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ORCIDMIUA 2019: Liverpool, UK
- Yalin Zheng
, Bryan M. Williams, Ke Chen:
Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Liverpool, UK, July 24-26, 2019, Proceedings. Communications in Computer and Information Science 1065, Springer 2020, ISBN 978-3-030-39342-7
Oncology and Tumour Imaging
- Albert Comelli, Alessandro Stefano, Samuel Bignardi, Claudia Coronnello, Giorgio Russo, Maria G. Sabini, Massimo Ippolito, Anthony J. Yezzi:
Tissue Classification to Support Local Active Delineation of Brain Tumors. 3-14 - Amélie Grall, Azam Hamidinekoo, Paul Malcolm, Reyer Zwiggelaar:
Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation. 15-25 - Haipeng Li, Ramakrishnan Mukundan, Shelley Boyd:
A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms. 26-37 - Sabine Müller, Joachim Weickert, Norbert M. Graf:
Wilms' Tumor in Childhood: Can Pattern Recognition Help for Classification? 38-47 - Zobia Suhail, Reyer Zwiggelaar:
Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications. 48-58
Lesion, Wound and Ulcer Analysis
- José Faria, João Almeida, Maria João M. Vasconcelos, Luís Rosado:
Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks. 61-73 - Mihaela A. Calin, Sorin V. Parasca, Dragos Manea, Roxana Savastru:
Hyperspectral Imaging Combined with Machine Learning Classifiers for Diabetic Leg Ulcer Assessment - A Case Study. 74-85 - Robert B. Fisher, Jonathan Rees, Antoine Bertrand:
Classification of Ten Skin Lesion Classes: Hierarchical KNN versus Deep Net. 86-98
Biostatistics
- Damian J. J. Farnell, Jennifer Galloway, Alexei I. Zhurov, Stephen Richmond:
Multilevel Models of Age-Related Changes in Facial Shape in Adolescents. 101-113 - Wenyue Zhu, Jae Yee Ku, Yalin Zheng, Paul C. Knox, Simon P. Harding, Ruwanthi Kolamunnage-Dona, Gabriela Czanner:
Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema. 114-126
Fetal Imaging
- Arijit Patra, J. Alison Noble:
Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps. 129-141 - Baidaa Al-Bander, Theiab Alzahrani, Saeed Alzahrani, Bryan M. Williams, Yalin Zheng:
Improving Fetal Head Contour Detection by Object Localisation with Deep Learning. 142-150 - Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete:
Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks. 151-163 - Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete:
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound. 164-173 - Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T. Papageorghiou, J. Alison Noble:
Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction. 174-186
Enhancement and Reconstruction
- Dongxu Gao, Numan Celik, Xiyin Wu, Bryan M. Williams, Amira Stylianides, Yalin Zheng:
A Novel Deep Learning Based OCTA De-striping Method. 189-197 - Liam Burrows, Weihong Guo, Ke Chen, Francesco Torella:
Edge Enhancement for Image Segmentation Using a RKHS Method. 198-207 - Samiha Rouf, Chenyang Shen, Yan Cao, Conner Davis, Xun Jia, Yifei Lou:
A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection. 208-219 - Varakorn Kidsumran, Yalin Zheng:
Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced Image. 220-227
Diagnosis, Classification and Treatment
- Abdullah Alfahaid, Tim Morris, Tim Cootes, Pearse A. Keane, Hagar Khalid, Nikolas Pontikos, Panagiotis I. Sergouniotis, Konstantinos Balaskas:
A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images. 231-241 - Muhammad Naseer Bajwa, Yoshinobu Taniguchi, Muhammad Imran Malik, Wolfgang Neumeier, Andreas Dengel, Sheraz Ahmed:
Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection. 242-253
Vessel and Nerve Analysis
- Astrid M. E. Engberg, Jesper H. Erichsen, Birgit Sander, Line Kessel, Anders B. Dahl, Vedrana Andersen Dahl:
Automated Quantification of Retinal Microvasculature from OCT Angiography Using Dictionary-Based Vessel Segmentation. 257-269 - Elisabeth Kugler, Timothy Chico, Paul A. Armitage:
Validating Segmentation of the Zebrafish Vasculature. 270-281 - José Bernal, Maria del C. Valdés Hernández, Javier Escudero, Paul A. Armitage, Stephen D. Makin, Rhian M. Touyz, Joanna M. Wardlaw:
Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease. 282-293 - Zonghan Wu, Baochang Zhang, Jun Yang, Na Li, Shoujun Zhou:
Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton. 294-301
Image Registration
- Adela Ademaj, Lavdie Rada, Mazlinda Ibrahim, Ke Chen:
A Variational Joint Segmentation and Registration Framework for Multimodal Images. 305-316 - Anis Theljani, Ke Chen:
An Unsupervised Deep Learning Method for Diffeomorphic Mono-and Multi-modal Image Registration. 317-326 - Nathan Sjoquist, Tristan Barrett, David Thurtle, Vincent J. Gnanapragasam, Ken Poole, Graham M. Treece:
Automatic Detection and Visualisation of Metastatic Bone Disease. 327-338 - Peng Xue, Enqing Dong, Huizhong Ji:
High-Order Markov Random Field Based Image Registration for Pulmonary CT. 339-350
Image Segmentation
- Albert Comelli, Alessandro Stefano:
A Fully Automated Segmentation System of Positron Emission Tomography Studies. 353-363 - Alexander Oliver Mader, Cristian Lorenz, Carsten Meyer:
A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images. 364-376 - Yun Bo Guo, Bogdan J. Matuszewski:
Polyp Segmentation with Fully Convolutional Deep Dilation Neural Network. 377-388
Ophthalmic Imaging
- Maximilian Bryan, Gerhard Heyer, Nathanael Philipp, Matus Rehak, Peter Wiedemann:
Convolutional Attention on Images for Locating Macular Edema. 391-398 - Peter Robert Wakeford, Enrico Pellegrini, Gavin Robertson, Michael Verhoek, Alan D. Fleming, Jano I. van Hemert, Ik Siong Heng:
Optic Disc and Fovea Localisation in Ultra-widefield Scanning Laser Ophthalmoscope Images Captured in Multiple Modalities. 399-410 - Sören Klemm, Robin D. Ortkemper, Xiaoyi Jiang:
Deploying Deep Learning into Practice: A Case Study on Fundus Segmentation. 411-422 - Xiyin Wu, Dongxu Gao, Bryan M. Williams, Amira Stylianides, Yalin Zheng, Zhong Jin:
Joint Destriping and Segmentation of OCTA Images. 423-435
Posters
- Xu Chen, Melissa Leak, Simon P. Harding, Yalin Zheng:
AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy. 439-449 - Jingyi Zhang, Yong Xia, Yanning Zhang:
An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs. 450-458 - Kun Zhao, Hui Zhang, Yitian Zhao, Jianyang Xie, Yalin Zheng, David Borroni, Hong Qi, Jiang Liu:
Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor. 459-469 - José Alonso Solís-Lemus, Besaid J. Sánchez-Sánchez, Stefania Marcotti, Mubarik Burki, Brian Stramer, Constantino Carlos Reyes-Aldasoro:
Comparison of Interactions Between Control and Mutant Macrophages. 470-477 - James Owler, Ben Irving, Ged Ridgway, Marta Wojciechowska, John McGonigle, Michael Brady:
Comparison of Multi-atlas Segmentation and U-Net Approaches for Automated 3D Liver Delineation in MRI. 478-488 - Joshua Bridge, Simon P. Harding, Yalin Zheng:
DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images. 489-496 - Neda Azarmehr, Xujiong Ye, Stefania Sacchi, James P. Howard, Darrel P. Francis, Massoud Zolgharni:
Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning. 497-504
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