2018
[212] S. Amiri, M. Mahjoub, I. Rekik,
"Dynamic Multiscale Tree Learning Using Ensemble Strong Classifiers for Multi-label Segmentation of Medical Images with Lesions", in VISAPP, 2018, pp. - in press. [bib]
[211] S. Amiri, M. Mahjoub, I. Rekik,
"Bayesian Network and Structured Random Forest Cooperative Deep Learning For Automatic Multi-label Brain Tumor Segmentation.", in ICAART, 2018, pp. - in press. [bib]
2017
[210] S. Manivannan, C. Cobb, S. Burgess, E. Trucco,
"Sub-Category Classifiers for Multiple-Instance Learning and its Application to Retinal Nerve Fiber Layer Visibility Classification", IEEE Transactions on Medical Imaging, 2017. [bib] [pdf]
[209] J. Zhang, J. Zhang, M. Coats, W. Li, F. A. Carey, S. J. McKenna,
"Multi-scale Analysis of the Surface Morphology of Colorectal Polyps from Optical Tomography", Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 5, no. 5, 2017, pp. 318-328. [bib] [doi]
[208] H. Wen, Y. Liu, I. Rekik, S. Wang, Z. Chen, J. Zhang, Y. Zhang, Y. Peng, H. He,
"Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children", Molecular Neurobiology, 2017, pp. 1-19. [bib]
[207] W. Chen, X. Chen, J. Zhang, K. Huang,
"Beyond triplet loss: a deep quadruplet network for person re-identification", in International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [bib] [pdf]
[206] W. Chen, X. Chen, J. Zhang, K. Huang,
"A Multi-task Deep Network for Person Re-identification", in Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017. [bib] [pdf]
[205] A. Veluchamy, L. Ballerini, V. Vitart, K. E. Schraut, M. Kirin, H. Campbell, P. K. Joshi, D. Relan, S. Harris, E. Brown, S. K. Vaidya, B. Dhillon, K. Zhou, E. R. Pearson, C. Hayward, O. Polasek, I. J. Deary, T. MacGillivray, J. F. Wilson, E. Trucco, C. N. Palmer, A. S. F. Doney,
"Novel locus influencing retinal venular tortuosity is also associated with risk of coronary artery disease", biorXiv (under review in Nature Communications), 2017. [bib] [doi]
[204] S. Stein, S. J. McKenna,
"Recognising complex activities with histograms of relative tracklets", Computer Vision and Image Understanding, vol. 154, 2017, pp. 82-93. [bib] [doi]
[203] M. Soussia, I. Rekik,
"High-order Connectomic Manifold Learning for Autistic Brain State Identification", in MICCAI-Connectomics in Neuroimaging, 2017, pp. 51-59. [bib]
[202] H. Shen, R. Wang, J. Zhang, S. J. McKenna,
"Multi-task Fully Convolutional Network for Brain Tumour Segmentation", in Medical Image Analysis and Understanding (MIUA), 2017. [bib] [pdf]
[201] H. Shen, R. Wang, J. Zhang, S. J. McKenna,
"Boundary-aware Fully Convolutional Network for Brain Tumor Segmentation", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017, pp. 433-441. [bib] [doi]
[200] H. Shen, J. Zhang,
"Fully Connected CRF With Data-Driven Prior For Multi-Class Brain Tumor Segmentation", in IEEE International Conference on Image Processing (ICIP), 2017. [bib] [pdf]
[199] H. Shen, J. Zhang, W. Zheng,
"EFficient Symmetry-driven Fully Convolutional Network For Multimodal Brain Tumor Segmentation", in IEEE International Conference on Image Processing (ICIP), 2017. [bib] [pdf]
[198] I. Rekik, G. Li, P. Yap, G. Chen, W. Lin, D. Shen,
"Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI", Neuroimage, vol. 152, 2017, pp. 411-424. [bib]
[197] I. Rekik, G. Li, W. Lin, D. Shen,
"Estimation of Brain Network Atlases using Diffusive-Shrinking Graphs with Application to Developing Brains", in Inf Process Med Imaging, 2017. [bib]
[196] C. Morris, I. Rekik,
"Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks", in MICCAI-Graphs in Biomedical Image Analysis, Springer, 2017, pp. 12-20. [bib]
[195] McNeil, A., Degano, G., Poole, I., Houston, G., Trucco, E.,
"Comparison of automatic vessel segmentation techniques for whole body magnetic resonance angiography with limited ground truth data", in Proc. 21st MIUA Medical Image Understanding and Analysis, 2017, pp. 144-155. [bib]
[194] S. McGrory, A. M. Taylor, J. Corley, A. Pattie, S. R. Cox, B. Dhillon, J. M. Wardlaw, F. N. Doubal, J. M. Starr, E. Trucco, T. J. MacGillivray, I. J. Deary,
"Retinal microvascular network geometry and cognitive abilities in community-dwelling older people: The Lothian Birth Cohort 1936 Study", British Journal of Ophthalmology, vol. 101, no. 7, 2017, pp. 993-998. [bib]
[193] S. Manivannan, W. Li, J. Zhang, E. Trucco, S. J. McKenna,
"Structure Prediction for Gland Segmentation with Hand-Crafted and Deep Convolutional Features", IEEE Transactions on Medical Imaging, vol. In Press, 2017. [bib] [doi]
[192] A. Lisowska, I. Rekik, A. D. N. Initiative, others,
"Pairing-based Ensemble Classifier Learning using Convolutional Brain Multiplexes and Multi-view Brain Networks for Early Dementia Diagnosis", in MICCAI-Connectomics in Neuroimaging, 2017, pp. 42-50. [bib]
[191] S. Lai, W. Zheng, J. Hu, J. Zhang,
"Global-Local Temporal Saliency Action Prediction", IEEE Transactions on Image Processing (TIP), 2017. [bib] [doi]
[190] J. Hu, W. Zheng, J. Lai, J. Zhang,
"Jointly Learning Heterogeneous Features for RGB-D Activity Recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 11, 2017, pp. 2186-2200. [bib] [doi]
[189] A. E. Fetit, S. Manivannan, S. McGrory, L. Ballerini, A. Doney, T. J. MacGillivray, I. J. Deary, J. M. Wardlaw, F. Doubal, G. J. McKay, S. J. McKenna, E. Trucco,
"Retinal biomarker discovery for dementia in an elderly diabetic population", in 4th MICCAI Workshop on Ophthalmic Medical Image Analysis (OMIA), 2017, pp. 150-158. [bib] [doi]
[188] Y. Chen, Z. Tan, A. P. Leung, J. Wan, J. Zhang,
"Multi-Region Ensemble Convolutional Neural Networks for High Accuracy Age Estimation", in British Machine Vision Conference (BMVC), 2017. [bib]
[187] J. Cameron, R. Megaw, A. Tatham, S. McGrory, T. MacGillivray, F. Doubal, J. Wardlaw, E. Trucco, S. Chandran, B. Dhillon,
"Lateral thinking - interocular symmetry and asymmetry in neurovascular patterning, in health and disease", Progress in Retinal and Eye Research, vol. 59, 2017, pp. 131-157. [bib]
[186] S. Bano, J. Zhang, S. J. McKenna,
"Finding Time Together: Detection and Classification of Focused Interaction in Egocentric Video", in Proceedings of 2nd International Workshop on Egocentric Perception, Interation and Computing (EPIC@ICCV), 2017. [bib]
[185] K. Bahrami, I. Rekik, F. Shi, D. Shen,
"Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks", in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017, pp. 764-772. [bib]
[184] Ballerini, S. McGrory, R. Lovreglio, M. C. V. Hernández, E. Pellegrini, T. MacGillivray, E. Trucco, S. M. Maniega, R. Henderson, A. Taylor, M. E. Bastin, I. J. Deary, J. M. Wardlaw,
"Quantitative Measurements of Enlarged Perivascular Spaces in the Brain Are Associated with Renal Microvascular Parameters", in Proc. 21st MIUA Medical Image Understanding and Analysis, 2017. [bib]
2016
[183] R. Annunziata, A. Kheirkhah, S. Aggarwal, P. Hamrah, E. Trucco,
"A Fully Automated Tortuosity Quantification System with Application to Corneal Nerve Fibres In Confocal Microscopy Images", Medical Image Analysis, April 2016. [bib] [pdf] [doi]
[182] S. Manivannan, W. Li, S. Akbar, R. Wang, J. Zhang, S. J. McKenna,
"An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens", Pattern Recognition, vol. 51, March 2016, pp. 12-26. [bib] [pdf] [doi]
[181] R. Annunziata, A. Kheirkhah, S. Aggarwal, B. M. Cavalcanti, P. Hamrah, E. Trucco,
"Two-Dimensional Plane for Multi-Scale Quantification of Corneal Subbasal Nerve Tortuosity", Investigative Ophthalmology & Visual Science, vol. 57, no. 3, Mar 2016, pp. 1132. [bib] [pdf] [doi]
[180] S. Manivannan, E. Trucco,
"Extended Multi-resolution Local Patterns - A Discriminative Feature Learning Approach for Colonoscopy Image Classification", in Computer-Assisted and Robotic Endoscopy (CARE), MICCAI, 2016. [bib] [pdf]
[179] S. Manivannan, C. Cobb, S. Burgess, E. Trucco,
"Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification", in Medical Image Computing and Computer-Assisted Intervention, MICCAI (early acceptance), 2016. [bib] [pdf]
[178] J. Wigdahl, R. Annunziata, L. Hughes, S. Borooah, A. Ruggeri, E. Trucco,
"New public retinal image database for tortuosity estimation", in Proc ARVO 2016, Investigative Ophthalmology and Visual Science. [bib]
[177] R. Annunziata, E. Trucco,
"Accelerating Convolutional Sparse Coding for Curvilinear Structures Segmentation by Refining SCIRD-TS Filter Banks", IEEE Transactions on Medical Imaging, vol. PP, no. 99, 2016, pp. 1-1. [bib] [pdf] [doi]
[176] K. Skerl, S. Vinnicombe, S. J. McKenna, K. Thomson, A. Evans,
"First step for computer assisted evaluation of qualitative supersonic shear wave elastography characteristics in breast tissue", in International Symposium on Biomedical Imaging (ISBI), 2016. [bib]
[175] G. Robertson, T. Peto, M. Williams, B. Dhillon, G. Houston, D. Newby, E. J. van Beek, E. Trucco, A. Fleming, J. Van Hemert, T. J. MacGillivray,
"Ultra-Widefield Ophthalmic Imaging for Biomarker Discovery in Hypertension", in Proc ARVO (Assoc for Research in Vision and Ophthalmology) Annual Meeting, 2016. [bib]
[174] D. Relan, L. Ballerini, E. Trucco, T. MacGillivray,
"Retinal Vessel Classification Based on Maximization of Squared-Loss Mutual Information", in Machine Intelligence and Signal Processing, R. Singh et al., Eds., Springer India, 2016, pp. 77-84. [bib] [pdf] [doi]
[173] D. Mitry, K. Zutis, B. Dhillon, T. Peto, S. Hayat, K. Khaw, J. E. Morgan, W. Moncur, E. Trucco, P. J. Foster, U. B. Eye, V. Consortium,
"The accuracy and reliability of crowdsource annotations of digital retinal images", Translational Vision Science and Technology, vol. 5, no. 5, 2016. [bib]
[172] S. Manivannan, R. Wang, E. Trucco,
"Hierarchical Mix-Pooling and its Applications to BioMedical Image Classification", in International Symposium on Biomedical Imaging (ISBI), 2016. [bib] [pdf]
[171] S. Manivannan, W. Li, S. Akbar, J. Zhang, E. Trucco, S. J. McKenna,
"Local structure prediction for gland segmentation", in International Symposium on Biomedical Imaging (ISBI), 2016. [bib] [pdf]
[170] W. Li, S. Manivannan, J. Zhang, E. Trucco, S. J. McKenna,
"Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks", in International Symposium on Biomedical Imaging (ISBI), 2016. [bib] [pdf]
[169] V. Franco-Cardenas, S. Shah, G. Heilweil, K. Zutis, E. Trucco, J. Hubschman,
"Assessment of Ischemic Index in Retinal Vascular Diseases Using Ultra Wide Field Fluorescein Angiography: Single Versus Summarized Image", Seminars In Ophthalmology, 2016. [bib] [doi]
[168] J. R. Cameron, L. Ballerini, C. Langan, C. Warren, N. Denholm, K. Smart, T. J. MacGillivray,
"Modulation of retinal image vasculature analysis to extend utility and provide secondary value from optical coherence tomography imaging", Journal of Medical Imaging, vol. 3, no. 2, 2016, pp. 020501-020501. [bib] [pdf] [doi]
[167] L. Ballerini, L. Bonaldi, E. Menti, A. Ruggeri, E. Trucco,
"Automatic Generation of Synthetic Retinal Fundus Images: Vascular Network", in Proc. MICCAI Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI 2016). [bib]
[166] L. Ballerini, L. Bonaldi, E. Menti, A. Ruggeri, E. Trucco,
"Automatic Generation of Synthetic Retinal Fundus Images: Vascular Network", in Proc. 20th MIUA Medical Image Understanding and Analysis, 2016. [bib]
[165] T. Amaral, T. Plotz, S. J. McKenna, I. Kyriazakis,
"Weighted atlas auto-context with application to multiple organ segmentation", in IEEE Winter Conference on Applications of Computer Vision (WACV), 2016. [bib] [pdf]
[164] T. Amaral, I. Kyriazakis, S. J. McKenna, T. Plotz,
"Segmentation of organs in pig offal using auto-context", in International Symposium on Biomedical Imaging (ISBI), 2016. [bib]
2015
[163] W. Li, M. Coats, J. Zhang, S. J. McKenna,
"Discriminating dysplasia: optical tomographic texture analysis of colorectal polyps", Medical Image Analysis, vol. 26, no. 1, December 2015. [bib] [pdf] [doi]
[162] X. Chang, W. Zheng, J. Zhang,
"Learning Person-Person Interaction in Collective Activity Recognition", IEEE Transactions on Image Processing, vol. 24, no. 6, June 2015. [bib] [pdf]
[161] R. Wang, M. Pakleppa, E. Trucco,
"Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal", IEEE Transactions on Image Processing, vol. 24, no. 5, May 2015. [bib] [pdf]
[160] G. Puerto-Souza, S. Manivannan, M. Trujillo, J. Hoyos, E. Trucco, G. Mariottini,
"Enhancing normal-abnormal classification accuracy in colonoscopy videos via temporal consistency", in Computer-Assisted and Robotic Endoscopy (CARE), MICCAI, 2015. [bib] [pdf]
[159] X. Wang, W. Zheng, X. Li, J. Zhang,
"Cross-scenario Transfer Person Re-identification", IEEE Transactions on Circuits and Systems for Video Technology, 2015. [bib] [doi]
[158] R. Annunziata, A. Kheirkhah, P. Hamrah, E. Trucco,
"Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures", in Proceedings of Medical Image Computing and Computer Assisted Interventions (MICCAI 2015), Munich, Germany, pp. 588-595. [bib] [pdf]
[157] R. Annunziata, A. Kheirkhah, P. Hamrah, E. Trucco,
"Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters", in Proceedings of Medical Image Computing and Computer Assisted Interventions (MICCAI 2015), Munich, Germany, pp. 596-603. [bib] [pdf]
[156] R. Annunziata, A. Kheirkhah, P. Hamrah, E. Trucco,
"Combining Efficient Hand-Crafted Features with Learned Filters for Fast and Accurate Corneal Nerve Fibre Centreline Detection", in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBS) 2015, Milan, Italy. [bib]
[155] R. Annunziata, A. Garzelli, L. Ballerini, A. Mecocci, E. Trucco,
"Leveraging Multiscale Hessian-based Enhancement with a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation", Biomedical and Health Informatics, IEEE Journal of, vol. PP, no. 99, 2015, pp. 1-1. [bib] [pdf] [doi]
[154] E. Pellegrini, G. Robertson, L. Ballerini, T. Pearson, T. MacGillivray, E. Trucco,
"Morphometric Retinal Measurements with Ultra-Wide-Field-of-View Imaging", in 4th International Conference on Computational & Mathematical Biomedical Engineering (CMBE2015). [bib] [pdf]
[153] E. Trucco, A. Giachetti, L. Ballerini, D. Relan, A. Cavinato, T. MacGillivray,
"Morphometric Measurements of the Retinal Vasculature in Fundus Images with Vampire", in Biomedical Image Understanding, Methods and Applications, John Wiley & Sons, 2015, pp. 91-111. [bib] [pdf]
[152] D. Sumukadas, M. McMurdo, I. Pieretti, L. Ballerini, R. Price, P. Wilson, A. Doney, G. Leese, E. Trucco,
"Association between retinal vasculature and muscle mass in older people", Archives of Gerontology and Geriatrics, vol. 61, no. 3, 2015, pp. 425 - 428. [bib] [pdf] [doi]
[151] S. Manivannan, E. Trucco,
"Learning Discriminative Local Features from Image-Level Labelled Data for Colonoscopy Image Classification", in IEEE International Symposium on Biomedical Imaging (ISBI), New York, USA, 2015. [bib] [pdf]
[150] T. J. MacGillivray, J. R. Cameron, Q. Zhang, A. El-Medany, C. Mulholland, Z. Sheng, B. Dhillon, F. N. Doubal, P. J. Foster, E. Trucco, C. Sudlow,
"Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature", PLoS ONE, vol. 5, no. 10, 2015, pp. e0127914. [bib] [pdf] [doi]
[149] Y. Liu, H. Xiao, Z. Zhang, W. Xu, M. Zhang, J. Zhang,
"Data Separation of L1-minimization for Real-time Motion Detection", in British Machine Vision Conference (BMVC), 2015. [bib] [pdf]
[148] W. Li, J. Zhang, S. J. McKenna,
"Multiple instance cancer detection by boosting regularised trees", in MICCAI, 2015. [bib]
[147] J. LI, W. Xu, J. Zhang, M. Zhang, Z. Wang, X. Li,
"Efficient Video Stitching Based on Fast Structure Deformation", IEEE Trans. on Cybernetics (In press), 2015. [bib] [pdf]
[146] J. F. Hu, W. Zheng, J. Lai, J. Zhang,
"Jointly Learning Heterogeneous Features for RGB-D Activity Recognition", in Computer Vision and Pattern Recognition (CVPR) (In press), 2015. [bib]
[145] Y. Belotti, M. Conneely, S. Palmer, T. Huang, P. Campbell, S. J. McKenna, G. Nabi, D. McGloin,
"Hydrodynamic stretching for prostate cancer detection", in Proc. SPIE 9518, Bio-MEMS and Medical Microdevices II, 95180H, 2015. [bib]
[144] S. Akbar, L. Jordan, C. Purdie, A. M. Thompson, S. J. McKenna,
"Comparing Computer-Generated and Pathologist-Generated Tumour Segmentations for Immunohistochemical Scoring of Breast Tissue Microarrays", British Journal of Cancer, 2015. [bib]
[143] S. Akbar, L. Jordan, A. M. Thompson, S. J. McKenna,
"Tumor Localization in Tissue Microarrays Using Rotation Invariant Superpixel Pyramids", in IEEE International Symposium on Biomedical Imaging (ISBI), New York, US (In Press), 2015. [bib] [pdf]
2014
[142] E. Pellegrini, G. Robertson, E. Trucco, T. J. MacGillivray, C. Lupascu, J. v. Hemert, M. C. Williams, D. E. Newby, E. J. v. Beek, G. Houston,
"Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy", Biomed. Opt. Express, vol. 5, no. 12, Dec 2014, pp. 4329-4337. [bib] [pdf] [doi]
[141] S. Manivannan, R. Wang, M. P. Trujillo, J. A. Hoyos, E. Trucco,
"Video-specifc SVMs for colonoscopy image classifcation", in Computer-Assisted and Robotic Endoscopy (CARE), MICCAI, 2014. [bib] [pdf]
[140] S. Manivannan, R. Wang, E. Trucco,
"Inter-cluster features for medical image classification", in Medical Image Computing and Computer-Assisted Intervention, MICCAI, 2014. [bib] [pdf]
[139] S. Manivannan, W. Li, S. Akbar, R. Wang, J. Zhang, S. J. McKenna,
"HEp-2 Specimen Classification using Multi-resolution Local Patterns and SVM", in I3A 1st workshop on Pattern Recognition Techniques for Indirect Immunoflurescence Images, ICPR (invited paper), 2014. [bib] [pdf]
[138] S. Manivannan, W. Li, S. Akbar, R. Wang, J. Zhang, S. J. McKenna,
"HEp-2 Cell Classification using Multi-resolution Local Patterns and Ensemble SVMs", in I3A 1st workshop on Pattern Recognition Techniques for Indirect Immunoflurescence Images, ICPR (invited paper), 2014. [bib] [pdf]
[137] J. Zhang, J. Zhang, M. Coats, F. Carey, S. J. McKenna,
"Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction", in Medical Image Understanding and Analysis (MIUA), 2014, pp. 67-72. [bib] [pdf]
[136] A. Lisowska, R. Annunziata, E. Trucco, D. Karl, G. K. Loh,
"An Experimental Assessment of Five Indices of Retinal Vessel Tortuosity with the RET-TORT Public Dataset", in 36th Annual International Conference of the IEEE EMBS Engineering in Medicine and Biology Society (EMBC), Chicago, USA, 2014, pp. 5414-5417. [bib] [pdf]
[135] R. Annunziata, A. Kheirkhah, S. Aggarwal, B. Cavalcanti, P. Hamrah, E. Trucco,
"Tortuosity classification of corneal nerves images using a multiple-scale-multiple-window approach", in Proceedings of the Ophthalmic Medical Image Analysis (OMIA) First International Workshop, MICCAI 2014, Boston, USA, pp. 113-120. [bib] [pdf]
[134] C. M. Travieso, J. Zhang, P. Miller, J. B. Alonso,
"Using a Discrete Hidden Markov Model Kernel for Lip-based Biometric Identification", Image and Vision Computing, vol. 32, 2014, pp. 1080-1089. [bib] [pdf] [doi]
[133] H. Shen, J. Zhang, H. Zhang,
"Human Action Recognition by Random Features and Hand-crafted features: A Comparative Study", in ECCV 2014 VECTaR Workshop. [bib]
[132] D. Relan, L. Ballerini, E. Trucco, T. MacGillivray,
"Retina Vessel Classification based on Maximization of Squared-Loss Mutual Information", in IEEE SPS-APSIPA Winter School and Workshop on Machine Intelligence and Signal Processing, India, 2014, pp. -. [bib] [pdf]
[131] D. Relan, T. MacGillivray, L. Ballerini, E. Trucco,
"Automatic Retinal vessel classification using a Least Square-Support Vector Machine in VAMPIRE", in 36th Annual International Conference of the IEEE EMBS Engineering in Medicine and Biology Society (EMBC), Chicago, USA, 2014, pp. 142-145. [bib] [pdf]
[130] S. J. McKenna, J. Hoey, E. Trucco,
"Objects, Actions, Places", International Journal of Computer Vision, vol. 106, no. 3, 2014, pp. 235-236. [bib] [pdf] [doi]
[129] T. J. MacGillivray, E. Trucco, J. R. Cameron, B. Dhillon, J. G. Houston, E. J. R. van Beek,
"Retinal imaging as a source of biomarkers for diagnosis, characterization and prognosis of chronic illness or long-term conditions", The British Journal of Radiology, vol. 87, no. 1040, 2014, pp. 20130832. [bib] [pdf] [doi]
[128] T. Huang, C. Hacker, J. Lucocq, S. J. McKenna,
"Detecting and Segmenting Nanodiscs in Immuno-Electron Micrographs", in Medical Image Understanding and Analysis (MIUA), 2014, pp. 53-58. [bib] [pdf]
[127] J. Han, S. J. McKenna,
"Lattice Estimation from Images of Patterns that Exhibit Translational Symmetry", Image and Vision Computing, vol. 32, 2014, pp. 64-73. [bib]
[126] J. Han, S. J. McKenna,
"Query-Dependent Metric Learning for Adaptive, Content-based Image Browsing and Retrieval", IET Image Processing (In Press), 2014. [bib]
[125] A. Giachetti, L. Ballerini, E. Trucco,
"Accurate and reliable segmentation of the optic disc in digital fundus images", Journal of Medical Imaging, vol. 1, no. 2, 2014, pp. 024001. [bib] [pdf] [doi]
[124] N. Fordyce, C. Hacker, S. J. McKenna, J. Lucocq,
"Finding Golgi Stacks in Electron Micrographs", in Medical Image Understanding and Analysis (MIUA), 2014, pp. 59-64. [bib] [pdf]
[123] S. Fiorini, M. De Biasi, L. Ballerini, E. Trucco, A. Ruggeri,
"Automatic Generation of Synthetic Retinal Fundus Images", in Smart Tools & Apps for Graphics (STAG), Eurographics Digital Library, 2014, pp. 41-44. [bib] [pdf] [doi]
[122] S. Fiorini, L. Ballerini, E. Trucco, A. Ruggeri,
"Automatic Generation of Synthetic Retinal Fundus Images", in Medical Image Understanding and Analysis (MIUA), 2014, pp. 7-12. [bib] [pdf]
2013
[121] S. Manivannan, R. Wang, E. Trucco,
"Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification", in 2013 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 184-189. [bib] [pdf] [doi]
[120] S. Stein, S. J. McKenna,
"User-adaptive Models for Recognizing Food Preparation Activities", in Proceedings of the 21st ACM International Conference on Multimedia, 5th International Workshop on Multimedia for Cooking & Eating Activities (CEA'13), Barcelona, Spain, ACM. [bib] [pdf]
[119] S. Stein, S. J. McKenna,
"Combining Embedded Accelerometers with Computer Vision for Recognizing Food Preparation Activities", in Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), Zurich, Switzerland (In Press). [bib] [pdf]
[118] K. Zutis, E. Trucco, J. Hubschman, D. Reed, S. Shah, J. v. Hemert,
"Towards Automatic Detection of Abnormal Retinal Capillaries in Ultra-Widefield-of-View Retinal Angiographic Exams", in 35th Annual International Conference of the IEEE EMBS Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 2013, pp. 7372-7375. [bib] [pdf]
[117] W. Xu, J. Zhang, H. Xu, M. Zhang,
"Height Estimation of Urban Buildings using Angle Consistency of Borderlines of Roofs", in IEEE International Conference on Multimedia and Expo (ICME) 2013. [bib]
[116] W. Xu, W. Chen, J. Zhang, M. Zhang,
"Angle consistency for registration between catadioptric omni-images and orthorectified aerial images", IET Image processing (In Press), 2013. [bib]
[115] Y. Wang, J. Guangrong, P. Lin, E. Trucco,
"Retinal Vessel Segmentation Using Multiwavelet Kernels and Multiscale Hierarchical Decomposition", Pattern Recognition, vol. 46, 2013, pp. 2117-2133. [bib] [pdf]
[114] E. Trucco, A. Ruggeri, T. Karnowski, L. Giancarlo, E. Chaum, J. P. Hubschman, B. Al-Diri, C. Y. Cheung, D. Wong, M. Abramoff, G. Lim, D. Kumar, P. Burlina, N. M. Bressler, H. Jelinek, F. Maiaudeau, G. Quellec, T. MacGillivray, B. Dhillon,
"Validating Retinal Fundus Image Analysis Algorithms: Issues and a Proposal", Investigative Ophthalmology & Visual Science, 2013, pp. 3546-3559. [bib] [pdf]
[113] E. Trucco, A. Ruggeri,
"Towards A Multi-Site International Public Dataset For The Validation Of Retinal Image Analysis Software", in 35th Annual International Conference of the IEEE EMBS Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 2013, pp. 7152-7155. [bib] [pdf]
[112] E. Trucco, L. Ballerini, D. Relan, A. Giachetti, T. MacGillivray, K. Zutis, C. Lupascu, D. Tegolo, E. Pellegrini, G. Robertson, P. Wilson, A. Doney, B. Dhillon,
"Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature", in 4th IEEE Biosignals and Biorobotics Conference (ISSNIP/BRC), 2013. [bib] [pdf]
[111] D. Stewart, A. Pass, J. Zhang,
"Gender classification via lips: static and dynamic features", IET Biometrics, vol. 2, 2013. [bib]
[110] R. Wang, E. Trucco,
"Single-patch low-rank prior for non-pointwise impulse noise removal", in International Conference on Computer Vision 2013 (ICCV'2013). [bib] [pdf]
[109] G. Robertson, E. Pellegrini, C. Gray, E. Trucco, T. MacGillivray,
"Investigating Post-processing of Scanning Laser Ophthalmoscope Images for Unsupervised Retinal Blood Vessel Detection", in 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Porto, Portugal, 2013, pp. 441-444. [bib] [pdf]
[108] D. Relan, T. MacGillivray, L. Ballerini, E. Trucco,
"Retinal vessel classification: sorting arteries and veins", in 35th Annual International Conference of the IEEE EMBS Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, 2013, pp. 7396-7399. [bib] [pdf]
[107] S. J. McKenna, T. Amaral, S. Akbar, L. Jordan, A. Thompson,
"Immunohistochemical Analysis of Breast Tissue Microarray Images using Contextual Classifiers", Journal of Pathology Informatics, 2013. [bib] [pdf]
[106] S. Manivannan, R. Wang, E. Trucco, A. Hood,
"Automatic normal-abnormal video frame classification for colonoscopy", in International Symposium on Biomedical Imaging (ISBI), San Francisco, 2013. [bib] [pdf]
[105] C. A. Lupascu, D. Tegolo, E. Trucco,
"Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model", Medical Image Analysis, vol. 17, no. 8, 2013, pp. 1164-1180. [bib] [pdf]
[104] W. Li, M. Coats, J. Zhang, S. J. McKenna,
"Comparative Analysis of Feature Extraction Methods for Colorectal Polyp Images in Optical Projection Tomography", in Medical Image Understanding and Analysis (MIUA), 2013, pp. 67-72. [bib] [pdf]
[103] W. Li, J. Zhang, W. Zheng, M. Coats, F. A. Carey, S. J. McKenna,
"Learning from Partially Annotated OPT Images by Contextual Relevance Ranking", in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan (In Press), 2013. [bib] [pdf]
[102] W. Li, J. Zhang, S. J. McKenna, M. Coats, F. A. Carey,
"Classification of colorectal polyp regions in optical projection tomography", in International Symposium on Biomedical Imaging (ISBI), San Francisco, 2013. [bib] [pdf]
[101] A. Giachetti, L. Ballerini, E. Trucco, P. J. Wilson,
"The use of radial symmetry to localize retinal landmarks", Computerized Medical Imaging and Graphics, vol. 37, 2013, pp. 369-376. [bib] [pdf]
[100] K. S. Chin, E. Trucco, L. Tan, P. J. Wilson,
"Automatic fovea location in retinal images using anatomical priors and vessel density", Pattern Recognition Letters, vol. 34, 2013, pp. 1152-1158. [bib] [pdf]
[99] A. Cavinato, L. Ballerini, E. Trucco, E. Grisan,
"Spline-based refinement of vessel contours in fundus retinal images for width estimation", in 10th IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, 2013, pp. 860-863. [bib] [pdf]
[98] T. Amaral, S. J. McKenna, K. Robertson, A. Thompson,
"Classification and Immunohistochemical Scoring of Breast Tissue Microarray Spots", IEEE Transactions on Biomedical Engineering, vol. 60, no. 10, 2013, pp. 2806-2814. [bib]
[97] S. Akbar, S. J. McKenna, T. Amaral, L. Jordan, A. Thompson,
"Spin-context Segmentation of Breast Tissue Microarray Images", Annals of the BMVA, 2013. [bib] [pdf]
2012
[96] S. Stein, S. J. McKenna,
"Towards recognizing food preparation activities in situational support systems", in Digital Futures 2012 (3rd Annual Digital Economy All Hands Conference), Aberdeen. [bib] [pdf]
[95] S. Stein, S. J. McKenna,
"Accelerometer Localization in the View of A Stationary Camera", in Proceedings of the Ninth Conference on Computer and Robot Vision (CRV'12), Toronto, Ontario, Canada, IEEE, pp. 109 - 116. [bib] [pdf] [doi]
[94] A. Perez-Rovira, E. Trucco, J. Weir-Mccall, G. Houston,
"GroBa: Growing balloons for calibre measurement of stenotic lumens", in 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS'12), Rome, Italy. [bib] [pdf]
[93] A. Perez-Rovira, R. Cabido, E. Trucco, S. McKenna, J. Hubschman,
"RERBEE: Robust Efficient Registration via Bifurcations and Elongated Elements applied to retinal fluorescein angiogram sequences", IEEE Transactions on Medical Imaging, vol. 31, 2012, pp. 140-150. [bib] [pdf]
[92] A. Zamperini, A. Giachetti, E. Trucco, K. S. Chin,
"Effective features for artery-vein classification in digital fundus images", in 25th International Symposium on Computer-Based Medical Systems (CBMS), 2012, pp. 1-6. [bib] [pdf]
[91] S. J. McKenna, D. Magee, N. Rajpoot,
"Editorial for Special Issue on Microscopy Image Analysis for Biomedical Applications", Machine Vision and Applications, vol. 23, no. 4, 2012. [bib] [pdf]
[90] V. Franco-Cardenas, C. J. Gee, D. Appap, A. Ramirez, A. Perez-Rovira, K. Zutis, S. D. Schwartz, E. Trucco, J. P. Hubschman,
"Assessment of Retinal Non-Perfusion in Vascular Retinal Diseases using Single versus Summarized Ultra Wide-Field Fluorescein Angiography Images", in Proceedings ARVO (Assocation for Research in Vision and Ophthalmology), Fort Lauderdale (USA), 2012. [bib]
[89] S. Akbar, T. Amaral, S. J. McKenna, A. Thompson, L. Jordan,
"Tumour segmentation in breast tissue microarray images using spin-context", in Medical Image Understanding and Analysis, 2012. [bib] [pdf]
2011
[88] A. Giachetti, K. Chin, E. Trucco, C. Cobb, P. Wilson,
"Multiresolution localization and segmentation of the optical disc in fundus images using inpainted background and vessel information", in 18th IEEE International Conference on Image Processing (ICIP), 2011, pp. 2145 -2148. [bib] [pdf]
[87] A. Perez-Rovira, T. MacGillivray, E. Trucco, K. Chin, K. Zutis, C. Lupascu, D. Tegolo, A. Giachetti, P. Wilson, A. Doney, B. Dhillon,
"VAMPIRE: Vessel Assessment and Measurement Platform for Images of the REtina", in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2011, pp. 3391-3394. [bib] [pdf]
[86] A. Perez-Rovira, K. Zutis, J. Hubschman, E. Trucco,
"Improving vessel segmentation in ultra-wide field-of-view retinal fluorescein angiograms", in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2011, pp. 2614-2617. [bib] [pdf]
[85] N. Wuyts, A. G. Bengough, T. J. Robertsand, C. Du, M. F. Bransby, S. J. McKenna, T. A. Valentine,
"Automated motion estimation of root responses to sucrose in two Arabidopsis thaliana genotypes using confocal microscopy", Planta, Springer, vol. 234, 2011, pp. 769-784. [bib] [pdf] [doi]
[84] R. Wang, H. Pokjariya, S. J. McKenna, J. Lucocq,
"Recognition of Immunogold Markers in Electron Micrographs", Journal of Structural Biology, vol. 176, 2011, pp. 151-158. [bib] [pdf] [doi]
[83] S. Tiew, A. Perez-Rovira, T. J. MacGillivray, S. Mahmood, P. Bishop, T. M. Aslam,
"Experience In Using The Vampire Retinal Analysis Tool To Assess Tortuosity In Patients Undergoing Bevacizumab (Avastin�) Treatment For Wet Age-related Macular Degeneration (AMD)", in Association for Research in Vision and Ophthalmology (ARVO), 2011. [bib]
[82] S. Stein, G. Fink,
"A new method for combined face detection and identification using interest point descriptors", in IEEE International Conference on Automatic Face & Gesture Recognition (FGR'11), IEEE, pp. 519-524. [bib] [pdf] [doi]
[81] J. Hoey, S. McKenna, E. Trucco (Editors), Proceedings of British Machine Vision Conference, BMVA, 2011. [bib]
[80] K. S. Chin, E. Trucco,
"Fovea detection using anatomical priors and vessel density", in Proc. Ophthalmic Workshop, Univ. of Liverpool, 2011. [bib]
2010
[79] C. A. Lupascu, D. Tegolo, E. Trucco,
"FABC: Retinal Vessel Segmentation Using AdaBoost", IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 5, sep 2010, pp. 1267-1274. [bib] [pdf]
[78] A. Perez-Rovira, E. Trucco, P. Wilson, J. Liu,
"Deformable registration of retinal fluorescein angiogram sequences using vasculature structures", in IEEE Engineering in Medicine and Biology Conference, 2010, pp. 4383-4386. [bib] [pdf] [doi]
[77] R. Wang, S. J. McKenna, J. Han, A. A. Ward,
"Visualizing image collections using high-entropy layout distributions", IEEE Transactions on Multimedia, vol. 12, 2010, pp. 803-813. [bib] [pdf] [doi]
[76] R. Wang, S. J. McKenna,
"Gaussian process learning from order relationships using expectation propagation", in International Conference on Pattern Recognition (ICPR), 2010. [bib] [pdf] [doi]
[75] E. Trucco, H. Azegrouz, B. Dhillon,
"Modeling the tortuosity of retinal vessels: does calibre play a role?", IEEE Transactions on Biomedical Engineering, vol. 57, 2010, pp. 2239-2247. [bib] [pdf] [doi]
[74] T. Roberts, S. J. McKenna, C. Du, N. Wuyts, T. Valentine, A. G. Bengough,
"Estimating the motion of plant root cells from in vivo confocal laser scanning microscopy images", Journal of Machine Vision and Applications, vol. 21, 2010, pp. 921-939. [bib] [pdf] [doi]
[73] A. Perez-Rovira, E. Trucco,
"Contextual optic disc location in retinal fundus images", Journal of Modern Optics, vol. 57, no. 2, 2010, pp. 136-144. [bib] [pdf]
[72] B. H. Lee, J. Liu, Z. Tan, E. Heng, J. Cheng, N. M. Tan, D. Wong, J. Mehta, E. Trucco,
"Corneal graft detection for Descemet's stripping automated endothelial keratoplasty using optical coherence tomography", in International Conference on Engineering in Medicine and Biology (EMBC), 2010. [bib] [pdf]
[71] V. John, E. Trucco,
"Multiple View Human Articulated Tracking using Charting and Particle Swarm Optimisation", in Proc. ACM Multimedia International workshop on 3D Video Processing, 3DVP 2010. [bib]
[70] V. John, E. Trucco, S. J. McKenna,
"Markerless Human Motion Capture using Charting and Manifold Constrained Particle Swarm Optimisation", in Proc. BMVC UK postgrad. workshop, 2010, pp. 4.1-11. [bib]
[69] V. John, S. Ivekovic, E. Trucco,
"Markerless Human Motion Capture Using Hierarchical Particle Swarm Optimisation", in Computer Vision, Imaging and Computer Graphics. Theory and Applications, 2010, pp. 343-356. [bib] [pdf]
[68] V. John, E. Trucco, S. Ivekovic,
"Markerless human articulated tracking using hierarchical particle swarm optimisation", Image Vision Computing., vol. 28, no. 11, 2010, pp. 1530-1547. [bib] [doi]
[67] W. Jia, S. J. McKenna, A. A. Ward, K. J. Edwards,
"Classifying textile designs using region graphs", in British Machine Vision Conference (BMVC), 2010. [bib]
[66] W. Jia, S. J. McKenna,
"Classifying textile designs using bags of shapes", in International Conference on Pattern Recognition (ICPR), 2010. [bib]
[65] S. Ivekovic, V. John, E. Trucco,
"Markerless Multi-view Articulated Pose Estimation Using Adaptive Hierarchical Particle Swarm Optimisation", in EvoApplications (1), 2010, pp. 241-250. [bib]
[64] J. Hoey, P. Poupart, A. von Bertoldi, T. Craig, C. Boutilier, A. Mihailidis,
"Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process", Computer Vision and Image Understanding, vol. 114, no. 5, 2010, pp. 503-519. [bib] [doi]
[63] F. Bellavia, D. Tegolo, E. Trucco,
"Improving SIFT-based descriptors stability to rotations", in International Conference on Pattern Recognition (ICPR), 2010. [bib] [pdf]
2009
[62] K. Zutis, J. Hoey,
"Who's counting?: Real-time Blackjack monitoring for card counting detection", in International Conference on Vision Systems (ICVS), 2009. [bib] [pdf]
[61] X. Zhang, N. Bakis, T. C. Lukins, Y. M. Ibrahim, S. Wu, M. Kagioglou, G. Aouad, A. P. Kaka, E. Trucco,
"Automating progress measurement of construction projects", Automation in Construction, vol. 18, no. 3, 2009, pp. 294-301. [bib]
[60] A. A. Ward, A. M. Ward, J. Stephenson, S. J. McKenna, I. W. Ricketts,
"Art and Orphan Works: Ownership and Discovery", in Object and Identity in a Digital Age, Computers and the History of Art (CHArt) Conference, 2009. [bib]
[59] R. Wang, S. J. McKenna, J. Han,
"High-entropy layouts for content-based browsing and retrieval", in ACM International Conference on Image and Video Retrieval (CIVR), 2009. [bib]
[58] M. Seise, S. J. McKenna, I. W. Ricketts, C. A. Wigderowitz,
"Parts-based segmentation with overlapping part models using Markov chain Monte Carlo", Image and Vision Computing, vol. 27, no. 5, 2009, pp. 504-513. [bib] [doi]
[57] C. Peters, S. Wachsmuth, J. Hoey,
"Learning to recognise behaviours of persons with dementia using multiple cues in an HMM-based approach", in ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), 2009. [bib] [pdf]
[56] P. Olivier, A. Monk, G. Xu, J. Hoey,
"Ambient Kitchen: designing situated services using a high fidelity prototyping environment", in ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), 2009. [bib] [pdf]
[55] C. A. Lupascu, D. Tegolo, E. Trucco,
"A Comparative Study on Feature Selection for Retinal Vessel Segmentation using FeatAdaBoostClass", in International Conference on Computer Analysis of Images and Patterns (CAIP), 2009, pp. 655-662. [bib] [pdf]
[54] V. John, S. Ivekovic, E. Trucco,
"Articulated Human Motion Tracking with HPSO", in VISSAPP (1), 2009, pp. 531-538. [bib]
[53] W. Jia, S. J. McKenna, A. A. Ward,
"Extracting printed designs and woven patterns from textile images", in International Conference on Computer Vision Theory and Applications (VISAPP), 2009, pp. 201-208. [bib] [pdf]
[52] J. Snoek, J. Hoey, L. Stewart, R. S. Zemel, A. Mihailidis,
"Automated detection of unusual events on stairs", Image and Vision Computing, vol. 27, no. 1-2, 2009, pp. 153-166. [bib] [doi]
[51] Y. M. Ibrahim, T. C. Lukins, X. Zhang, E. Trucco, A. P. Kaka,
"Towards automatic assessment of workpackage components in construction projects using computer vision", Journal of Advanced Engineering Informatics, vol. 23, 2009, pp. 93-103. [bib]
[50] J. Hoey, B. Richards, S. Blunsden, J. Burns, T. Bartindale, D. Jackson, P. Olivier, J. N. Boger, A. Mihailidis,
"ePAD: Engaging Platform for Art Development", in IJCAI Workshop on Intelligent Systems for Assisted Cognition, 2009. [bib] [pdf]
[49] J. Han, S. J. McKenna,
"Classifying and comparing regular textures for retrieval using texel geometry", in International Conference on Computer Vision Theory and Applications (VISAPP), 2009, pp. 347-354. [bib] [pdf]
[48] J. Han, S. J. McKenna, R. Wang,
"Learning query-dependent distance metrics for interactive image retrieval", in International Conference on Computer Vision Systems (ICVS), 2009. [bib] [pdf]
[47] S. Blunsden, B. Richards, T. Bartindale, D. Jackson, P. Olivier, J. N. Boger, A. Mihailidis, J. Hoey,
"Design and prototype of a device to engage cognitively disabled older adults in visual artwork", in ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), 2009. [bib] [pdf]
[46] T. Aslam, B. Fleck, N. Patton, E. Trucco, H. Azegrouz,
"Digital image analysis of plus disease in retinopathy of prematurity", Acta Ophthalmologica, vol. 87, no. 4, 2009, pp. 368-377. [bib] [pdf]
[45] T. Amaral, S. J. McKenna, K. Robertson, A. Thompson,
"Scoring of breast tissue microarray spots through ordinal regression", in International Conference on Computer Vision Theory and Applications (VISAPP), 2009, pp. 243-248. [bib] [pdf]
[44] T. Amaral, M. Sciarabba, S. J. McKenna, K. Robertson, A. Thompson,
"Scoring of breast tissue microarrays using ordinal regression: local patches vs. nuclei segmentation", in Medical Image Understanding and Analysis (MIUA), 2009. [bib] [pdf]
[43] T. Amaral, S. J. McKenna, K. Robertson, A. Thompson,
"Analysis of breast tissue microarrays using latent Dirichlet allocation", in Optical Tissue Image Analysis in Microscopy, Histopathology and Endoscopy (OPTIMHisE), MICCAI workshop, 2009, pp. 112-123. [bib]
2008
[42] A. A. Ward, S. J. McKenna, I. W. Ricketts, R. Wang, J. Han, W. Jia, P. Sergeant, A. Buruma, P. Taylor, M. Stapleton, M. Selway, G. Howard, J. Stevenson, C. Wilkie, N. Sheen,
"Fashion and Apparel Browsing for Inspirational Content", in Multimedia Knowledge Management, MMKM Workshop on Future Directions, 2008. [bib] [pdf]
[41] A. A. Ward, S. J. McKenna, A. Buruma, P. Taylor, J. Han,
"Merging technology and users: applying image browsing to the fashion industry for design inspiration", in International Workshop on Content-based Multimedia Indexing (CBMI), 2008. [bib] [pdf]
[40] A. Perez-Rovira, E. Trucco,
"Robust optic disk location via combination of weak detectors", in Medical Image Understanding and Analysis (MIUA), 2008. [bib]
[39] A. Perez-Rovira, E. Trucco,
"Robust optic disk location via combination of weak detectors", in International Conference on Engineering in Medicine and Biology (EMBC), 2008. [bib] [pdf]
[38] A. Nayak, E. Trucco, A. Ahmad, A. M. Wallace,
"SimBIL: appearance-based simulation of burst-illumination laser sequences", IET Image Processing, vol. 2, no. 3, 2008, pp. 165-174. [bib]
[37] A. Mihailidis, J. N. Boger, M. Candido, J. Hoey,
"The COACH prompting system to assist older adults with dementia through handwashing: an efficacy study", BMC Geriatrics, vol. 8, no. 1, 2008, pp. 28. [bib] [doi]
[36] S. Kerrigan, S. J. McKenna, I. W. Ricketts, C. A. Wigderowitz,
"Automated assessment of polyethylene wear in cemented acetabular components using anteroposterior radiographs of total hip replacements", Computerized Medical Imaging and Graphics, vol. 32, 2008, pp. 221-238. [bib] [doi]
[35] P. Kan, J. Hoey, A. Mihailidis,
"Automated upper extremity rehabilitation for stroke patients using a partially observable Markov decision process", in AAAI Fall Symposium on AI in Eldercare, 2008. [bib] [pdf]
[34] S. Ivekovic, E. Trucco, Y. R. Petillot,
"Human body pose estimation with particle swarm optimisation", Evolutionary Computation Journal, vol. 16, no. 4, 2008. [bib]
[33] J. Han, S. J. McKenna, R. Wang,
"Regular texture analysis as statistical model selection", in European Conference on Computer Vision (ECCV), 2008. [bib] [pdf]
[32] C. Buchanan, E. Trucco,
"Contextual detection of diabetic pathologies in wide-field retinal angiograms", in International Conference on Engineering in Medicine and Biology (EMBC), 2008. [bib] [pdf]
[31] C. Buchanan, E. Trucco,
"Contextual detection of diabetic pathologies in wide-field retinal angiograms", in Medical Image Understanding and Analysis (MIUA), 2008. [bib]
[30] T. Amaral, S. J. McKenna, K. Robertson, A. Thompson,
"Classification of breast tissue microarray spots using colour and local invariants", in International Symposium on Biomedical Imaging (ISBI), 2008. [bib] [pdf]
[29] T. Amaral, S. J. McKenna, K. Robertson, A. Thompson,
"Classification of breast tissue microarray spots using texton histograms", in Medical Image Understanding and Analysis (MIUA), 2008, pp. 144-148. [bib] [pdf]
2007
[28] E. Trucco, C. Buchanan, T. Aslam, B. Dhillon,
"Contextual detection of ischemic regions in ultra-wide-field-of-view fluorescein angiograms", in Medical Image Understanding and Analysis (MIUA), 2007. [bib]
[27] E. Trucco, C. Buchanan,
"Automatic detection of hyper-fluorescent leakage in retinal angiographic sequences by temporal analysis", in Medical Image Understanding and Analysis (MIUA), 2007. [bib]
[26] E. Trucco, C. Buchanan, T. Aslam, B. Dhillon,
"Contextual detection of ischemic regions in ultra-wide-field-of-view fluorescein angiograms", in International Conference on Engineering in Medicine and Biology (EMBC), 2007. [bib] [pdf]
[25] M. Seise, S. J. McKenna, I. W. Ricketts, C. A. Wigderowitz,
"Learning active shape models for bifurcating contours", IEEE Transactions on Medical Imaging, vol. 26, no. 5, 2007, pp. 666-677. [bib] [doi]
[24] T. Roberts, S. J. McKenna, N. Wuyts, T. Valentine, A. G. Bengough,
"Performance of low-level motion estimation methods for confocal microscopy of plant cells in vivo", in IEEE Workshop on Motion & Video Computing, 2007. [bib] [pdf]
[23] T. Roberts, S. J. McKenna, I. W. Ricketts,
"Human pose estimation using partial configurations and probabilistic regions", International Journal of Computer Vision, vol. 73, no. 3, 2007, pp. 285-306. [bib] [pdf]
[22] A. Mihailidis, P. Elinas, J. N. Boger, J. Hoey,
"An intelligent powered wheelchair to enable mobility of cognitively impaired older adults: an anticollision system", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15, no. 1, 2007, pp. 136-143. [bib] [doi]
[21] A. Mihailidis, J. N. Boger, M. Candido, J. Hoey,
"The use of an intelligent prompting system for people with dementia", ACM Interactions, vol. 14, no. 4, 2007, pp. 34-37. [bib] [doi]
[20] S. J. McKenna, H. Nait-Charif,
"Tracking human motion using auxiliary particle filters and iterated likelihood weighting", Image and Vision Computing, vol. 25, no. 6, 2007, pp. 852-862. [bib] [doi]
[19] T. C. Lukins, E. Trucco,
"Towards visual assessment of progress in construction projects", in British Machine Vision Conference (BMVC), 2007. [bib]
[18] S. Ivekovic, E. Trucco,
"3-D modelling in a wide-baseline disparity space", in IET Conference on Computer Vision for Media Production (CVMP), 2007. [bib]
[17] Y. M. Ibrahim, T. C. Lukins, A. P. Kaka, E. Trucco,
"A conceptual progress measurement framework for automatic work packaging and assessment with computer vision", in W78 Conference, 2007. [bib]
[16] J. Hoey, A. von Bertoldi, P. Poupart, A. Mihailidis,
"Assisting persons with dementia during handwashing using a partially observable Markov decision process", in International Conference on Vision Systems (ICVS), 2007. [bib] [doi]
[15] J. Hoey, J. J. Little,
"Value-directed human behavior analysis from video using partially observable Markov decision processes", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 7, 2007, pp. 1118-1132. [bib] [pdf]
[14] C. Buchanan, E. Trucco, G. England, D. Cairns, C. Mazo,
"Automatic detection of hyperfluorescent leakage in fluorescein angiograms", in ARVO 2007. [bib]
2006
[13] H. Azegrouz, E. Trucco,
"Max-Min Central Vein Detection in Retinal Fundus Images", in 2006 IEEE International Conference on Image Processing, pp. 1925-1928. [bib] [pdf]
[12] A. Nayak, E. Trucco, N. A. Thacker,
"When are Simple LS Estimators Enough? An Empirical Study of LS, TLS, and GTLS", International Journal of Computer Vision, vol. 68, no. 2, jun 2006, pp. 203-216. [bib] [pdf]
[11] H. Azegrouz, E. Trucco,
"Max-Min Central Vein Detection in Retinal Fundus Images", in Medical Image Understanding and Analysis (MIUA), 2006. [bib]
[10] H. Azegrouz, E. Trucco, B. Dhillon, T. MacGillivray, I. J. MacCormick,
"Thickness dependent tortuosity estimation for retinal blood vessels", in Medical Image Understanding and Analysis (MIUA), 2006. [bib]
[9] H. Azegrouz, E. Trucco, B. Dhillon, T. MacGillivray, I. J. MacCormick,
"Thickness dependent tortuosity estimation for retinal blood vessels", in Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE, pp. 4675-4678. [bib] [pdf]
2005
[8] A. Lasso, E. Trucco,
"Vessel enhancement in digital X-ray angiographic sequences by temporal statistical learning", Computerized Medical Imaging and Graphics, vol. 29, no. 5, jul 2005, pp. 343-355. [bib] [pdf]
[7] E. Trucco, H. Azegrouz,
"Improving optic disk location in fundus camera images by plausible detection", in Medical Image Understanding and Analysis (MIUA), 2005. [bib] [pdf]
[6] T. Andersen, E. Trucco,
"3-D iris tracking using correspondenceless stereo", in Proc 2nd Int Conf on Vision, Video and Graphics, 2005. [bib]
[5] E. Trucco, T. Anderson, M. Razeto, S. Ivekovic,
"Robust Correspondenceless 3-D Iris Location for Immersive Environments", in Image Analysis and Processing (ICIAP), LNCS 3617, D. Hutchison et al., Eds., Springer, 2005, pp. 123-130. [bib] [pdf]
[4] E. Trucco, M. Razeto,
"Robust iris location in close-up images of the eye", Pattern Analysis & Applications, vol. 8, no. 3, 2005, pp. 247-255. [bib] [pdf]
[3] C. Mazo, E. Trucco, G. England, Y. Petillot, J. Bell, H. Harvey,
"Multi-channel multiple-source optic disk detection", in Medical Image Understanding and Analysis (MIUA), 2005. [bib] [pdf]
2004
[2] E. Trucco, P. Kamat,
"Locating the optic disk in retinal images via plausible detection and constraint satisfaction", in 2004 International Conference on Image Processing, 2004. ICIP '04, pp. 155 - 158 Vol. 1. [bib] [pdf]
Published Online First: 19 August 2017
[1] M. RV, M. GJ, Q. NB, C. U, M. TJ, 2. R. G, P. E, T. E, W. MC, 4. P. T, D. B, v. B. EJR, N. DE, K. F, Y. IS, H. RE,
"Evaluation of Coronary Artery Disease as a Risk Factor for Reticular Pseudodrusen", British Journal of Ophthalmology, Published Online First: 19 August 2017. [bib] [doi]
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