Publication

Selected|Full List|Abstract|Theses|Keynote|Tutorial|Seminar

Selected journal publications

  • Yun Ai, Xianghua Xie, and Xiaoke Ma, Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
  • Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang, FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition, Neurocomputing, 2024.
  • Avishek Siris; Jianbo Jiao; Gary K.L. Tam; Xianghua Xie; Rynson W.H. Lau, Inferring Attention Shifts for Salient Instance Ranking, International Journal of Computer Vision, accepted, 2023.
  • Lin Yuanbo Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaid, Mohammed Bennamoun, Xianghua Xie, Jialie Shen, Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification, IEEE Transactions on Image Processing, accepted, 2023.
  • Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaid, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang, Jacobian Norm with Selective Input Gradient Regularization for Interpretable Adversarial Defense, Pattern Recognition, accepted, 2023.
  • Hassan Eshkiki , Benjamin Mora, and Xianghua Xie, Fully Connected Networks on a diet with the Mediterranean Matrix Multiplication, IEEE Transactions on Neural Networks and Learning Systems, accepted, 2022.
  • Hanchi Ren, Jingjing Deng, and Xianghua Xie, GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning, ACM Transactions on Intelligent Systems and Technology,, 2022. [Pre-Print] | [Code]
  • Jingjing Deng and Xianghua Xie, 3D Interactive Segmentation with Semi-Implicit Representation and Active Learning, IEEE Transactions on Image Processing, 2021. [Code]
  • Shiyin Tan, Xiaoke Ma, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng, Joint multi-label learning and feature extraction for temporal link prediction, Pattern Recognition, 2021.
  • Ali Alqahtani, Xianghua Xie, Mark W. Jones, Ehab Essa, Pruning CNN filters via quantifying the importance of deep visual representations, Computer Vision and Image Understanding, 2021.
REF 2021
REF 2014
RAE 2008

Full list of publications in chronological order; click here to see categorised version


Patent

  • X. Xie, J. Deng, H. Ren, Methods and Systems for Data Recovery, WO2022223629A1, 2022 (pending).


2024

[206] Francis Xiatian Zhang, Shuang Chen, Xianghua Xie, and Hubert P. H. Shum, Depth-Aware Endoscopic Video Inpainting, 27th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION (MICCAI), 2024.

[205] S Ramchand, X Xie, Augmenting Infrequent Relationships in Clinical Language Models with Graph-Encoded Hierarchical Ontologies, International Conference on AI in Healthcare, 31-44, 2024.

[204] A Guran, GKL Tam, J Chess, X Xie, Multi-stage Chronic Kidney Disease Classification on Longitudinal Data, International Conference on AI in Healthcare, 120-133, 2024.

[203] F Pick, X Xie, LY Wu, Contrastive Multitask Transformer for Hospital Mortality and Length-of-Stay Prediction, International Conference on AI in Healthcare, 134-145, 2024.

[202] Freya Hu, Hans Ren, Chen Hu, Yiming Li, Jingjing Deng, Xianghua Xie, Gradients Stand-in for Defending Deep Leakage in Federated Learning, International Conference on Computing in Natural Sciences, Biomedicine and Engineering, 2024.

[201] Deyin Liu, Lin Yuanbo Wu and Xianghua Xie, Blended Latent Diffusion under Attention Control for Real-World Video Editing, International Conference on Pattern Recognition and Artificial Intelligence, 2024.

[200] X Xie, C Hu, H Ren, J Deng, A survey on vulnerability of federated learning: A learning algorithm perspective, Neurocomputing, 2024.

[199] Connor Clarkson, Michael Edwards and Xianghua Xie, DENSE SEMANTIC REFINEMENT USING ACTIVE SIMILARITY LEARNING, International Journal on Computer Science and Information Systems, 2024.

[198] Yun Ai, Xianghua Xie, and Xiaoke Ma, Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks, IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.

[197] A Milne, X Xie, Steel surface roughness parameter prediction from laser reflection data using machine learning models, The International Journal of Advanced Manufacturing Technology, 2024.

[196] Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang, FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition, Neurocomputing, accepted, 2024.

[195] Yiming Li, Hanchi Ren, Jingjing Deng, Xiaoke Ma, Xianghua Xie, CENTERSAM: FULLY AUTOMATIC PROMPT FOR DENSE NUCLEUS SEGMENTATION, IEEE ISBI, 2024.

2023

[194] Avishek Siris; Jianbo Jiao; Gary K.L. Tam; Xianghua Xie; Rynson W.H. Lau, Inferring Attention Shifts for Salient Instance Ranking, International Journal of Computer Vision, accepted, 2023.

[193] Lin Yuanbo Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaid, Mohammed Bennamoun, Xianghua Xie, Jialie Shen, Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification, IEEE Transactions on Image Processing, accepted, 2023.

[192] Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaid, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang, Jacobian Norm with Selective Input Gradient Regularization for Interpretable Adversarial Defense, Pattern Recognition, accepted, 2023.

[191] Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Bo Tong, Xiaoke Ma, Image Restoration with Group Sparse Representation and Low-rank Group Residual Learning, IET Journal of Image Processing, accepted, 2023.

[190] Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie, An Element-Wise Weights Aggregation Method for Federated Learning, ICDM Workshop on Trustworthy Knowledge Discovery and Data Mining, December 2023.

[189] Connor Clarkson, Michael Edwards, Xianghua Xie, Active Anchors: Similarity Based Refinement Learning, 20th International Conference on Applied Computing, October 2023.

[188] Michael Kenning, Xianghua Xie, Attention-based Graph Estimation and Directed Convolution for Prediction of Traffic Conditions, KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD), 2023.

[187] B Li, LY Wu, D Liu, H Chen, Y Ye, X Xie, Image Template Matching via Dense and Consistent Contrastive Learning, IEEE International Conference on Multimedia and Expo (ICME), 1319-1324, 2023.

[186] Connor Clarkson, Michael Edwards, Xianghua Xie, Active Anchors, ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2023.

[185] Felix Richards, Adeline Paiement, Xianghua Xie, Elisabeth Sola, Pierre-Alain Duc, Panoptic Segmentation of Galactic Structures in LSB Images, 18th International Conference on Machine Vision Applications, Japan 2023.

[184] Kayal Lakshmanan, Matt Roach, Cinzia Giannetti, Shubham Bhoite, David George, Tim Mortensen, Manduhu Manduhu, Behzad Heravi, Sharadha Kariyawasam, Xianghua Xie, A Robust Vehicle Detection model for LiDAR sensor using Simulation Data and Transfer Learning Methods, AI, 2023

[183] Chen Hu, Xianghua Xie, Lin Wu, Face reenactment via generative landmark guidance, Image and Vision Computing, in press, 2023.

[182] SS Bahade, M Edwards, X Xie, Cascaded Graph Convolution Approach for Nuclei Detection in Histopathology Images, Journal of Image and Graphics 11 (1), 2023.

[181] Sachin Bahade, Michael Edwards and Xianghua Xie, Graph Proposal Neural Networks for Cell Detection Immunostained Hodgkin Lymphoma Histology Images, IEEE 20th International Symposium on Biomedical Imaging, 2023.

2022

[180] Sachin Shivdas Bahade, Michael Edwards, Xianghua Xie, Cascaded Graph Convolution Approach for Nuclei Detection in histopathology images, 6th International Conference on Video and Image Processing, December 2022.

[179] Suraj Nario Ramchand, Gavin Tsang, Duncan Cole and Xianghua Xie, RetainEXT: Enhancing Rare Event Detection and Improving Interpretability of Health Records using Temporal Neural Networks, IEEE International Conference on Biomedical and Health Informatics (BHI), 2022.

[178] F. Richards, X. Xie, A. Paiement, E. Sola, P.-A. Duc, MULTI-SCALE GRIDDED GABOR ATTENTION FOR CIRRUS SEGMENTATION, IEEE International Conference on Image Processing, 2022.

[177] Hassan Eshkiki , Benjamin Mora, and Xianghua Xie, Fully Connected Networks on a diet with the Mediterranean Matrix Multiplication, IEEE Transactions on Neural Networks and Learning Systems, accepted, 2022.

[176] Chen Hu and Xianghua Xie, One-shot Decoupled Face Reenactment with Vision Transformer, International Conference on Pattern Recognition and Artificial Intelligence, 2022.

[175] Hanchi Ren, Jingjing Deng, and Xianghua Xie, GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning, ACM Transactions on Intelligent Systems and Technology, accepted, 2022. [Pre-Print] | [Code]

[174] David George, Xianghua Xie, Yukun Lai, Gary K.L. Tam, A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections, Computer-Aided Design, Volume 144, 2022.

[173] Michael Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie, A directed graph convolutional neural network for edge-structured signals in link-fault detection, Pattern Recognition Letters, in press, 2022.

2021

[172] Jingjing Deng and Xianghua Xie, 3D Interactive Segmentation with Semi-Implicit Representation and Active Learning, IEEE Transactions on Image Processing, 2021.

[171] M. Almahasneh, A. Paiement, X. Xie, and J. Aboudarham, MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images, journal of Machine Vision Applications, 2021.

[170] Ali Alqahtani, Mohammed Ali, Xianghua Xie, Mark W Jones, Deep Time-Series Clustering: A Review, Journal of Electronics, 2021.

[169] Ali Alqahtani, Xianghua Xie, Mark W Jones, Literature Review of Deep Network Compression, Journal of Informatics, 2021.

[168] Shiyin Tan, Xiaoke Ma, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng, Joint multi-label learning and feature extraction for temporal link prediction, Pattern Recognition, Accepted, 2021

[167] Avishek Siris, Jianbo Jiao, Gary Tam, Xianghua Xie, Rynson Lau, Scene Context-Aware Salient Object Detection, International Conference on Computer Vision, Accepted, 2021.

[166] Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, and Xiaoke Ma, TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain, BMC Bioinformatics, 22(Suppl 9):274, 2021.

[165] Ehab Essa, Xianghua Xie, An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification, IEEE Access, 2021.

[164] Ehab Essa, Xianghua Xie, Deep Collaborative Learning for Randomly Wired Neural Networks, Electronics, 2021.

[163] Ali Alqahtani, Xianghua Xie, Mark W. Jones, Ehab Essa, Pruning CNN filters via quantifying the importance of deep visual representations, Computer Vision and Image Understanding, 2021.

[162] M. Kenning, S. Georgousis, X. Xie, Graph Deep Learning: State of the Art and Challenges, IEEE Access, 2021.

[161] Gavin Tsang, Shang-ming Zhou, Xianghua Xie, Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients using Primary Care Electronic Health Records, IEEE Journal of Translational Engineering in Health and Medicine, accepted 2021.

[160] Michael P. Kenning, Jingjing Deng, Michael Edwards and Xianghua Xie, Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network, International Conference on Pattern Recognition Applications and Methods, 2021.

[159] Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, and Jean Aboudarham, Active region detection in multi-spectral solar images, International Conference on Pattern Recognition Applications and Methods, 2021.

[158] Sachin Bahade, Michael Edwards, Xianghua Xie, Graph Convolution Networks for Cell Segmentation, International Conference on Pattern Recognition Applications and Methods, 2021.

[157] Julia Kelly; Natascha Kljun; Lars Eklundh; Leif Klemedtsson; Bengt Liljebladh; Per-Ola Olsson; Per Weslien; Xianghua Xie, Modelling and upscaling ecosystem respiration using thermal cameras and UAVs: application to a peatland during and after a hot drought, Agricultural and Forest Meteorology, 2021.

2020

[156] Ehab Essa and Xianghua Xie, Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification, 28th European Signal Processing Conference, 2020.

[155] Lee Au-Yeung, Xianghua Xie, Timothy Marcus Scale, James Anthony, Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care, International Conference on Pattern Recognition, accepted 2020.

[154] Gavin Tsang and Xianghua Xie, Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset, International Conference on Pattern Recognition, accepted 2020.

[153] Ali Alqahtani, Xianghua Xie, Ehab Essa, Mark W. Jones, Neuron-based Network Pruning Based on Majority Voting, International Conference on Pattern Recognition, accepted 2020.

[152] Avishek Siris, Jianbo Jiao, Gary K.L. Tam, Xianghua Xie, Rynson W.H. Lau, Inferring Attention Shift Ranks of Objects for Image Saliency, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

[151] Michael Edwards, Xianghua Xie, Robert Palmer, Gary Tam, Rob Alcock, Carl Roobottom, Graph Convolutional Neural Networks for Multi-Scale Feature Learning, Journal of Computer Vision and Image Understanding (CVIU), 2020.

2019

[150] Huaizhong Zhang, Ehab Essa, Xianghua Xie, | Automatic vessel lumen segmentation in optical coherence tomography (OCT) images, Applied Soft Computing Journal, accepted 2019.

[149] M. Ali, A. Alqahtani, M. W. Jones, X. Xie, Clustering and Classification for Time Series Data in Visual Analytics: A Survey, IEEE Access, accepted, 2019.

[148] Ali Alqahtani, Xianghua Xie, Jingjing Deng, & Mark Jones, Learning Discriminatory Deep Clustering Models, International Conference on Computer Analysis of Images and Patterns, 2019.

[147] Mohammed Ali, Mark Jones, Xianghua Xie, & Mark Williams, TimeCluster: dimension reduction applied to temporal data for visual analytics, The Visual Computer, 35(6-8), 1013-1026, 2019.

[146] Ehab Essa, Jonathan Jones, Xianghua Xie, Coupled s-Excess HMM For Vessel Border Tracking and Segmentation, International Journal for Numerical Methods in Biomedical Engineering, 2019, Accepted.

[145] Tsang, Gavin., Xie, Xianghua. & Zhou, S. Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities and Challenges, IEEE Transactions on Reviews in Biomedical Engineering, 2019. Accepted.

[144] Sachin Bahade, Michael Edwards, and Xianghua Xie, Graph Convolutional Neural Network for segmentation of immunostained Hodgkin Lymphoma histology images, 23rd Conference in Medical Imaging, Understanding and Analysis, July 2019.

[143] Louise Terry, Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Nick White, Tom H Margrain, Rachel V North, Ashley Wood, Feature analysis of the choroid in optical coherence tomography images–limitations and opportunities, Investigative Ophthalmology & Visual Science, 60:9, 2019.

[142] Wang, Taiwei., George, David., Lai, Yu-Kun., Xie, Xianghua. & Tam, Gary K.L.. Consistent segment-wise matching with multi-layer graphs. Computer Aided Geometric Design 70, 31-45, 2019.

[141] Taiwei Wang, David George, Yu-kun Lai, Xianghua Xie, Gary KL Tam, Consistent Segment-wise Matching with Multi-Layer Graphs, International Conference on Geometric Modeling and Processing, June 2019.

[140] Momotov, Alex. and Xie, Xianghua. Determining Lead-Lag Structure between Sentiment Index and Stock Price Returns. International Conference on Data Mining and Knowledge Discovery, April 2019.

2018

[139] Shang-Ming Zhou, Gavin Tsang, Xianghua Xie, Lin Huo, Sinead Brophy, and Ronan A Lyons, Mining Electronic Health Records to Identify Influential Predictors Associated with Hospitalisation of Dementia Patients: An Artificial Intelligence Approach, The Lancet, volume 392, S9, November 2018.

[138] Mohammed Ali, Mark Jones, Xianghua Xie, Mark Williams, Towards Visual Exploration of Large Temporal Datasets, International Symposium on Big Data Visual and Immersive Analytics (BDVA), October 2018.

[137] Michael Kenning, Xianghua Xie, Michael Edwards, Jingjing Deng, Local Representation Learning with Convolutional Autoencoder, IEEE International Conference on Image Processing, 2018.

[136] Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark Jones, A Deep Convolutional Auto-encoder with Embedded Clustering, IEEE International Conference on Image Processing, 2018.

[135] Gavin Tsang, Jing Jing Deng, Xianghua Xie, Recurrent Neural Networks for Financial Time-Series Modelling, International Conference on Pattern Recognition, 2018.

[134] Wang, Taiwei, George, David, Lai, Yukun, Xie, Xianghua and Tam, Gary K.L, Consistent segment-wise matching with multi-layer graphs. Computer Graphics & Visual Computing, September 2018.

[133] Paul Stroe, Xianghua Xie, Adeline Paiement, Manifold modeling of the beating heart motion, Medical Image Understanding and Analysis, 2018.

[132] D. George, X. Xie, and G. Tam, 3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks, Journal of Graphical Models, 2018.

2017

[131] E. Essa, X. Xie, "Automatic segmentation of cross-sectional coronary arterial images", Journal of Computer Vision and Image Understanding (CVIU), volume 165, pages 97-110, 2017.

[130] E. Essa and X. Xie, Phase Contrast Cell Detection Using Multi-level Classification, International Journal for Numerical Methods in Biomedical Engineering, 2017.

[129] E. Boileau, S. Pant, C. Roobottom, I. Sazonov, J. Deng, X. Xie, and P. Nithiarasu, Estimating the Accuracy of a Reduced-Order Model for the Calculation of Fractional Flow Reserve (FFR), International Journal for Numerical Methods in Biomedical Engineering, 2017.

[128] D. Ravenscroft, J. Deng, X. Xie, L. Terry, T.H. Margrain, R.V. North, and A. Wood, AMD Classification in Choroidal OCT using Hierarchical Texton Mining, In Proceedings of Advanced Concepts for Intelligent Vision Systems, September 2017.

[127] D. Ravenscroft, J. Deng, X. Xie, L. Terry, T.H. Margrain, R.V. North, and A. Wood, Learning Feature Extractors for AMD Classification in OCT Using Convolutional Neural Networks, In Proceedings of European Signal Processing Conference, September 2017.

[126] J. Deng and X. Xie, Detect Face in the Wild using CNN Cascade with Feature Aggregation at Multi-Resolution, In Proceedings of IEEE International Conference on Image Processing, September 2017.

[125] Xianghua Xie, Mark Jones, and Gary Tam, Recognition, Tracking, and Optimisation, International Journal of Computer Vision, Volume 122, Issue 3, pp 409–410, May 2017.

[124] I. Sazonova, X. Xie and P. Nithiarasu, An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images, Journal of Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualisation, VOL. 5, NO. 4, pages 287–296, 2017.

[123] Xianghua Xie, Co-Editor, Proceedings of the 5th International Conference on Computational & Mathematical Biomedical Engineering, Pittsburgh USA, April 2017.

[122] Michael Edwards, Jingjing Deng, and Xianghua Xie, Labeling Subtle Conversational Interactions Within the CONVERSE Dataset, International Workshop on Annotation of useR Data for UbiquitOUs Systems, March 2017.

[121] Jingjing Deng and Xianghua Xie, Nested Shallow CNN-Cascade for Face Detection in the Wild, In Proceedings of the 12th IEEE Conference on Automatic Face and Gesture Recognition, June 2017.

[120] Ehab Essa and Xianghua Xie, Segmentation and Tracking of Coronary Arterial Wall. In Proceedings of Computational and Mathematical Biomedical Engineering, April 2017.

2016

[119] Robert I Palmer and Xianghua Xie, Neural Network Boundary Detection for 3D Vessel Segmentation, In Proceedings of Advanced Concepts for Intelligent Vision Systems, October 2016.

[118] Jingjing Deng, Xianghua Xie and Michael Edwards, Combining Stacked Denoising Autoencoders and Random Forests for Face Detection, In Proceedings of Advanced Concepts for Intelligent Vision Systems, October 2016.

[117] M. Edwards and X. Xie, Graph Convolutional Neural Network, In Proceedings of British Machine Vision Conference, September 2016.

[116] A. Paiement, M. Mirmehdi, X. Xie, and M. Hamilton, Registration and Modeling from Spaced and Misaligned Image Volumes, IEEE Transactions on Image Processing (T-IP), volume 25, issue 9, pages 4379-4393, 2016.

[115] Ben Daubney, Xianghua Xie, Jingjing Deng, Neil Parthalain, and Reyer Zwiggelaar, Fixing the Root Node: Efficient Tracking and Detection of 3D Human Pose through Local Solutions, in Image and Vision Computing, volume 52, pages 73 -- 87, August 2016.

[114] Ehab Essa, Xianghua Xie, Richard Turner, Matthew Stevens, and Daniel Power, Extracting Lineage Information From Hand-Drawn Ancient Maps, In Proceedings of International Conference on Image Analysis and Recognition (ICIAR), July 2016.

[113] J. Jones and X. Xie, Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images, In Proceedings of International Conference on Image Analysis and Recognition (ICIAR), July 2016.

[112] J. Deng, X. Xie, L. Terry, A. Wood, N. White, T.H. Margrain, and R.V. North, Age-Related Macular Degeneration Detection and Stage Classification using Choroidal OCT Images, In Proceedings of International Conference on Image Analysis and Recognition (ICIAR), July 2016.

[111] M. Edwards, J. Deng, and X. Xie, From pose to activity: Surveying datasets and introducing converse, Computer Vision and Image Understanding, vol. 144, pages 73–105, March 2016.

2015

[110] H. Zhang and X. Xie, Divergence of Gradient Convolution: Deformable Segmentation with Arbitrary Initializations, IEEE Transactions on Image Processing (T-IP), volume 24, issue 11, pages 3902-3914, November 2015.

[109] E. Essa, X. Xie, and J.-L. Jones, Minimum s-Excess Graph for Segmenting and Tracking Multiple Borders with HMM, Int'l Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 2, pages 28-35, October 2015.

[108] Xianghua Xie, Mark Jones, Gary Tam, Editors, Proceedings of the 26th British Machine Vision Conference, BMVA Press, September 2015.

[107] R. Palmer, X. Xie and G. Tam, Automatic Aortic Root Segmentation with Shape Constraints and Mesh Regularisation, In Proc. of the British Machine Vision Conference (BMVC), September 2015.

[106] D. George, G. Tam and X. Xie, Analysis of face and segment level descriptors for robust 3D co-segmentation, In Proc. of the 7th UK Computer Vision Student Workshop (BMVW), September 2015.

[105] M. Edwards and X. Xie, Generating Local Temporal Poses from Gestures with Aligned Cluster Analysis for Human Action Recognition, In Proc. of the 7th UK Computer Vision Student Workshop (BMVW), September 2015.

[104] F. Zhao and X. Xie, Energy Minimization in Medical Image Analysis: Methodologies & Applications, International Journal for Numerical Methods in Biomedical Engineering, 2015. (accepted)

[103] E. Essa, X. Xie, R.J. Errington, and N. White, A Multi-Stage Random Forest Classifier for Phase Contrast Cell Segmentation, In Proc. 37th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society, 25-29 August, 2015.

[102] F. Zhao, X. Xie, and M. Roach, Computer Vision Techniques for Transcatheter Intervention, IEEE Journal of Translational Engineering in Health and Medicine, volume 3, pages 1900331.1–31, June 2015.

[101] J.-L. Jones, E. Essa, and X. Xie, Automatic Segmentation of Lymph Vessel Wall using Optimal Surface Graph Cut and Hidden Markov Models, In Proc. 37th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society, 25-29 August, 2015.

[100] R. Palmer, X. Xie and G. Tam, Finding Complete 3D Vertex Correspondence for Statistical Shape Modeling, In Proc. 37th Annual Int. Conf. IEEE Engineering in Medicine and Biology Society, 25-29 August, 2015.

[99] Xianghua Xie, Co-Editor, Proceedings of the 4th International Conference on Computational & Mathematical Biomedical Engineering, Paris, July 2015.

[98] E. Essa, X. Xie, R.J. Errington, and N. White, Phase contrast cell segmentation using machine learning approach, In Proc. 4th Int. Conf. Computational and Mathematical Biomedical Engineering, 29 June - 1 July, 2015.

[97] R. Palmer, G. Tam, X. Xie, R. Alock, and C. Roobottom, Computing 3D Mesh Correspondence for Aortic Root Shape Modelling, In Proceedings of the 19th Conference on Medical Image Understanding and Analysis, July 2015.

[96] E. Essa, X. Xie, and J.-L. Jones, Graph Based Lymphatic Vessel Wall Localisation and Tracking, In Proceedings of 10th IAPR-TC15 Workshop on Graph-Based Representations in Pattern Recognition, pp. 345-354, May 2015.

2014

[95] J.-L. Jones, X. Xie, and E. Essa, Combining Region-based and Imprecise Boundary-based Cues for Interactive Medical Image Segmentation, International Journal for Numerical Methods in Biomedical Engineering, volume 30, issue 12, pages 1649–1666, December, 2014.

[94] J. Deng, X. Xie, and S. Zhou, Conversational Interaction Recognition based on Bodily and Facial Movement, In Proceedings of International Conference on Image Analysis and Recognition (ICIAR), October 2014.

[93] J. Deng, X. Xie, R. Alcock, and C. Roobottom, 3D Interactive Coronary Artery Segmentation using Random Forests and Markov Random Field Optimization, In Proceedings of IEEE International Conference on Image Processing, October 2014.

[92] A. Lacey, J. Deng, and X. Xie, Protein Classification using Hidden Markov Models and Randomised Decision Trees, In Proc. Int'l Conf. BioMedical Engineering and Informatics, pp. 659-664, October 2014.

[91] M. Edwards and X. Xie, Footstep Pressure Signal Analysis for Human Identification, In Proc. Int'l Conf. BioMedical Engineering and Informatics, pp. 307-312, October 2014.

[90] D. James, X. Xie, and P. Eslambolchilar, A Discriminative Approach to Automatic Seizure Detection in Multichannel EEG Signals, In proceedings of the 22nd European Signal Processing Conference, September 2014.

[89] E. Boileau, I. Sazonov, R. van Loon, X. Xie, and P. Nithiarasu, An Improved Coronary Model for One-Dimensional Pressure-Flow Analysis, In Proc. 11th World Congress on Computational Mechanics, July 2014.

[88] J. Deng, X. Xie, and B. Daubney, A bag of words approach to subject specific 3D human pose interaction classification with random decision forests, Graphical Models, Volume 76, Issue 3, Pages 162–171, May 2014.

[87] H. Zhang and X. Xie, An Adaptive Denoising Method to Reduce Rician Noise in MRI, IEEE International Symposium on Biomedical Imaging, April 2014.

[86] S. Y. Yeo, X. Xie, I. Sazonov, and P. Nithiarasu, Segmentation of biomedical images using active contour model with robust image feature and shape prior, International Journal for Numerical Methods in Biomedical Engineering, Volume 30, Issue 2, pages 232–248, February 2014.

[85] A. Paiement, M. Mirmehdi, X. Xie, and M. Hamilton, Integrated Segmentation and Interpolation of Sparse Data, IEEE Transactions on Image Processing (T-IP), volume 23, issue 1, pages 110-125, January 2014.


2013

[84] Xianghua Xie, Co-Editor, Proceedings of the 3rd International Conference on Computational & Mathematical Biomedical Engineering, Hong Kong, December 2013.

[83] A. Tappenden, A. Ionescu, X. Xie, and R. van Loon, Parameter estimation of heart, valve and vasculature, In Proceedings of International Conference on Computational and Mathematical Biomedical Engineering, December 2013.

[82] I. Sazonov, X. Xie, and P. Nithiarasu, Modification of the GPF method for efficient segmentation of high dimensional medical scans, In Proceedings of International Conference on Computational and Mathematical Biomedical Engineering, December 2013.

[81] J.-L. Jones, E. Essa, X. Xie and J. Cotton, Interactive segmentation of lumen border in OCT, In Proceedings of International Conference on Computational and Mathematical Biomedical Engineering, December 2013.

[80] D. Chen, J. Deng, X. Xie, P. Nithiarasu, and D. Smith, Efficient reconstruction of coronary vessels from 2D angiography, In Proceedings of International Conference on Computational and Mathematical Biomedical Engineering, December 2013.

[79] J. Deng, X. Xie, B. Daubney, H. Fang, and P. W. Grant, Recognizing Conversational Interaction based on 3D Human Pose, In Proceedings of Advanced Concepts for Intelligent Vision Systems, pages 138-149, October 2013.

[78] H. Zhang, E. Essa, and X. Xie, Graph Based Segmentation with Minimal User Interaction, In Proceedings of IEEE International Conference on Image Processing, pages 4074-4078, September 2013.

[77] H. Fang, J. Deng, X. Xie and P. W. Grant, From Clamped Local Shape Models to Global Shape Model, In Proceedings of IEEE International Conference on Image Processing, pages 3513-3517, September 2013.

[76] J.-L. Jones, X. Xie, and E. Essa, Image Segmentation using Combined User Interactions, In Proceedings of the Computational Visual Media Conference, September 2013.

[75] J. Deng, X. Xie, and B. Daubney, A Bag of Words Approach to 3D Human Pose Interaction Classification with Random Decision Forests, In Proceedings of the Computational Visual Media Conference, September 2013.

[74] J.-L. Jones, E. Essa, X. Xie, and D. Smith, Interactive Segmentation of Media-Adventitia Border in IVUS, In Proceedings of 15th International Conference on Computer Analysis of Images and Patterns, pages 466-474, August 2013.

[73] R. Yang, M. Mirmehdi, X. Xie, and D. Hall, Shape and Appearance Priors for Level Set-based LV Segmentation, IET Journal of Computer Vision, vol. 7, no.3, pp. 170-183, 2013.

[72] Xianghua Xie, Guest Editor, Medical Image Understanding and Analysis 2012 Special Issue, Annals of the BMVA, vol. 2013, 2013.

[71] Xianghua Xie, Guest Editorial: Medical Image Understanding and Analysis, MIUA 2012 Special Issue, Annals of the BMVA, vol. 2013, no. 1, pages 1 - 2, 2013.

[70] Feng Zhao and Xianghua Xie, An Overview on Interactive Medical Image Segmentation, Annals of the BMVA, vol. 2013, no. 7, pages 1 -22, 2013.

[69] Xianghua Xie, Si Yong Yeo, Majid Mirmehdi, Igor Sazonov, and Perumal Nithiarasu, Image Gradient Based Level Set Methods in 2D and 3D, In Deformation Models, Edited by G. Hidalgo et al., Springer, 2013.


2012

[68] R. Borgo et al., State of the Art Report on Video-based Graphics and Video Visualizations, Computer Graphics Forum, volume 31, issue 8, pages 2450 - 2477, December 2012.

[67] E. Essa, X. Xie, I. Sazonov, P. Nithiarasu, D. Smith, Shape Prior Model for Media-Adventitia Border Segmentation in IVUS using Graph Cut, In MICCAI Medical Computer Vision, September 2012.

[66] I. Sazonov, X. Xie, P. Nithiarasu, Efficient Geometrical Potential Force Computation for Deformable Model Segmentation, In MICCAI Medical Computer Vision, September 2012.

[65] Xianghua Xie, Editor, Proceedings of the 16th Conference on Medical Image Understanding and Analysis, BMVA Press, July 2012.

[64] H. Zhang and X. Xie, Medical Image Segmentation Using Magnetostatic Active Contours (MAC) with Tensor Diffusion, In Proceedings of the 16th Conference on Medical Image Understanding and Analysis, July 2012.

[63] E. Essa, X. Xie, I. Sazonov, P. Nithiarasu, D. Smith, Graph-based Segmentation of Optimal IVUS Media-Adventitia Border using Shape Prior, In Proceedings of the 16th Conference on Medical Image Understanding and Analysis, July 2012.

[62] I. Sazonov, X. Xie, S. Y. Yeo, R. Bevan, R. van Loon, P. Nithiarasu, Segmentation and Mesh Generation for Patient-Specific Flow Modelling in Carotid Arteries, In Proceedings of the 16th Conference on Medical Image Understanding and Analysis, July 2012.

[61] S. Y. Yeo, X. Xie, I. Sazonov, P. Nithiarasu, GPF Deformable Model based Vessel Segmentation in CT, In Proceedings of the 16th Conference on Medical Image Understanding and Analysis, July 2012.

[60] F. Zhao and X. Xie, Interactive Segmentation of Medical Images: A Survey, In Proceedings of the 16th Conference on Medical Image Understanding and Analysis, July 2012.

[59] J. Chiverton, X. Xie, and M. Mirmehdi, Automatic Bootstrapping and Tracking of Object Contours, IEEE Transactions on Image Processing (T-IP), volume 21, issue 3, pages 1231 - 1245, March 2012.

[58] H. Zhang and X. Xie, An adaptive MRI denoising method using self-snakes with a Rayleigh smoothing kernel, In Proceedings of the International Conference on Bioinformatics and Biomedical Engineering, May 2012.

[57] S. Yeo, X. Xie, I. Sazonov, P. Nithiarasu, Segmentation of Vessel Geometries from Medical Images using GPF Deformable Model, In Proceedings of the International Conference on Pattern Recognition Applications and Methods, February 2012.

[56] Z. Hou, S. Hannuna, X. Xie, M. Mirmehdi, Line Histogram: A Fast Method for Rotated Rectangular Area Histogramming, In Proceedings of the International Conference on Pattern Recognition Applications and Methods, February 2012.

[55] R. Liu and X. Xie, An Applied Study of Human Detection in Single Images, In Proceedings of the International Workshop on Image Processing and Optical Engineering, January 2012.


2011

[54] B. Daubney and X. Xie, Entropy Driven Hierarchical Search for 3D Human Pose Estimation, In Proceedings of the 22nd British Machine Vision Conference, September 2011.

[53] E. Essa, X. Xie, I. Sazonov, P. Nithiarasu, Automatic IVUS Media-Adventitia Border Extraction using Double-Interface Graph Cut Segmentation, In Proceedings of the 18th IEEE International Conference on Image Processing, September 2011.

[52] S. Yeo, X. Xie, I. Sazonov and P. Nithiarasu, Level Set Segmentation with Robust Image Gradient Energy and Statistical Shape Prior, In Proceedings of the 18th IEEE International Conference on Image Processing, September 2011.

[51] I. Sazonov, S.Y. Yeo, R.L.T Bevan, X. Xie, R. van Loon, P. Nithiarasu, Modelling pipeline for subject-specific arterial blood flow - A review, International Journal for Numerical Methods in Biomedical Engineering, volume 27, issue 12, pages 1868-1910, December 2011.

[50] E. Essa, X. Xie, I. Sazonov, P. Nithiarasu, D. Smith, Automatic Segmentation of IVUS Media-Adventitia Border with Shape Prior, In Proceedings of the 15th Medical Image Understanding and Analysis, July 2011.

[49] S. Yeo, X. Xie, I. Sazonov and P. Nithiarasu, Geometrically Induced Force Interaction for Three-Dimensional Deformable Models, IEEE Transactions on Image Processing (T-IP), volume 20, number 5, pages 1373 - 1387, IEEE CS Press, May 2011.

[48] Ben Daubney and Xianghua Xie, Tracking 3D Human Pose with Large Root Node Uncertainty, In Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.

[47] X. Xie, S. Yeo, I. Sazonov, P. Nithiarasu, Extracting 3D Structures from Biomedical Data, In Proceedings of the 5th International Conference on Bioinformatics and Biomedical Engineering, May 2011.

[46] R. Borgo, M. Chen, B. Daubney, E. Grundy, H. Janicke, G. Heidemann, B. Hoferlin, M. Hoferlin, D. Weiskopf, X. Xie (authors are listed in alphabetical order), A Survey on Video-based Graphics and Video Visualization, Eurographics State-of-the-art (STAR) Report, April 2011.

[45] E. Essa, X. Xie, I. Sazonov, P. Nithiarasu, Local Phase based Automatic VIUS Media-Adventitia Border Detection, In Proceedings of the 2nd International Conference on Mathematical and Computational Biomedical Engineering, April 2011.

[44] P. Nithiarasu, R. Lohner, R. van Loon, I. Sazonov, and X. Xie, Editors, Proceedings of the 2nd International Conference on Mathematical and Computational Biomedical Engineering, April 2011.

[43] S. Yeo, X. Xie, I. Sazonov, P. Nithiarasu, Variational Level Set Segmentation using Shape Prior, In Proceedings of the 2nd International Conference on Mathematical and Computational Biomedical Engineering, April 2011.

[42] Xianghua Xie and Majid Mirmehdi, Radial Basis Function based Level Set Interpolation and Evolution for Deformable Modelling, Image and Vision Computing, volume 29, issues 2-3, 167 - 177, February 2011.


2010

[41] V. Javier Traver, Majid Mirmehdi, Xianghua Xie, Raul Montoliu, Fast Dynamic Texture Detection, In Proceedings of the 11th European Conference on Computer Vision (ECCV2010), September 2010.

[40] Xianghua Xie, Level Set based Segmentation using Local Feature Distribution, In Proceedings of the 20th International Conference on Pattern Reconition, August 2010.

[39] Ben Daubney and Xianghua Xie, Estimating 3D Human Pose from Single Images using Iterative Refinement of the Prior, In Proceedings of the 20th International Conference on Pattern Reconition, August 2010.

[38] Xianghua Xie and Majid Mirmehdi, Initialisation-Free Active Contour Segmentation, In Proceedings of the 20th International Conference on Pattern Reconition, August 2010.

[37] Ben Daubney and Xianghua Xie, Estimating 3D Pose via Stochastic Search and Expectation Maximization, In Proceedings of the 6th Conference on Articulated Motion and Deformable Objects, July 2010.

[36] Adeline Paiement, Majid Mirmehdi, Xianghua Xie, and Mark Hamilton, Simultaneous level set interpolation and segmentation of short- and long-axis MRI, In Proceedings of Medical Image Understanding and Analysis, July 2010.

[35] Xianghua Xie, Textured Image Segmentation using Active Contours, In Computer Vision, Imaging and Computer Graphics: Theory and Applications, Selected Papers, Internaitonal Conference on Computer Vision Theory and Applications, CCIS volume 68, 357 - 369, July 2010.

[34] Xianghua Xie, An Applied Comparative Study on Active Contour Models in Mammographic Image Segmentation, In Performance Evaluation of Breast Cancer Screening, Diagnosis and Treatment, Edited by Ng, Rajendra Acharya, Suri, ASP, June, 2010.

[33] Xianghua Xie, Active Contouring Based on Gradient Vector Interaction and Constrained Level Set Diffusion, IEEE Transactions on Image Processing (T-IP), volume 19, number 1, pages 154 - 164, IEEE CS Press, January 2010.


2009

[32] Yonghuai Liu, Longzhuang Li, Xianghua Xie, Baigang Wei, Range Image Registration Using Hierarchical Segmentation and Clustering, In Proceedings of The 8th IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 15-18, December 2009.

[31] Ronghua Yang, Majid Mirmehdi, Xianghua Xie and David Hall, Shape and Appearance based Spatiotemporal Constraint for LV Segmentation in 4D Cardiac SPECT, In Proceedings of Cardiovascular Interventional Imaging and Biophysical Modelling, A MICCAI Workshop, September 2009.

[30] John Chiverton, Xianghua Xie and Majid Mirmehdi, Probabilistic Sequential Segmentation and Simultaneous On-Line Shape Learning of Multi-Dimensional Medical Imaging Data, In Proceedings of Probablistic Models for Medical Image Analysis, A MICCAI Workshop, September 2009.

[29] Si Yong Yeo, Xianghua Xie, Igor Sazonov and Perumal Nithiarasu, Geometric Potential Force for the Deformable Model, In Proceedings of the 20th British Machine Vision Conference, BMVA press, September 2009.

[28] John Chiverton, Majid Mirmehdi and Xianghua Xie, On-line Learning of Shape Information for Object Segmentation and Tracking, In Proceedings of the 20th British Machine Vision Conference, BMVA press, September 2009.

[27] Si Yong Yeo, Xianghua Xie, Igor Sazonov and Perumal Nithiarasu, Segmentation of Human Upper Airway Using a Level Set Based Deformable Model, In Proceedings of the 13th Medical Image Understanding and Analysis, July 2009.

[26] Xianghua Xie, Mammographic Image Segmentation using Edge Based Deformable Contour Models, In Proceedings of International Conference on Computational & Mathematical Biomedical Engineering, June 2009.

[25] Si Yong Yeo, Igor Sazonov, Xianghua Xie and Perumal Nithiarasu, Level Set Based Automatic Segmentation of Human Aorta, In Proceedings of International Conference on Computational & Mathematical Biomedical Engineering, June 2009.

[24] Filiberto Pla, Gema Gracia, Pedro García-Sevilla, Majid Mirmehdi, Xianghua Xie, Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation, In Proceedings of the 4th Iberian Pattern Recognition and Image Analysis Conference, pp. 257-264, June 2009.

[23] Sion Hannuna, Xianghua Xie, Majid Mirmehdi and Neill Campbell, Generic Motion Based Object Segmentation for Assisted Navigation, In Proceedings of International Conference on Computer Vision Theory and Applications, February 2009.

[22] Xianghua Xie, Textured Image Segmentation Based on Local Spectral Histogram and Active Contour, In Proceedings of International Conference on Computer Vision Theory and Applications, pp. 217-225, February 2009.


2008

[21] John Chiverton, Majid Mirmehdi and Xianghua Xie, Variational Logistic Maximum A Posteriori Model Similarity and Dissimilarity Matching, In Proceedings of the 19th International Conference on Pattern Recognition, IEEE press, December 2008.

[20] John Chiverton, Xianghua Xie and Majid Mirmehdi, Tracking with Active Contours Using Dynamically Updated Shape Information, In Proceedings of the 19th British Machine Vision Conference, BMVA press, September 2008.

[19] Xianghua Xie and Majid Mirmehdi, MAC: Magnetostatic Active Contour Model, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), volume 30, number 4, pages 632 - 646, IEEE CS Press, April 2008.

[18] Majid Mirmehdi, Xianghua Xie, and Jasjit Suri, Handbook of Texture Analysis, Imperial College Press, 2008.

[17] Xianghua Xie and Majid Mirmehdi, Texems: Random Texture Representation and Analysis, In Handbook of Texture Analysis, Edited by Mirmehdi, Xie, Suri, Chapter 4, Imperial College Press, 2008.

[16] Xianghua Xie and Majid Mirmehdi, A Galaxy of Texture Features, In Handbook of Texture Analysis, Edited by Mirmehdi, Xie, Suri, Chapter 13, Imperial College Press, 2008.

[15] Xianghua Xie, A Review of Recent Advances in Surface Defect Detection using Texture Analysis Techniques, Electronic Letters on Computer Vision and Image Analysis, Special Issue on Quality Control by Artificial Vision, volume 7, number 3, pages 1 - 25, CVC Press, 2008.


2007

[14] Xianghua Xie and Majid Mirmehdi, Implicit Active Model using Radial Basis Function Interpolated Level Sets, In Proceedings of the 18th British Machine Vision Conference, pages 1040-1049, BMVA press, September 2007.

[13] Xianghua Xie and Majid Mirmehdi, TEXEMS: Texture Exemplars for Defect Detection on Random Textured Surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), volume 29, number 8, pages 1454 - 1464, IEEE CS Press, August 2007.

[12] Xianghua Xie and Majid Mirmehdi, Colour Image Segmentation using Texems, Annals of the British Machine Vision Association, number 6, pages 1-10, BMVA Press, January 2007.


2006

[11] Xianghua Xie and Majid Mirmehdi, Magnetostatic Field for the Active Contour Model: A Study in Convergence, In Proceedings of the 17th British Machine Vision Conference, pages 127-136, BMVA press, September 2006.

[10] Ronghua Yang, Majid Mirmehdi and Xianghua Xie, A Charged Active Contour based on Electrostatics, In Proceedings of the 8th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS), pages 173-184, Springer LNCS 4179, September 2006.

[9] Xianghua Xie, Majid Mirmehdi and Barry Thomas, Colour Tonality Inspection using Eigenspace Features, Machine Vision and Applications, volume 16, number 6, pages 364-373, Springer Press, February 2006.


2005

[8] Xianghua Xie and Majid Mirmehdi, A Region-Aided Color Geometric Snake, In Handbook of Biomedical Image Analysis: Segmentation Models, Edited by Jasjit Suri, David Wilson, Swamy Laxminarayan, volume 1, chapter 10, pages 535-582, Springer Press, USA, 2005.

[7] Xianghua Xie and Majid Mirmehdi, Localising Surface Defects in Random Colour Textures using Multiscale Texem Analysis in Image Eigenchannels, In Proceedings of the 12th IEEE International Conference on Image Processing, volume 3, pages 1124-1127, IEEE CS Press, September 2005.

[6] Xianghua Xie and Majid Mirmehdi, Texture Exemplars for Defect Detection on Random Textures, In Proceedings of the 3rd International Conference on Advances in Pattern Recognition, pages 404-413, Springer LNCS 3687, August 2005.

[5] Xianghua Xie, Majid Mirmehdi, Richard Maw and Amanda Hall, Detecting Abnormalities in Tympanic Membrane Images, In Proceedings of the 9th Medical Image Understanding and Analysis, pages 19-22, BMVA Press, July 2005.


2004

[4] Xianghua Xie and Majid Mirmehdi, RAGS: Region-Aided Geometric Snake, IEEE Transactions on Image Processing (T-IP), volume 13, issue 5, pages 640 - 652, IEEE CS Press, May 2004.

[3] Xianghua Xie, Majid Mirmehdi and Barry Thomas, Inspecting Colour Tonality on Textured Surfaces, In Proceedings of the 1st International Conference on Image Analysis and Recognition, pages 810-817. Springer LNCS 3212, September 2004.


2003

[2] Xianghua Xie and Majid Mirmehdi, Level-Set Based Geometric Colour Snake with Region Support, In Proceedings of the 10th IEEE International Conference on Image Processing, volume 2, pages 153-156. IEEE CS Press, September 2003.

[1] Xianghua Xie and Majid Mirmehdi, Geodesic Colour Active Contour Resistent to Weak Edges and Noise, In Proceedings of the 14th British Machine Vision Conference, pages 399-408. BMVA Press, September 2003.

Abstract:

  • Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark Hamilton, Integrated Registration, Segmentation and Interpolation of Cardiac Cine MRI. British Society of Cardiovascular Imaging Annual Spring Meeting, May 2013.
  • Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark Hamilton, Integrated Registration, Segmentation and Interpolation of Sparse Medical Data. Rank Prize Symposium on Medical Imaging Meets Computer Vision, March 2013.
  • A. Tappenden, X. Xie, A. Ionescu, and R. van Loon, Non-Invasive Quantification of Complex Heart Valve Lesions: A model-based approach using 3D echocardiography, In Bioengineering 2012, Oxford.
  • Si Yong Yeo, Igor Sazonov, Xianghua Xie, and Perumal Nithiarasu, Volumetric Segmentation of Human Airway using Deformable Models, In Congress of the European Society of Biomechanics 2010, Edinburgh.
  • I. Sazonov, S. Ashraf, H. Luckraz, P. Nithiarasu, P.H. Saksono, R. van Loon, X. Xie, and S.Y. Yeo, Patient-Specific Numerical Simulation of Blood Flow in an Aortic Aneurysm, In Bioengineering 2009, Oxford.
  • Xianghua Xie, Perumal Nithiarasu, Igor Sazonov, and Si Yong Yeo, Extracting Anatomical Structures from 2D and 3D Medical Data using a Robust Deformable Model, In Bioengineering 2009, Oxford.

Theses:

PhD Theses

Research Masters

Conference Keynote:

  • X. Xie, Deformable Model in Segmentation and Tracking, 8th Conference on Articulated Motion and Deformable Objects, July 2012.

Conference/Summer School Tutorial:

  • X. Xie, Image Segmentation, 23rd BMVA Computer Vision Summer School, July 2018.
  • X. Xie, Image Segmentation, 22nd BMVA Computer Vision Summer School, July 2017.
  • X. Xie, Image Segmentation, 21st BMVA Computer Vision Summer School, July 2016.
  • X. Xie, Supervised Learning: from linear analysis to neural network, 21st BMVA Computer Vision Summer School, July 2016.
  • X.Xie, Image Segmentation, 20th BMVA Computer Vision Summer School, 9 July 2015.
  • X.Xie, Image Segmentation, 19th BMVA Computer Vision Summer School, 30 June 2014.
  • X. Xie, Level Set Based Deformable Models for Image Segmentation, International Conference on Signal, Image Technology & Internet Based System, 16 December 2007.

Seminar Talk:

  • X. Xie, Deep Learning for Healthcare, 16 March 2022, Durham University.
  • X. Xie, Deep Learning for Healthcare, 19 March 2021, Leicester University.
  • X. Xie, Efficient Machine Learning and Applications, 28 February 2018, University of Portsmouth.
  • X. Xie, Visual Learning for Biomedical Applications, invited talk at EPSRC and POEM workshop on Computational Modelling in Healthcare: Making Confident Predictions in a World of Error and Uncertainty, Glasgow University, 26 April 2016.
  • X. Xie, Medical Image Segmentation using Combinatorial Optimisation, Department of Computer Science, Aber University, 3 November 2014.
  • X. Xie, Computer Vision for Biomedical Applications, Mathematical and Computational Modelling in Cardiovascular Problems, British Council Researcher Links Workshop, Institute of Numerical Methods, Moscow, 15 - 17 April 2014.
  • X. Xie, Deformable and Articulated Objects in Computer Vision and Medical Imaging, 20 December 2013, Shanghai JiaoTong University.
  • X. Xie, Computer Vision meets Medical Imaging, 18 September 2013, UK-China Workshop, Zhejiang University, P. R. China
  • X. Xie, Deformable Objects, 10 October 2012, CVSSP, University of Surrey.
  • X. Xie, Computer Vision for Biology and Medicine, 5 July 2012, Brain Interface Computing, Swansea.
  • X. Xie, Computer Vision for Medicine, 25 May 2012, ILS, Swansea University.
  • X. Xie, Medical Image Processing, 17 November 2011, Neuroimaging, Cardiff University.
  • X. Xie, Biomedical Image Analysis, 11 November 2010, School of Engineering, Swansea University.
  • X. Xie, Extracting Structure and Motion from Biomedical Images, 7 June 2010, School of Medicine, Swansea University.
  • X. Xie, Implicit Methods for Segmentation and Tracking, 18 November 2009, University of Southampton.
  • X. Xie, Cardiac SPECT Segmentation, 18 September 2009, School of Engineering, University of Swansea.
  • X. Xie, Angiogram Image Analysis, 18 June 2009, ABM University NHS Trust.
  • X. Xie, Object Segmentation and Detection, 16 April 2008, University of Aberystwyth.
  • X. Xie, Active Contouring ++, 4 December 2007, University of Wales Swansea.
  • X. Xie, Deformable Models, 22 November 2007, University of Bristol.
  • X. Xie, Active Contours, 15 November 2007, University of Cardiff.
  • X. Xie, MAC: Magnetostatic Active Contour Model, BMVA Symposium on Shape Representation, Analysis and Perception, 5 November 2007, University College London.
  • X. Xie, Novelty Detection in Colour Textures, BMVA Technical Meeting on Colour in Vision Analysis, 14 June 2006, London.
  • X. Xie, Colour Texture Analysis and Surface Inspection, British Council INYS Machine Vision workshop, 7 March 2005, Vilnius, Lithuania.
  • X. Xie, Defect Detection on Ceramic Tile Surfaces, March 2004, University of Bristol.
  • X. Xie, Region Aided Geometric Snake, March 2003, University of Bristol.