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001			978-3-030-59520-3
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020			_a9783030595203 _9978-3-030-59520-3
024	7		_a10.1007/978-3-030-59520-3 _2doi
050		4	_aTA1634
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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 _2rdacarrier
347			_atext file _bPDF _2rda
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. _9115016
650		0	_aMachine learning. _91831
650		0	_aPattern recognition systems. _93953
650		0	_aEducation _xData processing. _982607
650		0	_aSocial sciences _xData processing. _983360
650		0	_aComputer science _xMathematics. _93866
650	1	4	_aComputer Vision. _9115017
650	2	4	_aMachine Learning. _91831
650	2	4	_aAutomated Pattern Recognition. _931568
650	2	4	_aComputers and Education. _941129
650	2	4	_aComputer Application in Social and Behavioral Sciences. _931815
650	2	4	_aMathematics of Computing. _931875
700	1		_aBurgos, Ninon. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9115018
700	1		_aSvoboda, David. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9115019
700	1		_aWolterink, Jelmer M. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9115020
700	1		_aZhao, Can. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9115021
710	2		_aSpringerLink (Online service) _9115022
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 _9115023
856	4	0	_uhttps://doi.org/10.1007/978-3-030-59520-3
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