Machine Learning for Medical Image Reconstruction: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings: Lecture Notes in Computer Science, cartea 12964
Editat de Nandinee Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yooen Limba Engleză Paperback – 30 sep 2021
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Specificații
ISBN-13: 9783030885519
ISBN-10: 3030885518
Pagini: 142
Ilustrații: VIII, 142 p. 53 illus., 37 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.22 kg
Ediția:1st ed. 2021
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: 3030885518
Pagini: 142
Ilustrații: VIII, 142 p. 53 illus., 37 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.22 kg
Ediția:1st ed. 2021
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
Deep Learning for Magnetic Resonance Imaging.- HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks.- Efficient Image Registration Network For Non-Rigid Cardiac Motion Estimation.- Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge.- Self-Supervised Dynamic MRI Reconstruction.- A Simulation Pipeline to Generate Realistic Breast Images For Learning DCE-MRI Reconstruction.- Deep MRI Reconstruction with Generative Vision Transformers.- Distortion Removal and Deblurring of Single-Shot DWI MRI Scans.- One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline.- Physics-informed self-supervised deep learning reconstruction for accelerated rst-pass perfusion cardiac MRI.- Deep Learning for General Image Reconstruction.- Noise2Stack: Improving Image Restoration by Learning from Volumetric Data.- Real-time Video Denoising in Fluoroscopic Imaging.- A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution.- Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks.