LEADER 03792nam 2200505 450 001 996418303503316 005 20210219231119.0 010 $a3-030-59520-X 024 7 $a10.1007/978-3-030-59520-3 035 $a(CKB)4100000011469615 035 $a(MiAaPQ)EBC6355973 035 $a(DE-He213)978-3-030-59520-3 035 $a(PPN)250220792 035 $a(EXLCZ)994100000011469615 100 $a20210219d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSimulation and synthesis in medical imaging $e5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings /$fNinon Burgos [and three others] (editors) 205 $a1st ed. 2020. 210 1$aCham, Switzerland :$cSpringer,$d[2020] 210 4$dİ2020 215 $a1 online resource (X, 196 p. 107 illus., 61 illus. in color.) 225 1 $aLecture Notes in Computer Science ;$v12417 311 $a3-030-59519-6 327 $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 by Translating 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. 330 $aThis book constitutes the refereed proceedings of the 5th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The 19 full papers presented were carefully reviewed and selected from 27 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement or segmentation. 410 0$aLecture notes in computer science ;$v12417. 606 $aDiagnostic imaging$vCongresses 606 $aOptical data processing 606 $aMachine learning 615 0$aDiagnostic imaging 615 0$aOptical data processing. 615 0$aMachine learning. 676 $a616.0754 702 $aBurgos$b Ninon 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418303503316 996 $aSimulation and Synthesis in Medical Imaging$92569254 997 $aUNISA