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11 produkter

Handbook of Medical Image Computing and Computer Assisted Intervention

AvS. Kevin Zhou,Daniel Rueckertm. fl.

Inbunden, Engelska, 2019

2 206 kr

Skickas inom 7-10 vardagar

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention.

Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention

Del 11074 - Lecture Notes in Computer Science

Machine Learning for Medical Image Reconstruction

First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

AvFlorian Knoll,Andreas Maierm. fl.

Häftad, Engelska, 2018

554 kr

Skickas inom 10-15 vardagar

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.

Del 11905 - Lecture Notes in Computer Science

Machine Learning for Medical Image Reconstruction

Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

AvFlorian Knoll,Andreas Maierm. fl.

Häftad, Engelska, 2019

538 kr

Skickas inom 10-15 vardagar

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 submissions.

Del 12969 - Lecture Notes in Computer Science

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning

10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings

AvCristina Oyarzun Laura,M. Jorge Cardosom. fl.

Häftad, Engelska, 2021

591 kr

Skickas inom 10-15 vardagar

This book constitutes the refereed proceedings of the 10th International Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure and Privacy-Preserving Machine Learning for Medical Imaging Workshop and Tutorial, PPML 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.CLIP 2021 accepted 9 papers from the 13 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.For DCL 2021, 4 papers from 7 submissions were accepted for publication. They deal with machine learning applied to problems where data cannot be stored in centralized databases and information privacy is a priority. LL-COVID19 2021 accepted 2 papers out of 3 submissions dealing with the use of AI models in clinical practice. And for PPML 2021, 2 papers were accepted from a total of 6 submissions, exploring the use of privacy techniques in the medical imaging community.

Del 13386 - Lecture Notes in Computer Science

Biomedical Image Registration

10th International Workshop, WBIR 2022, Munich, Germany, July 10–12, 2022, Proceedings

AvAlessa Hering,Julia Schnabelm. fl.

Häftad, Engelska, 2022

727 kr

Skickas inom 10-15 vardagar

This book constitutes the refereed proceedings of the 10th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Munich, Germany, in July 2022.The 11 full and poster papers together with 17 short papers included in this volume were carefully reviewed and selected from 32 submitted papers.

Del 9467 - Lecture Notes in Computer Science

Patch-Based Techniques in Medical Imaging

First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

AvGuorong Wu,Pierrick Coupém. fl.

Häftad, Engelska, 2016

554 kr

Skickas inom 10-15 vardagar

This book constitutes the thoroughly refereedpost-workshop proceedings of the First International Workshop on Patch-based Techniquesin Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI2015, in Munich, Germany, in October 2015.The 25 full papers presented in this volume werecarefully reviewed and selected from 35 submissions. The topics covered are suchas image segmentation of anatomical structures or lesions; image enhancement;computer-aided prognostic and diagnostic; multi-modality fusion; mono and multimodal image synthesis; image retrieval; dynamic, functional physiologic andanatomic imaging; super-pixel/voxel in medical image analysis; sparsedictionary learning and sparse coding; analysis of 2D, 2D+t, 3D, 3D+t, 4D, and4D+t data.

Del 9993 - Lecture Notes in Computer Science

Patch-Based Techniques in Medical Imaging

Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings

AvGuorong Wu,Pierrick Coupém. fl.

Häftad, Engelska, 2016

554 kr

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The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image registration, abnormality detection, and image synthesis.

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009

12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I

AvGuang-Zhong Yang,David J. Hawkesm. fl.

Häftad, Engelska, 2009

1 644 kr

Skickas inom 10-15 vardagar

The two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. The first volume includes 125 papers divided in topical sections on cardiovascular image guided intervention and robotics; surgical navigation and tissue interaction; intra-operative imaging and endoscopic navigation; motion modelling and image formation; image registration; modelling and segmentation; image segmentation and classification; segmentation and atlas based techniques; neuroimage analysis; surgical navigation and robotics; image registration; and neuroimage analysis: structure and function.

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009

12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II

AvGuang-Zhong Yang,David J. Hawkesm. fl.

Häftad, Engelska, 2009

1 644 kr

Skickas inom 10-15 vardagar

The two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. The second volume includes 134 papers divided in topical sections on shape modelling and analysis; motion analyysis, physical based modelling and image reconstruction; neuro, cell and multiscale image analysis; image analysis and computer aided diagnosis; and image segmentation and analysis.

Biomedical Image Registration

5th International Workshop, WBIR 2012, Nashville, TN, USA, July 7-8, 2012, Proceedings

AvBenoit Dawant,Gary E Christensenm. fl.

Häftad, Engelska, 2012

553 kr

Skickas inom 10-15 vardagar

This book constitutes the refereed proceedings of the 5th International Workshop on Biomedical Image Registration, WBIR 2012, held in Nashville, Tennessee, USA, in July 2012. The 20 full papers and 11 poster papers included in this volume were carefully reviewed and selected from 44 submitted papers. They full papers are organized in the following topical sections: multiple image sets; brain; non-rigid anatomy; and frameworks and similarity measures.

Functional Imaging and Modeling of the Heart

7th International Conference, FIMH 2013, London, UK, June 20-22,2013, Proceedings

AvSebastien Ourselin,Daniel Rueckertm. fl.

Häftad, Engelska, 2013

553 kr

Skickas inom 10-15 vardagar

The focus of the papers is on following topics: image driven modeling, biophysical modeling, image analysis, biophysical modeling, cardiac imaging, parameter estimation, modeling methods, and biomedical engineering.

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Daniel Rueckert – författare

Handbook of Medical Image Computing and Computer Assisted Intervention

Machine Learning for Medical Image Reconstruction

Machine Learning for Medical Image Reconstruction

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning

Biomedical Image Registration

Patch-Based Techniques in Medical Imaging

Patch-Based Techniques in Medical Imaging

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009

Biomedical Image Registration

Functional Imaging and Modeling of the Heart

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