Biomedical Image Analysis
Research
Impact
Biomedical Image Analysis Publications
Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.
Bowness JS,  James K,  Yarlett L,  Htyn M,  Fisher E,  Cassidy S,  Morecroft M,  Rees T,  Noble JA,  Higham H,  et al. (2024)
Functional Impairment in Small Airways Associated With the Breathlessness Symptoms in Long-Coronavirus Disease.
Kim M,  Hwang J,  Grist JT,  Abueid G,  Yoon SH,  Grau V,  Fraser E,  Gleeson FV,  et al. (2024)
Preface DART 2023
Koch L,  Cardoso MJ,  Ferrante E,  Islam M,  Jiang M,  Kamnitsas K,  Rieke N,  Tsaftaris SA,  Yang D,  et al. (2024)
Segment anything model for medical images?
Huang Y,  Yang X,  Liu L,  Zhou H,  Chang A,  Zhou X,  Chen R,  Yu J,  Chen J,  Chen C,  Liu S,  Chi H,  Hu X,  Yue K,  Li L,  Grau V,  Fan D-P,  Dong F,  Ni D,  et al. (2024)
Quantitative Analysis of Bone Marrow Features Highlights Heterogeneity in Myelofibrosis Patients Treated with Zinpentraxin Alfa in a Phase II Clinical Study
Ryou H,  Sirinukunwattana K,  Wood R,  Aberdeen A,  Rittscher J,  Weinberg O,  Hasserjian R,  Pozdnyakova O,  Peale F,  Higgins B,  Lundberg P,  Trunzer K,  Harrison CN,  Royston D,  et al. (2023)
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Ali S,  Ghatwary N,  Jha D,  Isik-Polat E,  Polat G,  Yang C,  Li W,  Galdran A,  Ballester M-ÁG,  Thambawita V,  Hicks S,  Poudel S,  Lee S-W,  Jin Z,  Gan T,  Yu C,  Yan J,  Yeo D,  Lee H,  Tomar NK,  Haithami M,  Ahmed A,  Riegler MA,  Daul C,  Halvorsen P,  et al. (2024)
Automated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network
He H,  Banerjee A,  Choudhury RP,  Grau V,  et al. (2024)
Generating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net
Peng J,  Beetz M,  Banerjee A,  Chen M,  Grau V,  et al. (2024)
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Li L,  Camps J,  Wang Z,  Beetz M,  Banerjee A,  Rodriguez B,  Grau V,  et al. (2024)
The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review
Ockenden ES,  Frischer SR,  Cheng H,  Noble JA,  Chami GF,  et al. ()
Digital twinning of the human ventricular activation sequence to Clinical 12-lead ECGs and magnetic resonance imaging using realistic Purkinje networks for in silico clinical trials.
Camps J,  Berg LA,  Wang ZJ,  Sebastian R,  Riebel LL,  Doste R,  Zhou X,  Sachetto R,  Coleman J,  Lawson B,  Grau V,  Burrage K,  Bueno-Orovio A,  Weber Dos Santos R,  Rodriguez B,  et al. (2024)
HTX: a tool for the exploration and visualization of high-throughput image assays
Arteta C,  Lempitsky V,  Zak J,  Lu X,  Noble JA,  Zisserman A,  et al. ()
Semi-weakly-supervised neural network training for medical image registration
Li Y,  Fu Y,  Gayo IJMB,  Yang Q,  Min Z,  Saeed SU,  Yan W,  Wang Y,  Noble JA,  Emberton M,  Clarkson MJ,  Barratt DC,  Prisacariu VA,  Hu Y,  et al. (2024)
Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines.
Bowness JS,  Metcalfe D,  El-Boghdadly K,  Thurley N,  Morecroft M,  Hartley T,  Krawczyk J,  Noble JA,  Higham H,  et al. (2024)
Semi-Supervised Learning for Deep Causal Generative Models
Ibrahim Y,  Warr H,  Kamnitsas K,  et al. (2024)
Image-based consensus molecular subtyping in rectal cancer biopsies and response to neoadjuvant chemoradiotherapy
Lafarge MW,  Domingo E,  Sirinukunwattana K,  Wood R,  Samuel L,  Murray G,  Richman SD,  Blake A,  Sebag-Montefiore D,  Gollins S,  Klieser E,  Neureiter D,  Huemer F,  Greil R,  Dunne P,  Quirke P,  Weiss L,  Rittscher J,  Maughan T,  Koelzer VH,  et al. (2024)
Predicting clinical endpoints and visual changes with quality-weighted tissue-based renal histological features
Tam KH,  Soares MF,  Kers J,  Sharples EJ,  Ploeg RJ,  Kaisar M,  Rittscher J,  et al. (2024)
Accurate subtyping of lung cancers by modelling class dependencies
Batchkala G,  Li B,  Fan M,  McCole M,  Brambilla C,  Gleeson F,  Rittscher J,  et al. ()
Comprehensive characterization of cardiac contraction for improved post-infarction risk assessment
Corral Acero J,  Lamata P,  Eitel I,  Zacur E,  Evertz R,  Lange T,  Backhaus SJ,  Stiermaier T,  Thiele H,  Bueno Orovio A,  Schuster A,  Grau V,  et al. (2024)
Transesophageal Echocardiography Generation Using Anatomical Models
Oladokun E,  Abdulkareem M,  Šprem J,  Grau V,  et al. (2024)
A systematic review of machine learning models for management, prediction and classification of ARDS
Tran TK,  Tran MC,  Joseph A,  Phan PA,  Grau V,  Farmery AD,  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. ()
Clinical Utility of Cardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non-ST-segment-Elevation Myocardial Infarction
Shanmuganathan M,  Nikolaidou C,  Burrage MK,  Borlotti A,  Kotronias R,  Scarsini R,  Banerjee A,  Terentes-Printzios D,  Pitcher A,  Gara E,  Langrish J,  Lucking A,  Choudhury R,  De Maria GL,  Banning A,  investigators OS,  Piechnik SK,  Channon KM,  Ferreira VM,  et al. (2024)