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020 _a9783030595203
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024 7 _a10.1007/978-3-030-59520-3
_2doi
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245 1 0 _aSimulation and Synthesis in Medical Imaging
_h[electronic resource] :
_b5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings /
_cedited by Ninon Burgos, David Svoboda, Jelmer M. Wolterink, Can Zhao.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aX, 196 p. 107 illus., 61 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
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347 _atext file
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12417
505 0 _aContrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis -- 3D Brain MRI GAN-based Synthesis Conditioned on Partial Volume Maps -- Synthesizing Realistic Brain MR Images With Noise Control -- Simulated Diffusion Weighted Images Based on Model-Predicted Tumor Growth -- Blind MRI Brain Lesion Inpainting Using Deep Learning -- High-Quality Interpolation of Breast DCE-MRI Using Learned Transformations -- A Method for Tumor Treating Fields Fast Estimation -- Heterogeneous Virtual Population of Simulated CMR Images for Improving the Generalization of Cardiac Segmentation Algorithms -- DyeFreeNet: Deep Virtual Contrast CT Synthesis -- A Gaussian Process Model Based Generative Framework for Data Augmentation of Multi-modal 3D Image Volumes -- Frequency-selective Learning for CT to MR Synthesis -- Uncertainty-aware Multi-resolution Whole-body MR to CT Synthesis -- UltraGAN: Ultrasound Enhancement Through Adversarial Generation -- Improving Endoscopic Decision Support Systems byTranslating Between Imaging Modalities -- An Unsupervised Adversarial Learning Approach to Fundus Fluorescein Angiography Image Synthesis for Leakage Detection -- Towards Automatic Embryo Staging in 3D+t Microscopy Images Using Convolutional Neural Networks and PointNets -- Train Small, Generate Big: Synthesis of Colorectal Cancer Histology Images -- Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis -- Auditory Nerve Fiber Health Estimation Using Patient Specific Cochlear Implant Stimulation Models.
520 _aThis book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The 19 full papers presented were carefully reviewed and selected from 27 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement or segmentation.
650 0 _aComputer vision.
650 0 _aMachine learning.
650 0 _aPattern recognition systems.
650 0 _aEducation
_xData processing.
650 0 _aSocial sciences
_xData processing.
650 0 _aComputer science
_xMathematics.
650 1 4 _aComputer Vision.
650 2 4 _aMachine Learning.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aComputers and Education.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
650 2 4 _aMathematics of Computing.
700 1 _aBurgos, Ninon.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSvoboda, David.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWolterink, Jelmer M.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aZhao, Can.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030595197
776 0 8 _iPrinted edition:
_z9783030595210
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12417
856 4 0 _uhttps://doi.org/10.1007/978-3-030-59520-3
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