mehta R,  Ouyang C,  Qin C,  Rakic M,  Wells WM,  et al. (2026)
The Relationship between Hippocampal Cerebrovascular Reactivity and Brain Structure in Older Age
Wang C,  Jobbins L,  Reid G,  Hobden G,  Patel R,  Mackay CE,  Ebmeier KP,  Pinto J,  Bulte D,  Kivimäki M,  Singh-Manoux A,  Suri S,  et al. (2026)
FedExIT - Missing Class-agnostic Semi-Supervised Federated Learning with Extreme Imbalance Tackling Scheme
Saha P,  Mishra D,  Wagner F,  Kamnitsas K,  Noble JA,  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,  Mayeur D,  Kaderbhai C,  Ilie S,  Hennequin A,  Roussot N,  Bergeron A,  Beltjens F,  Pescia C,  Morel H-P,  Coutant C,  Rittscher J,  Arnould L,  Vinçon N,  Ladoire S,  et al. (2026)
A visually grounded language model for fetal ultrasound understanding.
Guo X,  Alsharid M,  Zhao H,  Wang Y,  Lander J,  Papageorghiou AT,  Noble JA,  et al. (2026)
AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction
Peng J,  Beetz M,  Banerjee A,  Chen M,  Grau V,  et al. (2026)
Integrated Cardiac and Circulating N-glycan Signatures Reflect Atrial Remodeling in Patients with Atrial Fibrillation
Yiu CHK,  Cheeseman J,  Elgood-Hunt G,  Ma CS,  Banerjee A,  Moreira LM,  Johnston AM,  Mehta N,  Cox K,  Betts TR,  Rajappan K,  Ginks M,  Pedersen M,  Bashir Y,  Wijesurendra RS,  Sayeed R,  Krasopoulos G,  Srivastava V,  Kourliouros A,  Spencer DIR,  Reilly S,  et al. (2026)
An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials
Doste R,  Camps J,  Wang ZJ,  Berg LA,  Holmes M,  Smith H,  Beetz M,  Li L,  Banerjee A,  Grau V,  Rodriguez B,  et al. (2026)
Statistical shape modeling in cardiovascular disease: a narrative review
Sharp AJ,  Betts TR,  Banerjee A,  et al. (2026)
An interpretable and explainable neural network to classify sports-related cardiac arrhythmias in professional football athletes
Vanegas Mueller E,  Harford M,  He L,  Banerjee A,  Leeson P,  Villarroel M,  et al. (2026)
ISACHI: Integrated Segmentation and Alignment Correction for Heart Images
Villard B,  Zacur E,  Grau V,  et al. (2019)
Erratum to: Myocardial Infarction Detection from Left Ventricular Shapes Using a Random Forest
Allen J,  Zacur E,  Dall’Armellina E,  Lamata P,  Grau V,  et al. (2016)
DEEP BISPECTRAL IMAGE ANALYSIS FOR SPEECH-BASED CONVERSATIONAL EMOTIONAL CLIMATE RECOGNITION
Alhussein G,  Alkhodari M,  Alfalahi H,  Alshehhi A,  Hadjileontiadis L,  et al. (2024)
Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images
Wood R,  Domingo E,  Koelzer VH,  Maughan TS,  Rittscher J,  et al. (2024)
Machine Learning-Based Method for the Detection of Dextrocardia in Ultrasound Video Clips
Hernandez-Cruz N,  Patey O,  Salovic B,  Papageorghiou AT,  Noble JA,  et al. (2025)
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,  Clifton D,  Kamnitsas K,  Noble JA,  et al. (2024)
Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis.
Schoenpflug LA,  Chatzipli A,  Sirinukunwattana K,  Richman S,  Blake A,  Robineau J,  Mertz KD,  Verrill C,  Leedham SJ,  Hardy C,  Whalley C,  Redmond K,  Dunne P,  Walker S,  Beggs AD,  McDermott U,  Murray GI,  Samuel LM,  Seymour M,  Tomlinson I,  Quirke P,  S:CORT consortium ,  Rittscher J,  Maughan T,  Domingo E,  Koelzer VH,  et al. (2024)
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks
Hu A,  Gu J,  Pinto F,  Kamnitsas K,  Torr P,  et al. ()
Biomarkers.
Wang C,  Patel R,  Jobbins L,  Reid G,  Hobden G,  Mackay CE,  Ebmeier KP,  Kivimäki M,  Singh-Manoux A,  Bulte D,  Suri S,  et al. (2024)
Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation.
Sharp AJ,  Pope MTB,  Briosa E Gala A,  Varini R,  Betts TR,  Banerjee A,  et al. (2025)
8 Novel enhancement of multimodality treatment of prostate cancer, combining radiotherapy,vascular-targeted photodynamic therapy, and immunotherapy
Sjoberg HT,  Macklin S,  Philippou Y,  Murphy EA,  Tullis IDC,  Jones KI,  Stribbling SM,  Parkes EE,  Edmondson EF,  Scheiblin DA,  Lockett SJ,  Wink DA,  Rittscher J,  Preise D,  Agemy L,  Yechezkel T,  Giaccia A,  Mills IG,  Muschel RJ,  Scherz AVB,  Hamdy FC,  Bryant RJ,  et al. (2025)