Biomedical image registration 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1-2, 2020, Proceedings /: 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1-2, 2020, Proceedings. (2020)

• Record Type: Book
• Other Titles: WBIR 2020
• Further Information: Note: Žiga Špiclin, Jamie McClelland, Jan Kybic, Orcun Goksel (Eds.).
• Other Names: Špiclin, Žiga; McClelland, Jamie; Kybic, Jan; Goksel, Orcun; WBIR (Workshop : 2006- ), 9th
• Contents: Intro -- Preface -- Organization -- Contents -- Registration Initialization and Acceleration -- Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem -- 1 Introduction -- 2 Methods -- 2.1 Streamline Correspondence -- 2.2 Linear Assignment Problem -- 2.3 Large-Scale Approximation -- 3 Experiments -- 3.1 Comparison -- 3.2 Results -- 4 Discussion and Conclusions -- References -- Learning-Based Affine Registration of Histological Images -- 1 Introduction -- 2 Methods -- 2.1 General Aspects -- 2.2 Preprocessing -- 2.3 Affine Registration -- 3 Results 4 Discussion and Conclusion -- References -- Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series -- 1 Introduction -- 2 Method -- 3 Application and Results -- 4 Discussion -- References -- Towards Segmentation and Spatial Alignment of the Human Embryonic Brain Using Deep Learning for Atlas-Based Registration -- 1 Introduction -- 2 Method -- 2.1 Network Architecture -- 2.2 The Loss Function -- 3 Data -- 3.1 Synthetic 2D Dataset 1 -- 3.2 Synthetic 2D Dataset 2 -- 3.3 3D Ultrasound Data: Rotterdam Periconceptional Cohort -- 4 Experiments -- 4.1 Evaluation 5 Results -- 6 Conclusion -- References -- Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy -- 1 Introduction -- 2 Method -- 2.1 Registration Types by Input -- 2.2 Loss Function -- 2.3 Network Architecture -- 3 Experiments -- 4 Results -- 5 Conclusion -- References -- Interventional Registration -- Multilevel 2D-3D Intensity-Based Image Registration -- 1 Introduction -- 2 Methods -- 2.1 Digitally Reconstructed Radiographs (DRRs) -- 2.2 Intensity-Based 2D-3D Image Registration -- 2.3 Multilevel Strategy -- 3 Experiments and Evaluation 3.1 Clinical Database -- 3.2 Evaluation Parameters -- 3.3 Experiments -- 4 Discussion -- References -- Towards Automated Spine Mobility Quantification: A Locally Rigid CTpg to X-ray Registration Framework -- 1 Introduction -- 2 Methods -- 2.1 Registration Framework -- 2.2 Poly-rigid Transformation Model -- 2.3 Weight Map Computation -- 2.4 Regularisation -- 3 Experiments -- 4 Results -- 5 Discussion -- References -- Landmark Based Registration -- Reinforced Redetection of Landmarkpg in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment -- 1 Introduction 2 Deep Reinforcement Learning Using Q-Learning -- 3 Anatomically Guided RL Agent -- 4 Experimental Setup -- 5 Results -- 6 Conclusion -- References -- Deep Volumetric Feature Encoding for Biomedical Images -- 1 Introduction -- 2 Methods -- 2.1 Network 1: 3D VGG-19 -- No Training -- 2.2 Network 2: Transfer Learning from 2D VGG-19 to Pseudo-3D VGG-19 -- 2.3 Network 3: Direct 3D VGG Learning of Pseudo-3D VGG-19 Activations -- 2.4 Network 5: Direct 3D ResNet Learning of Pseudo-3D VGG-19 Activations -- 2.5 Network 5: Pre-trained ResNet Network
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (178 p.)
• Subjects: 006.6; Image registration -- Congresses; Imaging systems in medicine -- Congresses; Artificial intelligence; Pattern recognition; Information technology: general issues; Computer networking & communications; Image processing; Computers -- Intelligence (AI) & Semantics; Computers -- Computer Vision & Pattern Recognition; Computers -- Data Processing; Computers -- Networking -- General; Computers -- Social Aspects -- Human-Computer Interaction; Computers -- Computer Graphics; Image registration; Imaging systems in medicine; Electronic books; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030501204; 3030501205
• Related ISBNs: 9783030501198; 3030501191
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