Tuesday 11th July 2017

8.00-17.30  Registration
9.00-9.10 Welcome words: Professor Joanna M. Wardlaw, The University of Edinburgh
9.10-9.50 Keynote Lecture 1: Professor Sir J. Michael Brady, University of Oxford
Development of a medical imaging spin-out company
Chair: Professor Ian Marshall, The University of Edinburgh
9.50-10.30 Keynote Lecture 2: Professor Daniel Rueckert, Imperial College London
Learning clinically useful information from medical images
Chair: Professor Ian Marshall, The University of Edinburgh
10.30-11.00 Coffee/tea and posters
11.00 Workshop SINAPSE (Scottish Imaging Network: A Platform for Scientific Excellence).

Dr Robin Ince, University of Glasgow
Dr Fiona Moreton, NHS Lothian
Dr Islem Rekik, University of Dundee

SINAPSE is the pooling group for medical imaging research in Scotland. This consortium brings together clinical and experimental imaging researchers from six Scottish universities, with areas of expertise including MRI, PET, SPECT, CT, EEG, MEG, ultrasound, and human optical imaging.  This workshop showcases recent image analysis work and applications from SINAPSE members representing the diverse settings and disciplines across which the Scottish shared national environment for medical imaging research, knowledge exchange and education is maintained.

12.00 Buffet lunch, Dining Hall (ground floor)
13.00 Tutorials: “Processing and analysing microscopy images with MATLAB” by Dr Constantino Carlos Reyes Aldasoro & Jasmina Lazic

“Deep Learning on the analysis of radiological images” by Konstantinos Kamnitsas

15.00 Coffee/tea and posters
15.30-16.45 Oral Session: Brain Imaging.

Chairs: Professor Daniel Rueckert and Dr Maria del C. Valdés Hernández

[1] Evaluating Alzheimer’s Disease Diagnosis Using Texture Analysis. Francisco Jesús Martínez Murcia, Juan M. Górriz, Javier Ramírez, Fermin Segovia, Diego Salas-Gonzalez, Diego Castillo, Ignacio A. Illán, Andrés Ortíz. University of Granada and University of Málaga (Spain), and Florida State University (USA) (Paper submission 45)

[2] Context-aware convolutional neural networks for stroke sign detection in non-contrast CT scans. Aneta Lisowska, Alison O’Neil, Vismantas Dilys, Matthew Daykin, Erin Beveridge, Keith Muir, Stephen McLaughlin, Ian Poole. Heriot-Watt University, Toshiba Medical Visualization Systems Europe and Queen Elizabeth University Hospital (Edinburgh and Glasgow, UK) (Paper submission 12)

[3] Automatic brain Tumour Detection and Segmentation Using U-Net based Fully Convolutional Networks. Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo. Imperial College London and St. George’s University of London (London, UK) (Paper submission 69)

[4] Modelling Diffusion Directions of Corpus Callosum. Safa Elsheikh, Andrew Fish, Diwei Zhou, Roma Chakrabarti, Mara Cercignani. University of Brighton, Loughborough University and University of Sussex (UK) and Santa Lucia Foundation, Rome (Italy) (Paper submission 116)

[5] Review of Fast Density-peaks Clustering and its application to Pediatric White Matter Tracts. Shichao Cheng, Yuzhuo Duan, Xin Fan, Dongyu Zhang, Hua Cheng. Dalian University of Technology and Medical Imaging Centre at Beijing Children’s Hospital (China) (Paper submission 40)

16.45-17.30 Software presentations: Chair: Dr Islem Rekik
18.30-19.30 Drinks Reception, South Hall, Pollock Halls of Residence
19.30-21.30 Ceilidh, South Hall, Pollock Halls of Residence

Wednesday 12th July 2017

9.00-17.30 Registration
9.00-10.00 Oral Session: Ultrasound. Chair: Dr Esin Ozturk Isik

[1] Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images. Dheyaa A. Ibrahim, Hisham Al-Assam, Sabah Jassim, Hongbo Du. University of Buckingham (Buckingham, UK) (Paper submission 66)

[2] Edge Aware Geometric Filter for Ultrasound Image Enhancement. Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Arvinder Soin. Indian Institute of Technology Delhi, Central Electronics Engineering Research Institute, and Medanta Hospital (India) (Paper submission 72)

[3] Weakly Supervised Learning of Placental Ultrasound Images with Residual Networks. Huan Qi, Sally Collins, Alison Noble. University of Oxford (Oxford, UK) (Paper submission 105)

[4] Deep Residual Networks for Quantification of Muscle Fiber Orientation and Curvature from Ultrasound Images. Ryan Cunningham, Peter Harding, Ian Loram. Manchester Metropolitan University (Manchester, UK) (Paper submission 108)

10.00-10.35 Keynote Lecture 3: Professor Jinah Park, Korea Advanced Institute of Science and Technology (KAIST)
Model-based approach to 3D shape recovery and analysis
Chair: Dr Maria del C. Valdés Hernández, The University of Edinburgh
10.35-11.05 Coffee/tea and posters
11.05-12.00 Lightning talks of Selected Paper Posters
Chair: Dr Constantino Carlos Reyes Aldasoro
12.00-13.00 Lunch and posters
30-minute masterclass: Science writing for web
David Johns, Medical Image Analysis Network
Write and publish an engaging and well-structured research summary to communicate your work to funders, potential collaborators, or future employers.
Registration required (lunch served in the room, limited spaces)
13.00-14.00 Oral Session: Retinal imaging. Chairs: Professor Nasir Rajpoot and Dr Lucia Ballerini

[1] End-to-end learning of a Conditional Random Field for Intra-Retinal Layer Segmentation in Optical Coherence Tomography. Arunava Chakravarty, Jayanthi Sivaswamy. International Institute of Information Technology, Hyderabad (India) (Paper submission 8)

[2] Superpixel-based Line Operator for Retinal Blood Vessel Segmentation. Tong Na, Yitian Zhao, Yifan Zhao, Yue Liu. Georgetown Preparatory School (USA), Beijing Institute of Technology (China) and Cranfield University (UK) (Paper submission 031)

[3] Fast Optic Disc Segmentation in Retinal Images using Polar Transform. Muhammad Nauman Zahoor, Muhammad Moazam Fraz. National University of Science and Technology (Pakistan) (Paper submission 061)

[4] Automatic determination of retinal vessel junctions and crossings in colour fundus photography. Harry Pratt, Bryan Williams, Jae Ku, Frans Coenen, Yalin Zheng. University of Liverpool and Liverpool Royal University Hospital (Liverpool, UK) (Paper submission 102)

14.00-15.00 Oral Session: Cardiovascular imaging. Chair: Professor Ingela Nystrom and Dr Guang Yang

[1] Segmenting Atrial Fibrosis from late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Greg Slabaugh, Tom Wong, Raad Mohiaddin, Jenny Keegan, David Firmin. Imperial College and City University London, University of Lincoln (Lincoln and London, UK) (Paper submission 6)

[2] Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold. Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes Aldasoro, Greg Slabaugh. City University London (London, UK) (Paper submission 25)

[3] Classifications of Cross-sections for Vascular Skeleton Extraction Using Convolutional Neural Networks. Kristina Lidayová, Anindya Gupta, Hans Frimmel, Ida-Maria Sintorn, Ewert Bengtsson, Örjan Smedby. Uppsala University (Sweden) (Paper submission 74)

[4] Evaluating classifiers for atherosclerotic plaque component segmentation in MRI. Arna Van Engelen, Marleen de Bruijne, Torben Schneider, Anouk Van Dijk, M. Eline Kooi, Jeroen Hendrikse, Aart Nederveen, Wiro Niessen, Rene Botnar. Kings College London (UK), Erasmus MC – University Medical Center Rotterdam (The Netherlands) (Paper submission 82)

15.00-15.30 Coffee/Tea and posters
15.30-16.30 Oral Session: Oncology imaging.  Chairs: Dr Xujiong Ye and Dr Sasan Mahmoodi

[1] Quantitative electron density CT imaging for radiotherapy planning. Jonathan Mason, Alessandro Perelli, William Nailon, Mike Davies. University of Edinburgh (Edinburgh, UK) (Paper submission 32)

[2] FF-CNN: an efficient deep neural network for mitosis detection in breast cancer histological images. Boqian Wu, Tasleem Kausar, Qiao Xiao, Mingjiang Wang, Wenfeng Wang, Binwen Fan, Dandan Sun. Harbin Institute of Technology, Xinjiang Institute of Ecology and Geography at the Chinese Academy of Sciences, and Zouping Hospital of Traditional Chinese Medicine (China) (Paper submission 44)

[3] Semi-Automatic Bone Marrow Evaluation in PET-CT for Multiple Myeloma. Patrick Leydon. University College Dublin (Ireland) (Paper submission 68)

[4] Multi-task Fully Convolutional Network for brain Tumour Segmentation. Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen McKenna. University of Dundee (Dundee, UK) (Paper submission 111)

15.30-16.30 Oral Session: Mammography imaging. Chair: Professor Sir Michael Brady and Dr Maria Gloria Bueno Garcia

[1] A robust Algorithm for Automated HER2 Scoring in Breast Cancer Histology Slides Using Characteristic Curves. Ramakrishnan Mukundan. University of Canterbury (New Zealand) (Paper submission 41)

[2] Breast Density Classification using Multiresolution Local Quinary Patterns in Mammograms. Andrik Rampun, Philip Morrow, Bryan Scotney, John Winder. University of Ulster (Northern Ireland, UK) (Paper submission 52)

[3] Rich interaction and feedback supported mammographic training: a trial of an Augmented Reality approach. Qiang Tang, Yan Chen, Alastair Gale. Loughborough University (Loughborough, UK) (Paper submission 93)

[4] Investigating the effect of various augmentations on the input data fed to a Convolutional Neural Network for the task of mammographic mass classification. Azam Hamidinekoo, Zobia Suhail, Talha Qaiser, Reyer Zwiggelaar. Aberystwyth University (Aberystwyth, UK) (Paper submission 96)

19.00 Conference Dinner, Royal College of Surgeons
Presentation from University of Southampton, Hosts of 2018 MIUA Conference

Thursday 13th July 2017

9.00-17.30 Registration
9.15-10.00 Keynote Lecture 4: Professor Ingela Nystrom, Uppsala University
Interactive Image Segmentation and Visualisation for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications
Chair: Professor Mark Nixon, University of Southampton
10.00-10.30 Coffee/tea and posters
10.30-11.30 Oral Session: Image enhancement and alignment. Chair: Professor Reyer Zwiggelaar

[1] Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of 1H Magnetic Resonance Spectroscopc Imaging. Sevim Cengiz, Maria C. Valdés Hernández, Esin Ozturk-Isik. Boğaziҫi University and University of Edinburgh (Turkey, UK) (Paper submission 63)

[2] Radial Basis Function Interpolation for Rapid Interactive Segmentation of 3D Medical Images. Negar Mirshahzadeh, Tanja Kurzendorfer, Peter Fischer, Thomas Pohl, Alexander Brost, Stefan Steidl, Andreas Maier. Friedrich-Alexander-University Erlangen-Nuremberg, Siemens Healthcare GmbH (Germany) (Paper submission 75)

[3] Motion Compensation using Range Imaging in C-arm Cone-Beam CT. Bastian Bier, Mathias Unberath, Tobias Geimer, Jennifer Maier, Garry Gold, Marc Levenston, Rebecca Fahrig, Andreas Maier. Friedrich-Alexander-University Erlangen-Nuremberg, Siemens Healthcare GmbH (Germany) and Stanford University (USA) (Paper submission 81)

[4] Restoration of Intensity Uniformity of Bi-contrast MRI Data with Bayesian Co-occurrence Coring. Stathis Hadjidemetriou, Marios Psychogios, Paul Lingor, Kajetan von Eckardstein, Ismini Papageorgiou Cyprus University of Technology (Cyprus) and University of Goettingen (Germany) (Paper submission 91)

11.30-12.30 Lightning talks of Clinical Abstracts  Chair: Dr Constantino Carlos Reyes Aldasoro
12.30-13.30 Lunch and posters











Oral Session: Modelling and segmentation. Chair: Dr Tryphon Lambrou

[1] A 2D Morphable Model of Craniofacial Profile and its Application to Craniosynostosis. Hang Dai, Nick Pears, Christian Duncan. University of York (York, UK) (Paper submission 15)

[2] Automated polyp segmentation in colonoscopy frames using fully convolutional neural network and textons. Lei Zhang, Sunil Dolwani, Xujiong Ye. University of Lincoln (Lincoln, UK) (Paper submission 26)

[3] Unsupervised Superpixel-based Segmentation of Histopathological Images with Consensus Clustering. Shereen Fouad, David Randell, Antony Galton, Hisham Mehanna, Gabriel Landini. University of Birmingham (Birmingham, UK) (Paper submission 55)

[4] MIMONet: Gland Segmentation using Multi-Input-Multi-Output Convolutional Neural Network. Shan E. Ahmed Raza, Linda Cheung, David Epstein, Stella Pelengaris, Michael Khan, Talha Qaiser, Nasir Rajpoot. University of Warwick (Warwick, UK) (Paper submission 97)

Oral Session: Feature detection and classification. Chair: Dr. Victor González Castro

[1] Automated Detection of Barrett’s Esophagus using Endoscopic Images: A survey. Noha Ghatwary, Amr Ahmed, Xujiong Ye. University of Lincoln (Lincoln, UK) (Paper submission 79)

[2] Estimating Bacterial Load in FCFM Imaging. Sohan Seth, Ahsan R. Akram, Kevin Dhaliwal, Christopher K.I. Williams. University of Edinburgh (Edinburgh, UK) (Paper submission 87)

[3] Automatic Hotspots Detection for Intracellular Calcium Analysis in Fluorescence Microscopic Videos. David Traore, Naseer Al-Jawad, Hisham Al-Assam, Katja Rietdorf. University of Buckingham and The Open University (Buckingham and Milton Keynes, UK) (Paper submission 89)

[4] Automatic Quantification of Epidermis Curvature in H&E Stained Microscopic Skin Image of Mice. Saif Hussein, Sabab Jasim, Hisham Al-Assam. University of Buckingham (Buckingham, UK) (Paper submission 94)

15.30-16.00 Coffee/tea and posters
16.00-16.30 Prizes and close

Friday 14th July 2017

One day trip to the Scottish Highlands at a special discount price courtesy of the City of Edinburgh (needs to be paid separately).