Abstract is missing.
- Tissue Classification to Support Local Active Delineation of Brain TumorsAlbert Comelli, Alessandro Stefano, Samuel Bignardi, Claudia Coronnello, Giorgio Russo, Maria G. Sabini, Massimo Ippolito, Anthony J. Yezzi. 3-14 [doi]
- Using a Conditional Generative Adversarial Network (cGAN) for Prostate SegmentationAmelie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar. 15-25 [doi]
- A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital MammogramsHaiPeng Li, Ramakrishnan Mukundan, Shelley Boyd. 26-37 [doi]
- Wilms' Tumor in Childhood: Can Pattern Recognition Help for Classification?Sabine Müller 0001, Joachim Weickert, Norbert M. Graf. 38-47 [doi]
- Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcificationsZobia Suhail, Reyer Zwiggelaar. 48-58 [doi]
- Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural NetworksJosé Faria, João Almeida, Maria João M. Vasconcelos, Luís Rosado. 61-73 [doi]
- Hyperspectral Imaging Combined with Machine Learning Classifiers for Diabetic Leg Ulcer Assessment - A Case StudyMihaela A. Calin, Sorin V. Parasca, Dragos Manea, Roxana Savastru. 74-85 [doi]
- Classification of Ten Skin Lesion Classes: Hierarchical KNN versus Deep NetRobert B. Fisher, Jonathan Rees, Antoine Bertrand. 86-98 [doi]
- Multilevel Models of Age-Related Changes in Facial Shape in AdolescentsDamian J. J. Farnell, Jennifer Galloway, Alexei I. Zhurov, Stephen Richmond. 101-113 [doi]
- Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular OedemaWenyue Zhu, Jae Yee Ku, Yalin Zheng, Paul Knox, Simon P. Harding, Ruwanthi Kolamunnage-Dona, Gabriela Czanner. 114-126 [doi]
- Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency MapsArijit Patra, J. Alison Noble. 129-141 [doi]
- Improving Fetal Head Contour Detection by Object Localisation with Deep LearningBaidaa Al-Bander, Theiab Alzahrani, Saeed Alzahrani, Bryan M. Williams, Yalin Zheng. 142-150 [doi]
- Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural NetworksFelipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete. 151-163 [doi]
- Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain UltrasoundLorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete. 164-173 [doi]
- Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency PredictionRichard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble. 174-186 [doi]
- A Novel Deep Learning Based OCTA De-striping MethodDongxu Gao, Numan Celik, Xiyin Wu, Bryan M. Williams, Amira Stylianides, Yalin Zheng. 189-197 [doi]
- Edge Enhancement for Image Segmentation Using a RKHS MethodLiam Burrows, Weihong Guo, Ke Chen, Francesco Torella. 198-207 [doi]
- A Neural Network Approach for Image Reconstruction from a Single X-Ray ProjectionSamiha Rouf, Chenyang Shen, Yan Cao, Conner Davis, Xun Jia, Yifei Lou. 208-219 [doi]
- Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced ImageVarakorn Kidsumran, Yalin Zheng. 220-227 [doi]
- A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA ImagesAbdullah Alfahaid, Tim Morris, Tim Cootes, Pearse A. Keane, Hagar Khalid, Nikolas Pontikos, Panagiotis I. Sergouniotis, Konstantinos Balaskas. 231-241 [doi]
- Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy DetectionMuhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel 0001, Sheraz Ahmed. 242-253 [doi]
- Automated Quantification of Retinal Microvasculature from OCT Angiography Using Dictionary-Based Vessel SegmentationAstrid M. E. Engberg, Jesper H. Erichsen, Birgit Sander, Line Kessel, Anders B. Dahl, Vedrana Andersen Dahl. 257-269 [doi]
- Validating Segmentation of the Zebrafish VasculatureElisabeth Kugler, Timothy Chico, Paul A. Armitage. 270-281 [doi]
- Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel DiseaseJose Bernal, Maria del C. Valdés Hernández, Javier Escudero, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw. 282-293 [doi]
- Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular SkeletonZonghan Wu, Baochang Zhang, Jun Yang, Na Li, Shoujun Zhou. 294-301 [doi]
- A Variational Joint Segmentation and Registration Framework for Multimodal ImagesAdela Ademaj, Lavdie Rada, Mazlinda Ibrahim, Ke Chen 0002. 305-316 [doi]
- An Unsupervised Deep Learning Method for Diffeomorphic Mono-and Multi-modal Image RegistrationAnis Theljani, Ke Chen. 317-326 [doi]
- Automatic Detection and Visualisation of Metastatic Bone DiseaseNathan Sjoquist, Tristan Barrett, David Thurtle, Vincent J. Gnanapragasam, Ken Poole, Graham M. Treece. 327-338 [doi]
- High-Order Markov Random Field Based Image Registration for Pulmonary CTPeng Xue, Enqing Dong, Huizhong Ji. 339-350 [doi]
- A Fully Automated Segmentation System of Positron Emission Tomography StudiesAlbert Comelli, Alessandro Stefano. 353-363 [doi]
- A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR ImagesAlexander Oliver Mader, Cristian Lorenz, Carsten Meyer. 364-376 [doi]
- Polyp Segmentation with Fully Convolutional Deep Dilation Neural NetworkYun Bo Guo, Bogdan J. Matuszewski. 377-388 [doi]
- Convolutional Attention on Images for Locating Macular EdemaMaximilian Bryan, Gerhard Heyer, Nathanael Philipp, Matus Rehak, Peter Wiedemann. 391-398 [doi]
- Optic Disc and Fovea Localisation in Ultra-widefield Scanning Laser Ophthalmoscope Images Captured in Multiple ModalitiesPeter R. Wakeford, Enrico Pellegrini, Gavin Robertson, Michael Verhoek, Alan D. Fleming, Jano I. van Hemert, Ik Siong Heng. 399-410 [doi]
- Deploying Deep Learning into Practice: A Case Study on Fundus SegmentationSören Klemm, Robin D. Ortkemper, Xiaoyi Jiang 0001. 411-422 [doi]
- Joint Destriping and Segmentation of OCTA ImagesXiyin Wu, Dongxu Gao, Bryan M. Williams, Amira Stylianides, Yalin Zheng, Zhong Jin. 423-435 [doi]
- AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial RetinopathyXu Chen, Melissa Leak, Simon P. Harding, Yalin Zheng. 439-449 [doi]
- An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest RadiographsJingyi Zhang, Yong Xia, Yanning Zhang. 450-458 [doi]
- Automated Corneal Nerve Segmentation Using Weighted Local Phase TensorKun Zhao, Hui Zhang, Yitian Zhao, Jianyang Xie, Yalin Zheng, David Borroni, Hong Qi, Jiang Liu. 459-469 [doi]
- Comparison of Interactions Between Control and Mutant MacrophagesJosé Alonso Solís-Lemus, Besaid J. Sánchez-Sánchez, Stefania Marcotti, Mubarik Burki, Brian Stramer, Constantino Carlos Reyes-Aldasoro. 470-477 [doi]
- Comparison of Multi-atlas Segmentation and U-Net Approaches for Automated 3D Liver Delineation in MRIJames Owler, Ben Irving, Ged Ridgeway, Marta Wojciechowska, John McGonigle, Sir Michael Brady. 478-488 [doi]
- DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT ImagesJoshua Bridge, Simon P. Harding, Yalin Zheng. 489-496 [doi]
- Segmentation of Left Ventricle in 2D Echocardiography Using Deep LearningNeda Azarmehr, Xujiong Ye, Stefania Sacchi, James P. Howard, Darrel P. Francis, Massoud Zolgharni. 497-504 [doi]