No Cover Image

Book chapter 8 views

Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks

Fabio Caraffini Orcid Logo, Hassan Eshkiki Orcid Logo, Mostafa Mohammadpour Orcid Logo, Nikol Sullo Orcid Logo, Christopher George Orcid Logo

Lecture Notes in Computer Science, Pages: 104 - 117

Swansea University Authors: Fabio Caraffini Orcid Logo, Hassan Eshkiki Orcid Logo, Nikol Sullo Orcid Logo, Christopher George Orcid Logo

Full text not available from this repository: check for access using links below.

Published in: Lecture Notes in Computer Science
ISBN: 9783031672842 9783031672859
ISSN: 0302-9743 1611-3349
Published: Cham Springer Nature Switzerland 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67383
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2024-08-15T12:47:09Z
last_indexed 2024-08-15T12:47:09Z
id cronfa67383
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>67383</id><entry>2024-08-15</entry><title>Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks</title><swanseaauthors><author><sid>d0b8d4e63d512d4d67a02a23dd20dfdb</sid><ORCID>0000-0001-9199-7368</ORCID><firstname>Fabio</firstname><surname>Caraffini</surname><name>Fabio Caraffini</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>c9972b26a83de11ffe211070f26fe16b</sid><ORCID>0000-0001-7795-453X</ORCID><firstname>Hassan</firstname><surname>Eshkiki</surname><name>Hassan Eshkiki</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>a2c2be54c418e779fd6a010486e1c730</sid><ORCID>0000-0002-9885-5474</ORCID><firstname>Nikol</firstname><surname>Sullo</surname><name>Nikol Sullo</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>a2e211f7bd379c81e9c393637803a0a0</sid><ORCID>0000-0001-9852-1135</ORCID><firstname>Christopher</firstname><surname>George</surname><name>Christopher George</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-08-15</date><deptcode>MACS</deptcode><abstract/><type>Book chapter</type><journal>Lecture Notes in Computer Science</journal><volume/><journalNumber/><paginationStart>104</paginationStart><paginationEnd>117</paginationEnd><publisher>Springer Nature Switzerland</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783031672842</isbnPrint><isbnElectronic>9783031672859</isbnElectronic><issnPrint>0302-9743</issnPrint><issnElectronic>1611-3349</issnElectronic><keywords/><publishedDay>1</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-01-01</publishedDate><doi>10.1007/978-3-031-67285-9_8</doi><url>http://dx.doi.org/10.1007/978-3-031-67285-9_8</url><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><funders>Morgan Advanced Studies Institute, National Cardio- vascular Research Network (funded by Health and Care Research Wales), British Heart Foundation.</funders><projectreference>MASI Summit "Cell network deterioration: understanding and predicting disease"</projectreference><lastEdited>2024-08-15T13:47:10.6173545</lastEdited><Created>2024-08-15T13:34:13.1282479</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Fabio</firstname><surname>Caraffini</surname><orcid>0000-0001-9199-7368</orcid><order>1</order></author><author><firstname>Hassan</firstname><surname>Eshkiki</surname><orcid>0000-0001-7795-453X</orcid><order>2</order></author><author><firstname>Mostafa</firstname><surname>Mohammadpour</surname><orcid>0000-0002-9064-6504</orcid><order>3</order></author><author><firstname>Nikol</firstname><surname>Sullo</surname><orcid>0000-0002-9885-5474</orcid><order>4</order></author><author><firstname>Christopher</firstname><surname>George</surname><orcid>0000-0001-9852-1135</orcid><order>5</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling v2 67383 2024-08-15 Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false c9972b26a83de11ffe211070f26fe16b 0000-0001-7795-453X Hassan Eshkiki Hassan Eshkiki true false a2c2be54c418e779fd6a010486e1c730 0000-0002-9885-5474 Nikol Sullo Nikol Sullo true false a2e211f7bd379c81e9c393637803a0a0 0000-0001-9852-1135 Christopher George Christopher George true false 2024-08-15 MACS Book chapter Lecture Notes in Computer Science 104 117 Springer Nature Switzerland Cham 9783031672842 9783031672859 0302-9743 1611-3349 1 1 2024 2024-01-01 10.1007/978-3-031-67285-9_8 http://dx.doi.org/10.1007/978-3-031-67285-9_8 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required Morgan Advanced Studies Institute, National Cardio- vascular Research Network (funded by Health and Care Research Wales), British Heart Foundation. MASI Summit "Cell network deterioration: understanding and predicting disease" 2024-08-15T13:47:10.6173545 2024-08-15T13:34:13.1282479 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Fabio Caraffini 0000-0001-9199-7368 1 Hassan Eshkiki 0000-0001-7795-453X 2 Mostafa Mohammadpour 0000-0002-9064-6504 3 Nikol Sullo 0000-0002-9885-5474 4 Christopher George 0000-0001-9852-1135 5
title Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
spellingShingle Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
Fabio Caraffini
Hassan Eshkiki
Nikol Sullo
Christopher George
title_short Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
title_full Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
title_fullStr Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
title_full_unstemmed Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
title_sort Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
author_id_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb
c9972b26a83de11ffe211070f26fe16b
a2c2be54c418e779fd6a010486e1c730
a2e211f7bd379c81e9c393637803a0a0
author_id_fullname_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
c9972b26a83de11ffe211070f26fe16b_***_Hassan Eshkiki
a2c2be54c418e779fd6a010486e1c730_***_Nikol Sullo
a2e211f7bd379c81e9c393637803a0a0_***_Christopher George
author Fabio Caraffini
Hassan Eshkiki
Nikol Sullo
Christopher George
author2 Fabio Caraffini
Hassan Eshkiki
Mostafa Mohammadpour
Nikol Sullo
Christopher George
format Book chapter
container_title Lecture Notes in Computer Science
container_start_page 104
publishDate 2024
institution Swansea University
isbn 9783031672842
9783031672859
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-031-67285-9_8
publisher Springer Nature Switzerland
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://dx.doi.org/10.1007/978-3-031-67285-9_8
document_store_str 0
active_str 0
published_date 2024-01-01T13:47:09Z
_version_ 1807457744993648640
score 11.021648