Greg Slabaugh, Publications

2026

HandSCS: Structural Coordinate Space for Animatable Hand Gaussian Splatting, Yilan Dong, Wenqing Wang, Qing Wang, Jiahao Yang, Haohe Liu, Xiatian Zhu, Gregory Slabaugh, Shanxin Yuan, European Conference on Computer Vision (ECCV), 2026.

FairSteer: Cross-Attention Steering Towards a Fairer Text-Guided Image Generation, Tatiana Gaintseva, Akshit Achara, Gregory Slabaugh, Jiankang Deng, Ismail Elezi, European Conference on Computer Vision (ECCV), 2026.

Mechanistic Interventions for Explainable Digital Pathology Uncovers Adversarial Vulnerabilities, Arijit Patra, Samiran Dey, Ajitha Rajan, Gregory Slabaugh, Tapabrata Chakraborti, European Conference on Computer Vision (ECCV), 2026.

SHOT-CCR: Biologically Guided Adversarial Training for Test-time Adaptation in Cellular Morphology, William Dee, Aaron Wenteler, Srijit Seal, Otto Morris, Gregory Slabaugh, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026.

MidSteer: Optimal Affine Framework for Steering Generative Models, Tatiana Gaintseva, Andrew Stepanov, Ziquan Liu, Martin Benning, Gregory Slabaugh, Jiankang Deng, Ismail Elezi, International Conference on Machine Learning (ICML), 2026.

CAsteer: Steering Diffusion Models for Controllable Generation, Tatiana Gaintseva, Chengcheng Ma, Ziquan Liu, Martin Benning, Gregory Slabaugh, Jiankang Deng, Ismail Elezi, International Conference on Learning Representations (ICLR), 2026.

Counting Cells can Accurately Predict Small-molecule Bioactivity Benchmarks, Srijit Seal, William Dee, Adit Shah, Natacha Cerisier, Andrew Zhang, Esteban Miglietta, Katherine Titterton, Ángel Alexander Cabrera, Daniil Boiko, Alex Beatson, Gregory Slabaugh, Olivier Taboureau, Jordi Carreras Puigvert, Shantanu Singh, Ola Spjuth, Andreas Bender, Anne E Carpenter, Nature Communications, 2026.

IntraCross: Cross-modality Graph Matching for Intravascular Sequence Registration, Kit Mills Bransby, Xingwei He, Christos V Bourantas, Ahmet Emir Ulutas, Nathan Yap, Ryota Kakizaki, Yasushi Ueki, Jonas Häner, Konstantinos C Koskinas, Jouke Dijkstra, Gregory Slabaugh, Lorenz Räber, Qianni Zhang, Computers in Biology and Medicine, 2026.

Safe Intelligent Vehicles: Intent Is What We Need, Ruikang Zhong, Chia-Yen Chiang, Yasmin Fathy, Gregory Slabaugh, Mona Jaber, IEEE Intelligent Transportation Systems Magazine, 2026.

Adapter-rl: Adaptation of any agent using reinforcement learning, Yizhao Jin, Gregory Slabaugh, Simon Lucas, IEEE Transactions on Games, 2026.

Deep learning models to map osteocyte networks from confocal microscopy can successfully distinguish between young and aged bone, Simon D Vetter, Charles A Schurman, Tamara Alliston, Gregory Slabaugh, Stefaan W Verbruggen, PLOS Computational Biology, 2026.

Clinical Phenotypes in Hypertension: A Data-driven Approach to Risk Stratification, Elisa Rauseo, Ahmed M Salih, Jackie Cooper, Musa Abdulkareem, Christopher RS Banerji, Sucharitha Chadalavada, Hafiz Naderi, Patricia B Munroe, Anthony Mathur, Nay Aung, Gregory G Slabaugh, Steffen E Petersen, Hypertension, 2026.

Shape Atlas for In-Silico Population, Semhar Misghina, Alexander Zolotarev, Gregory Slabaugh, Nay Aung, Steffen E Petersen, Patricia B Munroe, Caroline Roney, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge, held in conjunction with MICCAI, 2026.

A systematic review of multimodal machine learning models for heart failure classification and prognosis prediction, Manh Thang Hoang, Yang Chen, Gregory Slabaugh, Nay Aung, Frontiers in Cardiovascular Medicine, 2026.

Myocarditis in 2025: ESC Guidelines Advance the Field and Highlight the Opportunity for Evidence to Follow, Vijay Shyam-Sundar, Gregory Slabaugh, Steffen E Petersen, Nay Aung, Saidi A Mohiddin, Mohammed Y Khanji, European Heart Journal‐Quality of Care and Clinical Outcomes, 2026.

Understanding the mechanisms of TAVI durability through computational modelling: a multidisciplinary review, Elisa Rauseo, Laura Bevis, Xu Chen, Steffen E Petersen, Anthony Mathur, Gregory G Slabaugh, Caroline H Roney, European Heart Journal-Digital Health, 2026.

Dual Branch Videomamba with Gated Class Token Fusion for Violence Detection, Damith Chamalke Senadeera, Xiaoyun Yang, Shibo Li, Muhammad Awais, Dimitrios Kollias, Gregory Slabaugh, Advanced Visual and Signal-Based Systems (AVSS) Conference, 2026.

A Standardised Pipeline for Patient-Specific Aortic Flow Modelling: Turbulent Flow Patterns in Transcatheter Aortic Valve Implantation Therapy, Laura Bevis, Elias Karabelas, Elisa Rauseo, Abbas Khan, Xu Chen, Richard Burns, Kush P Patel, Yousaf Bhatti, Steffen E Petersen, Christoph M Augustin, Aurel Neic, Gernot Plank, Gregory Slabaugh, Anthony Mathur, Caroline H Roney, Computing in Cardiology, 2026.

Accelerating discovery through integration: a DFT validated machine learning framework for screening MOF photocatalysts, Marco Anselmi, Gregory Slabaugh, Rachel Crespo-Otero, Devis Di Tommaso, Journal of Materials Chemistry A, 2026.

Automated generation of ablation lesion masks: a unison of electro and optic flow mapping for persistent AF virtual cohorts, Ovais Ahmed Jaffery, Carlos E Lopez-Barrera, Cristobal Rodero, Alexander M Zolotarev, Wilson W Good, Gregory Slabaugh, Steven Niederer, Edward J Vigmond, Caroline H Roney, Europace, 2026.

2025

ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs, Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay, Zhensong Zhang, Gregory Slabaugh, Eduardo Pérez-Pellitero, Neural Information Processing Systems (NeurIPS), 2025.

STaR: Seamless Spatial-Temporal Aware Motion Retargeting with Penetration and Consistency Constraints, Xiaohang Yang, Qing Wang, Jiahao Yang, Gregory Slabaugh, Shanxin Yuan, International Conference on Computer Vision (ICCV), 2025.

XFMamba: Cross-Fusion Mamba for Multi-View Medical Image Classification, Xiaoyu Zheng, Xu Chen, Shaogang Gong, Xavier Griffin, Greg Slabaugh, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025.

BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology, Amaya Gallagher-Syed, Henry Senior, Omnia Alwazzan, Elena Pontarini, Michele Bombardieri, Costantino Pitzalis, Myles J. Lewis, Michael R Barnes, Luca Rossi, Gregory Slabaugh, Computer Vision and Pattern Recognition (CVPR), 2025.

Towards deployment-centric multimodal AI beyond vision and language, Xianyuan Liu, Jiayang Zhang, ..., Gregory G Slabaugh, Roger K Moore, William K Cheung, Peter H Charlton, Haiping Lu, Nature Machine Intelligence, 2025.

Robust Photo-Realistic Hand Gesture Generation: from Single View to Multiple View, Qifan Fu, Xu Chen, Muhammad Asad, Shanxin Yuan, Changjae Oh, Gregory Slabaugh, ACM Multimedia (ACMMM), 2025.

Compositional Cardiac Image Segmentation Leveraging Metadata, Abbas Khan, Muhammad Asad, Martin Benning, Caroline Roney, Gregory Slabaugh, Winter Conference Applications on Computer Vision (WACV), 2025.

CAMS: Convolution and Attention-Free Mamba-based Cardiac Image Segmentation, Abbas Khan, Muhammad Asad, Martin Benning, Caroline Roney, Gregory Slabaugh, Winter Conference Applications on Computer Vision (WACV), 2025.

Supercap: Multi-resolution superpixel-based image captioning, Henry Senior, Luca Rossi, Gregory Slabaugh, Shanxin Yuan, Asian Conference on Pattern Recognition, 2025.

BloodImage: Benchmarking vision transformers for blast detection in digital blood films using public and clinical datasets, Concetta Piazzese, Sophie Williams, Gregory Slabaugh, Timothy Farren, Tanya Freeman, Laura Aiken, Juswal Dadhra, Stefan Browne, Simon Deltadahl, Suthesh Sivapalaratnam, BloodCounts! Consortium, Journal of Pathology Informatics, 2025.

Deep Learning for Liver Lesion Segmentation and Classification on Staging CT Scans of Colorectal Cancer Patients: A Multi-site Technical Validation Study, Usman Bashir, Chao Wang, Robert Smillie, Abbas Khan Rayabat Khan, Hanya Tamer Ahmed, Katherine Ordidge, Niall Power, Marco Gerlinger, Greg Slabaugh, and Qianni Zhang, Clinical Radiology, 2025.

Synthetic Fibrosis Distributions for Data Augmentation in Predicting Atrial Fibrillation Ablation Outcomes: an In-silico Study, Alexander Zolotarev, Kiane Johnson, Yusuf Mohhamad, Omnia Alwazzan, Greg Slabaugh and Caroline Roney, Frontiers in Cardiovascular Medicine, 2025.

BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases, Awais Muhammad, Mehaboobathunnisa Sahul Hamee, Bidisha Bhattacharya, Orly Reiner, Gregory Slabaugh, Rao Muhammad Anwer, International Symposium on Biomedical Imaging (ISBI), 2025.

Metabolic dysfunction over a life course key to healthy ageing inequality, Katie Littlewood, Jasleen Gegic, Mike Hickman, Richard CJ Henson, Jaime R Bishop, Tim Kershaw, Patrick Diamond, Greg Slabaugh, Emmanouil Tranos, Aphrodite Vasilaki, Daniel Tennant, Emilie Courtin, Li F Chan, Sian M Henson, Aging Clinical and Experimental Research, 2025.

2024

RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement, Tatiana Gaintseva, Martin Benning, Gregory Slabaugh, European Conference on Computer Vision (ECCV), 2024.

RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF, Sibi Catley-Chandar, Richard Shaw, Gregory Slabaugh, Eduardo Perez-Pellitero, European Conference on Computer Vision (ECCV), 2024.

POLYCORE: Polygon-based Contour Refinement for Improved Intravascular Ultrasound Segmentation, Kit Mills Bransby, Retesh Bajaj, Anantharaman Ramasamy, Murat Cap, Nathan Yap, Gregory Slabaugh, Christos Bourantas, Qianni Zhang, Computers in Biology and Medicine, 2024.

UNet Models for Solving Multi-class Bi-atrial Segmentation Challenge, Alexander Zolotarev Kiane Johnson, Abbas Khan, Gregory Slabaugh and Caroline Roney, Statistical Atlases and Computational Models of the Heart Workshop, 2024.

Clinical Features and Adverse Imaging Characteristics in Acute Myocarditis, Vijay Shyam-Sundar, Greg Slabaugh, Saidi Mohiddin, Steffen Petersen, Nay Aung, Open Heart, 2024.

Molecular Graph Transformer: Stepping Beyond ALIGNN Into Long-Range Interactions, Marco Anselmi,Greg Slabaugh, Rachel Crespo-Otero, Devis Di Tommaso, Digital Discovery, 2024.

Non-local Degradation Modeling for Spatially Adaptive Single Image Super-resolution, Qianyu Zhang, Bolun Zheng, Zongpeng Li, Yu Liu, Zunjie Zhu, Gregory Slabaugh, Shanxin Yuan, Neural Networks, 2024.

Imaging for the Diagnosis of Acute Myocarditis: Can artificial intelligence improve diagnostic performance?, Vijay Shyam-Sundar, Daniel Harding, Abbas Khan, Musa Abdulkareem, Greg Slabaugh, Saidi Mohiddin, Steffen E. Petersen, Nay Aung, Frontiers in Cariovascular Medicine, 2024.

Partial Advantage Estimator for Proximal Policy Optimization, Yizhao Jin, Xiulei Song, Gregory Slabaugh, Simon Lucas, IEEE Transactions on Games, 2024.

Graph Neural Networks in Vision-Language Image Understanding: A Survey, Henry Senior, Gregory Slabaugh, Shanxin Yuan, Luca Rossi, The Visual Computer, 2024.

GoLDFormer: A Global–Local Deformable Window Transformer for Efficient Image Restoration, Quan Chen, Bolun Zheng, Chenggang Yan, Zunjie Zhu, Tingyu Wang, Gregory Slabaugh, Shanxin Yuan, Journal of Visual Communication and Image Representation, 2024.

Non-calcified Plaque-based Coronary Stenosis Grading in Contrast Enhanced CT, Muhammad Moazzam Jawaid, Sanam Narejo, Farhan Riaz, Constantino Carlos Reyes-Aldasoro, Greg Slabaugh, James Brown, Medical Engineering & Physics, 2024.

A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data, Ovais A Jaffery,Lea Melki,Gregory Slabaugh,Wilson W Good,and Caroline H Roney, Arrhythmia & Electrophysiology Review (AER), 2024.

Predicting Atrial Fibrillation Treatment Outcome with Siamese Multi-modal Fusion and Digital Twins, Alexander M. Zolotarev, Abbas Khan Rayabat Khan, Gregory Slabaugh, Caroline Roney Medical Imaging with Deep Learning (MIDL), 2024.

FOAA: Flattened Outer Arithmetic Attention for Multimodal Tumor Classification, Omnia Alwazzan, Yiannis Patras, Gregory Slabaugh, International Symposium on Biomedical Imaging (ISBI), 2024.

Crop and Couple: Cardiac Image Segmentation using Interlinked Specialist Networks, Abbas Khan, Muhammad Asad, Martin Benning, Caroline Roney, Gregory Slabaugh, International Symposium on Biomedical Imaging (ISBI), 2024.

CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention, Damith C Senadeera, Xiaoyun Yang, Dimitrios Kollias, Gregory Slabaugh, Computer Vision and Pattern Recognition Workshops (CVPRW), 2024.

Adaptive Multi-Modal Control of Digital Human Hand Synthesis using a Region-Aware Cycle Loss, Qifan Fu, Xiaohang Yang, Muhammad Asad, Changjae Oh, Shanxin Yuan, Gregory Slabaugh, European Conference on Computer Vision Workshops (ECCVW), 2024.

Management of Acute Myocarditis: A Systematic Review of Clinical Practice Guidelines and Recommendations, Vijay Shyam-Sundar, Adil Mahmood, Greg Slabaugh, Anwar Chahal, Steffen E Petersen, Nay Aung, Saidi A Mohiddin, Mohammed Y Khanji, European Heart Journal-Quality of Care and Clinical Outcomes 10(7), 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, Sucharitha Chadalavada, Elisa Rauseo, Ahmed Salih, Hafiz Naderi, Mohammed Khanji, Jose D Vargas, Aaron M Lee, Alborz Amir-Kalili, Lisette Lockhart, Ben Graham, Mihaela Chirvasa, Kenneth Fung, Jose Paiva, Mihir M Sanghvi, Gregory G Slabaugh, Magnus T Jensen, Nay Aung, Steffen E Petersen, European Heart Journal-Imaging Methods and Practice 2(3), 2024.

Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank, Areti Papadopoulou, Daniel Harding, Greg Slabaugh, Eirini Marouli, Panos Deloukas, Heliyon 10(7), 2024.

2023

Diagnosing and Preventing Instabilities in Recurrent Video Processing, Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip Torr, Ales Leonardis, Gregory Slabaugh, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023.

Joint Dense-Point Representation for Contour-Aware Graph Segmentation, Kit Bransby, Qianni Zhang, Gregory Slabaugh, Christos Bourantas, Medical Image Analysis and Computer-Aided Interventions (MICCAI), 2023.

Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images, Amaya Gallagher-Syed, Luca Rossi, Felice Rivellese, Costantino Pitzalis, Myles Lewis, Michael Barnes, Gregory Slabaugh, British Machine Vision Conference (BMVC), 2023.

Improving Dynamic HDR Imaging with Fusion Transformer, Chen Rufeng, Bolun Zheng, Hua Zhang, Quan Chen, Chenggang Yan, Greg Slabaugh, Shanxin Yuan, AAAI Conference on Artificial Intelligence (AAAI), 2023.

Phenotyping Left Ventricular Systolic Dysfunction in Asymptomatic Individuals for Improved Risk Stratification, Elisa Rauseo, Musa Abdulkareem, Abbas Rayabat Khan, Jackie Cooper, Nay Aung, Gregory Slabaugh, Steffen Petersen, European Heart Journal - Cardiovascular Imaging, 2023.

Applications of Machine and Deep Learning to Thyroid Cytology and Histopathology: A Review, Greg Slabaugh, Luis Beltran, Syed M Rizvi, Panos Deloukas, Eirini Marouli, Frontiers in Oncology, 2023.

Misclassification Loss for Segmentation of the Aortic Vessel Tree, Abbas Khan, Muhammad Asad, Alexander Zolotarev, Caroline Roney, Anthony Mathur, Martin Benning, Gregory Slabaugh, MICCAI Workshop Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions, 2023.

Vector Quantized Semantic Communication System, Qifan Fu, Huiqiang Xie, Zhijin Qin, Gregory Slabaugh, Xiaoming Tao, IEEE Wireless Communications Letters 12(6), 2023.

Machine Learning and Disease Prediction in Obstetrics, Zara Arain, Stamatina Iliodromiti, Gregory Slabaugh, Anna L David, Tina T Chowdhury, Current Research in Physiology, 2023.

MOAB: Multi-modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading, Omnia Alwazzan, Abbas Khan, Yiannis Patras, Gregory Slabaugh, International Symposium on Biomedical Imaging (ISBI), 2023.

3D Coronoary Vessel Reconstruction from Bi-plane Angiography Using Graph Convolutional Networks, Kit Bransby, Vincenzo Tufaro, Murat Çap, Pieter Kitslaar, Hans Reiber, Christos Bourantas, Greg Slabaugh, Qianni Zhang, International Symposium on Biomedical Imaging (ISBI), 2023.

Ischemic Heart Disease and Vascular Risk Factors are Associated with Accelerated Brain Aging, Elisa Rauseo, Ahmed Salih, Zahra Raisi-Estabragh, Nay Aung, Neha Khanderia, Gregory Slabaugh, Charles R. Marshall, Stefan Neubauer, Petia Radeva, Ilaria Boscolo Galazzo, Gloria Menegaz, Steffen E. Petersen, JACC Cardiovascular imaging, 2023.

2022

FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging, Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Aleš Leonardis, Gregory Slabaugh, Eduardo Pérez-Pellitero, IEEE Transactions on Image Processing (T-IP), 2022.

Constrained Predictive Filters for Single Image Bokeh Rendering, Bolun Zheng, Quan Chen, Shanxin Yuan, Xiaofei Zhou, Hua Zhang, Jiyong Zhang, Chenggang Yan, Gregory Slabaugh, IEEE Transactions on Computational Imaging (T-CI), 2022.

DomainPlus: Cross Transform Domain Learning towards Efficient High Dynamic Range Imaging, Bolun Zheng, Xiaokai Pan, Hua Zhang, Xiaofei Zhou, Gregory Slabaugh, Chenggang Yan, Shanxin Yuan, ACM Multimedia, 2022.

Bi-directional Difference Locating and Semantic Consistency Reasoning for Change Captioning, Yaoqi Sun, Liang Li, Tingting Yao, Tongyv Lu, Bolun Zheng, Chenggang Yan, Hua Zhang, Yongjun Bao, Guiguang Ding, Gregory Slabaugh, International Journal of Intelligent Systems, 2022.

Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-based Processing, Abbas Khan, Omnia Alwazzan, Martin Benning, Greg Slabaugh, Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop, Left Atrial and Scar Quantification & Segmentation Challenge (LAScarQS) Challenge, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022. Best Paper Award.

2021

Learning Frequency Domain Priors for Image Demoireing, Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Ales Leonardis, Greg Slabaugh, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.

Continual Learning: A Comparative Study on How to Defy Forgetting in Classification Tasks, Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.

CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement, Hengrun Zhao, Bolun Zheng, Shanxin Yuan, Hua Zhang, Chenggang Yan, Liang Li, Gregory Slabaugh, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2021.

CURL: Neural Curve Layers for Global Image Enhancement, Sean Moran, Steven McDonagh, Gregory Slabaugh, International Conference on Pattern Recognition (ICPR), 2021.

PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks, Muhammad Asad, Rilwan Basaru, S M Masudur Rahman Al Arif, Greg Slabaugh, International Conference on Pattern Recognition (ICPR), 2021. Best Industry Related Paper Award.

2020

Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs, Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory Slabaugh, Qi Tian, Neural Information Processing Systems (NeurIPS), 2020.

Low light video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping, Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory Slabaugh, The European Conference on Computer Vision (ECCV), 2020.

Wavelet-Based Dual-Branch Neural Network for Image Demoireing, Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian, The European Conference on Computer Vision (ECCV), 2020.

Reconstructing the Noise Manifold for Image Denoising, Ioannis Marras, Grigorios Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou, The European Conference on Computer Vision (ECCV), 2020.

More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning, Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars, The European Conference on Computer Vision (ECCV), 2020.

DeepLPF: Deep Local Parametric Filters for Image Enhancement, Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory Slabaugh, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

TESA: Tensor Element Self-Attention via Matricization, Francesca Babiloni, Ioannis Marras, Gregory Slabaugh, Stefanos Zafeiriou, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

Image Demoireing with Learnable Bandpass Filters, Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

A Multi-Hypothesis Approach to Color Constancy, Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

Video Super-resolution with Temporal Group Attention, Takashi Isobe, Xu Jia, Songjiang Li, Shanxin Yuan, Gregory Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem, Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars, The International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

NTIRE 2020 Challenge on Image Demoireing: Methods and Results, Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory Slabaugh, et al., Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020.

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results, Abdelrahman Abdelhamed et al., Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020.

DeepFMRI: End-to-end Deep Learning for Functional Connectivity and Classification of ADHD using fMRI, Atif Riaz, Muhammad Asad, Eduardo Alonso, Greg Slabaugh, Journal of Neuroscience Methods, 2020.

Optical Imaging Technology in Colonoscopy: Is There a Role for Photometric Stereo? Benjamin M Shandro, Khemraj Emrith, Gregory Slabaugh, Andrew Poullis, Melvyn L Smith, World Journal of Gastrointestinal Endoscopy, 12(5), 2020.

2019

SteReFo: Efficient Image Refocusing with Stereo Vision, Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory Slabaugh, AIM: Advances in Image Manipulation Workshop held in conjunction with ICCV, 2019.

Formulating Camera-Adaptive Color Constancy as a Few-shot Meta-Learning Problem, Steven McDonagh, Sarah Parisot, Fengwei Zhou, Xing Zhang, Ales Leonardis, Zhenguo Li, Gregory Slabaugh, Learning for Computational Imaging (LCI): Sensing, Reconstruction, and Analysis Workshop held in conjunction with ICCV, 2019.

AIM 2019 Challenge on Image Demoireing: Dataset and Study, Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis, Advances in Image Manipulation (AIM) Workshop held in conjunction with ICCV, 2019.

AIM 2019 Challenge on Image Demoireing: Methods and Results, Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis, et al., Advances in Image Manipulation (AIM) Workshop held in conjunction with ICCV, 2019.

NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network, Hao Guan, Liu Liu, Sean Moran, Fenglong Song, Gregory Slabaugh, ArXiv preprint, 2019.

Macrosight: A Novel Framework to Analyze the Shape and Movement of Interacting Macrophages Using Matlab®, José Alonso Solís-Lemus, Brian Stramer, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, Journal of Imaging 5(1), 2019.

2018

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction, Guang Yang, Simiao Yu, Hao Dong, Greg Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon Arridge, Jennifer Keegan, Yike Guo, David Firmin IEEE Transactions on Medical Imaging (TMI), 2018.

SPNet: Shape Prediction using a Fully Convolutional Neural Network , Supplementary material SMMR Al Arif, K Knapp, G Slabaugh, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.

Distinct Patterns of Variation in the Distribution of Knee Pain, Shellie A. Boudreau, Albert Cid Royo, Mark Matthews, Thomas Graven-Nielsen, Ernest N. Kamavuako, Greg Slabaugh, Kristian Thorborg, Bill Vicenzino & Michael Skovdal Rathleff, Scientific Reports, 2018.

Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients using Late Gadolinium-enhanced MRI, G Yang, X Zhuang, H Khan, S Haldar, E Nyktari, L Li, R Wage, X Ye, G Slabaugh, R Mohiaddin, T Wong, J Keegan, D Firmin, Medical Physics, 2018.

Fully Automatic Cervical Vertebrae Segmentation Framework for X-ray Images, SMMR Al Arif, K Knapp, G Slabaugh, Computer Methods and Programs in Biomedicine, 2018.

Left Atrial Scarring Segmentation from Delayed-Enhancement Cardiac MRI Images: A Deep Learning Approach, Guang Yang, Xiahai Zhuang, Habib Khan, Eva Nyktari, Shouvik Haldar, Lei Li, Rick Wage, Xujiong Ye, Greg Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firmin Cardiovascular Imaging and Image Analysis, pp 109-130.

Data-driven Recovery of Hand Depth using Conditional Regressive Random Forest on Stereo Images, Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg Slabaugh, IET Computer Vision, 2018.

Deep FMRI: An End-to-end Deep Network for Classification of fMRI Data, Atif Riaz, Muhammad Asad, S M Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg Slabaugh, IEEE Symposium on Biomedical Imaging (ISBI), 2018.

Shape Analysis and Tracking of Migrating Macrophages, José Alonso Solís-Lemus, Brian Stramer, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, IEEE Symposium on Biomedical Imaging (ISBI), 2018.

Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models, Nathan Olliverre, Guang Yang, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso, Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI) held in conjunction with MICCAI, 2018.

Stacked Sparse Autoencoders for EMG-Based Classification of Hand Motions: Comparative Multi Day Analyses between Surface and Intramuscular EMG, Muhammad Zia ur Rehman, Syed Omer Gilani, Asim Waris, Imran Khan Niazi, Gregory Slabaugh, Dario Farina, Ernest Nlandu Kamavuako, Applied Sciences 8(12), 2018.

Analysis of the Interactions of Migrating Macrophages, Jose Alonso Solis-Lemus, Brian Stramer, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, Medical Image Understanding and Analysis, 2018.

2017

SPORE: Staged Probabilistic Regression for Hand Orientation Inference, Muhammad Asad, Greg Slabaugh, Computer Vision and Image Understanding (CVIU), 2017.

Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network, S M Masudur Rahman Al Arif, Karen Knapp, Greg Slabaugh British Machine Vision Conference (BMVC) 2017.

Hand Pose Estimation Using Deep Stereovision and Markov-chain Monte Carlo, Rilwan Basaru, Chris Child, Eduardo Alonso, Greg Slabaugh Third Workshop on Observing and Understanding Hands in Action, ICCV, 2017.

Conditional Regressive Random Forest Stereo-based Hand Depth Recovery, Rilwan Basaru, Chris Child, Eduardo Alonso, Greg Slabaugh Third Workshop on Observing and Understanding Hands in Action, ICCV, 2017.

Learning to Deblur Adaptive Optics Retinal Images, Anfisa Lazareva, Muhammad Asad, Greg Slabaugh, International Conference on Image Analysis and Recognition (ICIAR) 2017.

Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation, S M Masudur Rahman Al Arif, Karen Knapp, Greg Slabaugh, MICCAI Workshop on Computational Methods & Clinical Applications in Musculoskeletal Imaging (MSKI) 2017.

Region-aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images, S M Masudur Rahman Al Arif, Karen Knapp, Greg Slabaugh, MICCAI Workshop on Deep Learning in Medical Image Analysis (DLMIA) 2017.

FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from functional MRI, Atif Riaz, Muhammad Asad, S M Masudur Rahman Al Arif, Eduardo Alonso, Danai Dima, Philip Corr and Greg Slabaugh, 1st International Workshop on Connectomics in NeuroImaging (CNI), MICCAI 2017.

Deep Learning for Single-molecule Science, Tim Albrecht, Gregory Slabaugh, Eduardo Alonso, S M Masudur Al-Arif, Nanotechnology, IOP Science, 2017.

Fusion of fMRI and Non-Imaging Data for ADHD Classification, Atif Riaz, Muhammad Asad, Eduardo Alonso, and Greg Slabaugh, Computerized Medical Imaging and Graphics (Elsevier Journal) 2017.

Segmentation and Shape Analysis of Macrophages using Anglegram Analysis, Jose Alonso Solis-Lemus, Brian Stramer, Greg Slabaugh, Constantino Carlos Reyes-Aldasoro, Journal of Imaging, 2017.

Framework for Detection and Localization of Coronary Non-calcified Plaques in Cardiac CTA using Mean Radial Profiles, Muhammad Moazzam Jawaid, Atif Riaz, Ronak Rajani, Constantino Carlos Reyes-Aldasoro, Greg Slabaugh Computers in Biology and Medicine, Elsevier, 2017.

Patch-based Corner Detection for Cervical Vertebrae in X-ray Images, S M Masudur Rahman Al Arif, Muhammad Asad, Michael Gundry, Karen Knapp, Greg Slabaugh Signal Processing: Image Communication (Elsevier Journal) 2017.

A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation , Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Greg Slabaugh, Computer Methods and Programs in Biomedicine (Elsevier Journal) 2017.

Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold, Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes Aldasoro, Greg Slabaugh, Medical Image Understanding and Analysis (MIUA) 2017.

Segmentation of Overlapping Macrophages Using Anglegram Analysis, José Alonso Solís Lemus, Brian Stramer, Greg Slabaugh, Constanino Carlos Reyes Aldasoro, Medical Image Understanding and Analysis (MIUA) 2017.

Pairwise Mixture Model for Unmixing Partial Volume Effect in Multi-voxel MR Spectroscopy of Brain Tumour Patients, Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn Howe, Greg Slabaugh, SPIE Medical Imaging 2017.

A Fully Automatic Deep Learning Method for Atrial Scarring Segmentation from Late Gadolinium-Enhanced MRI Images, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Kyktari, Xujiong Ye, Greg Slabaugh, Tom Wong, Raad Mohaddin, Jennifer Keegan David Firman, International Symposium on Biomedical Imaging (ISBI) 2017.

Segmenting Atrial Fibrosis from late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Greg Slabaugh, Tom Wong, Raad Mohiaddin, Jenny Keegan, David Firmin, Medical Image Understanding and Analysis (MIUA) 2017.

Differentiation of Pre-ablation and Post-ablation Late Gadolinium-enhanced Cardiac MRI Scans of Longstanding Persistent Atrial Fibrillation Patients, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firman, SPIE Medical Imaging 2017.

Multi-atlas Propagation based Left Atrium Segmentation Coupled with Super-voxel based Pulmonary Veins Delineation in Late Gadolinium-enhanced Cardiac MRI, Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Xujiong Ye, Greg Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firman, SPIE Medical Imaging 2017.

2016

Supervised Partial Volume Effect Unmixing for Brain Tumor Characterization using Multi-voxel MR Spectroscopic Imaging, Muhammad Asad, Guang Yang, Greg Slabaugh, International Symposium on Biomedical Imaging (ISBI) 2016.

Learning Marginalization through Regression for Hand Orientation Inference, Muhammad Asad, Greg Slabaugh, Computer Vision and Pattern Recognition (CVPR) Second Workshop on Observing and Understanding Hands in Action (HANDS) 2016. Best Paper Award.

Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae, S. M. Masudur Rahman Al Arif, Michael Gundry, Karen Knapp, Greg Slabaugh, Fourth MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging 2016.

Global Localization and Orientation of the Cervical Spine in X-ray Imaging, S. M. Masudur Rahman Al Arif, Michael Gundry, Karen Knapp, Greg Slabaugh, Fourth MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging 2016. Best Paper Award.

Accuracy and Interpretability Trade-offs in Machine Learning Applied to Safer Gambling, Sanjoy Sarkar, Tillman Weyde, Artur d'Avila Garcez, Gregory Slabaugh, Simo Dragicevic, Chris Percy NIPS Workshop 2016.

Phenotypic Integrated Framework for Classification of ADHD using fMRI, Atif Riaz, Eduardo Alonso, Greg Slabaugh, International Conference on Image Analysis and Recognition (ICIAR) 2016.

The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks, Chris Percy, Artur S. d'Avila Garcez, Simo Dragicevic, Manoel V. M. França, Greg Slabaugh, Tillman Weyde, European Conference on Artificial Intelligence (ECAI) 2016.

HandyDepth: Example-based Stereoscopic Hand Depth Estimation using Eigen Leaf Node Features, Rilwan Basaru, Chris Child, Eduardo Alonso, Greg Slabaugh, International Conference on Systems, Signals and Image Processing (IWSSIP) 2016.

Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI, Guang Yang, Xujiong Ye, Greg Slabaugh, Jennifer Keegan, Raad Mohiaddin, David Firmin, International Conference on Image and Signal Processing (ICISP) 2016.

Combined Self-learning Based Single-image Super-resolution and Dual-tree Complex Wavelet Transform Denoising for Medical Images, Guang Yang, Xujiong Ye, Greg Slabaugh, Jennifer Keegan, Raad Mohiaddin, David Firmin, SPIE Medical Imaging 2016.

2015

Cervical Vertebral Corner Detection using Haar-like Features and Modified Hough Forest, S M Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry and Greg Slabaugh, International Conference on Image Processing Theory, Tools and Applications (IPTA) 2015.

Discrete Wavelet Transform Based Whole-Spectral and Sub-Spectral Analysis for Improved Brain Tumour Clustering using Single Voxel MR Spectroscopy, Guang Yang, Tahir Nawaz, Thomas R. Barrick, Franklyn A. Howe, and Greg Slabaugh, IEEE Transactions on Biomedical Engineering, 2015.

Hough Forest-based Corner Detection for Cervical Spine Radiographs, S M Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Andy Appelboam, Adam Reuben, Greg Slabaugh, Medical Image Understanding and Analysis (MIUA) 2015.

Generating a 3D Hand Model from Frontal Color and Range Scans, Muhammad Asad, Enguerrand Gentet, Rilwan Remilekun Basaru, Greg Slabaugh, the International Conference on Image Processing (ICIP) 2015.

Multi-Label Region Classification and Semantic Linking for Colon Segmentation in CT Colonography, Xiaoyun Yang, Xujiong Ye, Greg Slabaugh, IEEE Transactions on Biomedical Engineering, 62(3), pp. 948-959, 2015.

Detection of Degenerative Change in Lateral Projection Cervical Spine X-ray Images, Beyrem Jebri, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg Slabaugh, SPIE Medical Imaging: Computer Aided Detection 2015.

Semi-Automatic Delineation of the Spino-Laminar Junction Curve on Lateral X-ray Radiographs of the Cervical Spine, Benjamin Narang, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg Slabaugh, SPIE Medical Imaging: Image Processing 2015.

2014

Photometric Stereo Reconstruction for Surface Analysis of Mucosal Tissue, Khemraj Emrith, Greg Slabaugh, Andy Poullis, Chris Goves, Melvyn Smith, Medical Image Understanding and Analysis (MIUA) 2014.

Quantized Census for Stereoscopic Image Matching, Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg Slabaugh, 3DV Workshop on Dynamic Shape Measurement and Analysis 2014.

Hand Orientation Regression using Random Forest for Augmented Reality, Muhammad Asad, Greg Slabaugh, First International Conference on Augmented and Virtual Reality (AVR) 2014.

2013

CT Colonography: External Clinical Validation of an Algorithm for Computer-assisted Prone and Supine Registration, Darren Boone, Steve Halligan, Holger Roth, Tom Hampshire, Emma Helbren, Greg Slabaugh, Justine McQuillan, Jamie McClelland, Mingxing Hu, Shonit Punwani, Stuart Taylor, David Hawkes, Radiology, 268(3), 2013, pp. 752-60.

Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning, Tillman Weyde, Greg Slabaugh, Gauthier Fontaine, Christoph Bederna,International Conference on Image Analysis and Recognition (ICIAR), 2013.

Endoluminal Surface Registration for CT Colonography using Haustral Fold Matching , Thomas Hampshire, Holger R. Roth, Emma Helbren, Andrew Plumb, Darren Boone, Greg Slabaugh, Steve Halligan, David J. Hawkes, Medical Image Analysis, 17(8), 2013, pp. 946-958.

Erosion Band Signatures for Spatial Extraction of Features, Eduard Vazquez, Xiaoyun Yang, and Greg Slabaugh, Machine Vision and Applications 24(4), 2013, pp. 695-705.

2012

Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method , Thomas Hampshire, Holger Roth, Darren Boone, Greg Slabaugh, Steve Halligan, David Hawkes, Abdominal Imaging. Computational and Clinical Applications LNCS 7601, 2012, pp. 1-9.

Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data , Melanie Ganz, Xiaoyun Yang, and Greg Slabaugh, IEEE Transactions on Biomedical Engineering 59(8), 2012, pp. 2144 - 2151.

A Bottom-Up Approach for the Analysis of Haustral Fold Ridges in CTC-CAD, Tahir Nawaz and Greg Slabaugh, Annals of the BMVA 2012 (8), pp. 1 - 15.

A Model-Driven Bayesian Method for Polyp Detection and False Positive Suppression in CT Colonography Computer-Aided Detection, Xujiong Ye and Greg Slabaugh, book chapter contributed to Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis, IGI Global, January 2012.

2011

A Robust and Efficient Approach to Detect 3D Rectal Tubes from CT Colonography, Xiaoyun Yang and Greg Slabaugh, Medical Physics 38(11), 2011.

Inverse Consistency Error in the Registration of Prone and Supine CT Colonography, Holger Roth, Jamie McClelland, Darren Boone, Marc Modat, Manuel Cardoso, Tom Hampshire, Mingxing Hu, Shonit Punwani, Sébastien Ourselin, Greg Slabaugh, Steve Halligan, David J. Hawkes, MICCAI 2011 Workshop on Computational Challenges and Clinical Applications in Abdominal Imaging, 2011.

Automatic Prone to Supine Haustral Fold Matching in CT Colonography using a Markov Random Field Model, Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg Slabaugh, Shonit Punwani, Steve Halligan, David Hawkes, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011.

Automatic Detection of Bridge Deck Condition From Ground Penetrating Radar Images, Zhe Wendy Wang, Mengchu Zhou, Greg Slabaugh, Jiefu Zhai, Tong Fang, IEEE Transactions on Automation Science and Engineering,8(3), 2011, pp. 633-640.

Concavity analysis for reduction of ileocecal valve false positives in CTC, Xujiong Ye, Greg Slabaugh, International Symposium on Biomedical Imaging (ISBI) 2011.

Global Analysis of Haustral Fold Ridges for the Reduction of False Positives in CTC-CAD, Tahir Nawaz and Greg Slabaugh, Medical Image Understanding and Analysis, 2011.

Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography, Holger Roth, Jamie McClelland, Darren Boone, Marc Modat, Manuel Cardoso, Tom Hampshire, Mingxing Hu, Shonit Punwani, Sébastien Ourselin, Greg Slabaugh, Steve Halligan, David J. Hawkes, Medical Physics, 38(8), 2011.

Generating Shapes by Analogies: An application to Hearing Aid Design, Gozde Unal, Delphine Nain, Greg Slabaugh, Tong Fang, Computer-Aided Design 43(1), Pages 47 -56, 2011.

2010

Automatic Graph Cut Segmentation of Lesions in CT using Mean Shift Super-Pixels, Xujiong Ye, Gareth Beddoe and Greg Slabaugh, International Journal of Biomedical Imaging vol. 2010, Article ID 983963, 14 pages, 2010.

Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography, Holger Roth, Jamie McClelland, Marc Modat, Darren Boone, Mingxing Hu, Sébastien Ourselin, Greg Slabaugh, Steve Halligan, David J. Hawkes, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010.

Conformal Mapping of the Inner Colon Surface to a Cylinder for the Application of Prone to Supine Registration, Holger Roth, Jamie McClelland, Darren Boone, Mingxing Hu, Sebastien Ourselin, Greg Slabaugh, Steve Halligan, David Hawkes Medical Image Understanding and Analysis (MIUA), 2010.

Learning to Detect 3D Rectal Tubes in CT Colonography using a Global Shape Model, Xiaoyun Yang, Gareth Beddoe, Greg Slabaugh, MICCAI Virtual Colonoscopy Workshop 2010.

A Bayesian Approach for False Positive Reduction in CTC-CAD, Xujiong Ye, Gareth Beddoe, Greg Slabaugh, MICCAI Virtual Colonoscopy Workshop 2010.

Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation, Sajjad Baloch, Rupen Melkisetoglu, Simon Floery, Sergei Azernikov, Greg Slabaugh, Alexander Zouhar, and Tong Fang, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010.

Sparse Parallel Electronic Bowel Cleansing in CT Colonography, Richard Boyes, Gareth Beddoe, Greg Slabaugh, International Symposium on 3DProcessing, Visualization, and Transmission (3DPVT), 2010.

Multi-core Image Processing using OpenMP, Greg Slabaugh, Richard Boyes, Xiaoyun Yang, IEEE Signal Processing Magazine, March 2010.

A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions, Greg Slabaugh, Xiaoyun Yang, Xujiong Ye, Richard Boyes, Gareth Beddoe, Algorithms, 3(1):21-43, special journal issue on Machine Learning for Medical Imaging, 2010.

Feature Selection for Computer-Aided Polyp Detection using MRMR, Xiaoyun Yang, Boray Tek, Gareth Beddoe, and Greg Slabaugh, SPIE Medical Imaging, 2010.

2009

Graph Cut-based Automatic Segmentation of Lung Nodules using Shape, Intensity, and Spatial Features, Xujiong Ye, Gareth Beddoe, and Greg Slabaugh, The Second International Workshop on Pulmonary Image Analysis, held in conjunction with MICCAI 2009.

Fast Pseudo-Enhancement Correction in CT Colonography using Linear Shift-Invariant Filters, Richard Boyes, Greg Slabaugh, Gareth Beddoe, The International Conference on Image Processing (ICIP), 2009.

Shape-Based CT Lung Nodule Segmentation Using Five-Dimensional Mean Shift Clustering and MEM with Shape Information, Xujiong Ye, Musib Siddique, Abdel Douiri, Gareth Beddoe, Greg Slabaugh, IEEE International Symposium on Biomedical Imaging (ISBI), 2009.

3-D statistical shape modeling and application to prototyping of hearing aids, Gozde Unal, Delphine Nain, Greg Slabaugh, Tong Fang IEEE Signal Processing and Communications Applications Conference (SIU), 2009.

Shape Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images , Xujiong Ye, Xinyu Lin, Jamshid Dehmeshki, Greg Slabaugh, Gareth Beddoe, IEEE Transactions on Biomedical Engineering, 56(7), pp. 1810-20, 2009.

3D Ball Skinning using PDEs for Generation of Smooth Tubular Surfaces, Greg Slabaugh, Brian Whited, Jarek Rossignac, Tong Fang, Gozde Unal, Computer-Aided Design, 42(1), 2009.

Statistical Region-Based Segmentation of Ultrasound Images , Greg Slabaugh, Gozde Unal, Michael Wels, Tong Fang, Bimba Rao, Ultrasound in Medicine and Biology, (35)5, pp. 781-795, 2009.

Image Segmentation using Joint Spatial-Intensity-Shape Features: Application to CT Lung Nodule Segmentation, Xujiong Ye, Xinyu Lin, Musib Siddique, Abdel Douiri, Gareth Beddoe, Greg Slabaugh, SPIE Medical Imaging, 2009.

Enhanced Detection in CT Colonoscopy using Adaptive Diffusion Filtering, Abdel Douiri, Musib Siddique, Xujiong Ye, Gareth Beddoe and Greg Slabaugh, SPIE Medical Imaging, 2009.

2008

Customized Design of Hearing Aids Using Statistical Shape Learning, Gozde Unal, Delphine Nain, Greg Slabaugh, Tong Fang, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2008.

Automatic Stent Implant Follow-up in Intravascular Optical Coherence Tomography Images , Serhan Gurmeric, Gozde Unal, Stephane Carlier, Yan Yang, Greg Slabaugh, The Second International Workshop on Computer Vision for Intravascular Imaging (CVII), held in conjunction with MICCAI, 2008.

Information-Theoretic Feature Detection and Its Application to Registration of Ultrasound Images , Zhe Wendy Wang, Greg Slabaugh, Gozde Unal and Tong Fang, The International Journal of Intelligent Control and Systems, Vol 13, No. 2, 2008.

3D Shape Modeling for Hearing Aid Design, Greg Slabaugh, Tong Fang, Fred McBagonluri, Alexander Zouhar, Rupen Melkisetoglu, Hui Xie, Gozde Unal, IEEE Signal Processing Magazine, Sept. 2008.

Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration, Gozde Unal, Greg Slabaugh, Journal of Mathematical Imaging and Vision, Vol. 31, No. 1, May 2008.

Variational Skinning of an Ordered Set of Discrete 2D Balls, Greg Slabaugh, Gozde Unal, Tong Fang, Jarek Rossignac, Brian Whited, Geometric Modeling and Processing (GMP), 2008.

Partial Differential Equation-based GPR Signature Discrimination for Automatic Detection of Bridge Deck Delamination, Zhe Wang, Greg Slabaugh, Tong Fang, The 4th Annual IEEE Conference on Automation Science and Engineering (CASE), 2008. Nomiated for best student paper award.

Automatic Tracing of Blood Flow Velocity in Pulsed Doppler Images, Zhe Wang, Greg Slabaugh, MengChu Zhou, Tong Fang, The 4th Annual IEEE Conference on Automation Science and Engineering (CASE), 2008.

Semi-Automatic Matching of OCT and IVUS Images For Image Fusion , Olivier Pauly, Gozde Unal, Greg Slabaugh, Stephane Carlier, Tong Fang, SPIE Medical Imaging, 2008.

Active Contour Approach for Accurate Quantitative Airway Analysis, Benjamin L. Odry, Atilla P. Kiraly, Greg Slabaugh, Carol L. Novak, David P. Naidich, and Jean-Francois Lerallut, SPIE Medical Imaging, 2008.

Visualization and Interpretation of Impact Echo Data from Bridge Deck Testing, Nenad Gucunski, Greg Slabaugh, Zhe Wang, Tong Fang, and Ali Maher, 87th annual meeting and publication in Journal of Transportation Research Board (TRB) , 2008.

Pearling: Stroke Segmentation with Crusted Pearl Strings, Brian Whited, Jarek Rossignac, Greg Slabaugh, Tong Fang, and Gozde Unal, the Journal of Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications , 2009. An earlier version appears in The First International Workshop on on Image Mining Theory and Applications (IMTA), 2008.

Guest Editorial Introduction to the Special Section on Computer Vision for Intravascular and Intracardiac Imaging, Gozde Unal, Greg Slabaugh, Ioannis Kakadiaris, Allan Tannenbaum, IEEE Transactions on Information Technology in Biomedicine (TITB) , special issue on Computer Vision for Intravascular Imaging, Vol 12(3), pp. 273-276, 2008.

Shape-driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images, Gozde Unal, Susann Bucher, Stephane Carlier, Greg Slabaugh, Tong Fang, Kaoru Tanaka IEEE Transactions on Information Technology in Biomedicine (TITB) , special issue on Computer Vision for Intravascular Imaging, Vol 12(3), pp. 335-347, 2008.

2007

Pearling: 3D Interactive Extraction of Tubular Structures from Volumetric Images, Jarek Rossignac, Brian Whited, Greg Slabaugh, Tong Fang, Gozde Unal, Interaction in Medical Image Analysis and Visualization, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2007.

Variational Guidewire Tracking Using Phase Congruency, Greg Slabaugh, Koon Kong, Gozde Unal, Tong Fang, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2007, Vol. 2, pp. 612-619.

An Information-Theoretic Detector Based Scheme for Registration of Speckled Medical Images, Zhe Wang, Greg Slabaugh, Gozde Unal, Mengchu Zhou, Tong Fang, International Conference on Systems, Man, and Cybernetics (SMC), 2007.

A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation, Greg Slabaugh, H. Quynh Dinh, Gozde Unal The International Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

A Variational Approach to Problems in Calibration of Multiple Cameras, Gozde Unal, Anthony Yezzi, Stephano Soatto, and Greg Slabaugh, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 29, No. 8, August, 2007, pp. 1322-1338.

Efficient Segmentation Based on Eikonal and Diffusion Equations, Christopher Alvino, Gozde Unal, Greg Slabaugh, Bertrand Peny, Tong Fang, The International Journal of Computer Mathematics, Vol. 84, No. 9, Sept. 2007, pp. 1309 - 1324.

Registration of Ultrasound Images using an Information-Theoretic Feature Detector, Zhe Wang, Greg Slabaugh, Gozde Unal, Tong Fang, IEEE International Symposium on Biomedical Imaging (ISBI), 2007. pp. 736 - 739.

2006

Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours, Greg Slabaugh, Gozde Unal, Tong Fang, Michael Wels, The International Conference on Computer Vision and Pattern Recognition (CVPR), Vol. 1, 2006, pp. 45 - 53.

Information-Theoretic Feature Detection in Ultrasound Images, Greg Slabaugh, Gozde Unal, Ti-Chiun Chang, IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (EMBS) 2006, pp. 2638 - 2642.

Shape-driven Segmentation of Intravascular Ultrasound Images, Gozde Unal, Susann Bucher, Stephane Carlier, Greg Slabaugh, Tong Fang, Kaoru Tanaka, The First International Workshop on Computer Vision for Intravascular Imaging (CVII), held in conjunction with MICCAI 2006.

Fusion of IVUS and OCT Through Semi-Automatic Registration, Gozde Unal, Shawn Lankton, Stephane Carlier, Greg Slabaugh,Yunqiang Chen The First International Workshop on Computer Vision for Intravascular Imaging (CVII), held in conjunction with MICCAI 2006.

Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation, Amer Abufadel, Greg Slabaugh, Gozde Unal, Li Zhang, Ben Odry, the International Conference on Pattern Recognition (ICPR), Vol. 1, 2006, pp. 1013 - 1016.

Efficient and Robust Segmentations Based on Eikonal and Diffusion PDEs, Bertrand Peny, Gozde Unal, Greg Slabaugh, Tong Fang, Chris Alvino, the The International Workshop on Intelligent Computing in Pattern Analysis/Synthesis 2006, pp. 339-348.

Anatomically-Aware, Automatic, and Fast Registration of 3D Ear Impression Models, Alexander Zouhar, Tong Fang, Gozde Unal, Hui Xie, Greg Slabaugh and Fred McBagonluri, the Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT) 2006.

Semi-Automatic Lymph Node Segmentation in LN-MRI, Gozde Unal, Greg Slabaugh, Andreas Ess, Anthony Yezzi, Tong Fang, Jason Tyan, Martin Requardt, Robert Krieg, Ravi Seethamraju, Mukesh Harisinghani, Ralph Weissleder, The International Conference on Image Processing (ICIP) 2006.

Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes Using Graph Cuts, Huy-Nam Doan, Greg Slabaugh, Gozde Unal, Tong Fang, The International Conference on Image Processing (ICIP) 2006.

Graph Cut Segmentation Using an Elliptical Shape Prior, Greg Slabaugh, Gozde Unal, The International Conference on Image Processing (ICIP) 2005.

2005

Active Polyhedron: Surface Evolution Theory Applied to Deformable Meshes, Greg Slabaugh, Gozde Unal, The International Conference on Computer Vision and Pattern Recognition (CVPR) , Vol. 2, 2005, pp. 84 - 91.

Coupled PDEs for Non-Rigid Registration and Segmentation, Gozde Unal, Greg Slabaugh The International Conference on Computer Vision and Pattern Recognition (CVPR) , Vol. 2, 2005, pp. 168 - 175.

A Contour-Based Approach to 3D Text Labeling on Triangulated Surfaces, Greg Slabaugh, Viorel Mihalef, Gozde Unal, The 5th International Conference on 3-D Digital Imaging and Modeling (3DIM) 2005, pp. 416 - 423.

2004

Methods for Volumetric Reconstruction of Visual Scenes, Gregory G. Slabaugh, W. Bruce Culbertson, Thomas Malzbender, Mark R. Stevens, and Ronald W. Schafer, The International Journal of Computer Vision (IJCV), Vol. 57, No. 3, May - June 2004, pp. 179 - 199.

2003

Image-Based Photo Hulls for Fast and Photo-Realistic New View Synthesis, Gregory G. Slabaugh, Ronald W. Schafer, and Mat C. Hans, Real-Time Imaging (RTI), Vol. 9, No. 5, Oct. 2003, pp. 347 - 360.

2002

Reconstructing Surfaces By Volumetric Regularization Using Radial Basis Functions, Huong Quynh Dinh, Greg Turk, and Greg Slabaugh, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 24, No. 10, Oct. 2002, pp. 1358 - 1371.

Multi-Resolution Space Carving Using Level Sets Methods, Gregory G. Slabaugh, Ronald W. Schafer, and Mat C. Hans, The International Conference on Image Processing (ICIP), Vol. 2, 2002, pp. 545 - 548.

Image-Based Photo Hulls, Gregory G. Slabaugh, Ronald W. Schafer, and Mat C. Hans, The 1st International Symposium on 3DProcessing, Visualization, and Transmission (3DPVT), 2002, pp. 704 - 708.

A Surface Evolution Approach to Probabilistic Space Carving, Anthony Yezzi, Greg Slabaugh, Adrian Broadhurst, Roberto Cipolla, and Ron Schafer, The 1st International Symposium on 3DProcessing, Visualization, and Transmission (3DPVT) 2002, pp. 618 - 621. poster

2001

Reconstructing Surfaces Using Anisotropic Basis Functions, Huong Quynh Dinh, Greg Turk, and Greg Slabaugh, The International Conference on Computer Vision (ICCV), Vol. 2, 2001, pp. 606 - 613.

A Survey of Methods for Volumetric Scene Reconstruction from Photographs, Greg Slabaugh, Bruce Culbertson, Tom Malzbender, and Ron Schafer, Volume Graphics 2001, Proc. of the Joint IEEE TCVG and Eurographics Workshop (Mueller, K. and Kaufman, A., eds.), Springer Computer Science, 2001, pp. 81 - 100.

2000

Volumetric Warping for Voxel Coloring on an Infinite Domain, Greg Slabaugh, Tom Malzbender, and Bruce Culbertson, European Workshop on 3D Structure from Multiple Images for Large-Scale Environments (Pollefeys, M., Van Gool, L., Zisserman, A., and Fitzgibbon, A., Eds.), Springer LNCS 2018, 2000, pp. 109 - 123.

1999

Generalized Voxel Coloring, Bruce Culbertson, Tom Malzbender, and Greg Slabaugh, Proc. of Vision Algorithms: Theory and Practice, International Workshop on Vision Algorithms (Bill Triggs, Andrew Zisserman, Richard Szeliski, Eds.), Springer-Verlag LNCS 1883, 1999, pp. 100 - 115.

Reports

Improved Voxel Coloring Via Volumetric Optimization, Greg Slabaugh, Tom Malzbender, Bruce Culbertson, and Ron Schafer Center for Signal and Image Processing Tech Report #3, Fall 2000.

Optimal Ray Intersection for Computing 3D Points From N-View Correspondences, Greg Slabaugh, Ron Schafer, and Mark Livingston October 2, 2001.

Computing Euler Angles from a Rotation Matrix, Greg Slabaugh August 20, 1999.

Copyright: These papers are made available for individual use subject to authors' and publisher's copyright.