Biomedical Image Registration: 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1–2, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12120
Editat de Žiga Špiclin, Jamie McClelland, Jan Kybic, Orcun Gokselen Limba Engleză Paperback – 5 iun 2020
The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion.
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Specificații
ISBN-13: 9783030501198
ISBN-10: 3030501191
Pagini: 176
Ilustrații: X, 176 p. 70 illus., 44 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
ISBN-10: 3030501191
Pagini: 176
Ilustrații: X, 176 p. 70 illus., 44 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
Cuprins
Registration Initialization and Acceleration.- Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem.- Learning-based Affine Registration of Histological Images.- Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series.- Towards Segmentation and Spatial Alignment of the Human Embryonic Brain using Deep Learning for Atlas-based Registration.- Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy.- Interventional Registration.- Multilevel 2D-3D Intensity-based Image Registration.- Towards Automated Spine Mobility Quantification: a Locally Rigid CT to X-ray Registration Framework.- Landmark based Registration.- Reinforced Redetection of Landmark in Pre- and Post-Operative Brain Scan using Anatomical Guidance for Image Alignment.- Deep Volumetric Feature Encoding for Biomedical Images.- Multi-Channel Registration.- Multi-Channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-Decoder Network.- Multi-Channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain.- An Image Registration-based Method for EPI Distortion Correction based on Opposite Phase Encoding (COPE).- Diffusion Tensor driven Image registration: a Deep Learning Approach.- Multimodal MRI Template Creation in the Ring-Tailed Lemur and Rhesus Macaque.- Sliding Motion.- An Unsupervised Learning Approach to Discontinuity-preserving Image Registration.- An Image Registration Framework for Discontinuous Mappings along Cracks.