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

solid heart iconPublications 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.  
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

solid heart iconGrants of specific relevance to Predictive in vitro Models
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)