LEADER 04164nam 22006615 450 001 9910747597003321 005 20231006073328.0 010 $a3-031-44689-5 024 7 $a10.1007/978-3-031-44689-4 035 $a(MiAaPQ)EBC30774823 035 $a(Au-PeEL)EBL30774823 035 $a(DE-He213)978-3-031-44689-4 035 $a(PPN)272913731 035 $a(CKB)28478158400041 035 $a(EXLCZ)9928478158400041 100 $a20231006d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSimulation and Synthesis in Medical Imaging $e8th International Workshop, SASHIMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /$fedited by Jelmer M. Wolterink, David Svoboda, Can Zhao, Virginia Fernandez 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (151 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14288 311 08$aPrint version: Wolterink, Jelmer M. Simulation and Synthesis in Medical Imaging Cham : Springer,c2023 9783031446887 327 $aTransformers for CT Reconstruction From Monoplanar and Biplanar Radiographs Super-resolution Segmentation network for inner-ear tissue segmentation -- Multi-Phase Liver-Specific DCE-MRI Translation via a Registration-Guided GAN -- Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI Physics-Aware Motion Simulation for T2*-Weighted Brain MRI -- Unsupervised heteromodal physics-informed representation of MRI data: tackling data harmonisation, imputation and domain shift -- TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction -- How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis -- Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry -- Digital Pathology using Deep Generative Models Self-Supervised Super-Resolution for Anisotropic MR Images with and without Slice Gap DIFF·3: A latent diffusion model for the generation of synthetic 3D echocardiographic images and corresponding labels. 330 $aThis book constitutes the refereed proceedings of the 8th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. The 13 full papers included in this book were carefully reviewed and selected from 16 submissions. They span a wide range of topics relevant to SASHIMI, and reflect recent developments in methods for segmentation, image-to-image translation, super-resolution, and image synthesis. Applications include MRI imaging, echocardiography, PET, and digital pathology. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14288 606 $aComputer vision 606 $aArtificial intelligence 606 $aEducation$xData processing 606 $aApplication software 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aComputers and Education 606 $aComputer and Information Systems Applications 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aEducation$xData processing. 615 0$aApplication software. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aComputers and Education. 615 24$aComputer and Information Systems Applications. 676 $a006.37 700 $aWolterink$b Jelmer M$01431817 701 $aSvoboda$b David$01431818 701 $aZhao$b Can$01431819 701 $aFernandez$b Virginia$01431820 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910747597003321 996 $aSimulation and Synthesis in Medical Imaging$93574678 997 $aUNINA