001440049 000__ 10122cam\a2200661\i\4500
001440049 001__ 1440049
001440049 003__ OCoLC
001440049 005__ 20230309004538.0
001440049 006__ m\\\\\o\\d\\\\\\\\
001440049 007__ cr\cn\nnnunnun
001440049 008__ 211001s2021\\\\sz\a\\\\o\\\\\101\0\eng\d
001440049 020__ $$a9783030872311$$q(electronic bk.)
001440049 020__ $$a3030872319$$q(electronic bk.)
001440049 020__ $$z9783030872304
001440049 0247_ $$a10.1007/978-3-030-87231-1$$2doi
001440049 035__ $$aSP(OCoLC)1272883793
001440049 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001440049 049__ $$aISEA
001440049 050_4 $$aRC78.7.D53$$bI58 2021
001440049 08204 $$a616.07/54$$223
001440049 1112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(24th :$$d2021 :$$cOnline)
001440049 24510 $$aMedical image computing and computer assisted intervention - MICCAI 2021 :$$b24th international conference, Strasbourg, France, September 27-October 1, 2021 : proceedings.$$nPart VI /$$cMarleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert (eds.).
001440049 24630 $$aMICCAI 2021
001440049 264_1 $$aCham :$$bSpringer,$$c[2021]
001440049 264_4 $$c©2021
001440049 300__ $$a1 online resource (xxxvi, 626 pages) :$$billustrations (chiefly color)
001440049 336__ $$atext$$btxt$$2rdacontent
001440049 337__ $$acomputer$$bc$$2rdamedia
001440049 338__ $$aonline resource$$bcr$$2rdacarrier
001440049 4901_ $$aLecture notes in computer science ;$$v12906
001440049 4901_ $$aLNCS sublibrary: SL6 - Image processing, computer vision, pattern recognition, and graphics
001440049 500__ $$aInternational conference proceedings.
001440049 500__ $$aIncludes author index.
001440049 5050_ $$aImage Reconstruction -- Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images -- Over-and-Under Complete Convolutional RNN for MRI Reconstruction -- TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation -- Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network -- Generalised Super Resolution for Quantitative MRI Using Self-Supervised Mixture of Experts -- TransCT: Dual-path Transformer for Low Dose Computed Tomography -- IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation -- DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images -- Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation -- Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction -- InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction -- Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos -- Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy -- Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network -- Generator Versus Segmentor: Pseudo-healthy Synthesis -- Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting -- Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose -- RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing -- Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values -- Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction -- Universal Undersampled MRI Reconstruction -- A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer -- Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction -- Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction -- Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution -- Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds -- 3D Transformer-GAN for High-quality PET Reconstruction -- Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction -- U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction -- Task Transformer Network for Joint MRI Reconstruction and Super-Resolution -- Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation -- Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections -- Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law -- Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization -- Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling -- High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction -- Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework -- Acceleration by deep-learnt sharing of superfluous information in multi-contrast MRI -- Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks -- A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging -- Interpretable deep learning for multimodal super-resolution of medical images -- MRI Super-Resolution Through Generative Degradation Learning -- Task-Oriented Low-Dose CT Image Denoising -- Revisiting contour-driven and knowledge-based deformable models: application to 2D-3D proximal femur reconstruction from X-ray images -- Memory-efficient Learning for High-dimensional MRI Reconstruction -- SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation -- Clinical Applications -- Cardiac -- Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves -- Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation -- EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis -- Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries -- Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views -- Phase-independent Latent Representation for Cardiac Shape Analysis -- Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network -- AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs -- TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline -- Clinical Applications -- Vascular -- Deep Open Snake Tracker for Vessel Tracing -- MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures -- Vessel Width Estimation via Convolutional Regression -- Renal Cell Carcinoma Classification from Vascular Morphology.
001440049 506__ $$aAccess limited to authorized users.
001440049 520__ $$aThe eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.
001440049 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 1, 2021).
001440049 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
001440049 650_6 $$aImagerie pour le diagnostic$$xInformatique$$vCongrès.
001440049 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001440049 655_7 $$aConference papers and proceedings.$$2lcgft
001440049 655_7 $$aActes de congrès.$$2rvmgf
001440049 655_0 $$aElectronic books.
001440049 7001_ $$aBruijne, Marleen de,$$eeditor.
001440049 7001_ $$aCattin, Philippe,$$eeditor.
001440049 7001_ $$aCotin, Stéphane,$$eeditor.
001440049 7001_ $$aPadoy, Nicolas,$$eeditor.
001440049 7001_ $$aSpeidel, Stefanie,$$eeditor.
001440049 7001_ $$aZheng, Yefeng,$$d1975-$$eeditor.
001440049 7001_ $$aEssert, Caroline,$$eeditor.
001440049 830_0 $$aLecture notes in computer science ;$$v12906.
001440049 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
001440049 852__ $$bebk
001440049 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87231-1$$zOnline Access$$91397441.1
001440049 909CO $$ooai:library.usi.edu:1440049$$pGLOBAL_SET
001440049 980__ $$aBIB
001440049 980__ $$aEBOOK
001440049 982__ $$aEbook
001440049 983__ $$aOnline
001440049 994__ $$a92$$bISE