Groupwise Multimodal Image Registration Using Joint Total Variation

Groupwise Multimodal Image Registration Using Joint Total Variation

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:MIUA (24. : 2020 : Oxford) Medical image understanding and analysis
1. Verfasser: Brudfors, Mikael (VerfasserIn)
Weitere Verfasser: Balbastre, Yaël (VerfasserIn), Ashburner, John (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Groupwise Multimodal Image Registration Using Joint Total Variation 2020 Brudfors, Mikael
Textural Feature Based Segmentation: A Repeatable and Accurate Segmentation Approach for Tumors in PET Images 2020 Pfaehler, Elisabeth
CT Scan Registration with 3D Dense Motion Field Estimation Using LSGAN 2020 Anas, Essa R.
Automatic and Objective Facial Palsy Grading Index Prediction Using Deep Feature Regression 2020 Raj, Anish
Radiomics: A New Biomedical Workflow to Create a Predictive Model 2020 Comelli, Albert
Simultaneous Optimisation of Confocal and Non-confocal Images in an AOSLO with a Reconfigurable Aperture Pattern 2020 Pathak, Biswajit
Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time 2020 Magnetti, Cesare
DeepSplit: Segmentation of Microscopy Images Using Multi-task Convolutional Networks 2020 Torr, Andrew
Localization and Identification of Lumbar Intervertebral Discs on Spine MR Images with Faster RCNN Based Shortest Path Algorithm 2020 Zeybel, Merve
Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation 2020 Dinsdale, Nicola K.
Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound 2020 Wyburd, Madeleine K.
On New Convolutional Neural Network Based Algorithms for Selective Segmentation of Images 2020 Burrows, Liam
Semantic Segmentation of Histopathological Slides for the Classification of Cutaneous Lymphoma and Eczema 2020 Scheurer, Jérémy
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 2020 Bernal, Jose
Discovering Unknown Diseases with Explainable Automated Medical Imaging 2020 Tang, Claire
A Deep Learning Approach to Detect the Demarcation Line in OCT Images 2020 Helwe, Chadi
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features 2020 Lu, Ping
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population 2020 Ballerini, Lucia
Investigating Sex Related Phenotype Changes in Knockout Mice by Applying Deep Learning to X-Ray Images 2020 Babalola, Kola
A Deep Learning Approach for Semantic Segmentation of Gonioscopic Images to Support Glaucoma Categorization 2020 Peroni, Andrea
Alle Artikel auflisten