001440045 000__ 10848cam\a2200661\i\4500 001440045 001__ 1440045 001440045 003__ OCoLC 001440045 005__ 20230309004538.0 001440045 006__ m\\\\\o\\d\\\\\\\\ 001440045 007__ cr\cn\nnnunnun 001440045 008__ 211001s2021\\\\sz\a\\\\o\\\\\101\0\eng\d 001440045 020__ $$a9783030872021$$q(electronic bk.) 001440045 020__ $$a3030872025$$q(electronic bk.) 001440045 020__ $$z9783030872014 001440045 0247_ $$a10.1007/978-3-030-87202-1$$2doi 001440045 035__ $$aSP(OCoLC)1272864129 001440045 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ 001440045 049__ $$aISEA 001440045 050_4 $$aRC78.7.D53$$bI58 2021 001440045 08204 $$a616.07/54$$223 001440045 1112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(24th :$$d2021 :$$cOnline) 001440045 24510 $$aMedical image computing and computer assisted intervention - MICCAI 2021 :$$b24th international conference, Strasbourg, France, September 27-October 1, 2021 : proceedings.$$nPart IV /$$cMarleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert (eds.). 001440045 24630 $$aMICCAI 2021 001440045 264_1 $$aCham :$$bSpringer,$$c[2021] 001440045 264_4 $$c©2021 001440045 300__ $$a1 online resource (xxxvii, 682 pages) :$$billustrations 001440045 336__ $$atext$$btxt$$2rdacontent 001440045 337__ $$acomputer$$bc$$2rdamedia 001440045 338__ $$aonline resource$$bcr$$2rdacarrier 001440045 4901_ $$aLecture notes in computer science ;$$v12904 001440045 4901_ $$aLNCS sublibrary: SL6 - Image processing, computer vision, pattern recognition, and graphics 001440045 500__ $$aInternational conference proceedings. 001440045 500__ $$aIncludes author index. 001440045 5050_ $$aImage Registration -- Medical Image Registration Based on Uncoupled Learning and Accumulative Enhancement -- Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks -- Learning Unsupervised Parameter-specific Affine Transformation for Medical Images Registration -- Conditional Deformable Image Registration with Convolutional Neural Network -- A Deep Discontinuity-Preserving Image Registration Network -- End-to-end Ultrasound Frame to Volume Registration -- Cross-modal Attention for MRI and Ultrasound Volume Registration -- Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization -- SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings -- Weakly Supervised Registration of Prostate MRI and Histopathology Images -- 4D-CBCT Registration with a FBCT-derived Plug-and-Play Feasibility Regularizer -- Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling -- Learning Dual Transformer Network for Diffeomorphic Registration -- Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning -- Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration -- Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence -- A Deep Network for Joint Registration and Parcellation of Cortical Surfaces -- 4D-Foot: A fully automated pipeline of four-dimensional analysis of the foot bones using bi-plane X-ray video and CT -- Equivariant Filters for Efficient Tracking in 3D Imaging -- Revisiting iterative highly efficient optimisation schemes in medical image registration -- Multi-scale Neural ODEs for 3D Medical Image Registration -- Image-Guided Interventions and Surgery -- Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images -- Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy -- Multimodal Sensing Guidewire for C-arm Navigation with Random UV Enhanced Optical Sensors using Spatio-temporal Networks -- Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image -- Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation -- Real-Time Rotated Convolutional Descriptor for Surgical Environments -- Surgical Instruction Generation with Transformers -- Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation -- 2.5D Thermometry Maps for MRI-guided Tumor Ablation -- Detection of critical structures in laparoscopic cholecystectomy using label relaxation and self-supervision -- EMDQ-SLAM: Real-time High-resolution Reconstruction of Soft Tissue Surface from Stereo Laparoscopy Videos -- Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video -- C-arm positioning for spinal standard projections in different intra-operative settings -- Quantitative Assessments for Ultrasound Probe Calibration -- Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation -- Deep Iterative 2D/3D Registration -- hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries -- Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data -- Surgical Data Science -- E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception -- CataNet: Predicting remaining cataract surgery duration -- Task Fingerprinting for Meta Learning in Biomedical Image Analysis -- Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants -- Surgical Planning and Simulation -- Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning -- A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning -- DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models -- Personalized CT Organ Dose Estimation from Scout Images -- High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs -- Effective semantic segmentation in Cataract surgery: What matters most? -- Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection -- Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning -- A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation -- Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations -- Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery -- Improving hexahedral-FEM-based plasticity in surgery simulation -- Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN -- Surgical Skill and Work Flow Analysis -- Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer -- OperA: Attention-Regularized Transformers for Surgical Phase Recognition -- Surgical Workflow Anticipation using Instrument Interaction -- Multi-View Surgical Video Action Detection via Mixed Global View Attention -- Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator -- Surgical Visualization and Mixed, Augmented and Virtual Reality -- Image-based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery -- Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery -- SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance. 001440045 506__ $$aAccess limited to authorized users. 001440045 520__ $$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. 001440045 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 1, 2021). 001440045 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses. 001440045 650_6 $$aImagerie pour le diagnostic$$xInformatique$$vCongrès. 001440045 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001440045 655_7 $$aConference papers and proceedings.$$2lcgft 001440045 655_7 $$aActes de congrès.$$2rvmgf 001440045 655_0 $$aElectronic books. 001440045 7001_ $$aBruijne, Marleen de,$$eeditor. 001440045 7001_ $$aCattin, Philippe,$$eeditor. 001440045 7001_ $$aCotin, Stéphane,$$eeditor. 001440045 7001_ $$aPadoy, Nicolas,$$eeditor. 001440045 7001_ $$aSpeidel, Stefanie,$$eeditor. 001440045 7001_ $$aZheng, Yefeng,$$d1975-$$eeditor. 001440045 7001_ $$aEssert, Caroline,$$eeditor. 001440045 830_0 $$aLecture notes in computer science ;$$v12904. 001440045 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics. 001440045 852__ $$bebk 001440045 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87202-1$$zOnline Access$$91397441.1 001440045 909CO $$ooai:library.usi.edu:1440045$$pGLOBAL_SET 001440045 980__ $$aBIB 001440045 980__ $$aEBOOK 001440045 982__ $$aEbook 001440045 983__ $$aOnline 001440045 994__ $$a92$$bISE