Información del autor
Autor Aylward, Stephen |
Documentos disponibles escritos por este autor (5)
Crear una solicitud de compra Refinar búsquedaImaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound / Cardoso, M. Jorge ; Arbel, Tal ; Tavares, João Manuel RS ; Aylward, Stephen ; Li, Shuo ; Boctor, Emad ; Fichtinger, Gabor ; Cleary, Kevin ; Freeman, Bradley ; Kohli, Luv ; Shipley Kane, Deborah ; Oetgen, Matt ; Pujol, Sonja
TÃtulo : Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound : International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings Tipo de documento: documento electrónico Autores: Cardoso, M. Jorge, ; Arbel, Tal, ; Tavares, João Manuel RS, ; Aylward, Stephen, ; Li, Shuo, ; Boctor, Emad, ; Fichtinger, Gabor, ; Cleary, Kevin, ; Freeman, Bradley, ; Kohli, Luv, ; Shipley Kane, Deborah, ; Oetgen, Matt, ; Pujol, Sonja, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XV, 164 p. 99 ilustraciones ISBN/ISSN/DL: 978-3-319-67552-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Redes de comunicación informática Visión por computador Informática Médica Red informática Procesamiento de datos Informática de la Salud MinerÃa de datos y descubrimiento de conocimientos Clasificación: 006.37 Resumen: Este libro constituye las actas conjuntas arbitradas del Taller internacional sobre bioimagen y visualización para simulaciones personalizadas para pacientes, BIVPCS 2017, y el Taller internacional sobre ultrasonido en el punto de atención, POCUS 2017, celebrado junto con la 20.ª Conferencia internacional sobre Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, en la ciudad de Québec, QC, Canadá, en septiembre de 2017. Los 12 artÃculos completos presentados en BIVPCS 2017 y los 7 artÃculos completos presentados en POCUS 2017 fueron cuidadosamente revisados ​​y seleccionados. Los artÃculos presentan investigaciones de campos complementarios como el procesamiento de señales e imágenes, la mecánica, la visión computacional, las matemáticas, la fÃsica, la informática, la infografÃa, la práctica biomédica, la psicologÃa y la industria, asà como las aplicaciones de los sistemas de imágenes por ultrasonido. . Tipo de medio : Computadora Summary : This book constitutes the refereed joint proceedings of the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, and the International Workshop on Point-of-Care Ultrasound, POCUS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 12 full papers presented at BIVPCS 2017 and the 7 full papers presented at POCUS 2017 were carefully reviewed and selected. The papers feature research from complementary fields such as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry as well as ultrasound image systems applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound : International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings [documento electrónico] / Cardoso, M. Jorge, ; Arbel, Tal, ; Tavares, João Manuel RS, ; Aylward, Stephen, ; Li, Shuo, ; Boctor, Emad, ; Fichtinger, Gabor, ; Cleary, Kevin, ; Freeman, Bradley, ; Kohli, Luv, ; Shipley Kane, Deborah, ; Oetgen, Matt, ; Pujol, Sonja, . - 1 ed. . - [s.l.] : Springer, 2017 . - XV, 164 p. 99 ilustraciones.
ISBN : 978-3-319-67552-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Redes de comunicación informática Visión por computador Informática Médica Red informática Procesamiento de datos Informática de la Salud MinerÃa de datos y descubrimiento de conocimientos Clasificación: 006.37 Resumen: Este libro constituye las actas conjuntas arbitradas del Taller internacional sobre bioimagen y visualización para simulaciones personalizadas para pacientes, BIVPCS 2017, y el Taller internacional sobre ultrasonido en el punto de atención, POCUS 2017, celebrado junto con la 20.ª Conferencia internacional sobre Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, en la ciudad de Québec, QC, Canadá, en septiembre de 2017. Los 12 artÃculos completos presentados en BIVPCS 2017 y los 7 artÃculos completos presentados en POCUS 2017 fueron cuidadosamente revisados ​​y seleccionados. Los artÃculos presentan investigaciones de campos complementarios como el procesamiento de señales e imágenes, la mecánica, la visión computacional, las matemáticas, la fÃsica, la informática, la infografÃa, la práctica biomédica, la psicologÃa y la industria, asà como las aplicaciones de los sistemas de imágenes por ultrasonido. . Tipo de medio : Computadora Summary : This book constitutes the refereed joint proceedings of the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, and the International Workshop on Point-of-Care Ultrasound, POCUS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 12 full papers presented at BIVPCS 2017 and the 7 full papers presented at POCUS 2017 were carefully reviewed and selected. The papers feature research from complementary fields such as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry as well as ultrasound image systems applications. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Information Processing in Medical Imaging : 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings Tipo de documento: documento electrónico Autores: Niethammer, Marc, ; Styner, Martin, ; Aylward, Stephen, ; Zhu, Hongtu, ; Oguz, Ipek, ; Yap, Pew-Thian, ; Shen, Dinggang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XVI, 687 p. 285 ilustraciones ISBN/ISSN/DL: 978-3-319-59050-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Informática de la Salud Inteligencia artificial Reconocimiento de patrones automatizado Visión por computador Mathematical statistics Matemáticas RadiologÃa Informática Médica Sistemas de reconocimiento de patrones Informática Probabilidad y EstadÃstica en Informática Clasificación: 006.37 Resumen: Este libro constituye las actas de la 25.ª Conferencia Internacional sobre Procesamiento de Información en Imágenes Médicas, IPMI 2017, celebrada en la Appalachian State University, Boon, Carolina del Norte, EE. UU., en junio de 2017. Los 53 artÃculos completos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados. de 147 presentaciones. Se organizaron en secciones temáticas denominadas: análisis de variedades; análisis de forma; diagnóstico/progresión de la enfermedad; redes cerebrales y conectividad; imágenes de difusión; imágenes cuantitativas; genómica de imágenes; registro de imagen; segmentación; Análisis general de imágenes. Nota de contenido: Analysis on manifolds -- Shape analysis -- Disease diagnosis/progression -- Brain networks an connectivity -- Diffusion imaging -- Quantitative imaging -- Imaging genomics -- Image registration -- Segmentation -- General image analysis. <. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017. The 53 full papers presented in this volume were carefully reviewed and selected from 147 submissions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagnosis/progression; brain networks an connectivity; diffusion imaging; quantitative imaging; imaging genomics; image registration; segmentation; general image analysis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Information Processing in Medical Imaging : 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings [documento electrónico] / Niethammer, Marc, ; Styner, Martin, ; Aylward, Stephen, ; Zhu, Hongtu, ; Oguz, Ipek, ; Yap, Pew-Thian, ; Shen, Dinggang, . - 1 ed. . - [s.l.] : Springer, 2017 . - XVI, 687 p. 285 ilustraciones.
ISBN : 978-3-319-59050-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Informática de la Salud Inteligencia artificial Reconocimiento de patrones automatizado Visión por computador Mathematical statistics Matemáticas RadiologÃa Informática Médica Sistemas de reconocimiento de patrones Informática Probabilidad y EstadÃstica en Informática Clasificación: 006.37 Resumen: Este libro constituye las actas de la 25.ª Conferencia Internacional sobre Procesamiento de Información en Imágenes Médicas, IPMI 2017, celebrada en la Appalachian State University, Boon, Carolina del Norte, EE. UU., en junio de 2017. Los 53 artÃculos completos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados. de 147 presentaciones. Se organizaron en secciones temáticas denominadas: análisis de variedades; análisis de forma; diagnóstico/progresión de la enfermedad; redes cerebrales y conectividad; imágenes de difusión; imágenes cuantitativas; genómica de imágenes; registro de imagen; segmentación; Análisis general de imágenes. Nota de contenido: Analysis on manifolds -- Shape analysis -- Disease diagnosis/progression -- Brain networks an connectivity -- Diffusion imaging -- Quantitative imaging -- Imaging genomics -- Image registration -- Segmentation -- General image analysis. <. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017. The 53 full papers presented in this volume were carefully reviewed and selected from 147 submissions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagnosis/progression; brain networks an connectivity; diffusion imaging; quantitative imaging; imaging genomics; image registration; segmentation; general image analysis. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis : First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings Tipo de documento: documento electrónico Autores: Hu, Yipeng, ; Licandro, Roxane, ; Noble, J. Alison, ; Hutter, Jana, ; Aylward, Stephen, ; Melbourne, Andrew, ; Abaci Turk, Esra, ; Torrents Barrena, Jordina, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 345 p. 188 ilustraciones, 116 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-60334-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de imágenes Visión por computador Ciencias sociales Red de computadoras Software de la aplicacion Imágenes por computadora visión reconocimiento de patrones y gráficos Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Redes de comunicación informática Aplicaciones informáticas y de sistemas de información Clasificación: 6 Resumen: Este libro constituye las actas del Primer Taller Internacional sobre Avances en la Simplificación del UltraSound Médico, ASMUS 2020, y el 5to Taller Internacional sobre Análisis de Imágenes Perinatales, Prematuros y Pediátricas, PIPPI 2020, celebrado junto con MICCAI 2020, la 23a Conferencia Internacional sobre Medicina. Computación de la Imagen e Intervención Asistida por Computadora. La conferencia estaba prevista para realizarse en Lima, Perú, pero cambió a un evento en lÃnea debido a la pandemia de coronavirus. Para ASMUS 2020, se aceptaron 19 contribuciones de 26 presentaciones; Las 14 contribuciones del taller de PIPPI fueron cuidadosamente revisadas y seleccionadas entre 21 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: diagnóstico y medición; segmentación, subtÃtulos y mejora; localización y orientación; robótica y evaluación de habilidades, y PIPPI 2020. Nota de contenido: Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis -- Calibrated Bayesian neural networks to estimate gestational age and its uncertainty on fetal brain ultrasound images -- Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound -- Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients -- Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis -- Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks -- Embedding Weighted Feature Aggregation Network with Domain Knowledge Integration for Breast Ultrasound Image Segmentation -- A Curriculum Learning Based Approach to Captioning Ultrasound Images -- Deep Image Translation for Enhancing Simulated Ultrasound Images -- Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction -- Augmented Reality-Based Lung Ultrasound Scanning Guidance -- Multimodality Biomedical Image Registration using Free Point Transformer Networks -- Label Efficient Localization of Fetal Brain Biometry Planes In Ultrasound Through Metric Learning -- Automatic C-plane detection in pelvic oor transperineal volumetric ultrasound -- Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment -- Dual-Robotic Ultrasound System for In Vivo Prostate Tomography -- IoT-based Remote Control Study of a Robotic Trans-esophageal Ultrasound Probe via LAN and 5G -- Differentiating Operator Skill during Routine Fetal Ultrasound Scanning using Probe Motion Tracking -- Kinematics Data Representations for Skills Assessment in Ultrasound-Guided Needle Insertion -- 3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network -- Atlas-based segmentation of the human embryo using deep learning with minimal supervision -- Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI -- A Smartphone-based System for Real-time Early Childhood Caries Diagnosis -- Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening -- Harmonised segmentation of neonatal brain MRI: a domain adaptation approach -- A multi-task approach using positional information for ultrasound placenta segmentation -- Spontaneous preterm birth prediction using convolutional neural networks -- Multi-Modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images -- Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labels -- Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions -- Brain volume and neuropsychological differences in extremely preterm adolescents -- Automatic Detection of Neonatal Brain Injury on MRI -- Unbiased atlas construction for neonatal cortical surfaces via unsupervised learning. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the First International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Lima, Peru, but changed to an online event due to the Coronavirus pandemic. For ASMUS 2020, 19 contributions were accepted from 26 submissions; the 14 contributions from the PIPPI workshop were carefully reviewed and selected from 21 submissions. The papers were organized in topical sections named: diagnosis and measurement; segmentation, captioning and enhancement; localisation and guidance; robotics and skill assessment, and PIPPI 2020. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis : First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings [documento electrónico] / Hu, Yipeng, ; Licandro, Roxane, ; Noble, J. Alison, ; Hutter, Jana, ; Aylward, Stephen, ; Melbourne, Andrew, ; Abaci Turk, Esra, ; Torrents Barrena, Jordina, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 345 p. 188 ilustraciones, 116 ilustraciones en color.
ISBN : 978-3-030-60334-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de imágenes Visión por computador Ciencias sociales Red de computadoras Software de la aplicacion Imágenes por computadora visión reconocimiento de patrones y gráficos Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Redes de comunicación informática Aplicaciones informáticas y de sistemas de información Clasificación: 6 Resumen: Este libro constituye las actas del Primer Taller Internacional sobre Avances en la Simplificación del UltraSound Médico, ASMUS 2020, y el 5to Taller Internacional sobre Análisis de Imágenes Perinatales, Prematuros y Pediátricas, PIPPI 2020, celebrado junto con MICCAI 2020, la 23a Conferencia Internacional sobre Medicina. Computación de la Imagen e Intervención Asistida por Computadora. La conferencia estaba prevista para realizarse en Lima, Perú, pero cambió a un evento en lÃnea debido a la pandemia de coronavirus. Para ASMUS 2020, se aceptaron 19 contribuciones de 26 presentaciones; Las 14 contribuciones del taller de PIPPI fueron cuidadosamente revisadas y seleccionadas entre 21 presentaciones. Los artÃculos se organizaron en secciones temáticas denominadas: diagnóstico y medición; segmentación, subtÃtulos y mejora; localización y orientación; robótica y evaluación de habilidades, y PIPPI 2020. Nota de contenido: Remote Intelligent Assisted Diagnosis System for Hepatic Echinococcosis -- Calibrated Bayesian neural networks to estimate gestational age and its uncertainty on fetal brain ultrasound images -- Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound -- Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients -- Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis -- Guidewire Segmentation in 4D Ultrasound Sequences Using Recurrent Fully Convolutional Networks -- Embedding Weighted Feature Aggregation Network with Domain Knowledge Integration for Breast Ultrasound Image Segmentation -- A Curriculum Learning Based Approach to Captioning Ultrasound Images -- Deep Image Translation for Enhancing Simulated Ultrasound Images -- Localizing 2D Ultrasound Probe from Ultrasound Image Sequences Using Deep Learning for Volume Reconstruction -- Augmented Reality-Based Lung Ultrasound Scanning Guidance -- Multimodality Biomedical Image Registration using Free Point Transformer Networks -- Label Efficient Localization of Fetal Brain Biometry Planes In Ultrasound Through Metric Learning -- Automatic C-plane detection in pelvic oor transperineal volumetric ultrasound -- Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment -- Dual-Robotic Ultrasound System for In Vivo Prostate Tomography -- IoT-based Remote Control Study of a Robotic Trans-esophageal Ultrasound Probe via LAN and 5G -- Differentiating Operator Skill during Routine Fetal Ultrasound Scanning using Probe Motion Tracking -- Kinematics Data Representations for Skills Assessment in Ultrasound-Guided Needle Insertion -- 3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network -- Atlas-based segmentation of the human embryo using deep learning with minimal supervision -- Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI -- A Smartphone-based System for Real-time Early Childhood Caries Diagnosis -- Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening -- Harmonised segmentation of neonatal brain MRI: a domain adaptation approach -- A multi-task approach using positional information for ultrasound placenta segmentation -- Spontaneous preterm birth prediction using convolutional neural networks -- Multi-Modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images -- Efficient multi-class fetal brain segmentation in high resolution MRI reconstructions with noisy labels -- Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions -- Brain volume and neuropsychological differences in extremely preterm adolescents -- Automatic Detection of Neonatal Brain Injury on MRI -- Unbiased atlas construction for neonatal cortical surfaces via unsupervised learning. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the First International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Lima, Peru, but changed to an online event due to the Coronavirus pandemic. For ASMUS 2020, 19 contributions were accepted from 26 submissions; the 14 contributions from the PIPPI workshop were carefully reviewed and selected from 21 submissions. The papers were organized in topical sections named: diagnosis and measurement; segmentation, captioning and enhancement; localisation and guidance; robotics and skill assessment, and PIPPI 2020. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Simplifying Medical Ultrasound : Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings Tipo de documento: documento electrónico Autores: Noble, J. Alison, ; Aylward, Stephen, ; Grimwood, Alexander, ; Min, Zhe, ; Lee, Su-Lin, ; Hu, Yipeng, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIII, 230 p. 77 ilustraciones, 64 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-87583-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de imágenes Visión por computador Inteligencia artificial Bioinformática Imágenes por computadora visión reconocimiento de patrones y gráficos BiologÃa Computacional y de Sistemas Clasificación: 6 Resumen: Este libro constituye las actas del Segundo Taller Internacional sobre Avances en la Simplificación de la UltrasonografÃa Médica, ASMUS 2021, celebrado el 27 de septiembre de 2021, junto con MICCAI 2021, la 24.ª Conferencia Internacional sobre Computación de Imágenes Médicas e Intervención Asistida por Computadora. La conferencia estaba prevista para celebrarse en Estrasburgo, Francia, pero se cambió a un evento en lÃnea debido a la pandemia de coronavirus. Los 22 artÃculos presentados en este libro fueron cuidadosamente revisados ​​y seleccionados de 30 presentaciones. Se organizaron en secciones temáticas de la siguiente manera: segmentación y detección; registro, guÃa y robótica; clasificación y sÃntesis de imágenes; y evaluación de la calidad e imágenes cuantitativas. Nota de contenido: Automatic ultrasound vessel segmentation with deep spatiotemporal context learning -- Multimodal continual learning with sonographer eye-tracking in fetal ultrasound -- Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels -- Automatic tomographic ultrasound imaging sequence extraction of the anal sphincter -- Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia -- An Efficient Tracker for Thyroid Nodule Detection and Tracking during Ultrasound Scanning -- TransBridge: A lightweight transformer for left ventricle segmentation in echocardiography -- Adversarial Affine Registration for Real-time Intraoperative Registration of 3-D US-US for Brain Shift Correction -- Robust ultrasound-to-ultrasound registration for intra-operative brain shift correction with a Siamese neural network -- Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN -- Evaluation of low-cost hardware alternatives for 3D freehand ultrasound reconstruction in image-guided neurosurgery -- Application potential of robot-guided ultrasound during CT-guided interventions -- Towards Scale and Position Invariant Task Classification using Normalised Visual Scanpaths in Clinical Fetal Ultrasound -- Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation -- Contrastive Learning for View Classification of Echocardiograms -- Imaging Biomarker Knowledge Transfer for Attention-based Diagnosis of COVID-19 in Lung Ultrasound Videos -- Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network -- Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease -- Adaptable image quality assessment using meta-reinforcement learning of task amenability -- Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography -- Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming -- Automatic fetal gestational age estimation from first trimester scans. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the Second International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021, held on September 27, 2021, in conjunction with MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Strasbourg, France, but changed to an online event due to the Coronavirus pandemic. The 22 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: segmentation and detection; registration, guidance and robotics; classification and image synthesis; and quality assessment and quantitative imaging. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Simplifying Medical Ultrasound : Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings [documento electrónico] / Noble, J. Alison, ; Aylward, Stephen, ; Grimwood, Alexander, ; Min, Zhe, ; Lee, Su-Lin, ; Hu, Yipeng, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIII, 230 p. 77 ilustraciones, 64 ilustraciones en color.
ISBN : 978-3-030-87583-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de imágenes Visión por computador Inteligencia artificial Bioinformática Imágenes por computadora visión reconocimiento de patrones y gráficos BiologÃa Computacional y de Sistemas Clasificación: 6 Resumen: Este libro constituye las actas del Segundo Taller Internacional sobre Avances en la Simplificación de la UltrasonografÃa Médica, ASMUS 2021, celebrado el 27 de septiembre de 2021, junto con MICCAI 2021, la 24.ª Conferencia Internacional sobre Computación de Imágenes Médicas e Intervención Asistida por Computadora. La conferencia estaba prevista para celebrarse en Estrasburgo, Francia, pero se cambió a un evento en lÃnea debido a la pandemia de coronavirus. Los 22 artÃculos presentados en este libro fueron cuidadosamente revisados ​​y seleccionados de 30 presentaciones. Se organizaron en secciones temáticas de la siguiente manera: segmentación y detección; registro, guÃa y robótica; clasificación y sÃntesis de imágenes; y evaluación de la calidad e imágenes cuantitativas. Nota de contenido: Automatic ultrasound vessel segmentation with deep spatiotemporal context learning -- Multimodal continual learning with sonographer eye-tracking in fetal ultrasound -- Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels -- Automatic tomographic ultrasound imaging sequence extraction of the anal sphincter -- Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia -- An Efficient Tracker for Thyroid Nodule Detection and Tracking during Ultrasound Scanning -- TransBridge: A lightweight transformer for left ventricle segmentation in echocardiography -- Adversarial Affine Registration for Real-time Intraoperative Registration of 3-D US-US for Brain Shift Correction -- Robust ultrasound-to-ultrasound registration for intra-operative brain shift correction with a Siamese neural network -- Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN -- Evaluation of low-cost hardware alternatives for 3D freehand ultrasound reconstruction in image-guided neurosurgery -- Application potential of robot-guided ultrasound during CT-guided interventions -- Towards Scale and Position Invariant Task Classification using Normalised Visual Scanpaths in Clinical Fetal Ultrasound -- Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation -- Contrastive Learning for View Classification of Echocardiograms -- Imaging Biomarker Knowledge Transfer for Attention-based Diagnosis of COVID-19 in Lung Ultrasound Videos -- Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network -- Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease -- Adaptable image quality assessment using meta-reinforcement learning of task amenability -- Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography -- Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming -- Automatic fetal gestational age estimation from first trimester scans. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the Second International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021, held on September 27, 2021, in conjunction with MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Strasbourg, France, but changed to an online event due to the Coronavirus pandemic. The 22 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: segmentation and detection; registration, guidance and robotics; classification and image synthesis; and quality assessment and quantitative imaging. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation : International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedings / Tipo de documento: documento electrónico Autores: Stoyanov, Danail, ; Taylor, Zeike, ; Aylward, Stephen, ; Tavares, João Manuel RS, ; Xiao, Yiming, ; Simpson, Amber, ; Martel, Anne, ; Maier-Hein, Lena, ; Li, Shuo, ; Rivaz, Hassan, ; Reinertsen, Ingerid, ; Chabanas, Matthieu, ; Farahani, Keyvan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: XIX, 204 p. 80 ilustraciones, 70 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-01045-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Visión por computador Inteligencia artificial Informática Médica Red de computadoras Ordenadores Informática de la Salud Redes de comunicación informática Hardware de la computadora Clasificación: 006.37 Resumen: Este libro constituye las actas conjuntas arbitradas del Taller internacional sobre ultrasonido en el punto de atención, POCUS 2018, el Taller internacional sobre bioimágenes y visualización para simulaciones personalizadas para el paciente, BIVPCS 2017, el Taller internacional sobre corrección del desplazamiento cerebral con intra- Ultrasonido Operativo, CuRIOUS 2018, y el Taller Internacional sobre Medicina Computacional de Precisión, CPM 2018, celebrado en conjunto con la 21° Conferencia Internacional sobre ImagenologÃa Médica e Intervención Asistida por Computadora, MICCAI 2018, en Granada, España, en septiembre de 2018. Los 10 completos Los artÃculos presentados en POCUS 2018, los 4 artÃculos completos presentados en BIVPCS 2018, los 8 artÃculos completos presentados en CuRIOUS 2018 y los 2 artÃculos completos presentados en CPM 2018 fueron cuidadosamente revisados ​​y seleccionados. Los artÃculos presentan investigaciones de campos complementarios, como aplicaciones de sistemas de imágenes por ultrasonido, asà como procesamiento de señales e imágenes, mecánica, visión computacional, matemáticas, fÃsica, informática, gráficos por computadora, práctica biomédica, psicologÃa e industria. Discuten la resección intraoperatoria de tumores cerebrales guiada por ultrasonido, asà como la predicción de la supervivencia del cáncer de páncreas. Nota de contenido: Robust Photoacoustic Beamforming using Dense Convolutional Neural Networks -- A Training Tool for Ultrasound-guided Central Line Insertion with Webcam-based Position Tracking -- GLUENet: Ultrasound Elastography Using Convolutional Neural Network -- CUST: CNN for Ultrasound thermal image reconstruction using Sparse Time-of-flight information -- Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN -- Recent Advances in Point-of-Care Ultrasound using the ImFusion Suite for Real-Time Image Analysis -- Markerless Inside-Out Tracking for 3D Ultrasound Compounding -- Ultrasound-based Detection of Lung Abnormalities using Single Shot Detection Convolutional Neural Networks -- Quantitative Echocardiography: Real-time Quality Estimation and View Classification Implemented on a Mobile Android Device -- Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study -- A novel interventional guidance framework for transseptal puncture in left atrial interventions -- Holographic visualisation and interaction of fused CT, PET and MRI volumetric medical imaging data using dedicated remote GPGPU ray casting -- Mr. Silva and Patient Zero: a medical social network and data visualization information system -- Fully Convolutional Network-based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model -- Resolve Intraoperative Brain Shift as Imitation Game -- Non-linear approach for MRI to intra-operative US registration using structural skeleton -- Brain-shift correction with image-based registration and landmark accuracy evaluation -- Deformable MRI-ultrasound Registration Using 3D Convolutional Neural Network -- Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool -- Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-saliency Weighting for Image guided Neurosurgery -- Registration of MRI and iUS data to compensate brain shift using a symmetric block-matching based approach -- Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI -- Survival modeling of pancreatic cancer with radiology using convolutional neural networks -- Pancreatic Cancer Survival Prediction Using CT Scans and Clinical Variables. Tipo de medio : Computadora Summary : This book constitutes the refereed joint proceedings of the International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 10 full papers presented at POCUS 2018, the 4 full papers presented at BIVPCS 2018, the 8 full papers presented at CuRIOUS 2018, and the 2 full papers presented at CPM 2018 were carefully reviewed and selected. The papers feature research from complementary fields such as ultrasound image systems applications as well as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry. They discuss intra-operative ultrasound-guided brain tumor resection as well as pancreatic cancer survival prediction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation : International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceedings / [documento electrónico] / Stoyanov, Danail, ; Taylor, Zeike, ; Aylward, Stephen, ; Tavares, João Manuel RS, ; Xiao, Yiming, ; Simpson, Amber, ; Martel, Anne, ; Maier-Hein, Lena, ; Li, Shuo, ; Rivaz, Hassan, ; Reinertsen, Ingerid, ; Chabanas, Matthieu, ; Farahani, Keyvan, . - 1 ed. . - [s.l.] : Springer, 2018 . - XIX, 204 p. 80 ilustraciones, 70 ilustraciones en color.
ISBN : 978-3-030-01045-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Visión por computador Inteligencia artificial Informática Médica Red de computadoras Ordenadores Informática de la Salud Redes de comunicación informática Hardware de la computadora Clasificación: 006.37 Resumen: Este libro constituye las actas conjuntas arbitradas del Taller internacional sobre ultrasonido en el punto de atención, POCUS 2018, el Taller internacional sobre bioimágenes y visualización para simulaciones personalizadas para el paciente, BIVPCS 2017, el Taller internacional sobre corrección del desplazamiento cerebral con intra- Ultrasonido Operativo, CuRIOUS 2018, y el Taller Internacional sobre Medicina Computacional de Precisión, CPM 2018, celebrado en conjunto con la 21° Conferencia Internacional sobre ImagenologÃa Médica e Intervención Asistida por Computadora, MICCAI 2018, en Granada, España, en septiembre de 2018. Los 10 completos Los artÃculos presentados en POCUS 2018, los 4 artÃculos completos presentados en BIVPCS 2018, los 8 artÃculos completos presentados en CuRIOUS 2018 y los 2 artÃculos completos presentados en CPM 2018 fueron cuidadosamente revisados ​​y seleccionados. Los artÃculos presentan investigaciones de campos complementarios, como aplicaciones de sistemas de imágenes por ultrasonido, asà como procesamiento de señales e imágenes, mecánica, visión computacional, matemáticas, fÃsica, informática, gráficos por computadora, práctica biomédica, psicologÃa e industria. Discuten la resección intraoperatoria de tumores cerebrales guiada por ultrasonido, asà como la predicción de la supervivencia del cáncer de páncreas. Nota de contenido: Robust Photoacoustic Beamforming using Dense Convolutional Neural Networks -- A Training Tool for Ultrasound-guided Central Line Insertion with Webcam-based Position Tracking -- GLUENet: Ultrasound Elastography Using Convolutional Neural Network -- CUST: CNN for Ultrasound thermal image reconstruction using Sparse Time-of-flight information -- Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN -- Recent Advances in Point-of-Care Ultrasound using the ImFusion Suite for Real-Time Image Analysis -- Markerless Inside-Out Tracking for 3D Ultrasound Compounding -- Ultrasound-based Detection of Lung Abnormalities using Single Shot Detection Convolutional Neural Networks -- Quantitative Echocardiography: Real-time Quality Estimation and View Classification Implemented on a Mobile Android Device -- Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study -- A novel interventional guidance framework for transseptal puncture in left atrial interventions -- Holographic visualisation and interaction of fused CT, PET and MRI volumetric medical imaging data using dedicated remote GPGPU ray casting -- Mr. Silva and Patient Zero: a medical social network and data visualization information system -- Fully Convolutional Network-based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model -- Resolve Intraoperative Brain Shift as Imitation Game -- Non-linear approach for MRI to intra-operative US registration using structural skeleton -- Brain-shift correction with image-based registration and landmark accuracy evaluation -- Deformable MRI-ultrasound Registration Using 3D Convolutional Neural Network -- Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool -- Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-saliency Weighting for Image guided Neurosurgery -- Registration of MRI and iUS data to compensate brain shift using a symmetric block-matching based approach -- Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI -- Survival modeling of pancreatic cancer with radiology using convolutional neural networks -- Pancreatic Cancer Survival Prediction Using CT Scans and Clinical Variables. Tipo de medio : Computadora Summary : This book constitutes the refereed joint proceedings of the International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 10 full papers presented at POCUS 2018, the 4 full papers presented at BIVPCS 2018, the 8 full papers presented at CuRIOUS 2018, and the 2 full papers presented at CPM 2018 were carefully reviewed and selected. The papers feature research from complementary fields such as ultrasound image systems applications as well as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry. They discuss intra-operative ultrasound-guided brain tumor resection as well as pancreatic cancer survival prediction. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
