Publications

Biomedical Image Analysis

Research

Impact

Biomedical Image Analysis Publications

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)

An automated pipeline for the identification of liver tissue in ultrasound video
Ockenden E, Mpooya S, Noble JA, Chami GF, et al. ()

Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection
Anthony H, Kamnitsas K, et al. (2025)

Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images
Wood R, Domingo E, Koelzer VH, Maughan TS, Rittscher J, et al. (2024)

Fetal Ultrasound Video Representation Learning Using Contrastive Rubik’s Cube Recovery
Zhang K, Jiao J, 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. ()

FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
Saha P, Mishra D, Wagner F, Kamnitsas K, Noble JA, 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)

A comprehensive scoping review on machine learning-based fetal echocardiography analysis.
Hernandez-Cruz N, Patey O, Teng C, Papageorghiou AT, Noble JA, et al. (2025)

EmoNet: Deep Learning-based Emotion Climate Recognition Using Peers' Conversational Speech, Affect Dynamics, and Physiological Data.
Alhussein G, Alkhodari M, Saleem S, Roumeliotou E, Hadjileontiadis LJ, et al. (2024)

Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.
Li L, Smith H, Lyu Y, Camps J, Qian S, Rodriguez B, Banerjee A, Grau V, et al. (2025)

Correction: Multi-modal characterisation of early-stage, subclinical cardiac deterioration in patients with type 2 diabetes.
Bertrand A, Lewis A, Camps J, Grau V, Rodriguez B, et al. (2025)

Ramp protocol for non-linear cerebrovascular reactivity with transcranial doppler ultrasound
Hayes G, Sparks S, Pinto J, Bulte DP, et al. (2025)

Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction
Chen C, Li L, Beetz M, Banerjee A, Gupta R, Grau V, et al. (2025)

Self-supervised Instance Segmentation of Diabetic Foot Ulcers via Feature Correspondence Distillation
Zhang W, Banerjee A, Ray S, et al. (2025)

Editorial: Artificial intelligence applications for cancer diagnosis in radiology
Banerjee A, Shan H, Feng R, et al. (2025)

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
Droste R, Drukker L, Papageorghiou AT, Noble JA, et al. (2020)

Radiomics for Treatment Planning in Liver Cancers.
Mian A, Kamnitsas K, Gordon-Weeks A, et al. (2025)

Reticulin-Free Quantitation of Bone Marrow Fibrosis in MPNs: Utility and Applications.
Ryou H, Thomas E, Wojciechowska M, Harding L, Tam KH, Wang R, Hu X, Rittscher J, Cooper R, Royston D, et al. (2025)

Expert-Agnostic Learning to Defer
Strong J, Saha P, Ibrahim Y, Ouyang C, Noble A, et al. (2025)

Standardized pancreatic MRI-T1 measurement methods: comparison between manual measurement and a semi-automated pipeline with automatic quality control.
Triay Bagur A, Arya Z, Waddell T, Pansini M, Fernandes C, Counter D, Jackson E, Thomaides-Brears HB, Robson MD, Bulte DP, Banerjee R, Aljabar P, Brady M, et al. (2025)

Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors
Nicolson A, Schut L, Noble AJ, Gal Y, et al. (2025)

Exploring emotional climate recognition in peer conversations through bispectral features and affect dynamics.
Alhussein G, Alkhodari M, Ziogas I, Lamprou C, Khandoker AH, Hadjileontiadis LJ, et al. (2025)

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 A, Asano YM, Noble JA, et al. (2025)

DeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections
Wang Y, Banerjee A, Choudhury RP, Grau V, et al. (2025)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Wagner F, Xu W, Saha P, Liang Z, Whitehouse D, Menon D, Newcombe V, Voets N, Noble JA, Kamnitsas K, et al. (2025)