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 / edited by Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach.

Format:

Book

Contributor:

Oyarzun Laura, Cristina., Editor.

Cardoso, M. Jorge, Editor.

Rosen-Zvi, Michal., Editor.

Kaissis, Georgios., Editor.

Linguraru, Marius George, Editor.

Shekhar, Raj, Editor.

Wesarg, Stefan., Editor.

Erdt, Marius, Editor.

Drechsler, Klaus, Editor.

Chen, Yufei, Editor.

Albarqouni, Shadi, Editor.

Bakas, Spyridon, Editor.

Landman, Bennett., Editor.

Rieke, Nicola., Editor.

Roth, Holger., Editor.

Li, Xiaoxiao, Editor.

Xu, Daguang., Editor.

Gabrani, Maria., Editor.

Konukoglu, Ender, Editor.

Guindy, Michal., Editor.

Rueckert, Daniel, Editor.

Ziller, Alexander., Editor.

Usynin, Dmitrii., Editor.

Passerat-Palmbach, Jonathan., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12969

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12969

Language:

English

Subjects (All):

Computer vision.

Machine learning.

Computer networks.

Social sciences-Data processing.

Computer Vision.

Machine Learning.

Computer Communication Networks.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Computer Vision.

Machine Learning.

Computer Communication Networks.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (XXV, 190 pages) : 78 illustrations, 67 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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.

Contents:

Intestine segmentation with small computational cost for diagnosis assistance of ileus and intestinal obstruction

Generation of Patient-Specific, Ligamentoskeletal, Finite Element Meshes for Scoliosis Correction Planning

Bayesian Graph Neural Networks For EEG-based Emotion Recognition

ViTBIS: Vision Transformer for Biomedical Image Segmentation

Attention-guided pancreatic duct segmentation from abdominal CT volumes

Development of the Next Generation Hand-Held Doppler With Waveform Phasicity Predictive Capabilities Using Deep Learning

Learning from mistakes: an error-driven mechanism to improve segmentation performance based on expert feedback

TMJOAI: an artificial web-based intelligence tool for early diagnosis of the Temporomandibular Joint Osteoarthritis

COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

Federated Learning in the Cloud for Analysis of Medical Images - Experience with Open Source Frameworks

On the Fairness of Swarm Learning in Skin Lesion Classification

Lessons learned from the development and application of medical imaging-based AI technologies for combating COVID-19: why discuss, what next

The Role of Pleura and Adipose in Lung Ultrasound AI

DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19

Data imputation and reconstruction of distributed Parkinson's disease clinical assessments: A comparative evaluation of two aggregation algorithms

Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods: Application to Retinal Diagnostics.

Other Format:

Printed edition:

ISBN:

978-3-030-90874-4

9783030908744

Access Restriction:

Restricted for use by site license.