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 Models2024
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_62023
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.2023.958310Rauseo 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/jead218Rauseo 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.2023.01.016Fu 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.2023.3255221Arain 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.2023.100099Khan 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_7Bransby 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_502022
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.2021.3115139Catley-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.2022.3203562Zheng 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.2022.3171417Tanay 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.2022.3160350Sun 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.228212021
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.2021.31236212018
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 10.1201/9780429441493-6Yang 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.128322013
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.131220832009
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.2009.2017027Grants
Collaborative Training Partnership in AI for Drug DiscoverySlabaugh G
Biotechnology and Biological Sciences Research Council (01-09-2022 - 31-08-2029)
AI detection of druggable features from high content imaging dataSlabaugh GG and Dee W
Biotechnology and Biological Sciences Research Council (25-09-2022 - 29-09-2026)
An Ecosystem for Digital Twins in Healthcare - EDITH PlatformSlabaugh G
European Commission (01-04-2023 - 31-03-2025)
Accelerated Knowledge Transfer to Innovate (AKT2I) with Keen AISlabaugh G
Innovate UK (01-12-2022 - 30-03-2023)