default search action
MIUA 2020: Oxford, UK
- Bartlomiej W. Papiez
, Ana I. L. Namburete
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
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
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
Improving U-Net Segmentation with Active Contour Based Label Correction. 69-81 - Nora Vogt, Michael Brady, Ged Ridgway, John Connell
Segmenting Hepatocellular Carcinoma in Multi-phase CT. 82-92 - Liam Burrows, Ke Chen
On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images. 93-104 - George P. Ralli
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
Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Study. 131-142 - Merve Zeybel
Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN Based Shortest Path Algorithm. 143-154 - Andrew Torr, Berke Doga Basaran
DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks. 155-167
Image registration, reconstruction and enhancement
- José Bernal
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
Groupwise Multimodal Image Registration Using Joint Total Variation. 184-194 - Essa R. Anas, Ahmed Onsy
CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN. 195-207 - Roshan Reddy Upendra
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
Asymmetric Point Spread Function Estimation and Deconvolution for Serial-Sectioning Block-Face Imaging. 235-249
Radiomics, Predictive Models, and Quantitative Imaging Biomarkers
- Anish Raj
Automatic and Objective Facial Palsy Grading Index Prediction Using Deep Feature Regression. 253-266 - Zeynel A. Samak
Prediction of Thrombectomy Functional Outcomes Using Multimodal Data. 267-279 - Albert Comelli
Radiomics: A New Biomedical Workflow to Create a Predictive Model. 280-293 - Ping Lu
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. 294-306 - Zhen Tang, Sasan Mahmoodi, Srinandan Dasmahapatra
Ridge Detection and Analysis of Susceptibility-Weighted Magnetic Resonance Imaging in Neonatal Hypoxic-Ischaemic Encephalopathy. 307-318 - Kwun Ho Ngan
A Machine Learning Approach for Colles' Fracture Treatment Diagnosis. 319-330 - Neslihan Bayramoglu, Miika T. Nieminen
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
Investigating Sex Related Phenotype Changes in Knockout Mice by Applying Deep Learning to X-Ray Images. 359-369
Ocular Imaging Analysis
- Andrea Peroni
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
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. 400-409 - Biswajit Pathak
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
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. 423-435 - John P. Chiverton
Volumetric Simulation of Nano-Fibres and 2D SEM and 3D XCT Imaging Processes. 436-445
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-18 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: