Programme

Provisional Conference Programme (to be confirmed) – Download (PDF)

::  Wednesday Programme  ::  Thursday Programme  ::  Friday Programme  ::  List of Posters  ::

Wednesday, July 06, 2016

12:30 – 14:00 Registration Opens
13:00 – 14:00 Buffet lunch
14:00 – 15:00 Parallel Sessions:

– Workshop : 2D and 3D Medical Imaging and Eye Tracking
Dr Peter Phillips1, Dr Yan Chen2, Dr Hossein Nevisi2, Mr Leng Dong2
1University of Cumbria, Lancaster, UK
2Loughborough University, Loughborough, UK

– Visit to MRI Centre
Dr Matthew Pain, Sports Biomechanics and Motor Control Research Group, Loughborough University

15:00 – 15:30  Break
15:30 – 16:30 Parallel Sessions:

– Workshop : 2D and 3D Medical Imaging and Eye Tracking
Dr Peter Phillips1, Dr Yan Chen2, Dr Hossein Nevisi2, Mr Leng Dong2
1University of Cumbria, Lancaster, UK
2Loughborough University, Loughborough, UK

– Visit to MRI Centre
Dr Matthew Pain, Sports Biomechanics and Motor Control Research Group, Loughborough University

18:00 Reception – Drinks & Canapés
Hazlerigg Lawn, Loughborough University

 

Thursday, July 07, 2016

8:30 – 9:15 Registration
9:15 – 9:30 Welcome
Prof Mark Biggs, Dean of the School of Science, Loughborough University
Session 1:  MRI
9:30 – 9:50 An Integrated Software Application for Non-Invasive Assessment of Local Aortic Haemodynamic Parameters
M Florkow, J M Havana, A van Engelen, T Schneider, I Rafiq, H de Bliek, J Alastruey, R Bothar, Division of Imaging Sciences & Biomedical Engineering, St Thomas’s Hospital, King’s College, London, UK
9:50 – 10:10 Texture based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI
V Gonzalez-Castro, M del C Valdes Hernandez, P Armitage, J Wardlaw, Department of Neuroimaging Sciences, Centre for Clinical, Brain Sciences, University of Edinburgh, Edinburgh, UK
10:10 – 10:30 Cluster Analysis of Diffusion Tensor Fields with Application to the Segmentation of the Corpus Callosum
S Elsheikh, A Fish, R Chakrabarti, D Zhou, Brighton University, Brighton, UK
10:30 – 11:00 Break
Session 2:  Modeling
 11:00 – 11:20 A Regression Model for Registering Multimodal Images
T Deregnaucourt, C Samir, A-F Lao, LIMOS CNRS, University of Clermont Auvergne, Clermont Ferrand, France
11:20 – 11:40 Multi-point Regression Voting for Shape Model Matching
P Bromiley, C Lindner, J Thomson, M Wrigley, M Cootes, University of Manchester, UK
11:40 – 12:00 Automatic Generation of Synthetic Retinal Fundus Images: Vascular Network
L Bonaldi, E Mentl, L Ballerini, A Ruggeri, E Trucco, School of Science & Engineering, Dundee University, Dundee, UK
12:00 – 13:00 Lunch
13:00 – 14:00 Poster Session
14:00 – 14:30 Keynote Speaker
Challenges in Breast Cancer Screening

Dr Jonathan James, City Hospital, Nottingham, UK
14:30 – 15:30 Keynote Speaker
Computer Aided Detection with Deep Learning

Prof. Nico Karssemeijer, Radboud University, Nijmegen, Netherlands
15:30 – 16:00 Break
Session 3:  Computer Aided Diagnosis
16:00 – 16:20 An Automated Computer-aided Diagnosis System for Abdominal CT Liver Images
G I Sayed, A E Hassanien, G Schaefer, Faculty of Computers & Information, Cairo University, Cairo, Egypt
16:20 – 16:40 A Quantitative Study of Texture Features across Different Window Sizes in Prostate T2-weighted MRI
A Rampun, L Wang, P Malcolm, R Zwiggelaar, Department of Computer Science, Aberyswyth University, Aberyswyth, UK
16:40 – 17:00 Computer-aided Classification of Liver Lesions from CT Images based on Multiple ROI
H Alahmer, A Ahmed, Lincoln University, Lincoln, UK
19:00 Conference Dinner
Council Chamber, Hazlerigg Building, Loughborough University

 

Friday, July 08, 2016

9:15 – 10:15 Keynote Speaker
Imaging Biomarkers for Breast Cancer
Dr Sue Astley, Manchester University, UK
Session 4: Digital Pathology Workshop
 10:15 – 10:35 Bagging Tree Classifier and Texture Features for Tumour Identification in Histological Images
M Fernandez-Carrobles, G Bueno, I Serrano, O Deniz, Visilab, ETSII, Universidad de Castilla-da Mancha, Ciudad Real, Spain
10:35 – 10:55 Incorporating Local and Global Context for Better Automated Analysis of Colorectal Cancer on Digital Pathology Slides
A Wright, D Magee, P Quirke, D Treanor, Section of Pathology and Tumour Biology, Leeds Institute of Cancer and Biology, University of Leeds, Leeds, UK
10:55 – 11:25 Break
11:25 – 11:45 Cell Boundary Detection for Quantitative Studies of the Role of Tetraspanin CD82 in Cell-cell Adhesion
P Stroe, E Claridge, E Odinisova, School of Computer Science, University of Birmingham, Birmingham, UK
11:45 – 12:05 Luminance Adaptive Biomarker Detection in Digital Pathology Images
J Liu, G Qiu, L Shen, University of Nottingham Ningbo China, Ningbo, China
12:05 – 12:25 Persistent Homology for Fast Tumour Segmentation in Whole Slide Histology Images
T Qaiser, K Sirinukunwattana, K Nakane, Y-W Tsang, D Epstein, N Rajpoot, Department of Computer Science, Warwick University, Warwick, UK
12:25 – 14:00 Lunch
Session 5: Multidisciplinary Approaches
14:00 – 14:20 Automatic Detection of Hemangioma through a Cascade of Self Organizing Map Clustering and Morphological Operations
C Neghina, M Zamfir, M Ciuc, A Sultana, Department of Computer Science and Electrical Engineering, University of Sibiu, Sibiu, Romania
14:20 – 14:40 Detection, Reconstruction and Segmentation of Chronic Wounds using a Kinect v2 Sensor
D Filko, R Cupec, E K Nyarko, Faculty of Electrical Engineering, University of Osijek, Croatia
14:40 – 15:00 Fetal Ultrasound Image Classification Using a Bag-of-Words Model Trained on Sonographers’ Eye Movements
M Ahmed, A Noble, Oxford University, Oxford, UK
15:00 – 15:20 Mammographic Ellipse Modelling for Risk Estimation
M George,  E Denton, R Zwiggelaar, Department of Computer Science, Aberyswyth University, Aberyswyth, UK
15:20 – 15:40 Spatial Relations of Mammographic Density Regions and their Association with Breast Cancer Risk
M Alsheh Ali, M Garnier, K Humphreys, Department of Medical Epidemiology & Biostatistics, Karolinska Institute, Stockholm, Sweden
15:40 – 16:00 Security of Multi-frame DICOM Images using an XOR Encryption Approach
Q Natsheh, A G Gale, B Li, Department of Computer Science, Loughborough University, Loughborough, UK
16:00 Prize Giving and Close of Conference

 

Posters

Hybrid Level-Sets for Vertebral Body Segmentation in Clinical Spine MRI
G Hille, S Glaber, K Tonnies, University of Magdeburg, Magdeburg, Germany
Dots Detection in HER2 Fish Images based on Alternative Colour Spaces
T Les, T Markiewicz, M Jesiotr, W Kozlowski, Warsaw University of Technology, Warsaw, Poland
Active Learning for Real Time Detection of Polyps
Q Angermann, A Histace, O Romain, ETIS, Cergy, France
 Clinical Adoption of CAD:  Exploration of the Barriers to Translation
J Taylor, J Fenner, Sheffield University, Sheffield, UK
Globally Optimal Registration for Describing Joint Kinematics
R Jia, S Mellon, P Monk, D Murray, A Noble, Oxford University, Oxford, UK
Image-based  Registration for a Neurosurgical Robot:  Comparison using Iterative Closest Point and Coherent Point Drift Algorithms
J Cutter, I B Styles, A Leonardis, H Dehghani, PSIBS Doctoral Training Centre, Birmingham University, Birmingham, UK
Application of the Ordered Logit Model to Optimising Frangi Filter Parameters for Segmentation of Perivascular Spaces
L Ballerini, R Lovreglio, M del C Valdes Hernandez, V Gonzalez Castro, S Munoz-Mariega, E Pellegrini,M E Baston, I J Deary,  J Wardlaw, Department of Neuroimaging Sciences, Edinburgh University, Edinburgh, UK
Analysing Cognitive States using FMRI Data
Pankaj Pandey, Byom Kesh Jha, Neelam Sinha, International Institute of Information Technology, Bengaluru, India
Fast Automated Liver Delineation from Computational Tomography Angiography
X Ding, X Geng, C Jiang, F Tian, X Yan, H Qi, L Zhang, Y Zheng, Voxelcloud Inc, Los Angeles, USA
Automated Detection of Malaria Parasites on Thick Blood Smears Via Mobile Devices
L Rosado, J M Correia da Costa, D Elias, J S Cardoso, Fraunhofer Portugal, AICOS, Porto, Portugal
FASTR:  Using Local Structure Tensors as a Similarity Metric
J M Sloan, K Goatman, P Siebert, Toshiba Medical Visualization Systems Europe (TMSE), Edinburgh, UK
Convolutional Neural Networks for Diabetic Retinopathy
H Pratt, F Coenen, DM Broadbent, S P Harding, Y Zheng, Department of Eye and Vision Science, Institute of Ageing and Chronic Diseases, Liverpool University, Liverpool, UK
Eye Tracking Method Compatible with Dual-Screen Mammography Workstation
L Dong, Y Chen, A Gale, P Phillips, Loughborough University, UK

 

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