Información del autor
Autor Reinertsen, Ingerid |
Documentos disponibles escritos por este autor (2)
Crear una solicitud de compra Refinar búsquedaLarge-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention / Zhou, Luping ; Heller, Nicholas ; Shi, Yiyu ; Xiao, Yiming ; Sznitman, Raphael ; Cheplygina, Veronika ; Mateus, Diana ; Trucco, Emanuele ; Hu, X. Sharon ; Chen, Danny ; Chabanas, Matthieu ; Rivaz, Hassan ; Reinertsen, Ingerid
TÃtulo : Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings Tipo de documento: documento electrónico Autores: Zhou, Luping, ; Heller, Nicholas, ; Shi, Yiyu, ; Xiao, Yiming, ; Sznitman, Raphael, ; Cheplygina, Veronika, ; Mateus, Diana, ; Trucco, Emanuele, ; Hu, X. Sharon, ; Chen, Danny, ; Chabanas, Matthieu, ; Rivaz, Hassan, ; Reinertsen, Ingerid, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XX, 154 p. 62 ilustraciones, 48 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-33642-4 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 Informática de la Salud Clasificación: 006.37 Resumen: Este libro constituye las actas conjuntas arbitradas del Cuarto Taller Internacional sobre Anotación a Gran Escala de Datos Biomédicos y SÃntesis de Etiquetas Expertas, LABELS 2019, el Primer Taller Internacional sobre Aprendizaje Consciente de Hardware para Imágenes Médicas e Intervención Asistida por Computadora, HAL-MICCAI 2019, y el Segundo Taller Internacional sobre Corrección del Cambio Cerebral con Ultrasonido Intraoperatorio, CuRIOUS 2019, celebrado junto con la 22.ª Conferencia Internacional sobre Imágenes Médicas e Intervención Asistida por Computadora, MICCAI 2019, en Shenzhen, China, en octubre de 2019. Los 8 artÃculos presentados En LABELS 2019, los 5 artÃculos presentados en HAL-MICCAI 2019 y los 3 artÃculos presentados en CuRIOUS 2019 fueron cuidadosamente revisados ​​y seleccionados entre numerosas presentaciones. Los artÃculos de LABELS presentan una variedad de enfoques para abordar un número limitado de etiquetas, desde el aprendizaje semisupervisado hasta el crowdsourcing. Los artÃculos de HAL-MICCAI cubren un amplio conjunto de aplicaciones de hardware en problemas médicos, incluida la segmentación de imágenes médicas, la tomografÃa electrónica, la detección de neumonÃa, etc. Los artÃculos de CuRIOUS brindan una instantánea del progreso actual en el campo a través de discusiones extensas y brindan a los investigadores la oportunidad de caracterizan sus métodos de registro de imágenes en conjuntos de datos estandarizados recientemente publicados sobre resección de tumores cerebrales guiada por iUS. Nota de contenido: 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2019) -- Comparison of active learning strategies applied to lung nodule segmentation in CT scans -- Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation -- XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis -- Data Augmentation based on Substituting Regional MRI Volume Scores -- Weakly supervised segmentation from extreme points -- Exploring the Relationship between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks -- DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs -- The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018 -- First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019) -- Hardware Acceleration of Persistent Homology Computation -- Deep Compressed Pneumonia Detection for Low-Power Embedded Devices -- D3MC: A Reinforcement Learning based Data-driven Dyna Model Compression -- An Analytical Method of Automatic Alignment for Electron Tomography -- Fixed-Point U-Net Quantization for Medical Image Segmentation -- Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound (CuRIOUS 2019) -- Registration of ultrasound volumes based on Euclidean distance transform -- Landmark-based evaluation of a block-matching registration framework on the RESECT pre- and intra-operative brain image data set -- Comparing deep learning strategies and attention mechanisms of discrete registration for multimodal image-guided interventions. Tipo de medio : Computadora Summary : This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 8 papers presented at LABELS 2019, the 5 papers presented at HAL-MICCAI 2019, and the 3 papers presented at CuRIOUS 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications inmedical problems, including medical image segmentation, electron tomography, pneumonia detection, etc. The CuRIOUS papers provide a snapshot of the current progress in the field through extended discussions and provide researchers an opportunity to characterize their image registration methods on newly released standardized datasets of iUS-guided brain tumor resection. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings [documento electrónico] / Zhou, Luping, ; Heller, Nicholas, ; Shi, Yiyu, ; Xiao, Yiming, ; Sznitman, Raphael, ; Cheplygina, Veronika, ; Mateus, Diana, ; Trucco, Emanuele, ; Hu, X. Sharon, ; Chen, Danny, ; Chabanas, Matthieu, ; Rivaz, Hassan, ; Reinertsen, Ingerid, . - 1 ed. . - [s.l.] : Springer, 2019 . - XX, 154 p. 62 ilustraciones, 48 ilustraciones en color.
ISBN : 978-3-030-33642-4
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 Informática de la Salud Clasificación: 006.37 Resumen: Este libro constituye las actas conjuntas arbitradas del Cuarto Taller Internacional sobre Anotación a Gran Escala de Datos Biomédicos y SÃntesis de Etiquetas Expertas, LABELS 2019, el Primer Taller Internacional sobre Aprendizaje Consciente de Hardware para Imágenes Médicas e Intervención Asistida por Computadora, HAL-MICCAI 2019, y el Segundo Taller Internacional sobre Corrección del Cambio Cerebral con Ultrasonido Intraoperatorio, CuRIOUS 2019, celebrado junto con la 22.ª Conferencia Internacional sobre Imágenes Médicas e Intervención Asistida por Computadora, MICCAI 2019, en Shenzhen, China, en octubre de 2019. Los 8 artÃculos presentados En LABELS 2019, los 5 artÃculos presentados en HAL-MICCAI 2019 y los 3 artÃculos presentados en CuRIOUS 2019 fueron cuidadosamente revisados ​​y seleccionados entre numerosas presentaciones. Los artÃculos de LABELS presentan una variedad de enfoques para abordar un número limitado de etiquetas, desde el aprendizaje semisupervisado hasta el crowdsourcing. Los artÃculos de HAL-MICCAI cubren un amplio conjunto de aplicaciones de hardware en problemas médicos, incluida la segmentación de imágenes médicas, la tomografÃa electrónica, la detección de neumonÃa, etc. Los artÃculos de CuRIOUS brindan una instantánea del progreso actual en el campo a través de discusiones extensas y brindan a los investigadores la oportunidad de caracterizan sus métodos de registro de imágenes en conjuntos de datos estandarizados recientemente publicados sobre resección de tumores cerebrales guiada por iUS. Nota de contenido: 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2019) -- Comparison of active learning strategies applied to lung nodule segmentation in CT scans -- Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation -- XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis -- Data Augmentation based on Substituting Regional MRI Volume Scores -- Weakly supervised segmentation from extreme points -- Exploring the Relationship between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks -- DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs -- The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018 -- First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019) -- Hardware Acceleration of Persistent Homology Computation -- Deep Compressed Pneumonia Detection for Low-Power Embedded Devices -- D3MC: A Reinforcement Learning based Data-driven Dyna Model Compression -- An Analytical Method of Automatic Alignment for Electron Tomography -- Fixed-Point U-Net Quantization for Medical Image Segmentation -- Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound (CuRIOUS 2019) -- Registration of ultrasound volumes based on Euclidean distance transform -- Landmark-based evaluation of a block-matching registration framework on the RESECT pre- and intra-operative brain image data set -- Comparing deep learning strategies and attention mechanisms of discrete registration for multimodal image-guided interventions. Tipo de medio : Computadora Summary : This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 8 papers presented at LABELS 2019, the 5 papers presented at HAL-MICCAI 2019, and the 3 papers presented at CuRIOUS 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications inmedical problems, including medical image segmentation, electron tomography, pneumonia detection, etc. The CuRIOUS papers provide a snapshot of the current progress in the field through extended discussions and provide researchers an opportunity to characterize their image registration methods on newly released standardized datasets of iUS-guided brain tumor resection. 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 [...]
