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ORCIDMIUA 2020: Oxford, UK
- Bartlomiej W. Papiez
, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble:
Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings. Communications in Computer and Information Science 1248, Springer 2020, ISBN 978-3-030-52790-7
Image Segmentation
- Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong, Peter Adriaensens, Otto S. Hoekstra, Ronald Boellaard:
Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PET Images. 3-14 - Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete:
Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation. 15-25 - Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug:
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema. 26-42 - Andreas Stefani, Roushanak Rahmat, David Harris-Birtill:
Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation. 43-55 - Madeleine K. Wyburd, Mark Jenkinson, Ana I. L. Namburete:
Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound. 56-68 - Linde S. Hesse, Ana I. L. Namburete:
Improving U-Net Segmentation with Active Contour Based Label Correction. 69-81 - Nora Vogt, Michael Brady, Ged Ridgway, John Connell, Ana I. L. Namburete:
Segmenting Hepatocellular Carcinoma in Multi-phase CT. 82-92 - Liam Burrows, Ke Chen, Francesco Torella:
On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images. 93-104 - George P. Ralli, Gerard R. Ridgway, Michael Brady:
Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signal. 105-117 - Jack Weatheritt, Daniel Rueckert, Robin Wolz:
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations. 118-130 - Alexandre Triay Bagur, Ged Ridgway, John McGonigle, Michael Brady, Daniel Bulte:
Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Study. 131-142 - Merve Zeybel, Yusuf Sinan Akgul:
Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN Based Shortest Path Algorithm. 143-154 - Andrew Torr, Doga Basaran, Julia Sero, Jens Rittscher, Heba Sailem:
DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks. 155-167
Image registration, reconstruction and enhancement
- José Bernal, Maria del C. Valdés Hernández, Lucia Ballerini, Javier Escudero, Angela C. C. Jochems, Una Clancy, Fergus N. Doubal, Michael S. Stringer, Michael J. Thrippleton, Rhian M. Touyz, Joanna M. Wardlaw:
A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging. 171-183 - Mikael Brudfors, Yaël Balbastre, John Ashburner:
Groupwise Multimodal Image Registration Using Joint Total Variation. 184-194 - Essa R. Anas, Ahmed Onsy, Bogdan J. Matuszewski:
CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN. 195-207 - Roshan Reddy Upendra, Richard A. Simon, Cristian A. Linte:
A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Using Convolutional Neural Networks. 208-220 - Andrew D. Moyes, Kun Zhang, Ming Ji, Huiyu Zhou, Danny Crookes:
Unsupervised Deep Learning for Stain Separation and Artifact Detection in Histopathology Images. 221-234 - Claire L. Walsh, Natalie Holroyd, Rebecca Shipley, Simon Walker-Samuel:
Asymmetric Point Spread Function Estimation and Deconvolution for Serial-Sectioning Block-Face Imaging. 235-249
Radiomics, Predictive Models, and Quantitative Imaging Biomarkers
- Anish Raj, Oliver Mothes, Sven Sickert, Gerd Fabian Volk, Orlando Guntinas-Lichius, Joachim Denzler:
Automatic and Objective Facial Palsy Grading Index Prediction Using Deep Feature Regression. 253-266 - Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi:
Prediction of Thrombectomy Functional Outcomes Using Multimodal Data. 267-279 - Albert Comelli, Alessandro Stefano, Claudia Coronnello, Giorgio Russo, Federica Vernuccio, Roberto Cannella, Giuseppe Salvaggio, Roberto Lagalla, Stefano Barone:
Radiomics: A New Biomedical Workflow to Create a Predictive Model. 280-293 - Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. 294-306 - Zhen Tang, Sasan Mahmoodi, Srinandan Dasmahapatra, Angela Darekar, Brigitte Vollmer:
Ridge Detection and Analysis of Susceptibility-Weighted Magnetic Resonance Imaging in Neonatal Hypoxic-Ischaemic Encephalopathy. 307-318 - Kwun Ho Ngan, Artur S. d'Avila Garcez, Karen M. Knapp, Andy Appelboam, Constantino Carlos Reyes-Aldasoro:
A Machine Learning Approach for Colles' Fracture Treatment Diagnosis. 319-330 - Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala:
A Lightweight CNN and Joint Shape-Joint Space (JS2) Descriptor for Radiological Osteoarthritis Detection. 331-345 - Claire Tang:
Discovering Unknown Diseases with Explainable Automated Medical Imaging. 346-358 - Kola Babalola, Hamed Haseli Mashhadi, Violeta Muñoz-Fuentes, Jeremy C. Mason, Terry Meehan:
Investigating Sex Related Phenotype Changes in Knockout Mice by Applying Deep Learning to X-Ray Images. 359-369
Ocular Imaging Analysis
- Andrea Peroni, Carlo A. Cutolo, Luís Abegão Pinto, Anna Paviotti, Mauro Campigotto, Caroline Cobb, Jacintha Gong, Sirjhun Patel, Andrew Tatham, Stewart Gillan, Emanuele Trucco:
A Deep Learning Approach for Semantic Segmentation of Gonioscopic Images to Support Glaucoma Categorization. 373-386 - Chadi Helwe, Shady Elbassuoni, Ahmad R. Dhaini, Lily Chacra, Shady Awwad:
A Deep Learning Approach to Detect the Demarcation Line in OCT Images. 387-399 - Lucia Ballerini, Ahmed E. Fetit, Stephan Wunderlich, Ruggiero Lovreglio, Sarah McGrory, Maria del Carmen Valdés Hernández, Tom J. MacGillivray, Fergus Doubal, Ian J. Deary, Joanna M. Wardlaw, Emanuele Trucco:
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. 400-409 - Biswajit Pathak, Laura Young, Hannah E. Smithson:
Simultaneous Optimisation of Confocal and Non-confocal Images in an AOSLO with a Reconfigurable Aperture Pattern. 410-419
Biomedical Simulation and Modelling
- Cesare Magnetti, Veronika A. M. Zimmer, Nooshin Ghavami, Emily Skelton, Jacqueline Matthew, Karen Lloyd, Joseph V. Hajnal, Julia A. Schnabel, Alberto Gómez:
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. 423-435 - John P. Chiverton, Alexander Kao, Marta Roldo, Gianluca Tozzi:
Volumetric Simulation of Nano-Fibres and 2D SEM and 3D XCT Imaging Processes. 436-445
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