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Research

Publications: Prof Gregory Slabaugh

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 .
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 .
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
Zhao H, Zheng B, Yuan S, Zhang H, Yan C, Li L, Slabaugh G ( 2022 ) . 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 .
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 .
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 .
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 .
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 ,
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, Wage R, Ye X et al. ( 2017 ) . Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI .
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 ) . Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images . Progress in Biomedical Optics and Imaging - Proceedings of SPIE . vol. 9784 ,
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 . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . vol. 9680 , 179 - 190 .
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 .