Publication Categorised Version

Selected|Full List|Abstract|Thesis|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, accepted, 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, Transactions on Intelligent Systems and Technology, accepted, 2022.
  • Jingjing Deng and Xianghua Xie, 3D Interactive Segmentation with Semi-Implicit Representation and Active Learning, IEEE Transactions on Image Processing, 2021.
  • 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

Categorised version; click here to see in chronological order


Patent

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


Journal:


Edited Book, Proceedings, & Special Issue:


Book Chapter:


Referred Conference:

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

[118] Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie, An Element-Wise Weights Aggregation Method for Federated Learning, ICDM Workshop, December 2023.

[117] [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.

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

[115] 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.

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

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

[112] 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.

[111] 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.

[110] 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 BHI-BSN, 2022.

[109] 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.

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

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

[106] 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.

[105] 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.

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

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

[102] 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.

[101] 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.

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

[99] 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.

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

[97] 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.

[96] 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.

[95] 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.

[94] 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.

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

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

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

[90] 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.

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

[88] 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.

[87] 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, August 2017.

[86] 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.

[85] 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.

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

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

[82] 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.

[81] 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.

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

[79] 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 (Accepted).

[78] 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 (Accepted).

[77] 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 (Accepted).

[76] 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.

[75] 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.

[74] 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.

[73] 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.

[72] 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.

[71] 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.

[70] 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.

[69] 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.

[68] 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.

[67] 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.

[66] 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.

[65] 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.

[64] 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.

[63] 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.

[62] 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.

[61] 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.

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

[59] 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.

[58] 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.

[57] 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.

[56] 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.

[55] 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.

[54] 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.

[53] 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.

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

[51] 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.

[50] 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.

[49] 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.

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

[47] 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.

[46] 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.

[45] 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.

[44] 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.

[43] 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.

[42] 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.

[41] 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.

[40] 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.

[39] 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.

[38] 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. Click here for the presentation.

[37] 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.

[36] 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.

[35] 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.

[34] 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.

[33] 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.

[32] 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.

[31] 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.

[30] 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.

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

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

[27] 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.

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

[25] 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.

[24] 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.

[23] 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.

[22] 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.

[21] 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.

[20] 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.

[19] 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.

[18] 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.

[17] 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.

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

[15] 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.

[14] 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.

[13] 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.

[12] 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.

[11] 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.

[10] 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.

[9] 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.

[8] 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.

[7] 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.

[6] 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.

[5] 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.

[4] 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.

[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.

[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:

  • 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.

Thesis:

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, 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, 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, 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.