{"id":"https://openalex.org/W2979579242","doi":"https://doi.org/10.1007/978-3-030-32245-8_53","title":"Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching","display_name":"Whole Heart and Great Vessel Segmentation in Congenital Heart Disease Using Deep Neural Networks and Graph Matching","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2979579242","doi":"https://doi.org/10.1007/978-3-030-32245-8_53","mag":"2979579242"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-32245-8_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-32245-8_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071529609","display_name":"Xiaowei Xu","orcid":"https://orcid.org/0000-0002-1046-6379"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaowei Xu","raw_affiliation_strings":["University of Notre Dame, Notre Dame, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051391822","display_name":"Tianchen Wang","orcid":"https://orcid.org/0000-0003-1524-6364"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianchen Wang","raw_affiliation_strings":["University of Notre Dame, Notre Dame, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000141831","display_name":"Yiyu Shi","orcid":"https://orcid.org/0000-0002-6788-9823"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyu Shi","raw_affiliation_strings":["University of Notre Dame, Notre Dame, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037197076","display_name":"Haiyun Yuan","orcid":"https://orcid.org/0000-0002-8884-4202"},"institutions":[{"id":"https://openalex.org/I2799425052","display_name":"Guangdong General Hospital","ror":"https://ror.org/03jpekd50","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2799425052"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyun Yuan","raw_affiliation_strings":["Guangdong General Hospital, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong General Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I2799425052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101142935","display_name":"Qianjun Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I2799425052","display_name":"Guangdong General Hospital","ror":"https://ror.org/03jpekd50","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2799425052"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianjun Jia","raw_affiliation_strings":["Guangdong General Hospital, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong General Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I2799425052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003562224","display_name":"Meiping Huang","orcid":"https://orcid.org/0000-0002-0745-852X"},"institutions":[{"id":"https://openalex.org/I2799425052","display_name":"Guangdong General Hospital","ror":"https://ror.org/03jpekd50","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2799425052"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiping Huang","raw_affiliation_strings":["Guangdong General Hospital, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong General Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I2799425052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029085468","display_name":"Jian Zhuang","orcid":"https://orcid.org/0000-0003-0142-4238"},"institutions":[{"id":"https://openalex.org/I2799425052","display_name":"Guangdong General Hospital","ror":"https://ror.org/03jpekd50","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2799425052"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhuang","raw_affiliation_strings":["Guangdong General Hospital, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong General Hospital, Guangzhou, China","institution_ids":["https://openalex.org/I2799425052"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071529609"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":10.7598,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.98958964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"477","last_page":"485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7017709612846375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6437302827835083},{"id":"https://openalex.org/keywords/great-vessels","display_name":"Great vessels","score":0.6258162260055542},{"id":"https://openalex.org/keywords/heart-disease","display_name":"Heart disease","score":0.6246525049209595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6199749708175659},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6112648248672485},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5208257436752319},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5203651785850525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36104393005371094},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.17737382650375366},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.157514750957489},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11005562543869019}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7017709612846375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6437302827835083},{"id":"https://openalex.org/C2775877586","wikidata":"https://www.wikidata.org/wiki/Q5600417","display_name":"Great vessels","level":2,"score":0.6258162260055542},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.6246525049209595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6199749708175659},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6112648248672485},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5208257436752319},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5203651785850525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36104393005371094},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.17737382650375366},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.157514750957489},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11005562543869019}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-32245-8_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-32245-8_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8500000238418579,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1975040805","https://openalex.org/W2048733914","https://openalex.org/W2096579040","https://openalex.org/W2462554900","https://openalex.org/W2575226059","https://openalex.org/W2576498342","https://openalex.org/W2793110168","https://openalex.org/W2793788053","https://openalex.org/W2891273212","https://openalex.org/W2905346571","https://openalex.org/W2913431714","https://openalex.org/W2963503375","https://openalex.org/W2963948425","https://openalex.org/W2964356608","https://openalex.org/W2971799992"],"related_works":["https://openalex.org/W2790662084","https://openalex.org/W2960184797","https://openalex.org/W4285827401","https://openalex.org/W3104734424","https://openalex.org/W2603501458","https://openalex.org/W4226289457","https://openalex.org/W2954384599","https://openalex.org/W3209779739","https://openalex.org/W2738221750","https://openalex.org/W3003842086"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}
