Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

Xiaowei Yu; Dan Hu; Lu Zhang; Ying Huang; Zhengwang Wu; Tianming Liu; Li Wang; Weili Lin; Dajiang Zhu; Gang Li

doi:10.1007/978-3-031-16452-1_25

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

Xiaowei Yu
, Dan Hu
, Lu Zhang
, Ying Huang
, Zhengwang Wu
, Tianming Liu
, Li Wang
, Weili Lin
, Dajiang Zhu
, Gang Li

University of Texas at Arlington
University of North Carolina at Chapel Hill
Medical University of South Carolina
University of Georgia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings
Editors	Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	255-264
Number of pages	10
ISBN (Print)	9783031164514
DOIs	https://doi.org/10.1007/978-3-031-16452-1_25
State	Published - 2022
Externally published	Yes
Event	25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 - Singapore, Singapore Duration: Sep 18 2022 → Sep 22 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13438 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022
Country/Territory	Singapore
City	Singapore
Period	9/18/22 → 9/22/22

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Autoencoder
Functional connectivity
Longitudinal prediction

Access to Document

10.1007/978-3-031-16452-1_25

Cite this

Yu, X., Hu, D., Zhang, L., Huang, Y., Wu, Z., Liu, T., Wang, L., Lin, W., Zhu, D., & Li, G. (2022). Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings (pp. 255-264). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13438 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16452-1_25

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. / Yu, Xiaowei; Hu, Dan; Zhang, Lu et al.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. ed. / Linwei Wang; Qi Dou; P. Thomas Fletcher; Stefanie Speidel; Shuo Li. Springer Science and Business Media Deutschland GmbH, 2022. p. 255-264 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13438 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yu, X, Hu, D, Zhang, L, Huang, Y, Wu, Z, Liu, T, Wang, L, Lin, W, Zhu, D & Li, G 2022, Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. in L Wang, Q Dou, PT Fletcher, S Speidel & S Li (eds), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13438 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 255-264, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, Singapore, Singapore, 9/18/22. https://doi.org/10.1007/978-3-031-16452-1_25

Yu X, Hu D, Zhang L, Huang Y, Wu Z, Liu T et al. Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. In Wang L, Dou Q, Fletcher PT, Speidel S, Li S, editors, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 255-264. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-16452-1_25

Yu, Xiaowei ; Hu, Dan ; Zhang, Lu et al. / Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. editor / Linwei Wang ; Qi Dou ; P. Thomas Fletcher ; Stefanie Speidel ; Shuo Li. Springer Science and Business Media Deutschland GmbH, 2022. pp. 255-264 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{9a2756ca45774aa0b43b5c946e127942,

title = "Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network",

keywords = "Autoencoder, Functional connectivity, Longitudinal prediction",

author = "Xiaowei Yu and Dan Hu and Lu Zhang and Ying Huang and Zhengwang Wu and Tianming Liu and Li Wang and Weili Lin and Dajiang Zhu and Gang Li",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 ; Conference date: 18-09-2022 Through 22-09-2022",

year = "2022",

doi = "10.1007/978-3-031-16452-1\_25",

language = "English",

isbn = "9783031164514",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "255--264",

editor = "Linwei Wang and Qi Dou and Fletcher, \{P. Thomas\} and Stefanie Speidel and Shuo Li",

booktitle = "Medical Image Computing and Computer Assisted Intervention {\textendash} MICCAI 2022 - 25th International Conference, Proceedings",

}

TY - GEN

T1 - Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

AU - Yu, Xiaowei

AU - Hu, Dan

AU - Zhang, Lu

AU - Huang, Ying

AU - Wu, Zhengwang

AU - Liu, Tianming

AU - Wang, Li

AU - Lin, Weili

AU - Zhu, Dajiang

AU - Li, Gang

PY - 2022

Y1 - 2022

KW - Autoencoder

KW - Functional connectivity

KW - Longitudinal prediction

UR - https://www.scopus.com/pages/publications/85139036068

UR - https://www.scopus.com/pages/publications/85139036068#tab=citedBy

U2 - 10.1007/978-3-031-16452-1_25

DO - 10.1007/978-3-031-16452-1_25

M3 - Conference contribution

AN - SCOPUS:85139036068

SN - 9783031164514

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 255

EP - 264

BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings

A2 - Wang, Linwei

A2 - Dou, Qi

A2 - Fletcher, P. Thomas

A2 - Speidel, Stefanie

A2 - Li, Shuo

PB - Springer Science and Business Media Deutschland GmbH

T2 - 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022

Y2 - 18 September 2022 through 22 September 2022

ER -

Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Fingerprint

Cite this