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Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Prof Gregory Slabaugh

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Khan A, Asad M, Zolotarev A, Roney C, Mathur A, Benning M, 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 , vol. 14539 , Springer Nature
Jaffery OA, Horrach CV, Lagalante DJ, Thomas G, Slabaugh G, Melki L, Good WW, Roney CH ( 2023 ) . Subject-Specific Ablation of Pathologic Conduction Patterns Beyond the Pulmonary Veins: A Personalised Modelling Approach . 2016 Computing in Cardiology Conference (CinC) . Conference: 2023 Computing in Cardiology Conference (CinC) vol. 50 , 1 - 4 .
Slabaugh G, Beltran L, Rizvi H, Deloukas P, Marouli E ( 2023 ) . Applications of machine and deep learning to thyroid cytology and histopathology: a review . Frontiers in Oncology vol. 13 ,
Bransby KM, Slabaugh G, Bourantas C, Zhang Q ( 2023 ) . Joint Dense-Point Representation for Contour-Aware Graph Segmentation . Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 , vol. 14222 , Springer Nature
Rauseo E, Abdulkareem M, Khan A, Cooper J, Lee AM, Aung N, Slabaugh GG, Petersen SE ( 2023 ) . Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification . European Heart Journal - Cardiovascular Imaging vol. 24 , ( 10 ) 1363 - 1373 .
Chen R, Zheng B, Zhang H, Chen Q, Yan C, Slabaugh G, Yuan S . Improving Dynamic HDR Imaging with Fusion Transformer . Proceedings of the AAAI Conference on Artificial Intelligence . vol. 37 , 340 - 349 .
Arain Z, Iliodromiti S, Slabaugh G, David AL, Chowdhury TT ( 2023 ) . Machine learning and disease prediction in obstetrics . Current Research in Physiology vol. 6 ,
Khan A, Alwazzan O, Benning M, 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 , vol. 13586 , Springer Nature
Bransby KM, Tufaro V, Çap M, Slabaugh G, Bourantas C, Zhang Q ( 2023 ) . 3D Coronary Vessel Reconstruction from Bi-Plane Angiography Using Graph Convolutional Networks . Conference: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) vol. 00 , 1 - 5 .
Alwazzan O, Khan A, Patras I, Slabaugh G ( 2023 ) . MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading . Conference: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) vol. 00 , 1 - 5 .
Rauseo E, Salih A, Raisi-Estabragh Z, Aung N, Khanderia N, Slabaugh GG, Marshall CR, Neubauer S et al. ( 2023 ) . Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging . JACC Cardiovascular Imaging vol. 16 , ( 7 ) 905 - 915 .
Fu Q, Xie H, Qin Z, Slabaugh G, Tao X ( 2023 ) . Vector Quantized Semantic Communication System . IEEE Wireless Communications Letters1 - 1 .
Zheng B, Pan X, Zhang H, Zhou X, Slabaugh G, Yan C, Yuan S ( 2022 ) . DomainPlus: Cross Transform Domain Learning towards High Dynamic Range Imaging . Conference: Proceedings of the 30th ACM International Conference on Multimedia1954 - 1963 .
Zheng B, Yuan S, Yan C, Tian X, Zhang J, Sun Y, Liu L, Leonardis A et al. ( 2022 ) . Learning Frequency Domain Priors for Image Demoireing . IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 44 , ( 11 ) 7705 - 7717 .
Catley-Chandar S, Tanay T, Vandroux L, Leonardis A, Slabaugh G, Perez-Pellitero E ( 2022 ) . FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging . IEEE Transactions on Image Processing
Zheng B, Chen Q, Yuan S, Zhou X, Zhang H, Zhang J, Yan C, Slabaugh G ( 2022 ) . Constrained Predictive Filters for Single Image Bokeh Rendering . IEEE Transactions on Computational Imaging vol. 8 , 346 - 357 .
Tanay T, Sootla A, Maggioni M, Dokania PK, Torr PHS, Leonardis A, Slabaugh G ( 2022 ) . Diagnosing and Preventing Instabilities in Recurrent Video Processing . IEEE Transactions on Pattern Analysis and Machine Intelligence
Sun Y, Li L, Yao T, Lu T, Zheng B, Yan C, Zhang H, Bao Y et al. ( 2022 ) . Bidirectional difference locating and semantic consistency reasoning for change captioning . International Journal of Intelligent Systems vol. 37 , ( 5 ) 2969 - 2987 .
Zhao H, Zheng B, Yuan S, Zhang H, Yan C, Li L, Slabaugh G ( 2021 ) . CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement . IEEE Transactions on Circuits and Systems for Video Technology vol. 32 , ( 7 ) 4138 - 4149 .
Moran S, McDonagh S, Slabaugh G ( 2021 ) . CuRL: Neural curve layers for global image enhancement . Proceedings - International Conference on Pattern Recognition . Conference: International Conference on Pattern Recognition9796 - 9803 .
Liu L, Liu J, Yuan S, Slabaugh G, Leonardis A, Zhou W, Tian Q ( 2020 ) . Wavelet-Based Dual-Branch Network for Image Demoiréing . vol. 12358 , 86 - 102 .
Yuan S, Timofte R, Leonardis A, Slabaugh G, Luo X, Zhang J, Qu Y, Hong M et al. ( 2020 ) . NTIRE 2020 Challenge on Image Demoireing: Methods and Results . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) vol. 00 , 1882 - 1893 .
Zheng B, Yuan S, Slabaugh G, Leonardis A ( 2020 ) . Image Demoireing with Learnable Bandpass Filters . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 3633 - 3642 .
Isobe T, Li S, Jia X, Yuan S, Slabaugh G, Xu C, Li Y-L, Wang S et al. ( 2020 ) . Video Super-resolution with Temporal Group Attention . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) vol. 00 , 8005 - 8014 .
Liu L, Yuan S, Liu J, Bao L, Slabaugh G, Tian Q ( 2020 ) . Self-adaptively learning to Demoiré from focused and defocused image pairs . Advances in Neural Information Processing Systems . vol. 2020-December ,
Yuan S, Timofte R, Slabaugh G, Leonardis A ( 2019 ) . AIM 2019 Challenge on Image Demoireing: Dataset and Study . Conference: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) vol. 00 , 3526 - 3533 .
Yuan S, Timofte R, Slabaugh G, Leonardis A, Zheng B, Ye X, Tian X, Chen Y et al. ( 2019 ) . AIM 2019 Challenge on Image Demoireing: Methods and Results . Conference: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) vol. 00 , 3534 - 3545 .
Yang G, Zhuang X, Khan H, Nyktari E, Haldar S, Li L, Wage R, Ye X et al. ( 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 et al. ( 2018 ) . Fully automatic segmentation and objective assessment of atrial scars for long‐standing persistent atrial fibrillation patients using late gadolinium‐enhanced MRI . Medical Physics vol. 45 , ( 4 ) 1562 - 1576 .
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Ye X, Slabaugh G, Wong T et al. ( 2017 ) . A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images . Proceedings - International Symposium on Biomedical Imaging . Conference: International Symposium on Biomedical Imaging844 - 848 .
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Li L, Ye X, Slabaugh G et al. ( 2017 ) . Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients . Progress in Biomedical Optics and Imaging - Proceedings of SPIE . Conference: SPIE Medical Imaging vol. 10134 ,
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Li L, Ye X, Slabaugh G et al. ( 2017 ) . Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI . Progress in Biomedical Optics and Imaging - Proceedings of SPIE . Conference: SPIE Medical Imaging vol. 10133 ,
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Ye X, Slabaugh G, Wong T et al. ( 2017 ) . Segmenting atrial fibrosis from late gadolinium-enhanced cardiac MRI by deep-learned features with stacked sparse auto-encoders . Communications in Computer and Information Science . Conference: SPIE Medical Imaging vol. 723 , 195 - 206 .
Yang G, Ye X, Slabaugh G, Keegan J, Mohiaddin R, Firmin D ( 2016 ) . Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI . vol. 9680 , 179 - 190 .
Yang G, Ye X, Slabaugh G, Keegan J, Mohiaddin R, Firmin D ( 2016 ) . Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images . Proceedings of SPIE . Conference: Medical Imaging 2016: Image Processing vol. 9784 ,
Boone DJ, Halligan S, Roth HR, Hampshire TE, Helbren E, Slabaugh GG, McQuillan J, McClelland JR et al. ( 2013 ) . CT Colonography: External Clinical Validation of an Algorithm for Computer-assisted Prone and Supine Registration . Radiology vol. 268 , ( 3 ) 752 - 760 .
Ye X, Lin X, Dehmeshki J, Slabaugh G, Beddoe G ( 2009 ) . Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images . Biomedical Engineering, IEEE Transactions on vol. 56 , Article 7 , 1810 - 1820 .
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