Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings [1st ed.] 9783030527907, 9783030527914

Table of contents :
Front Matter ....Pages i-xiv
Front Matter ....Pages 1-1
Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PET Images (Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong et al.)....Pages 3-14
Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation (Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete)....Pages 15-25
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema (Jérémy Scheurer, Claudio Ferrari, Luis Berenguer Todo Bom, Michaela Beer, Werner Kempf, Luis Haug)....Pages 26-42
Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation (Andreas Stefani, Roushanak Rahmat, David Harris-Birtill)....Pages 43-55
Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound (Madeleine K. Wyburd, Mark Jenkinson, Ana I. L. Namburete)....Pages 56-68
Improving U-Net Segmentation with Active Contour Based Label Correction (Linde S. Hesse, Ana I. L. Namburete)....Pages 69-81
Segmenting Hepatocellular Carcinoma in Multi-phase CT (Nora Vogt, Sir Michael Brady, Ged Ridgway, John Connell, Ana I. L. Namburete)....Pages 82-92
On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images (Liam Burrows, Ke Chen, Francesco Torella)....Pages 93-104
Segmentation of the Biliary Tree from MRCP Images via the Monogenic Signal (George P. Ralli, Gerard R. Ridgway, Sir Michael Brady)....Pages 105-117
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations (Jack Weatheritt, Daniel Rueckert, Robin Wolz)....Pages 118-130
Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Study (Alexandre Triay Bagur, Ged Ridgway, John McGonigle, Sir Michael Brady, Daniel Bulte)....Pages 131-142
Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN Based Shortest Path Algorithm (Merve Zeybel, Yusuf Sinan Akgul)....Pages 143-154
DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks (Andrew Torr, Doga Basaran, Julia Sero, Jens Rittscher, Heba Sailem)....Pages 155-167
Front Matter ....Pages 169-169
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 (Jose Bernal, Maria Valdés-Hernández, Lucia Ballerini, Javier Escudero, Angela C. C. Jochems, Una Clancy et al.)....Pages 171-183
Groupwise Multimodal Image Registration Using Joint Total Variation (Mikael Brudfors, Yaël Balbastre, John Ashburner)....Pages 184-194
CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN (Essa R. Anas, Ahmed Onsy, Bogdan J. Matuszewski)....Pages 195-207
A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Using Convolutional Neural Networks (Roshan Reddy Upendra, Richard Simon, Cristian A. Linte)....Pages 208-220
Unsupervised Deep Learning for Stain Separation and Artifact Detection in Histopathology Images (Andrew Moyes, Kun Zhang, Ming Ji, Huiyu Zhou, Danny Crookes)....Pages 221-234
Asymmetric Point Spread Function Estimation and Deconvolution for Serial-Sectioning Block-Face Imaging (Claire Walsh, Natalie Holroyd, Rebecca Shipley, Simon Walker-Samuel)....Pages 235-249
Front Matter ....Pages 251-251
Automatic and Objective Facial Palsy Grading Index Prediction Using Deep Feature Regression (Anish Raj, Oliver Mothes, Sven Sickert, Gerd Fabian Volk, Orlando Guntinas-Lichius, Joachim Denzler)....Pages 253-266
Prediction of Thrombectomy Functional Outcomes Using Multimodal Data (Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi)....Pages 267-279
Radiomics: A New Biomedical Workflow to Create a Predictive Model (Albert Comelli, Alessandro Stefano, Claudia Coronnello, Giorgio Russo, Federica Vernuccio, Roberto Cannella et al.)....Pages 280-293
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features (Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble)....Pages 294-306
Ridge Detection and Analysis of Susceptibility-Weighted Magnetic Resonance Imaging in Neonatal Hypoxic-Ischaemic Encephalopathy (Zhen Tang, Sasan Mahmoodi, Srinandan Dasmahapatra, Angela Darekar, Brigitte Vollmer)....Pages 307-318
A Machine Learning Approach for Colles’ Fracture Treatment Diagnosis (Kwun Ho Ngan, Artur d’Avila Garcez, Karen M. Knapp, Andy Appelboam, Constantino Carlos Reyes-Aldasoro)....Pages 319-330
A Lightweight CNN and Joint Shape-Joint Space (\(JS^2\)) Descriptor for Radiological Osteoarthritis Detection (Neslihan Bayramoglu, Miika T. Nieminen, Simo Saarakkala)....Pages 331-345
Discovering Unknown Diseases with Explainable Automated Medical Imaging (Claire Tang)....Pages 346-358
Investigating Sex Related Phenotype Changes in Knockout Mice by Applying Deep Learning to X-Ray Images (Kola Babalola, Hamed Haseli Mashhadi, Violeta Muñoz-Fuentes, Jeremy Mason, Terry Meehan, On Behalf of the International Mouse Phenotyping Consortium)....Pages 359-369
Front Matter ....Pages 371-371
A Deep Learning Approach for Semantic Segmentation of Gonioscopic Images to Support Glaucoma Categorization (Andrea Peroni, Carlo A. Cutolo, Luis A. Pinto, Anna Paviotti, Mauro Campigotto, Caroline Cobb et al.)....Pages 373-386
A Deep Learning Approach to Detect the Demarcation Line in OCT Images (Chadi Helwe, Shady Elbassuoni, Ahmad Dhaini, Lily Chacra, Shady Awwad)....Pages 387-399
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population (Lucia Ballerini, Ahmed E. Fetit, Stephan Wunderlich, Ruggiero Lovreglio, Sarah McGrory, Maria Valdes-Hernandez et al.)....Pages 400-409
Simultaneous Optimisation of Confocal and Non-confocal Images in an AOSLO with a Reconfigurable Aperture Pattern (Biswajit Pathak, Laura Young, Hannah Smithson)....Pages 410-419
Front Matter ....Pages 421-421
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time (Cesare Magnetti, Veronika Zimmer, Nooshin Ghavami, Emily Skelton, Jacqueline Matthew, Karen Lloyd et al.)....Pages 423-435
Volumetric Simulation of Nano-Fibres and 2D SEM and 3D XCT Imaging Processes (John P. Chiverton, Alexander Kao, Marta Roldo, Gianluca Tozzi)....Pages 436-445
Back Matter ....Pages 447-448