Prof 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
Queen Mary University of London
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
Publications of specific relevance to the Centre for Multimodal AI2024
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. Computers in Biology and Medicine, Elsevier vol. 182, 109162-109162. 20-09-2024
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 in Cardiovascular Medicine, Frontiers vol. 11 29-08-2024
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. European Heart Journal - Quality of Care and Clinical Outcomes, Oxford University Press (OUP), qcae069-qcae069. 23-08-2024
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. iScience, Elsevier vol. 27 (8), 110511-110511. 01-08-2024
Jin 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
Khan 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
Alwazzan 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
Shyam-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
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. Medical Engineering & Physics, Elsevier vol. 129 22-05-2024
Jaffery 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
Jaffery 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
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. Neural Networks, Elsevier vol. 175, 106293-106293. 10-04-2024
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. Journal of Visual Communication and Image Representation, Elsevier vol. 100, 104117-104117. 01-04-2024
Senior 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
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. Heliyon, Elsevier vol. 10 (7) 17-03-2024
Chadalavada 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
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 Acquisition 67-79. 01-01-2024
Anselmi 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
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 in Oncology, Frontiers vol. 13 07-11-2023
Jaffery 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
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. European Heart Journal - Cardiovascular Imaging, Oxford University Press (OUP) vol. 24 (10), 1363-1373. 12-09-2023
Alwazzan 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
Bransby 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
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. JACC Cardiovascular Imaging, Elsevier vol. 16 (7), 905-915. 12-04-2023
Fu 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
Chen 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
Arain 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
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 519-528. 01-01-2023
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 69-82. 01-01-2023
2022
Zheng 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
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. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (IEEE) vol. 44 (11), 7705-7717. 04-10-2022
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. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers 08-09-2022
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. IEEE Transactions on Computational Imaging, Institute of Electrical and Electronics Engineers (IEEE) vol. 8, 346-357. 03-05-2022
Tanay 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
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. International Journal of Intelligent Systems, Wiley vol. 37 (5), 2969-2987. 19-01-2022
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. IEEE Transactions on Circuits and Systems for Video Technology, Institute of Electrical and Electronics Engineers (IEEE) vol. 32 (7), 4138-4149. 27-10-2021
Moran S, McDonagh S and Slabaugh G (2021). CuRL: Neural curve layers for global image enhancement. International Conference on Pattern Recognition. 01-01-2021
2020
Yuan 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
Isobe 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
Zheng 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
Liu 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
Liu 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
Yuan 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
Yuan 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
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 109-130. 03-10-2018
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. Medical Physics, Wiley vol. 45 (4), 1562-1576. 15-03-2018
2017
Yang 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
Yang 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
Yang 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
Yang 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
Yang 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
Yang 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
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. Radiology, Radiological Society of North America (RSNA) vol. 268 (3), 752-760. 17-05-2013
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. Biomedical Engineering, IEEE Transactions on, IEEE vol. 56, 1810-1820. 01-07-2009
Grants
Addressing socio-technical limitations of LLMs for medical and social computingMaria 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)
Re-profiled BRC 2022-27 Final - Precision Musculoskeletal CareJohn 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)
Re-profiled BRC 2022-27 Final - Precision Digital Health, Cardiovascular Devices and TrialsJohn Whiteley and Gregory Slabaugh
£3,519,133 NIHR National Institute for Health Research (01-12-2022 - 30-11-2027)
Multimodal 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)
BBSRC CTP Studentship: Nasim Mohamed Ismail Studentship - MSDGregory Slabaugh and Emma Tjong
£10,400 Merck (01-10-2023 - 30-09-2027)
EPSRC DTP Case Conversion - Industry Contribution: Senadeera DamithGregory Slabaugh
£35,668 Remark AI Remark AI UK Limited (01-10-2023 - 30-09-2027)
CTP Training Grant: William DeeGregory Slabaugh
£123,282 BBSRC Biotechnology and Biological Sciences Research Council (01-10-2022 - 30-09-2026)
BBSRC AIDD CTP CASE Award: William DeeGregory Slabaugh
£8,600 EXSCIENTIA LIMITED (26-09-2022 - 25-09-2026)
Development and Validation of Smartphone-Based Tools for Characterisation of Gait - QMUL-HUMA KTPCaroline Roney, Tsz Ho Tse, Dylan Morrissey, Stuart Miller, Trevor Prior and Gregory Slabaugh
£227,485 Innovate UK (10-04-2024 - 09-04-2026)
Developing Spatially Resolved Molecular Drug-Repurposing Assays for Treating Age-Related FrailtyJames Timmons, Peter McCormick and Gregory Slabaugh
£331,647 MRC Medical Research Council (30-09-2023 - 29-09-2025)
Innovate UK KTP - WiseAlexander Shestopaloff and Gregory Slabaugh
£219,928 Innovate UK (01-11-2022 - 31-10-2024)
Development of Multimodal Data Integration AlgorithmsGregory Slabaugh
£39,052 AZ AstraZeneca UK Limited (15-01-2024 - 15-08-2024)
KTP Capacity Building Competition 2022Akram Alomainy, Gregory Slabaugh, Alastair Noyce, Vahitha Abdul Salam and Viji Draviam Sastry
£34,544 Innovate UK (01-12-2022 - 31-03-2023)
KTP Capacity Enhancement: AKT2I with Keen-AIGregory Slabaugh
£34,708 Innovate UK (01-12-2022 - 31-03-2023)