Poster presentations
1. Guang Yang, Imperial College London
MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks
2. Zobia Akram, Aberystwyth University
Mammographic Mass Classification Using Filter Response Patches
3. Said Pertuz, Tampere University of Technology
Algorithms and Methods for Computerized Analysis of Mammography Images for Breast Cancer Risk Assessment
4. Zheqi Yu, University of Wolverhampton
A Real-time Assistive Diagnosis System for Esophageal Adenocarcinoma and Colorectal Cancer
5. Bartlomiej Papiez, University of Oxford
Towards Automated Non-invasive Monitoring of Metastatic Tumour Growth for Preclinical Studies
6. Liping Wang, Aberystwyth University
Prostate Cancer Detection using Features Extracted from Multi-parametric MRI
7. Adam Szmul, University of Oxford
A Novel Approach for Deformable Lung Image Registration Using Over-Segmentation based on Supervoxels, Graph Cuts and Guided Image Filtering
8. Joseph Jacobs, University College London
Semi-supervised Prostate Nucleus Classification with Convolutional Neural Networks
9. José Alonso Solís-Lemus, City, University of London
Segmentation of Overlapping Macrophages Using Anglegram Analysis
10. Alison Pouplin, Imperial College London
Modelling the Evolution of Skin Lesions Over Time Using a Bidirectional Generative Adversarial Network
11. Nashid Alam, Aberystwyth University
Computer-aided Classification of Microcalcification Cluster in Digitized Mammogram for Early Diagnosis of Breast Cancer
12. Arti Taneja, Amity Institute of Information Technology
13. Nathan Olliverre, City, University of London
Pairwise Mixture Model for Unmixing Partial Volume Effect in Multi-voxel MR Spectroscopy of Brain Tumour Patients
14. Paul Tar, University of Manchester
Mathematical Modelling of Tumour Heterogeneity Increases Statistical Power in Assessing Response to Therapy
15. Muhammad Shaban, Warwick University
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images
16. Tzu-Hsi Song, Warwick University
Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images
17. Simon Graham, Warwick University
Classification of Lung Cancer Histology Images using Patch-Level Summary Statistics
18. Talha Qaiser, Warwick University
Tumor Segmentation in Whole Slide Images using Persistent Homology and Deep Convolutional Features
19. Najah Alsubaie, Warwick University
Survival Analysis of Lung Cancer Patients using Nuclear Features
20. Navid Alemi, Warwick University
Deep Learning for Lung Cancer Histology Image Analysis
