國立虎尾科技大學 |

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 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning/ 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.
其他題名:	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 /
其他作者:	Passerat-Palmbach, Jonathan.
面頁冊數:	XXV, 190 p. 78 illus., 67 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Appl. in Social and Behavioral Sciences. -
電子資源:	https://doi.org/10.1007/978-3-030-90874-4
ISBN:	9783030908744

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 /
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning10th 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 /[electronic resource] :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. - 1st ed. 2021. - XXV, 190 p. 78 illus., 67 illus. in color.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;12969. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

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.

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.

ISBN: 9783030908744

Standard No.: 10.1007/978-3-030-90874-4doiSubjects--Topical Terms:

669920
Computer Appl. in Social and Behavioral Sciences.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

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 /
LDR:05112nam a22004335i 4500 001 1057123
003 DE-He213
005 20211113054547.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030908744 $9 978-3-030-90874-4
024 7 $a 10.1007/978-3-030-90874-4 $2 doi
035 $a 978-3-030-90874-4
050 4 $a TA1630-1650
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.6 $2 23
082 0 4 $a 006.37 $2 23
245 1 0 $a Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning $h [electronic resource] : $b 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 / $c 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.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XXV, 190 p. 78 illus., 67 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 12969
505 0 $a 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.
520 $a 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.
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 669920
650 2 4 $a Computer Communication Networks. $3 669310
650 2 4 $a Machine Learning. $3 1137723
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 0 $a Application software. $3 528147
650 0 $a Computer communication systems. $3 1115394
650 0 $a Machine learning. $3 561253
650 0 $a Optical data processing. $3 639187
700 1 $a Passerat-Palmbach, Jonathan. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362531
700 1 $a Usynin, Dmitrii. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362530
700 1 $a Ziller, Alexander. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362529
700 1 $a Rueckert, Daniel. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1076989
700 1 $a Guindy, Michal. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362528
700 1 $a Konukoglu, Ender. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1304213
700 1 $a Gabrani, Maria. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362527
700 1 $a Xu, Daguang. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1326497
700 1 $a Li, Xiaoxiao. $e editor. $1 https://orcid.org/0000-0002-8833-0244 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362526
700 1 $a Roth, Holger. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1326496
700 1 $a Rieke, Nicola. $e editor. $1 https://orcid.org/0000-0003-0241-9334 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1303095
700 1 $a Landman, Bennett. $e editor. $1 https://orcid.org/0000-0001-5733-2127 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1283996
700 1 $a Bakas, Spyridon. $e editor. $1 https://orcid.org/0000-0001-8734-6482 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1283981
700 1 $a Albarqouni, Shadi. $e editor. $1 https://orcid.org/0000-0003-2157-2211 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1283763
700 1 $a Chen, Yufei. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362525
700 1 $a Drechsler, Klaus. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1075817
700 1 $a Erdt, Marius. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1024815
700 1 $a Wesarg, Stefan. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1267214
700 1 $a Shekhar, Raj. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1267213
700 1 $a Linguraru, Marius George. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 891191
700 1 $a Kaissis, Georgios. $e editor. $1 https://orcid.org/0000-0001-8382-8062 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362524
700 1 $a Rosen-Zvi, Michal. $e editor. $1 https://orcid.org/0000-0001-7616-9724 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1362523
700 1 $a Cardoso, M. Jorge. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1200906
700 1 $a Oyarzun Laura, Cristina. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1106638
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030908737
776 0 8 $i Printed edition: $z 9783030908751
830 0 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 9219 $3 1253644
856 4 0 $u https://doi.org/10.1007/978-3-030-90874-4
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)