Prof Greg Slabaugh
Director of the Digital Environment Research Institute
Digital Environment Research Institute
Queen Mary University of London
Queen Mary University of London
Research
Computer vision, Machine learning, Deep learning, Imaging
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
Gaintseva T, Benning M and Slabaugh G (2024). RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement. Computer Vision – ECCV 2024 Springer Nature
Jaffery OA, Zolotarev A, Barera CE, Rodero C, Niederer S, Slabaugh G, Good WW and Roney CH (2024). An in-silico comparison of anatomical and substrate based AF ablation using electro and optical flow mapping. Oxford University Press (OUP) European Heart Journal vol. 45, (Supplement_1) ehae666.579-ehae666.579.
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.
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,
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.
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.
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, Sanghvi MM, Slabaugh GG, Jensen MT, Aung N and Petersen SE (2024). Quality control of cardiac magnetic resonance imaging segmentation, feature tracking, aortic flow, and native T1 analysis using automated batch processing in the UK Biobank study. Oxford University Press (OUP) European Heart Journal - Imaging Methods and Practice vol. 2, (3)
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.
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.
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,
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,
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.
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.
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
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)
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.
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
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,
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.
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.
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.
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,
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
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
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.
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
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.
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
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.
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.
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
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.
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.
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.
Grants
Development 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)
Caroline Roney, Tsz Ho Tse, Dylan Morrissey, Stuart Miller, Trevor Prior and Gregory Slabaugh
£227,485 Innovate UK (10-04-2024 - 09-04-2026)