Prof Greg Slabaugh

Greg Slabaugh

Director of the Digital Environment Research Institute

Digital Environment Research Institute
Queen Mary University of London
07948 308316
www.eecs.qmul.ac.uk/~gslabaugh/
ORCID Google Scholar LinkedIn

Research

Computer vision, Machine learning, Deep learning, Imaging

Underpinning Bioengineering, Cancer Models, Cardiovascular Models, Infectious Disease and Inflammation Models, Musculoskeletal Models

Interests

As a computer vision scientist, I am interested image analysis and its intersection with in vitro models. More broadly I'm interested in machine learning, particularly deep learning, as a method for building predictive models.

Publications

Publications of specific relevance to Predictive in vitro Models

2024

Bransby KM, Bajaj R, Ramasamy A, Çap M, Yap N, Slabaugh G, Bourantas C and Zhang Q (2024). POLYCORE: Polygon-based contour refinement for improved Intravascular Ultrasound Segmentation. Elsevier  Computers in Biology and Medicine  vol. 182, 109162-109162. 10.1016/j.compbiomed.2024.109162
Shyam-Sundar V, Harding D, Khan A, Abdulkareem M, Slabaugh G, Mohiddin SA, Petersen SE and Aung N (2024). Imaging for the diagnosis of acute myocarditis: can artificial intelligence improve diagnostic performance? Frontiers  Frontiers in Cardiovascular Medicine  vol. 11, 10.3389/fcvm.2024.1408574
Shyam-Sundar V, Mahmood A, Slabaugh G, Chahal A, Petersen SE, Aung N, Mohiddin SA and Khanji MY (2024). Management of acute myocarditis: a systematic review of clinical practice guidelines and recommendations. Oxford University Press (Oup)  European Heart Journal - Quality of Care and Clinical Outcomes  qcae069-qcae069. 10.1093/ehjqcco/qcae069
Dee W, Sequeira I, Lobley A and Slabaugh G (2024). Cell-vision fusion: A Swin transformer-based approach for predicting kinase inhibitor mechanism of action from Cell Painting data. Elsevier  Iscience  vol. 27, (8) 110511-110511. 10.1016/j.isci.2024.110511
Jin Y, Song X, Slabaugh G and Lucas S (2024). Partial Advantage Estimator for Proximal Policy Optimization. Institute of Electrical and Electronics Engineers (Ieee)  Ieee Transactions On Games  vol. PP, (99) 1-10. 10.1109/tg.2024.3408298
Alwazzan O, Patras I and Slabaugh G (2024). FOAA: Flattened Outer Arithmetic Attention for Multimodal Tumor Classification. Institute of Electrical and Electronics Engineers (Ieee)  International Symposium On Biomedical Imaging  vol. 00, 1-5. 10.1109/isbi56570.2024.10635901
Jawaid MM, Narejo S, Riaz F, Reyes-Aldasoro CC, Slabaugh G and Brown J (2024). Non-calcified plaque-based coronary stenosis grading in contrast enhanced CT. Elsevier  Medical Engineering & Physics  vol. 129, 10.1016/j.medengphy.2024.104182
Jaffery OA, Melki L, Slabaugh G, Good WW and Roney CH (2024). A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data. Radcliffe Cardiology  Arrhythmia & Electrophysiology Review  vol. 13, 10.15420/aer.2023.25
Zhang Q, Zheng B, Li Z, Liu Y, Zhu Z, Slabaugh G and Yuan S (2024). Non-local degradation modeling for spatially adaptive single image super-resolution. Elsevier  Neural Networks  vol. 175, 106293-106293. 10.1016/j.neunet.2024.106293
Chen Q, Zheng B, Yan C, Zhu Z, Wang T, Slabaugh G and Yuan S (2024). GoLDFormer: A global–local deformable window transformer for efficient image restoration. Elsevier  Journal of Visual Communication and Image Representation  vol. 100, 104117-104117. 10.1016/j.jvcir.2024.104117
Senior H, Slabaugh G, Yuan S and Rossi L (2024). Graph neural networks in vision-language image understanding: a survey. Springer Science and Business Media Llc  The Visual Computer  10.1007/s00371-024-03343-0
Papadopoulou A, Harding D, Slabaugh G, Marouli E and Deloukas P (2024). Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank. Elsevier  Heliyon  vol. 10, (7) 10.1016/j.heliyon.2024.e28034
Khan A, Asad M, Zolotarev A, Roney C, Mathur A, Benning M and Slabaugh G (2024). Misclassification Loss for Segmentation of the Aortic Vessel Tree. Segmentation of The Aorta. Towards The Automatic Segmentation, Modeling, and Meshing of The Aortic Vessel Tree From Multicenter  Springer Nature  10.1007/978-3-031-53241-2_6
Anselmi M, Slabaugh G, Crespo-Otero R and Di Tommaso D (2024). Molecular graph transformer: stepping beyond ALIGNN into long-range interactions. Royal Society of Chemistry (Rsc)  Digital Discovery  vol. 3, (5) 1048-1057. 10.1039/d4dd00014e

2023

Slabaugh G, Beltran L, Rizvi H, Deloukas P and Marouli E (2023). Applications of machine and deep learning to thyroid cytology and histopathology: a review. Frontiers  Frontiers in Oncology  vol. 13, 10.3389/fonc.2023.958310
Rauseo E, Abdulkareem M, Khan A, Cooper J, Lee AM, Aung N, Slabaugh GG and Petersen SE (2023). Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification. Oxford University Press (Oup)  European Heart Journal - Cardiovascular Imaging  vol. 24, (10) 1363-1373. 10.1093/ehjci/jead218
Rauseo E, Salih A, Raisi-Estabragh Z, Aung N, Khanderia N, Slabaugh GG, Marshall CR, Neubauer S, Radeva P, Galazzo IB, Menegaz G and Petersen SE (2023). Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging. Elsevier  Jacc Cardiovascular Imaging  vol. 16, (7) 905-915. 10.1016/j.jcmg.2023.01.016
Fu Q, Xie H, Qin Z, Slabaugh G and Tao X (2023). Vector Quantized Semantic Communication System. Institute of Electrical and Electronics Engineers  Ieee Wireless Communications Letters  1-1. 10.1109/lwc.2023.3255221
Arain Z, Iliodromiti S, Slabaugh G, David AL and Chowdhury TT (2023). Machine learning and disease prediction in obstetrics. Elsevier  Current Research in Physiology  vol. 6, 10.1016/j.crphys.2023.100099
Bransby KM, Slabaugh G, Bourantas C and Zhang Q (2023). Joint Dense-Point Representation for Contour-Aware Graph Segmentation. Medical Image Computing and Computer Assisted Intervention – Miccai 2023  Springer Nature  10.1007/978-3-031-43898-1_50
Khan A, Alwazzan O, Benning M and Slabaugh G (2023). Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing. Left Atrial and Scar Quantification and Segmentation  Springer Nature  10.1007/978-3-031-31778-1_7

2022

Zheng B, Yuan S, Yan C, Tian X, Zhang J, Sun Y, Liu L, Leonardis A and Slabaugh G (2022). Learning Frequency Domain Priors for Image Demoireing. Institute of Electrical and Electronics Engineers (Ieee)  Ieee Transactions On Pattern Analysis and Machine Intelligence  vol. 44, (11) 7705-7717. 10.1109/tpami.2021.3115139
Catley-Chandar S, Tanay T, Vandroux L, Leonardis A, Slabaugh G and Perez-Pellitero E (2022). FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging. Institute of Electrical and Electronics Engineers  Ieee Transactions On Image Processing  10.1109/TIP.2022.3203562
Zheng B, Chen Q, Yuan S, Zhou X, Zhang H, Zhang J, Yan C and Slabaugh G (2022). Constrained Predictive Filters for Single Image Bokeh Rendering. Institute of Electrical and Electronics Engineers (Ieee)  Ieee Transactions On Computational Imaging  vol. 8, 346-357. 10.1109/tci.2022.3171417
Tanay T, Sootla A, Maggioni M, Dokania PK, Torr PHS, Leonardis A and Slabaugh G (2022). Diagnosing and Preventing Instabilities in Recurrent Video Processing. Institute of Electrical and Electronics Engineers  Ieee Transactions On Pattern Analysis and Machine Intelligence  10.1109/TPAMI.2022.3160350
Sun Y, Li L, Yao T, Lu T, Zheng B, Yan C, Zhang H, Bao Y, Ding G and Slabaugh G (2022). Bidirectional difference locating and semantic consistency reasoning for change captioning. Wiley  International Journal of Intelligent Systems  vol. 37, (5) 2969-2987. 10.1002/int.22821

2021

Zhao H, Zheng B, Yuan S, Zhang H, Yan C, Li L and Slabaugh G (2021). CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement. Institute of Electrical and Electronics Engineers (Ieee)  Ieee Transactions On Circuits and Systems For Video Technology  vol. 32, (7) 4138-4149. 10.1109/tcsvt.2021.3123621

2018

Yang G, Zhuang X, Khan H, Nyktari E, Haldar S, Li L, Wage R, Ye X, Slabaugh G, Mohiaddin R, Wong T, Keegan J and Firmin D (2018). Left Atrial Scarring Segmentation from Delayed-Enhancement Cardiac MRI Images: A Deep Learning Approach. Cardiovascular Imaging and Image Analysis  Taylor & Francis  10.1201/9780429441493-6
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Li L, Wage R, Ye X, Slabaugh G, Mohiaddin R, Wong T, Keegan J and Firmin D (2018). Fully automatic segmentation and objective assessment of atrial scars for long‐standing persistent atrial fibrillation patients using late gadolinium‐enhanced MRI. Wiley  Medical Physics  vol. 45, (4) 1562-1576. 10.1002/mp.12832

2013

Boone DJ, Halligan S, Roth HR, Hampshire TE, Helbren E, Slabaugh GG, McQuillan J, McClelland JR, Hu M, Punwani S, Taylor SA and Hawkes DJ (2013). CT Colonography: External Clinical Validation of an Algorithm for Computer-assisted Prone and Supine Registration. Radiological Society of North America (Rsna)  Radiology  vol. 268, (3) 752-760. 10.1148/radiol.13122083

2009

Ye X, Lin X, Dehmeshki J, Slabaugh G and Beddoe G (2009). Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images. Ieee  Biomedical Engineering, Ieee Transactions On  vol. 56, 1810-1820. 10.1109/TBME.2009.2017027

Grants

Grants of specific relevance to Predictive in vitro Models
Collaborative Training Partnership in AI for Drug Discovery
Slabaugh G
Biotechnology and Biological Sciences Research Council (01-09-2022 - 31-08-2029)
Multimodal AI for Multi-omics Data Integration
Slabaugh G and Mohamed Ismail N
Biotechnology and Biological Sciences Research Council (30-09-2023 - 29-09-2027)
Summary
AI detection of druggable features from high content imaging data
Slabaugh G and Dee W
Biotechnology and Biological Sciences Research Council (30-09-2022 - 29-09-2026)
Summary
Developing Spatially Resolved Molecular Drug-Repurposing Assays for Treating Age-Related Frailty
Timmons J and Slabaugh G
£400,000 Medical Research Council (01-10-2023 - 30-09-2025)
An Ecosystem for Digital Twins in Healthcare - EDITH Platform
Slabaugh G
European Commission (01-04-2023 - 31-03-2025)

Accelerated Knowledge Transfer to Innovate (AKT2I) with Keen AI
Slabaugh G
Innovate UK (01-12-2022 - 30-03-2023)