Publications: PROF Gregory Slabaugh

Littlewood K, Gegic J, Hickman M, Henson RCJ, Bishop JR, Kershaw T, Diamond P, Slabaugh G et al. ( 2025 ) . Metabolic dysfunction over a life course key to healthy ageing inequality . Aging Clinical and Experimental Research vol. 37 , ( 1 ) Article 191 ,

Bashir U, Wang C, Smillie R, Rayabat Khan AK, Tamer Ahmed H, Ordidge K, Power N, Gerlinger M et al. ( 2025 ) . Deep learning for liver lesion segmentation and classification on staging CT scans of colorectal cancer patients: a multi-site technical validation study . Clinical Radiology vol. 85 , Article 106914 , 106914 - 106914 .

Fu Q, Yang X, Asad M, Oh C, Yuan S, Slabaugh G ( 2025 ) . Adaptive Multi-modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss . Lecture Notes in Computer Science , Springer Nature Switzerland

Zolotarev A, Johnson K, Khan A, Slabaugh G, Roney C ( 2025 ) . An Ensemble of 3D Residual Encoder UNet Models for Solving Multi-class Bi-atrial Segmentation Challenge . Lecture Notes in Computer Science , Springer Nature Switzerland

( 2025 ) . Clinical phenotypes in hypertension: a data-driven approach to risk stratification and outcome prediction .

Awais M, Hameed MS, Bhattacharya B, Reiner O, Slabaugh G, Anwer RM ( 2025 ) . BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases . 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) . Conference: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) from: 14/04/2025 to: 17/04/2025 , 1 - 5 .

Zolotarev AM, Johnson K, Mohammad Y, Alwazzan O, Slabaugh G, Roney CH ( 2025 ) . Synthetic fibrosis distributions for data augmentation in predicting atrial fibrillation ablation outcomes: an in silico study . Frontiers in Cardiovascular Medicine vol. 12 , Article 1512356 ,

Jaffery OA, Barrera CE, Zolotarev A, Good WW, Rodero C, Slabaugh G, Vigmond EJ, Niederer S et al. ( 2025 ) . PO-05-017 A CONSENSUS BASED ELECTRO-OPTIC FLOW ABLATION STRATEGY FOR PERSISTENT AF . Heart Rhythm vol. 22 , ( 4 ) S568 - S569 .

( 2025 ) . PO-FP-077 INVESTIGATING BORDER ZONE EFFECTS ON VENTRICULAR LOCAL ACTIVATION TIME USING IMAGING AND ELECTRICAL DATA DIGITAL TWINS . Heart Rhythm vol. 22 , ( 4 ) S113 - S113 .

Gallagher-Syed A, Senior H, Alwazzan O, Pontarini E, Bombardieri M, Pitzalis C, Lewis MJ, Barnes MR et al. ( 2025 ) . BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology .

Jin Y, Song X, Slabaugh G, Lucas S ( 2025 ) . Partial Advantage Estimator for Proximal Policy Optimization . IEEE Transactions on Games vol. 17 , ( 1 ) 158 - 166 .

Khan A, Asad M, Benning M, Roney C, Slabaugh G ( 2025 ) . CAMS: Convolution and Attention-Free Mamba-Based Cardiac Image Segmentation . 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) . Conference: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) from: 26/02/2025 to: 06/03/2025 , 1893 - 1903 .

Khan A, Asad M, Benning M, Roney C, Slabaugh G ( 2025 ) . Compositional Segmentation of Cardiac Images Leveraging Metadata . 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) . Conference: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) from: 26/02/2025 to: 06/03/2025 , 9489 - 9498 .

Zhang L, Chen C, Li Z, Slabaugh G ( 2025 ) . Generative Machine Learning Models in Medical Image Computing .

Zhang L, Chen C, Li Z, Slabaugh G ( 2025 ) . Preface . Generative Machine Learning Models in Medical Image Computingv - vi .

Drummond D, Adejumo I, Hansen K, Poberezhets V, Slabaugh G, Hui CY ( 2024 ) . Artificial intelligence in respiratory care: perspectives on critical opportunities and challenges . Breathe vol. 20 , ( 3 ) 230189 - 230189 .

Shyam-Sundar V, Slabaugh G, Mohiddin SA, Petersen SE, Aung N ( 2024 ) . Clinical features, myocardial injury and systolic impairment in acute myocarditis . Open Heart vol. 11 , ( 2 ) e002901 - e002901 .

. Development of a User-Friendly Pipeline for Constructing Atrial Models at Scale: Importance of the End-User for Clinical Uptake . Computing in Cardiology Conference (CinC) . Conference: 2024 Computing in Cardiology Conference vol. 51 ,

Catley-Chandar S, Shaw R, Slabaugh G, Pérez-Pellitero E ( 2025 ) . RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF . 54 - 71 .

Alwazzan O, Gallagher-Syed A, Millner TO, Brandner S, Patras I, Marino S, Slabaugh G ( 2024 ) . Multimodal Outer Arithmetic Block Dual Fusion of Whole Slide Images and Omics Data for Precision Oncology .

Gaintseva T, Benning M, Slabaugh G ( 2024 ) . RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement . Lecture Notes in Computer Science , Springer Nature Switzerland

Bransby KM, Bajaj R, Ramasamy A, Çap M, Yap N, Slabaugh G, Bourantas C, Zhang Q ( 2024 ) . POLYCORE: Polygon-based contour refinement for improved Intravascular Ultrasound Segmentation . Computers in Biology and Medicine vol. 182 , Article 109162 , 109162 - 109162 .

Khan A, Asad M, Benning M, Roney C, Slabaugh G ( 2024 ) . Compositional Segmentation of Cardiac Images Leveraging Metadata .

Jaffery OA, Zolotarev A, Barera CE, Rodero C, Niederer S, Slabaugh G, Good WW, Roney CH ( 2024 ) . An in-silico comparison of anatomical and substrate based AF ablation using electro and optical flow mapping . European Heart Journal vol. 45 , ( Supplement_1 ) Article ehae666.579 ,

( 2024 ) . Biventricular modelling for investigating ventricular arrhythmias in silico . European Heart Journal . vol. 45 ,

( 2024 ) . Clustering analysis based on clinically available data for improving risk stratification and outcome prediction of hypertension . European Heart Journal . vol. 45 ,

Gallagher-Syed A, Pontarini E, Lewis MJ, Barnes MR, Slabaugh G ( 2024 ) . Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology? .

( 2024 ) . In-silico insights into personalised therapy selection of anti-arrhythmic drugs and ablation using patient-specific biatrial models for atrial fibrillation . European Heart Journal . vol. 45 ,

Shyam-Sundar V, Nicholls H, Chadalavada S, Vargas J, Slabaugh G, Mohiddin S, Petersen S, Aung N ( 2024 ) . The impact of multimorbidity on cardiac remodelling in the UK Biobank . European Heart Journal . vol. 45 ,

( 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 . European Heart Journal - Imaging Methods and Practice vol. 2 , ( 3 ) Article qyae094 ,

Shyam-Sundar V, Harding D, Khan A, Abdulkareem M, Slabaugh G, Mohiddin SA, Petersen SE, Aung N ( 2024 ) . Imaging for the diagnosis of acute myocarditis: can artificial intelligence improve diagnostic performance? . Frontiers in Cardiovascular Medicine vol. 11 , Article 1408574 ,

Shyam-Sundar V, Mahmood A, Slabaugh G, Chahal A, Petersen SE, Aung N, Mohiddin SA, Khanji MY ( 2024 ) . Management of acute myocarditis: a systematic review of clinical practice guidelines and recommendations . European Heart Journal - Quality of Care and Clinical Outcomes vol. 10 , ( 8 ) 658 - 668 .

Dee W, Sequeira I, Lobley A, Slabaugh G ( 2024 ) . Cell-vision fusion: A Swin transformer-based approach for predicting kinase inhibitor mechanism of action from Cell Painting data . iScience vol. 27 , ( 8 ) Article 110511 , 110511 - 110511 .

Jawaid MM, Narejo S, Riaz F, Reyes-Aldasoro CC, Slabaugh G, Brown J ( 2024 ) . Non-calcified plaque-based coronary stenosis grading in contrast enhanced CT . Medical Engineering & Physics vol. 129 , Article 104182 , 104182 - 104182 .

Zhang Q, Zheng B, Li Z, Liu Y, Zhu Z, Slabaugh G, Yuan S ( 2024 ) . Non-local degradation modeling for spatially adaptive single image super-resolution . Neural Networks vol. 175 , Article 106293 , 106293 - 106293 .

( 2024 ) . Ischemic heart disease and cardiac arrhythmia are associated with increased cardiac aging .

Senadeera DC, Yang X, Kollias D, Slabaugh G ( 2024 ) . CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention . 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . Conference: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) from: 17/06/2024 to: 18/06/2024 , 4888 - 4897 .

Khan A, Asad M, Benning M, Roney C, Slabaugh G ( 2024 ) . CAMS: Convolution and Attention-Free Mamba-based Cardiac Image Segmentation .

Shyam-Sundar V, Nicholls H, Harding D, Slabaugh G, Mohiddin S, Petersen S, Aung N ( 2024 ) . 14 A single centre retrospective study of patients presenting with acute forms of myocarditis: insights from clinical and cardiac MRI data . ACHD/Valve disease/Pericardial disease/Cardiomyopathy . Conference: British Cardiovascular Society Annual Conference, ‘Back to the patient’, 3–5 June 2024A17 - A18 .

Khan A, Asad M, Benning M, Roney C, Slabaugh G ( 2024 ) . Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks . 2024 IEEE International Symposium on Biomedical Imaging (ISBI) . Conference: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) from: 27/05/2024 to: 30/05/2024 , 1 - 5 .

Jaffery OA, Melki L, Slabaugh G, Good WW, Roney CH ( 2024 ) . A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data . Arrhythmia & Electrophysiology Review vol. 13 , Article e08 ,

Jaffery OA, Barrera CE, Rodero C, Zolotarev A, Good WW, Slabaugh G, Niederer S, Vigmond EJ et al. ( 2024 ) . PO-05-163 TOWARDS AUTOMATED GENERATION OF ABLATION LESION MASKS: A UNISON OF ELECTRO AND OPTIC FLOW MAPPING . Heart Rhythm . vol. 21 , S568 - S568 .

Senadeera DC, Yang X, Kollias D, Slabaugh G ( 2024 ) . CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention .

Khan A, Asad M, Benning M, Roney C, Slabaugh G ( 2024 ) . Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors .

Chen Q, Zheng B, Yan C, Zhu Z, Wang T, Slabaugh G, Yuan S ( 2024 ) . GoLDFormer: A global–local deformable window transformer for efficient image restoration . Journal of Visual Communication and Image Representation vol. 100 , Article 104117 , 104117 - 104117 .

Senior H, Slabaugh G, Yuan S, Rossi L ( 2024 ) . Graph neural networks in vision-language image understanding: a survey . The Visual Computer vol. 41 , ( 1 ) 491 - 516 .

( 2024 ) . 11 Visual quality control of assessment of AI-assisted high-volume CMR segmentation in the UK Biobank . Abstracts . Conference: British Society of Cardiovascular Magnetic Resonance (BSCMR) Annual Congress 2023A5.1 - A5 .

Alwazzan O, Patras I, Slabaugh G ( 2024 ) . FOAA: Flattened Outer Arithmetic Attention For Multimodal Tumor Classification .

Alwazzan O, Khan A, Patras I, Slabaugh G ( 2024 ) . MOAB: Multi-Modal Outer Arithmetic Block For Fusion Of Histopathological Images And Genetic Data For Brain Tumor Grading .

Chiang C-Y, Jaber M, Slabaugh G, Fathy Y ( 2024 ) . A low complexity contextual stacked ensemble-learning approach for pedestrian intent prediction .

Khan A, Asad M, Benning M, Roney C, Slabaugh G ( 2024 ) . Crop and Couple: cardiac image segmentation using interlinked specialist networks .

Khan A, Asad M, Zolotarev A, Roney C, Mathur A, Benning M, Slabaugh G ( 2024 ) . Misclassification Loss for Segmentation of the Aortic Vessel Tree . Lecture Notes in Computer Science , Springer Nature Switzerland

Anselmi M, Slabaugh G, Crespo-Otero R, Di Tommaso D ( 2024 ) . Molecular Graph Transformer: Stepping Beyond ALIGNN Into Long-Range Interactions .

Alwazzan O, Patras I, Slabaugh GG ( 2024 ) . FOAA: Flattened Outer Arithmetic Attention For Multimodal Tumor Classification . CoRR vol. abs/2403.06339 ,

Anselmi M, Slabaugh G, Crespo-Otero R, Di Tommaso D ( 2024 ) . Molecular graph transformer: stepping beyond ALIGNN into long-range interactions . Digital Discovery vol. 3 , ( 5 ) 1048 - 1057 .

Zolotarev AM, Khan AKR, Slabaugh G, Roney CH ( 2024 ) . Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Cardiac Digital Twins . Proceedings of Machine Learning Research . vol. 250 , 1927 - 1938 .

Vetter SD, Schurman CA, Alliston T, Slabaugh GG, Verbruggen SW ( 2023 ) . Deep learning models to map osteocyte networks can successfully distinguish between young and aged bone .

Dee W, Sequeira I, Lobley A, Slabaugh G ( 2023 ) . Cell-Vision Fusion: A Swin Transformer-based Approach to Predicting Kinase Inhibitor Mechanism of Action from Cell Painting Data .

Ahmed Jaffery O, Vidal Horrach C, J. Lagalante D, Thomas G, Slabaugh G, Melki L, W. Good W, H. Roney C . Subject-Specific Ablation of Pathologic Conduction Patterns beyond the Pulmonary Veins: A Personalised Modelling Approach . Computing in Cardiology Conference (CinC) . Conference: 2023 Computing in Cardiology Conference

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 , Article 958310 ,

Bransby KM, Slabaugh G, Bourantas C, Zhang Q ( 2023 ) . Joint Dense-Point Representation for Contour-Aware Graph Segmentation . Lecture Notes in Computer Science , Springer Nature Switzerland

Gallagher-Syed A, Rossi L, Rivellese F, Pitzalis C, Lewis M, Barnes M, Slabaugh G ( 2023 ) . MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images .

Gallagher-Syed A, Khan A, Rivellese F, Pitzalis C, Lewis MJ, Slabaugh G, Barnes MR ( 2023 ) . Automated segmentation of rheumatoid arthritis immunohistochemistry stained synovial tissue .

( 2023 ) . Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification . European Heart Journal - Cardiovascular Imaging vol. 24 , ( 10 ) 1363 - 1373 .

( 2023 ) . Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging . JACC: Cardiovascular Imaging vol. 16 , ( 7 ) 905 - 915 .

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 .

Bransby KM, Slabaugh G, Bourantas C, Zhang Q ( 2023 ) . Joint Dense-Point Representation for Contour-Aware Graph Segmentation .

Fu Q, Xie H, Qin Z, Slabaugh G, Tao X ( 2023 ) . Vector Quantized Semantic Communication System . IEEE Wireless Communications Letters vol. 12 , ( 6 ) 982 - 986 .

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 . Lecture Notes in Computer Science , Springer Nature Switzerland

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 . 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) . Conference: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) from: 18/04/2023 to: 21/04/2023 , 1 - 5 .

Senior H, Slabaugh G, Yuan S, Rossi L ( 2023 ) . Graph Neural Networks in Vision-Language Image Understanding: A Survey .

Bransby KM, Tufaro V, Cap M, Slabaugh G, Bourantas C, Zhang Q ( 2023 ) . 3D Coronary Vessel Reconstruction from Bi-Plane Angiography using Graph Convolutional Networks .

Tanay T, Sootla A, Maggioni M, Dokania PK, Torr P, Leonardis A, Slabaugh G ( 2023 ) . Diagnosing and Preventing Instabilities in Recurrent Video Processing . IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 45 , ( 2 ) 1594 - 1605 .

Alwazzan O, Khan A, Patras I, Slabaugh GG ( 2023 ) . MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading . ISBI . 1 - 5 .

Arain Z, Iliodromiti S, Slabaugh G, David AL, Chowdhury TT ( 2023 ) . Machine learning and disease prediction in obstetrics . Current Research in Physiology vol. 6 , Article 100099 , 100099 - 100099 .

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 .

Papadopoulou A, Harding D, Slabaugh G, Marouli E, Deloukas P ( 2022 ) . Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank .

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 . Proceedings of the 30th ACM International Conference on Multimedia . Conference: MM '22: The 30th ACM International Conference on Multimedia1954 - 1963 .

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 .

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 .

Catley-Chandar S, Tanay T, Vandroux L, Leonardis A, Slabaugh G, Perez-Pellitero E ( 2022 ) . FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging . IEEE Transactions on Image Processing vol. 31 , 5923 - 5935 .

De Lange M, Aljundi R, Masana M, Parisot S, Jia X, Leonardis A, Slabaugh G, Tuytelaars T ( 2021 ) . A Continual Learning Survey: Defying Forgetting in Classification Tasks . IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 44 , ( 7 )

Moran S, McDonagh S, Slabaugh G ( 2021 ) . CURL: Neural Curve Layers for Global Image Enhancement . 2020 25th International Conference on Pattern Recognition (ICPR) . Conference: 2020 25th International Conference on Pattern Recognition (ICPR) from: 10/01/2021 to: 15/01/2021 , 9796 - 9803 .

Liu L, Liu J, Yuan S, Slabaugh G, Leonardis A, Zhou W, Tian Q ( 2020 ) . Wavelet-Based Dual-Branch Network for Image Demoiréing . 86 - 102 .

Liu L, Yuan S, Liu J, Bao L, Slabaugh G, Tian Q ( 2020 ) . Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs .

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 .

Liu L, Liu J, Yuan S, Slabaugh G, Leonardis A, Zhou W, Tian Q ( 2020 ) . Wavelet-Based Dual-Branch Network for Image Demoireing .

Zheng B, Yuan S, Slabaugh G, Leonardis A ( 2020 ) . Image Demoireing with Learnable Bandpass Filters . 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) from: 13/06/2020 to: 19/06/2020 , 3633 - 3642 .

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 . 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) from: 14/06/2020 to: 19/06/2020 , 1882 - 1893 .

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 . 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . Conference: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) from: 13/06/2020 to: 19/06/2020 , 8005 - 8014 .

Zheng B, Yuan S, Slabaugh G, Leonardis A ( 2020 ) . Image Demoireing with Learnable Bandpass Filters .

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 .

Yuan S, Timofte R, Slabaugh G, Leonardis A ( 2019 ) . AIM 2019 Challenge on Image Demoireing: Dataset and Study . 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) . Conference: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) from: 27/10/2019 to: 28/10/2019 , 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 . 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) . Conference: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) from: 27/10/2019 to: 28/10/2019 , 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 , CRC Press

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 <scp>MRI</scp> . 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 ) . Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders . 195 - 206 .

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, 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 . 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) . Conference: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) from: 18/04/2017 to: 21/04/2017 , 844 - 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 . SPIE Proceedings . Conference: SPIE Medical Imaging vol. 10134 , 101340O - 101340O .

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 . SPIE Proceedings . Conference: SPIE Medical Imaging vol. 10133 , 1013313 - 1013313 .

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 . 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 . SPIE Proceedings . Conference: SPIE Medical Imaging vol. 9784 , 97840L - 97840L .

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 .

Xujiong Ye, Xinyu Lin, Dehmeshki J, Slabaugh G, Beddoe G ( 2009 ) . Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images . IEEE Transactions on Biomedical Engineering vol. 56 , ( 7 ) 1810 - 1820 .

Papadopoulou A, Harding D, Slabaugh G, Marouli E, Deloukas P . Prediction of Atrial Fibrillation and Stroke Using Machine Learning Models in UK Biobank .