| Título : |
24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part IV |
| Tipo de documento: |
documento electrónico |
| Autores: |
de Bruijne, Marleen, ; Cattin, Philippe C., ; Cotin, Stéphane, ; Padoy, Nicolas, ; Speidel, Stefanie, ; Zheng, Yefeng, ; Essert, Caroline, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XXXVII, 682 p. 8 ilustraciones |
| ISBN/ISSN/DL: |
978-3-030-87202-1 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Visión por computador Inteligencia artificial Sistemas de reconocimiento de patrones Bioinformática Informática Médica Reconocimiento de patrones automatizado Biología Computacional y de Sistemas Informática de la Salud |
| Índice Dewey: |
006.37 Visión artificial |
| Resumen: |
El conjunto de ocho volúmenes LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907 y 12908 constituye las actas arbitradas de la 24.ª Conferencia Internacional sobre Computación de Imágenes Médicas e Intervención Asistida por Computadora, MICCAI 2021, celebrada en Estrasburgo, Francia. en septiembre/octubre de 2021.* Los 531 artículos completos revisados presentados fueron cuidadosamente revisados y seleccionados entre 1630 presentaciones en un proceso de revisión doble ciego. Los artículos están organizados en las siguientes secciones temáticas: Parte I: segmentación de imágenes Parte II: aprendizaje automático - aprendizaje autosupervisado; aprendizaje automático: aprendizaje semisupervisado; y aprendizaje automático: aprendizaje débilmente supervisado. Parte III: aprendizaje automático: avances en la teoría del aprendizaje automático; aprendizaje automático: modelos de atención; aprendizaje automático: adaptación de dominios; aprendizaje automático: aprendizaje federado; aprendizaje automático: interpretabilidad / explicabilidad; y aprendizaje automático - incertidumbre Parte IV: registro de imágenes; intervenciones y cirugía guiadas por imágenes; ciencia de datos quirúrgicos; planificación y simulación quirúrgica; análisis de habilidades quirúrgicas y flujo de trabajo; y visualización quirúrgica y realidad mixta, aumentada y virtual. Parte V: diagnóstico asistido por ordenador; integración de imágenes con biomarcadores sin imágenes; y predicción de resultados/enfermedades. Parte VI: reconstrucción de imágenes; aplicaciones clínicas - cardíacas; y aplicaciones clínicas - vasculares Parte VII: aplicaciones clínicas - abdomen; aplicaciones clínicas - mama; aplicaciones clínicas - dermatología; aplicaciones clínicas: imágenes fetales; aplicaciones clínicas - pulmón; aplicaciones clínicas - neuroimagen - desarrollo cerebral; aplicaciones clínicas - neuroimagen - DWI y tractografía; aplicaciones clínicas - neuroimagen - redes cerebrales funcionales; aplicaciones clínicas - neuroimagen - otras; y aplicaciones clínicas - oncología Parte VIII: aplicaciones clínicas - oftalmología; patología computacional (integrativa); modalidades - microscopía; modalidades - histopatología; y modalidades - ultrasonido *La conferencia se realizó de manera virtual. |
| Nota de contenido: |
Image 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. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part IV [documento electrónico] / de Bruijne, Marleen, ; Cattin, Philippe C., ; Cotin, Stéphane, ; Padoy, Nicolas, ; Speidel, Stefanie, ; Zheng, Yefeng, ; Essert, Caroline, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXXVII, 682 p. 8 ilustraciones. ISBN : 978-3-030-87202-1 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Visión por computador Inteligencia artificial Sistemas de reconocimiento de patrones Bioinformática Informática Médica Reconocimiento de patrones automatizado Biología Computacional y de Sistemas Informática de la Salud |
| Índice Dewey: |
006.37 Visión artificial |
| Resumen: |
El conjunto de ocho volúmenes LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907 y 12908 constituye las actas arbitradas de la 24.ª Conferencia Internacional sobre Computación de Imágenes Médicas e Intervención Asistida por Computadora, MICCAI 2021, celebrada en Estrasburgo, Francia. en septiembre/octubre de 2021.* Los 531 artículos completos revisados presentados fueron cuidadosamente revisados y seleccionados entre 1630 presentaciones en un proceso de revisión doble ciego. Los artículos están organizados en las siguientes secciones temáticas: Parte I: segmentación de imágenes Parte II: aprendizaje automático - aprendizaje autosupervisado; aprendizaje automático: aprendizaje semisupervisado; y aprendizaje automático: aprendizaje débilmente supervisado. Parte III: aprendizaje automático: avances en la teoría del aprendizaje automático; aprendizaje automático: modelos de atención; aprendizaje automático: adaptación de dominios; aprendizaje automático: aprendizaje federado; aprendizaje automático: interpretabilidad / explicabilidad; y aprendizaje automático - incertidumbre Parte IV: registro de imágenes; intervenciones y cirugía guiadas por imágenes; ciencia de datos quirúrgicos; planificación y simulación quirúrgica; análisis de habilidades quirúrgicas y flujo de trabajo; y visualización quirúrgica y realidad mixta, aumentada y virtual. Parte V: diagnóstico asistido por ordenador; integración de imágenes con biomarcadores sin imágenes; y predicción de resultados/enfermedades. Parte VI: reconstrucción de imágenes; aplicaciones clínicas - cardíacas; y aplicaciones clínicas - vasculares Parte VII: aplicaciones clínicas - abdomen; aplicaciones clínicas - mama; aplicaciones clínicas - dermatología; aplicaciones clínicas: imágenes fetales; aplicaciones clínicas - pulmón; aplicaciones clínicas - neuroimagen - desarrollo cerebral; aplicaciones clínicas - neuroimagen - DWI y tractografía; aplicaciones clínicas - neuroimagen - redes cerebrales funcionales; aplicaciones clínicas - neuroimagen - otras; y aplicaciones clínicas - oncología Parte VIII: aplicaciones clínicas - oftalmología; patología computacional (integrativa); modalidades - microscopía; modalidades - histopatología; y modalidades - ultrasonido *La conferencia se realizó de manera virtual. |
| Nota de contenido: |
Image 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. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |