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Autor Goksel, Orcun |
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TÃtulo : Biomedical Image Registration : 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1–2, 2020, Proceedings / Tipo de documento: documento electrónico Autores: Å piclin, Žiga, ; McClelland, Jamie, ; Kybic, Jan, ; Goksel, Orcun, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: X, 176 p. 70 ilustraciones, 44 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-50120-4 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 Sistemas de reconocimiento de patrones Software de la aplicacion IngenierÃa Informática Red de computadoras Ordenadores Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Entornos informáticos Clasificación: 006.37 Resumen: Este libro constituye las actas arbitradas del noveno Taller Internacional sobre Registro de Imágenes Biomédicas, WBIR 2020, que debÃa celebrarse en Portorož, Eslovenia, en junio de 2020. La conferencia se pospuso hasta diciembre de 2020 debido a la pandemia de COVID-19. Los 16 artÃculos completos y en póster incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 22 artÃculos presentados. Los artÃculos están organizados en las siguientes secciones temáticas: inicialización y aceleración del registro, registro intervencionista, registro basado en puntos de referencia, registro multicanal y movimiento deslizante. Nota de contenido: Registration Initialization and Acceleration -- Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem -- Learning-based Affine Registration of Histological Images -- Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series -- Towards Segmentation and Spatial Alignment of the Human Embryonic Brain using Deep Learning for Atlas-based Registration -- Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy -- Interventional Registration -- Multilevel 2D-3D Intensity-based Image Registration -- Towards Automated Spine Mobility Quantification: a Locally Rigid CT to X-ray Registration Framework -- Landmark based Registration -- Reinforced Redetection of Landmark in Pre- and Post-Operative Brain Scan using Anatomical Guidance for Image Alignment -- Deep Volumetric Feature Encoding for Biomedical Images -- Multi-Channel Registration -- Multi-Channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-Decoder Network -- Multi-Channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain -- An Image Registration-based Method for EPI Distortion Correction based on Opposite Phase Encoding (COPE) -- Diffusion Tensor driven Image registration: a Deep Learning Approach -- Multimodal MRI Template Creation in the Ring-Tailed Lemur and Rhesus Macaque -- Sliding Motion -- An Unsupervised Learning Approach to Discontinuity-preserving Image Registration -- An Image Registration Framework for Discontinuous Mappings along Cracks. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portorož, Slovenia, in June 2020. The conference was postponed until December 2020 due to the COVID-19 pandemic. The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Biomedical Image Registration : 9th International Workshop, WBIR 2020, Portorož, Slovenia, December 1–2, 2020, Proceedings / [documento electrónico] / Å piclin, Žiga, ; McClelland, Jamie, ; Kybic, Jan, ; Goksel, Orcun, . - 1 ed. . - [s.l.] : Springer, 2020 . - X, 176 p. 70 ilustraciones, 44 ilustraciones en color.
ISBN : 978-3-030-50120-4
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 Sistemas de reconocimiento de patrones Software de la aplicacion IngenierÃa Informática Red de computadoras Ordenadores Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información IngenierÃa Informática y Redes Entornos informáticos Clasificación: 006.37 Resumen: Este libro constituye las actas arbitradas del noveno Taller Internacional sobre Registro de Imágenes Biomédicas, WBIR 2020, que debÃa celebrarse en Portorož, Eslovenia, en junio de 2020. La conferencia se pospuso hasta diciembre de 2020 debido a la pandemia de COVID-19. Los 16 artÃculos completos y en póster incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 22 artÃculos presentados. Los artÃculos están organizados en las siguientes secciones temáticas: inicialización y aceleración del registro, registro intervencionista, registro basado en puntos de referencia, registro multicanal y movimiento deslizante. Nota de contenido: Registration Initialization and Acceleration -- Nonlinear Alignment of Whole Tractograms with the Linear Assignment Problem -- Learning-based Affine Registration of Histological Images -- Enabling Manual Intervention for Otherwise Automated Registration of Large Image Series -- Towards Segmentation and Spatial Alignment of the Human Embryonic Brain using Deep Learning for Atlas-based Registration -- Learning Deformable Image Registration with Structure Guidance Constraints for Adaptive Radiotherapy -- Interventional Registration -- Multilevel 2D-3D Intensity-based Image Registration -- Towards Automated Spine Mobility Quantification: a Locally Rigid CT to X-ray Registration Framework -- Landmark based Registration -- Reinforced Redetection of Landmark in Pre- and Post-Operative Brain Scan using Anatomical Guidance for Image Alignment -- Deep Volumetric Feature Encoding for Biomedical Images -- Multi-Channel Registration -- Multi-Channel Image Registration of Cardiac MR Using Supervised Feature Learning with Convolutional Encoder-Decoder Network -- Multi-Channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain -- An Image Registration-based Method for EPI Distortion Correction based on Opposite Phase Encoding (COPE) -- Diffusion Tensor driven Image registration: a Deep Learning Approach -- Multimodal MRI Template Creation in the Ring-Tailed Lemur and Rhesus Macaque -- Sliding Motion -- An Unsupervised Learning Approach to Discontinuity-preserving Image Registration -- An Image Registration Framework for Discontinuous Mappings along Cracks. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 9th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Portorož, Slovenia, in June 2020. The conference was postponed until December 2020 due to the COVID-19 pandemic. The 16 full and poster papers included in this volume were carefully reviewed and selected from 22 submitted papers. The papers are organized in the following topical sections: Registration initialization and acceleration, interventional registration, landmark based registration, multi-channel registration, and sliding motion. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Shape in Medical Imaging / Reuter, Martin ; Wachinger, Christian ; Lombaert, Hervé ; Paniagua, Beatriz ; Goksel, Orcun ; Rekik, Islem
TÃtulo : Shape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings Tipo de documento: documento electrónico Autores: Reuter, Martin, ; Wachinger, Christian, ; Lombaert, Hervé, ; Paniagua, Beatriz, ; Goksel, Orcun, ; Rekik, Islem, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: VIII, 156 p. 72 ilustraciones, 61 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-61056-2 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: Visión por computador Software de la aplicacion Aprendizaje automático Computadoras Propósitos especiales Sistemas de reconocimiento de patrones Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones Reconocimiento de patrones automatizado Clasificación: 006.37 Resumen: Este libro constituye las actas del Taller internacional sobre la forma en imágenes médicas, ShapeMI 2020, que se celebró junto con la 23.ª Conferencia internacional sobre informática de imágenes médicas e intervención asistida por computadora, MICCAI 2020, en octubre de 2020. Se planeó que la conferencia tuviera lugar lugar en Lima, Perú, pero cambió a un formato virtual debido a la pandemia de COVID-19. Los 12 artÃculos completos incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 18 presentaciones. Estaban organizados en secciones temáticas denominadas: métodos; aprendiendo; y aplicaciones. Nota de contenido: Methods -- Composition of Transformations in the Registration of Sets of Points or Oriented Points -- Uncertainty reduction in contour-based 3D/2D registration of bone surfaces -- Learning Shape Priors from Pieces -- Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis -- Learning -- Uncertain-DeepSSM: From Images to Probabilistic Shape Models -- D-Net: Siamese based Network for Arbitrarily Oriented Volume Alignment -- A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data From the Osteoarthritis Initiative -- Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes -- Applications -- Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints -- Learning a statistical full spine model from partial observations -- Morphology-based individual vertebrae classification -- Patient Specific Classification of Dental Root Canal and Crown Shape. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assistend Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru, but changed to a virtual format due to the COVID-19 pandemic. The 12 full papers included in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections named: methods; learning; and applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Shape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings [documento electrónico] / Reuter, Martin, ; Wachinger, Christian, ; Lombaert, Hervé, ; Paniagua, Beatriz, ; Goksel, Orcun, ; Rekik, Islem, . - 1 ed. . - [s.l.] : Springer, 2020 . - VIII, 156 p. 72 ilustraciones, 61 ilustraciones en color.
ISBN : 978-3-030-61056-2
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: Visión por computador Software de la aplicacion Aprendizaje automático Computadoras Propósitos especiales Sistemas de reconocimiento de patrones Aplicaciones informáticas y de sistemas de información Sistemas de propósito especial y basados ​​en aplicaciones Reconocimiento de patrones automatizado Clasificación: 006.37 Resumen: Este libro constituye las actas del Taller internacional sobre la forma en imágenes médicas, ShapeMI 2020, que se celebró junto con la 23.ª Conferencia internacional sobre informática de imágenes médicas e intervención asistida por computadora, MICCAI 2020, en octubre de 2020. Se planeó que la conferencia tuviera lugar lugar en Lima, Perú, pero cambió a un formato virtual debido a la pandemia de COVID-19. Los 12 artÃculos completos incluidos en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 18 presentaciones. Estaban organizados en secciones temáticas denominadas: métodos; aprendiendo; y aplicaciones. Nota de contenido: Methods -- Composition of Transformations in the Registration of Sets of Points or Oriented Points -- Uncertainty reduction in contour-based 3D/2D registration of bone surfaces -- Learning Shape Priors from Pieces -- Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis -- Learning -- Uncertain-DeepSSM: From Images to Probabilistic Shape Models -- D-Net: Siamese based Network for Arbitrarily Oriented Volume Alignment -- A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data From the Osteoarthritis Initiative -- Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes -- Applications -- Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints -- Learning a statistical full spine model from partial observations -- Morphology-based individual vertebrae classification -- Patient Specific Classification of Dental Root Canal and Crown Shape. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assistend Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru, but changed to a virtual format due to the COVID-19 pandemic. The 12 full papers included in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections named: methods; learning; and applications. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Simulation and Synthesis in Medical Imaging : Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings Tipo de documento: documento electrónico Autores: Gooya, Ali, ; Goksel, Orcun, ; Oguz, Ipek, ; Burgos, Ninon, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2018 Número de páginas: X, 140 p. 58 ilustraciones ISBN/ISSN/DL: 978-3-030-00536-8 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 Informática Médica Inteligencia artificial Protección de datos Informática de la Salud Seguridad de datos e información Clasificación: 006.37 Resumen: Este libro constituye las actas arbitradas del Tercer Taller Internacional sobre Simulación y SÃntesis en Imágenes Médicas, SASHIMI 2018, celebrado junto con MICCAI 2018, en Granada, España, en septiembre de 2018. Los 14 artÃculos completos presentados fueron cuidadosamente revisados ​​y seleccionados entre numerosos presentaciones. Este taller continúa brindando una perspectiva integradora y de última generación sobre simulación y sÃntesis en imágenes médicas con el propósito de revitalizar la investigación y estimular nuevas ideas sobre cómo construir vÃnculos teóricos, sinergias prácticas y mejores prácticas entre estas dos investigaciones. direcciones. Nota de contenido: Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks -- Data Augmentation Using synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI -- Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation -- Cross-modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size -- A Machine Learning Approach to Diffusion MRI Partial Volume Estimation -- Unsupervised Learning for Cross-domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks -- Deep Boosted Regression for MR TO CT Synthesis -- Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia -- MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-Modal Alzheimer's Classification -- Tubular Network Formation Process Using 3D Cellular Potts Model -- Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images -- Lung Nodule Synthesis Using CNN-based Latent Data Representation -- RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours -- Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the Third International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 14 full papers presented were carefully reviewed and selected from numerous submissions. This workshop continues to provide a state-of-the-art and integrative perspective on simulation and synthesis in medical imaging for the purpose of invigorating research and stimulating new ideas on how to build theoretical links, practical synergies, and best practices between these two research directions. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Simulation and Synthesis in Medical Imaging : Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings [documento electrónico] / Gooya, Ali, ; Goksel, Orcun, ; Oguz, Ipek, ; Burgos, Ninon, . - 1 ed. . - [s.l.] : Springer, 2018 . - X, 140 p. 58 ilustraciones.
ISBN : 978-3-030-00536-8
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 Informática Médica Inteligencia artificial Protección de datos Informática de la Salud Seguridad de datos e información Clasificación: 006.37 Resumen: Este libro constituye las actas arbitradas del Tercer Taller Internacional sobre Simulación y SÃntesis en Imágenes Médicas, SASHIMI 2018, celebrado junto con MICCAI 2018, en Granada, España, en septiembre de 2018. Los 14 artÃculos completos presentados fueron cuidadosamente revisados ​​y seleccionados entre numerosos presentaciones. Este taller continúa brindando una perspectiva integradora y de última generación sobre simulación y sÃntesis en imágenes médicas con el propósito de revitalizar la investigación y estimular nuevas ideas sobre cómo construir vÃnculos teóricos, sinergias prácticas y mejores prácticas entre estas dos investigaciones. direcciones. Nota de contenido: Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks -- Data Augmentation Using synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI -- Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation -- Cross-modality Image Synthesis from Unpaired Data Using CycleGAN: Effects of Gradient Consistency Loss and Training Data Size -- A Machine Learning Approach to Diffusion MRI Partial Volume Estimation -- Unsupervised Learning for Cross-domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks -- Deep Boosted Regression for MR TO CT Synthesis -- Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia -- MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-Modal Alzheimer's Classification -- Tubular Network Formation Process Using 3D Cellular Potts Model -- Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images -- Lung Nodule Synthesis Using CNN-based Latent Data Representation -- RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours -- Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the Third International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 14 full papers presented were carefully reviewed and selected from numerous submissions. This workshop continues to provide a state-of-the-art and integrative perspective on simulation and synthesis in medical imaging for the purpose of invigorating research and stimulating new ideas on how to build theoretical links, practical synergies, and best practices between these two research directions. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
