LEADER 02900nam 22006735 450 001 996589545403316 005 20240319162418.0 010 $a3-031-55630-5 024 7 $a10.1007/978-3-031-55630-2 035 $a(MiAaPQ)EBC31222008 035 $a(Au-PeEL)EBL31222008 035 $a(DE-He213)978-3-031-55630-2 035 $a(EXLCZ)9930995701600041 100 $a20240319d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInductive Logic Programming$b[electronic resource] $e31st International Conference, ILP 2022, Windsor Great Park, UK, September 28?30, 2022, Proceedings /$fedited by Stephen H. Muggleton, Alireza Tamaddoni-Nezhad 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (167 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13779 311 $a3-031-55629-1 330 $aThis book constitutes the refereed proceedings of the 31st International Conference on Inductive Logic Programming, ILP 2022, held during September 28-30, 2022. The 11 regular papers presented in this book were carefully reviewed and selected from 26 submissions The papers in these proceedings represent the diversity and vitality in present ILP research, including statistical relational learning, transfer learning, scientific reasoning, learning temporal models, synthesis and planning, and argumentation and language. . 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13779 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aCompilers (Computer programs) 606 $aComputer science 606 $aMachine theory 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 606 $aCompilers and Interpreters 606 $aComputer Science Logic and Foundations of Programming 606 $aFormal Languages and Automata Theory 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aCompilers (Computer programs). 615 0$aComputer science. 615 0$aMachine theory. 615 14$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 615 24$aCompilers and Interpreters. 615 24$aComputer Science Logic and Foundations of Programming. 615 24$aFormal Languages and Automata Theory. 676 $a006.3 700 $aMuggleton$b Stephen H$01640713 701 $aTamaddoni-Nezhad$b Alireza$01733568 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996589545403316 996 $aInductive Logic Programming$94149385 997 $aUNISA LEADER 04269nam 22006495 450 001 9910502631703321 005 20251107152703.0 010 $a3-030-87592-X 024 7 $a10.1007/978-3-030-87592-3 035 $a(CKB)4940000000612716 035 $a(MiAaPQ)EBC6730649 035 $a(Au-PeEL)EBL6730649 035 $a(OCoLC)1268984750 035 $a(PPN)258051914 035 $a(DE-He213)978-3-030-87592-3 035 $a(EXLCZ)994940000000612716 100 $a20210919d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSimulation and Synthesis in Medical Imaging $e6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /$fedited by David Svoboda, Ninon Burgos, Jelmer M. Wolterink, Can Zhao 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (162 pages) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12965 300 $aIncludes index. 311 08$a3-030-87591-1 327 $aMethod-Oriented Papers -- Detail matters: high-frequency content for realistic synthetic brain MRI generation -- Joint Image and Label Self-Super-Resolution -- Super-resolution by Latent Space Exploration: Training with Poorly-aligned Clinical and Micro CT Image Dataset -- A Glimpse into the Future: Disease Progression Simulation for Breast Cancer in Mammograms -- Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images -- Learning-based Template Synthesis For Groupwise Image Registration -- The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties -- Transfer Learning in Optical Microscopy -- X-ray synthesis based on triangular mesh models using GPU-accelerated ray tracing for multi-modal breast image registration -- Application-Oriented Papers -- Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks -- SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus Image -- Cerebral Blood Volume Prediction based on Multi-modality Magnetic Resonance Imaging -- Cine-MRI simulation to evaluate tumor tracking -- GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models. 330 $aThis book constitutes the refereed proceedings of the 6th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.* The 14 full papers presented were carefully reviewed and selected from 18 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/ microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement, or segmentation. *The workshop was held virtually. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12965 606 $aComputer vision 606 $aArtificial intelligence 606 $aPattern recognition systems 606 $aBioinformatics 606 $aComputer Vision 606 $aArtificial Intelligence 606 $aAutomated Pattern Recognition 606 $aComputational and Systems Biology 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aPattern recognition systems. 615 0$aBioinformatics. 615 14$aComputer Vision. 615 24$aArtificial Intelligence. 615 24$aAutomated Pattern Recognition. 615 24$aComputational and Systems Biology. 676 $a616.0754 702 $aSvoboda$b David 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502631703321 996 $aSimulation and Synthesis in Medical Imaging$92916762 997 $aUNINA