Publications: Prof Gregory Slabaugh

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 ,

Bashir U, Wang C, Smillie R, Khan AKR, Ahmed HT, 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 Radiology106914 - 106914 .

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 .

Bevis L, Misghina S, Rauseo E, Lopez Barrera C, Plank G, Vigmond E, Loewe A, Karabelas E et al. ( 2024 ) . Development of a User-Friendly Pipeline for Constructing Atrial Models at Scale: Importance of the End-User for Clinical Uptake . https://cinc.org/final_program_papers_2024/ . Conference: Computing in Cardiology 2024 (CinC24) ( Karlsruhe, Germany ) from: 09/12/2024 to: 11/09/2024 , vol. 51 ,

Catley-Chandar S, Shaw R, Slabaugh G, Pérez-Pellitero E ( 2025 ) . RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF . Lecture Notes in Computer Science . Conference: European Conference on Computer Vision (2024) vol. 15070 , 54 - 71 .

Gaintseva T, Benning M, Slabaugh G ( 2024 ) . RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement . Computer Vision – ECCV 2024 , vol. 15137 , Springer Nature

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 ) ehae666.579 - ehae666.579 .

Cheng F, Rauseo E, Misghina S, Barrera C, Vigmond E, Slabaugh G, Aung N, Petersen S et al. ( 2024 ) . Biventricular modelling for investigating ventricular arrhythmias in silico . European Heart Journal . Conference: ESC 2024 vol. 45 , ehae666.3501 - ehae666.3501 .

Misghina S, Rauseo E, Barrera CE, Vigmond EJ, Slabaugh G, Aung N, Petersen SE, Munroe PB et al. ( 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 . Conference: ESC 2024 vol. 45 , ehae666.3504 - ehae666.3504 .

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 . Conference: ESC 2024 vol. 45 , ehae666.248 - ehae666.248 .

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 , 109162 - 109162 .

Chadalavada S, Rauseo E, Salih A, Naderi H, Khanji M, Vargas JD, Lee AM, Amir-Kalili A et al. ( 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 )

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 ,

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 Outcomesqcae069 - qcae069 .

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 ) 110511 - 110511 .

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 . Conference: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) vol. 00 , 4888 - 4897 .

Jin Y, Song X, Slabaugh G, Lucas S ( 2024 ) . Partial Advantage Estimator for Proximal Policy Optimization . IEEE Transactions on Games vol. PP , ( 99 ) 1 - 10 .

Khan A, Asad M, Benning M, Roney C, Slabaugh G ( 2024 ) . Crop and Couple: Cardiac Image Segmentation Using Interlinked Specialist Networks . Conference: 2024 IEEE International Symposium on Biomedical Imaging (ISBI) vol. 00 , 1 - 5 .

Alwazzan O, Patras I, Slabaugh G ( 2024 ) . FOAA: Flattened Outer Arithmetic Attention for Multimodal Tumor Classification . International Symposium on Biomedical Imaging vol. 00 , 1 - 5 .

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 . Conference: ACHD/Valve disease/Pericardial disease/Cardiomyopathya17 - a18 .

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 ,

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 ,

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 . Conference: Heart Rhythm Society vol. 21 , s568 - s568 .

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 .

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 , 106293 - 106293 .

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 , 104117 - 104117 .

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

Papadopoulou A, Harding D, Slabaugh G, Marouli E, Deloukas P ( 2024 ) . Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank . Heliyon vol. 10 , ( 7 )

Chadalavada S, Rauseo E, Salih A, Naderi H, Khanji M, Vargas JD, Lee AM, Amir-Kalili A et al. ( 2024 ) . 11 Visual quality control of assessment of AI-assisted high-volume CMR segmentation in the UK Biobank . Conference: Abstractsa5.1 - a5a5 .

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

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 . Conference: Medical Imaging with Deep Learning vol. 250 , 1927 - 1938 .

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 ( 2023 ) . Improving Dynamic HDR Imaging with Fusion Transformer . Proceedings of the AAAI Conference on Artificial Intelligence . Conference: Annual 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 .

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 . 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 . Lecture Notes in Computer Science . 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 . Lecture Notes in Computer Science . 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--the International Society for Optical Engineering . 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 .