000915837 000__ 05635cam\a2200589Ii\4500 000915837 001__ 915837 000915837 005__ 20230306150508.0 000915837 006__ m\\\\\o\\d\\\\\\\\ 000915837 007__ cr\cn\nnnunnun 000915837 008__ 191015s2019\\\\sz\\\\\\o\\\\\101\0\eng\d 000915837 020__ $$a9783030322519$$q(electronic book) 000915837 020__ $$a3030322513$$q(electronic book) 000915837 020__ $$z9783030322502 000915837 0247_ $$a10.1007/978-3-030-32251-9$$2doi 000915837 035__ $$aSP(OCoLC)on1123174815 000915837 035__ $$aSP(OCoLC)1123174815 000915837 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKMGB$$dLQU$$dEBLCP$$dOCLCF 000915837 049__ $$aISEA 000915837 050_4 $$aRC78.7.D53 000915837 08204 $$a616.07/57$$223 000915837 1112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(22nd :$$d2019 :$$cShenzhen Shi, China) 000915837 24510 $$aMedical image computing and computer assisted intervention -- MICCAI 2019 :$$b22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings.$$nPart IV /$$cDinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.). 000915837 2463_ $$aMICCAI 2019 000915837 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019. 000915837 300__ $$a1 online resource (xxxviiiI, 809 pages). 000915837 336__ $$atext$$btxt$$2rdacontent 000915837 337__ $$acomputer$$bc$$2rdamedia 000915837 338__ $$aonline resource$$bcr$$2rdacarrier 000915837 4901_ $$aLecture notes in computer science ;$$v11767 000915837 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics 000915837 500__ $$aInternational conference proceedings. 000915837 500__ $$aIncludes author index. 000915837 5050_ $$aHesis onse Estimation through Spatially Oriented Neural Network and Texture Ensemble (RESONATE) -- STructural Rectal Atlas Deformation (StRAD) features for characterizing intra- and peri-wall chemoradiation response on MRI -- Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis -- Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis -- Dynamic Spectral Convolution Networks with Assistant Task Training for Early MCI diagnosis -- Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework -- Global and Local Interpretability for Cardiac MRI Classification -- Let's agree to disagree: learning highly debatable multirater labelling -- Coidentifciation of group-level hole structures in brain networks via Hodge Laplacian -- Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers -- Image Reconstruction and Synthesis -- Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space -- Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI -- VS-Net: Variable spitting network for accelerated parallel MRI reconstruction -- A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning -- A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging -- Consensus Neural Network for Medical Image Denoising with Only Noisy Training Samples -- Consistent Brain Ageing Synthesis -- Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data -- Arterial Spin Labeling Images Synthesis via Locally-constrained WGAN-GP Ensemble -- SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis -- Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI -- DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synt. 000915837 506__ $$aAccess limited to authorized users. 000915837 520__ $$aThe six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging. 000915837 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 15, 2019). 000915837 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses. 000915837 650_0 $$aComputer-assisted surgery$$vCongresses. 000915837 7001_ $$aShen, Dinggang,$$eeditor. 000915837 7001_ $$aLiu, Tianming,$$cDr.,$$eeditor. 000915837 7001_ $$aPeters, Terry M.,$$d1948 January 5-$$eeditor. 000915837 7001_ $$aStaib, Lawrence,$$eeditor. 000915837 7001_ $$aEssert, Caroline,$$eeditor. 000915837 7001_ $$aZhou, Xiangyun Sean,$$eeditor. 000915837 7001_ $$aYap, Pew-Thian,$$eeditor. 000915837 7001_ $$aKhan, Ali,$$eeditor. 000915837 830_0 $$aLecture notes in computer science ;$$v11767. 000915837 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics. 000915837 852__ $$bebk 000915837 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-32251-9$$zOnline Access$$91397441.1 000915837 909CO $$ooai:library.usi.edu:915837$$pGLOBAL_SET 000915837 980__ $$aEBOOK 000915837 980__ $$aBIB 000915837 982__ $$aEbook 000915837 983__ $$aOnline 000915837 994__ $$a92$$bISE