NB: This is a draft programme and is subject to change.
MIUA Day 1: Wednesday, 24th July 2019
| 08:30 | Registration |
| 09:00 | Welcome |
| 09:20 | Keynote 1 |
| 10:05 | Break |
| 10:25 | Oral Session 1: Oncology and Tumour Imaging |
| Tissue Classification to Support Local Active Delineation of Brain Tumors Albert Comelli, Alessandro Stefano, Samuel Bignardi, Claudia Coronnello, Giorgio Russo, Maria Gabriella Sabini, Massimo Ippolito, Anthony Yezzi |
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| Using a conditional Generative Adversarial Network (cGAN) for Prostate Segmentation Amelie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar |
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| A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms Haipeng Li, Ramakrishnan Mukundan, Shelley Boyd |
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| Wilms’ Tumor in Childhood: Can Pattern Recognition Help for Classification? Sabine Mueller, Joachim Weickert, Norbert Graf |
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| Multi-scale Tree-based Topological Modelling and Classification of Micro-calcifications Zobia Suhail, Reyer Zwiggelaar |
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| 11:40 | Oral Session 2: Lesion, Wound and Ulcer Analysis |
| Automated Mobile Image Acquisition of Skin Wounds using Real-Time Deep Neural Networks José Faria, João Almeida, Maria Vasconcelos, Luis Rosado |
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| Hyperspectral imaging combined with machine learning classifiers for diabetic foot ulcer assessment – A case study Mihaela Antonina Calin, Sorin Viorel Parasca, Dragos Manea |
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| Classification of Ten Skin Lesion Classes: Hierarchical KNN versus Deep Net Robert Fisher, Jonathan Rees, Antoine Bertrand |
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| 12:25 | Lunch |
| 13:25 | Keynote 2 |
| 14:10 | Oral Session 3: Biostatistics |
| Multilevel Models of Age-Related Changes in Facial Shape in Adolescents Damian Farnell, Jennifer Galloway, Alexei Zhurov, Stephen Richmond |
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| Spatial modelling of retinal thickness in images from patients with diabetic macular oedema Wenyue Zhu, Jae Yee Ku, Yalin Zheng, Paul Knox, Simon Harding, Ruwanthi Kolamunnage-Dona, Gabriela Czanner |
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| 14:40 | Break |
| 15:00 | Tutorial |
| 19:00 | Welcome Drinks |
MIUA Day 2: Thursday, 25th July 2019
| 09:00 | Keynote 3 |
| 09:45 | Oral Session 4: Fetal Imaging |
| Incremental learning of fetal heart anatomies using interpretable saliency maps Arijit Patra, Alison Noble |
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| Improving Fetal Head Contour Detection by Object Localisation with Deep Learning Baidaa Al-Bander, Theiab Alzahrani, Saeed Alzahrani, Bryan Williams, Yalin Zheng |
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| Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete |
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| Multi-task CNN for structural semantic segmentation in 3D fetal brain ultrasound Lorenzo Venturini, Alison Noble, Ana I.L. Namburete |
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| Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Alison Noble |
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| 11:00 | Break |
| 11:20 | Oral Session 5: Ophthalmic Imaging |
| Convolutional attention on images for locating macular edema Maximilian Bryan, Jonas Nathanael Philipp, Gerhard Heyer, Matus Rehak, Peter Wiedemann |
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| Optic disc and fovea localisation in ultra-widefield scanning laser ophthalmoscope images captured in multiple modalities Peter Wakeford, Enrico Pellegrini, Gavin Robertson, Michael Verhoek, Alan Flemming, Jano van Hemert, Ik Heng |
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| Deploying Deep Learning into practice: A case study on fundus segmentation Sören Klemm, Robin David Ortkemper, Xiaoyi Jiang |
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| Joint Destriping and Segmentation of OCTA Images Xiyin Wu, Dongxu Gao, Bryan Williams, Amira Stylianides, Yalin Zheng, Zhong Jin |
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| 12:20 | Rapid Fire Session 1 |
| 12:50 | Lunch |
| 13:50 | Poster Session 1 |
| 14:50 | Keynote 4 |
| 15:35 | Group Photo and Break |
| 16:00 | Oral Session 6: Diagnosis, Classification and Treatment |
| A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images Abdullah Alfahaid, Tim Morris, Timothy F. Cootes, Pearse A Keane, Hagar Khalid, Nikolas Pontikos, Panagiotis Sergouniotis, Konstantinos Balaskas |
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| Automatic Glaucoma Assessment Using a Semi-supervised Learning Method Andres Diaz-Pinto, Adrián Colomer, Valery Naranjo, Sandra Morales, Yanwu Xu, Alejandro Frangi |
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| MicroRNA-Drug Association Prediction by Known Nearest Neighbour Algorithm & Label Propagation using Linear Neighbourhood Similarities Gill Varghese Sajan |
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| Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed |
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| 19:00 | Conference Dinner |
MIUA Day 3: Friday, 26th July 2019
| 09:00 | Keynote 5 |
| 09:45 | Oral Session 7: Vessel and Nerve Analysis |
| Automated Quantification of Retinal Microvasculature from OCT Angiography using Dictionary-Based Vessel Segmentation Astrid Engberg, Jesper Erichsen, Birgit Sander, Line Kessel, Anders Dahl, Vedrana Dahl |
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| Validating Segmentation of the Zebrafish Vasculature Elisabeth Kugler, Timothy Chico, Paul Armitage |
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| Analysis of spatial spectral features of dynamic contrast-enhanced brain magnetic resonance images for studying small vessel disease Jose Bernal, Maria Valdes Hernandez, Javier Escudero, Paul Armitage, Stephen Makin, Rhian Touyz, Joanna Wardlaw |
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| Segmentation of Arteriovenous Malformation Based on Weighted Breadth-first Search of Vascular Skeleton Zonghan Wu, Baochang Zhang, Shoujun Zhou, Na Li |
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| 10:30 | Break |
| 10:50 | Oral Session 8: Image Registration |
| A VARIATIONAL JOINT SEGMENTATION AND REGISTRATION FRAMEWORK FOR MULTIMODAL IMAGES Adela Ademaj, Lavdie Rada, Mazlinda Ibrahim, Ke Chen |
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| An Unsupervised Deep Learning Method For Diffeomorphic Mono-And Multi-Modal Image Registration Anis Theljani, Ke Chen |
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| Automatic Detection and Visualisation of Metastatic Bone Disease Nathan Sjoquist, Tristan Barrett, David Thurtle, Vincent Gnanapragasam, Ken Poole, Graham Treece |
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| High-Order Markov Random Field Based Image Registration for Pulmonary CT Peng Xue, Enqing Dong, Huizhong Ji |
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| 11:50 | Rapid Fire Session 2 |
| 12:20 | Lunch |
| 13:05 | Poster Session 2 |
| 13:35 | Oral Session 9: Image Segmentation |
| A Fully Automated Segmentation System of Positron Emission Tomography Studies Albert Comelli, Alessandro Stefano |
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| A General Framework for Localizing and Locally Segmenting Correlated Objects – A Case Study on Intervertebral Discs in Multi-Modality MR Images Alexander Oliver Mader, Cristian Lorenz, Carsten Meyer |
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| An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs Jingyi Zhang, Yong Xia |
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| Polyp Segmentation with Fully Convolutional Deep Dilation Neural Network Evaluation Study Yunbo Guo, Bogdan Matuszewski |
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| 14:35 | Break |
| 14:55 | Keynote 6 |
| 15:40 | Oral Session 10: Enhancement and Reconstruction |
| A novel deep learning based OCTA de-striping method Dongxu Gao, Numan Celik, Xiyin Wu, Bryan Williams, Amira Stylianides, Yalin Zheng |
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| Edge enhancement for image segmentation using RKHS Liam Burrows, Weihong Guo, Ke Chen, Francesco Torella |
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| A Neural Network Approach for Image Reconstruction from a Single X-ray Projection Samiha Rouf, Chenyang Shen, Yan Cao, Conner Davis, Xun Jia, Yifei Lou |
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| Deep Vectorization Convolution Neutral Networks for Denoising in Mammogram Using Enhanced Image Varakorn Kidsumran, Yalin Zheng |
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| 16:40 | Prizes and Close |
