Prof Greg Slabaugh

Greg Slabaugh

Prof of Computer Vision and AI
Director of The Digital Environment Research Institute

School of Electronic Engineering and Computer Science
Queen Mary University of London
ORCID Google Scholar LinkedIn

Research

Computer vision, Medical image computing, Computational photography, Generative AI, Multimodal AI, Graph neural networks

Interests

I am interested in computer vision using deep learning techniques. This includes learning paradigms, neural network architectures, and applications across diverse topics. Currently my work explores image, video, surface, and graph representations of data, upon which deep neural networks operate, including convolutional, transformer, and state-space models in unimodal and multi-modal settings. Applications include healthcare, digital twins, drug discovery, computational photography, materials discovery, safety, vision-language models, video synthesis using generative AI.

Publications

Relevant PublicationPublications of specific relevance to the Centre for Multimodal AI

2024

bullet iconBransby 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. Computers in Biology and Medicine, Elsevier vol. 182, 109162-109162.  
20-09-2024
bullet iconShyam-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 in Cardiovascular Medicine, Frontiers vol. 11 
29-08-2024
bullet iconShyam-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. European Heart Journal - Quality of Care and Clinical Outcomes, Oxford University Press (OUP), qcae069-qcae069.  
23-08-2024
bullet iconDee 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. iScience, Elsevier vol. 27 (8), 110511-110511.  
01-08-2024
bullet iconJin Y, Song X, Slabaugh G and Lucas S (2024). Partial Advantage Estimator for Proximal Policy Optimization. IEEE Transactions on Games, Institute of Electrical and Electronics Engineers (IEEE) vol. PP (99), 1-10.  
03-06-2024
bullet iconKhan A, Asad M, Benning M, Roney C and Slabaugh G (2024). Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks. 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
30-05-2024
bullet iconAlwazzan O, Patras I and Slabaugh G (2024). FOAA: Flattened Outer Arithmetic Attention for Multimodal Tumor Classification. International Symposium on Biomedical Imaging, Institute of Electrical and Electronics Engineers (IEEE) vol. 00, 1-5.  
30-05-2024
bullet iconShyam-Sundar V, Nicholls H, Harding D, Slabaugh G, Mohiddin S, Petersen S and Aung N (2024). 14 A single centre retrospective study of patients presenting with acute forms of myocarditis: insights from clinical and cardiac MRI data. ACHD/Valve disease/Pericardial disease/Cardiomyopathy
27-05-2024
bullet iconJawaid 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. Medical Engineering & Physics, Elsevier vol. 129 
22-05-2024
bullet iconJaffery OA, Melki L, Slabaugh G, Good WW and Roney CH (2024). A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data. Arrhythmia & Electrophysiology Review, Radcliffe Cardiology vol. 13 
20-05-2024
bullet iconJaffery OA, Barrera CE, Rodero C, Zolotarev A, Good WW, Slabaugh G, Niederer S, Vigmond EJ and Roney CH (2024). PO-05-163 TOWARDS AUTOMATED GENERATION OF ABLATION LESION MASKS: A UNISON OF ELECTRO AND OPTIC FLOW MAPPING. Heart Rhythm Society
01-05-2024
bullet iconZhang 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. Neural Networks, Elsevier vol. 175, 106293-106293.  
10-04-2024
bullet iconChen 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. Journal of Visual Communication and Image Representation, Elsevier vol. 100, 104117-104117.  
01-04-2024
bullet iconSenior H, Slabaugh G, Yuan S and Rossi L (2024). Graph neural networks in vision-language image understanding: a survey. The Visual Computer, Springer Science and Business Media LLC 
29-03-2024
bullet iconPapadopoulou A, Harding D, Slabaugh G, Marouli E and Deloukas P (2024). Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank. Heliyon, Elsevier vol. 10 (7) 
17-03-2024
bullet iconChadalavada S, Rauseo E, Salih A, Naderi H, Khanji M, Vargas JD, Lee AM, Amir-Kalili A, Lockhart L, Graham B, Chirvasa M, Fung K, Paiva J, Slabaugh GG, Jensen MT, Aung N and Petersen SE (2024). 11 Visual quality control of assessment of AI-assisted high-volume CMR segmentation in the UK Biobank. Abstracts
01-03-2024
bullet iconKhan 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 Acquisition  67-79.  
01-01-2024
bullet iconAnselmi M, Slabaugh G, Crespo-Otero R and Di Tommaso D (2024). Molecular graph transformer: stepping beyond ALIGNN into long-range interactions. Digital Discovery, Royal Society of Chemistry (RSC) vol. 3 (5), 1048-1057.  
01-01-2024

2023

bullet iconSlabaugh 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 in Oncology, Frontiers vol. 13 
07-11-2023
bullet iconJaffery OA, Horrach CV, Lagalante DJ, Thomas G, Slabaugh G, Melki L, Good WW and Roney CH (2023). Subject-Specific Ablation of Pathologic Conduction Patterns Beyond the Pulmonary Veins: A Personalised Modelling Approach. 2023 Computing in Cardiology Conference (CinC)
04-10-2023
bullet iconRauseo 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. European Heart Journal - Cardiovascular Imaging, Oxford University Press (OUP) vol. 24 (10), 1363-1373.  
12-09-2023
Relevant PublicationAlwazzan O, Khan A, Patras I and Slabaugh G (2023). MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
21-04-2023
bullet iconBransby KM, Tufaro V, Çap M, Slabaugh G, Bourantas C and Zhang Q (2023). 3D Coronary Vessel Reconstruction from Bi-Plane Angiography Using Graph Convolutional Networks. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
21-04-2023
bullet iconRauseo 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. JACC Cardiovascular Imaging, Elsevier vol. 16 (7), 905-915.  
12-04-2023
bullet iconFu Q, Xie H, Qin Z, Slabaugh G and Tao X (2023). Vector Quantized Semantic Communication System. IEEE Wireless Communications Letters, Institute of Electrical and Electronics Engineers, 1-1.  
10-03-2023
Relevant PublicationChen R, Zheng B, Zhang H, Chen Q, Yan C, Slabaugh G and Yuan S (2023). Improving Dynamic HDR Imaging with Fusion Transformer. Annual AAAI Conference on Artificial Intelligence
07-02-2023
bullet iconArain Z, Iliodromiti S, Slabaugh G, David AL and Chowdhury TT (2023). Machine learning and disease prediction in obstetrics. Current Research in Physiology, Elsevier vol. 6 
01-01-2023
bullet iconBransby 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  519-528.  
01-01-2023
bullet iconKhan 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  69-82.  
01-01-2023

2022

Relevant PublicationZheng B, Pan X, Zhang H, Zhou X, Slabaugh G, Yan C and Yuan S (2022). DomainPlus: Cross Transform Domain Learning towards High Dynamic Range Imaging. Proceedings of the 30th ACM International Conference on Multimedia
10-10-2022
Relevant PublicationZheng 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. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (IEEE) vol. 44 (11), 7705-7717.  
04-10-2022
bullet iconCatley-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. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers 
08-09-2022
Relevant PublicationZheng 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. IEEE Transactions on Computational Imaging, Institute of Electrical and Electronics Engineers (IEEE) vol. 8, 346-357.  
03-05-2022
bullet iconTanay T, Sootla A, Maggioni M, Dokania PK, Torr PHS, Leonardis A and Slabaugh G (2022). Diagnosing and Preventing Instabilities in Recurrent Video Processing. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers 
17-03-2022
bullet iconSun 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. International Journal of Intelligent Systems, Wiley vol. 37 (5), 2969-2987.  
19-01-2022

2021

Relevant PublicationZhao 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. IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers (IEEE) vol. 32 (7), 4138-4149.  
27-10-2021
bullet iconMoran S, McDonagh S and Slabaugh G (2021). CuRL: Neural curve layers for global image enhancement. International Conference on Pattern Recognition
01-01-2021

2020

Relevant PublicationYuan S, Timofte R, Leonardis A, Slabaugh G, Luo X, Zhang J, Qu Y, Hong M, Xie Y, Li C, Xu D, Chu Y, Sun Q, Liu S, Zong Z, Nan N, , Kim S, Nam H, Kim J, et al. (2020). NTIRE 2020 Challenge on Image Demoireing: Methods and Results. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
19-06-2020
Relevant PublicationIsobe T, Li S, Jia X, Yuan S, Slabaugh G, Xu C, Li Y-L, Wang S and Tian Q (2020). Video Super-resolution with Temporal Group Attention. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
13-06-2020
Relevant PublicationZheng B, Yuan S, Slabaugh G and Leonardis A (2020). Image Demoireing with Learnable Bandpass Filters. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
13-06-2020
Relevant PublicationLiu L, Yuan S, Liu J, Bao L, Slabaugh G and Tian Q (2020). Self-adaptively learning to Demoiré from focused and defocused image pairs. 
01-01-2020
Relevant PublicationLiu L, Liu J, Yuan S, Slabaugh G, Leonardis A, Zhou W and Tian Q (2020). Wavelet-Based Dual-Branch Network for Image Demoiréing. 
01-01-2020

2019

Relevant PublicationYuan S, Timofte R, Slabaugh G and Leonardis A (2019). AIM 2019 Challenge on Image Demoireing: Dataset and Study. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
27-10-2019
Relevant PublicationYuan S, Timofte R, Slabaugh G, Leonardis A, Zheng B, Ye X, Tian X, Chen Y, Cheng X, Fu Z, Yang J, Hong M, Lin W, Yang W, Qu Y, Shin H-K, Kim J-Y, Ko S-J, Dong H, Guo Y, et al. (2019). AIM 2019 Challenge on Image Demoireing: Methods and Results. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
27-10-2019

2018

bullet iconYang 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  109-130.  
03-10-2018
bullet iconYang 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. Medical Physics, Wiley vol. 45 (4), 1562-1576.  
15-03-2018

2017

bullet iconYang G, Zhuang X, Khan H, Haldar S, Nyktari E, Ye X, Slabaugh G, Wong T, Mohiaddin R, Keegan J and Firmin D (2017). A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images. International Symposium on Biomedical Imaging
15-06-2017
bullet iconYang G, Zhuang X, Khan H, Haldar S, Nyktari E, Li L, Ye X, Slabaugh G, Wong T, Mohiaddin R, Keegan J and Firmin D (2017). Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. SPIE Medical Imaging
01-01-2017
bullet iconYang G, Zhuang X, Khan H, Haldar S, Nyktari E, Li L, Ye X, Slabaugh G, Wong T, Mohiaddin R, Keegan J and Firmin D (2017). Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI. SPIE Medical Imaging
01-01-2017
bullet iconYang G, Zhuang X, Khan H, Haldar S, Nyktari E, Ye X, Slabaugh G, Wong T, Mohiaddin R, Keegan J and Firmin D (2017). Segmenting atrial fibrosis from late gadolinium-enhanced cardiac MRI by deep-learned features with stacked sparse auto-encoders. SPIE Medical Imaging
01-01-2017

2016

bullet iconYang G, Ye X, Slabaugh G, Keegan J, Mohiaddin R and Firmin D (2016). Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images. Medical Imaging 2016: Image Processing
21-03-2016
bullet iconYang G, Ye X, Slabaugh G, Keegan J, Mohiaddin R and Firmin D (2016). Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. 
01-01-2016

2013

bullet iconBoone 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. Radiology, Radiological Society of North America (RSNA) vol. 268 (3), 752-760.  
17-05-2013

2009

bullet iconYe X, Lin X, Dehmeshki J, Slabaugh G and Beddoe G (2009). Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images. Biomedical Engineering, IEEE Transactions on, IEEE vol. 56, 1810-1820.  
01-07-2009

Grants

solid heart iconGrants of specific relevance to the Centre for Multimodal AI
bullet iconAddressing socio-technical limitations of LLMs for medical and social computing
Maria Liakata, Julia Ive, Matthew Purver, Claude Chelala and Gregory Slabaugh
£1,799,332 EPSRC Engineering and Physical Sciences Research Council (01-05-2024 - 31-03-2028)
bullet iconRe-profiled BRC 2022-27 Final - Precision Musculoskeletal Care
John Whiteley, Costantino Pitzalis, Martin Knight, Gregory Slabaugh and Xavier Griffin
£3,343,542 NIHR National Institute for Health Research (01-12-2022 - 30-11-2027)
bullet iconRe-profiled BRC 2022-27 Final - Precision Digital Health, Cardiovascular Devices and Trials
John Whiteley and Gregory Slabaugh
£3,519,133 NIHR National Institute for Health Research (01-12-2022 - 30-11-2027)
bullet iconMultimodal AI for Multi-omics Data Integration (N. M. Ismail)
Gregory Slabaugh
£125,091 BBSRC Biotechnology and Biological Sciences Research Council (01-10-2023 - 30-09-2027)
bullet iconBBSRC CTP Studentship: Nasim Mohamed Ismail Studentship - MSD
Gregory Slabaugh and Emma Tjong
£10,400 Merck (01-10-2023 - 30-09-2027)
bullet iconEPSRC DTP Case Conversion - Industry Contribution: Senadeera Damith
Gregory Slabaugh
£35,668 Remark AI Remark AI UK Limited (01-10-2023 - 30-09-2027)
bullet iconCTP Training Grant: William Dee
Gregory Slabaugh
£123,282 BBSRC Biotechnology and Biological Sciences Research Council (01-10-2022 - 30-09-2026)
bullet iconBBSRC AIDD CTP CASE Award: William Dee
Gregory Slabaugh
£8,600 EXSCIENTIA LIMITED (26-09-2022 - 25-09-2026)
bullet iconDevelopment and Validation of Smartphone-Based Tools for Characterisation of Gait - QMUL-HUMA KTP
Caroline Roney, Tsz Ho Tse, Dylan Morrissey, Stuart Miller, Trevor Prior and Gregory Slabaugh
£227,485 Innovate UK (10-04-2024 - 09-04-2026)
bullet iconDeveloping Spatially Resolved Molecular Drug-Repurposing Assays for Treating Age-Related Frailty
James Timmons, Peter McCormick and Gregory Slabaugh
£331,647 MRC Medical Research Council (30-09-2023 - 29-09-2025)
bullet iconInnovate UK KTP - Wise
Alexander Shestopaloff and Gregory Slabaugh
£219,928 Innovate UK (01-11-2022 - 31-10-2024)


bullet iconDevelopment of Multimodal Data Integration Algorithms
Gregory Slabaugh
£39,052 AZ AstraZeneca UK Limited (15-01-2024 - 15-08-2024)
bullet iconKTP Capacity Building Competition 2022
Akram Alomainy, Gregory Slabaugh, Alastair Noyce, Vahitha Abdul Salam and Viji Draviam Sastry
£34,544 Innovate UK (01-12-2022 - 31-03-2023)
bullet iconKTP Capacity Enhancement: AKT2I with Keen-AI
Gregory Slabaugh
£34,708 Innovate UK (01-12-2022 - 31-03-2023)