{"id":"https://openalex.org/W2891913215","doi":"https://doi.org/10.1007/978-3-030-00919-9_44","title":"Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks","display_name":"Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891913215","doi":"https://doi.org/10.1007/978-3-030-00919-9_44","mag":"2891913215"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-00919-9_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00919-9_44","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":"conference-paper","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/A5003935595","display_name":"Deepak Keshwani","orcid":null},"institutions":[{"id":"https://openalex.org/I2948482138","display_name":"Fujifilm (Japan)","ror":"https://ror.org/0493bmq37","country_code":"JP","type":"company","lineage":["https://openalex.org/I2948482138"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Deepak Keshwani","raw_affiliation_strings":["Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012238763","display_name":"Yoshiro Kitamura","orcid":"https://orcid.org/0000-0001-5279-3506"},"institutions":[{"id":"https://openalex.org/I2948482138","display_name":"Fujifilm (Japan)","ror":"https://ror.org/0493bmq37","country_code":"JP","type":"company","lineage":["https://openalex.org/I2948482138"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiro Kitamura","raw_affiliation_strings":["Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011505663","display_name":"Yuanzhong Li","orcid":"https://orcid.org/0000-0003-2490-4867"},"institutions":[{"id":"https://openalex.org/I2948482138","display_name":"Fujifilm (Japan)","ror":"https://ror.org/0493bmq37","country_code":"JP","type":"company","lineage":["https://openalex.org/I2948482138"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuanzhong Li","raw_affiliation_strings":["Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging Technology Center, Fujifilm Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2948482138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003935595"],"corresponding_institution_ids":["https://openalex.org/I2948482138"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":18.2678,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.98888889,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11412","display_name":"Genetic and Kidney Cyst Diseases","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11412","display_name":"Genetic and Kidney Cyst Diseases","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11174","display_name":"Pediatric Urology and Nephrology Studies","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12067","display_name":"Renal and Vascular Pathologies","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/autosomal-dominant-polycystic-kidney-disease","display_name":"Autosomal dominant polycystic kidney disease","score":0.7722182869911194},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6877983212471008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451886892318726},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5406915545463562},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5358445048332214},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5325362682342529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47007495164871216},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.452526718378067},{"id":"https://openalex.org/keywords/pkd1","display_name":"PKD1","score":0.45143184065818787},{"id":"https://openalex.org/keywords/renal-function","display_name":"Renal function","score":0.4212402403354645},{"id":"https://openalex.org/keywords/kidney","display_name":"Kidney","score":0.4136621952056885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38088443875312805},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.328077495098114},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23658287525177002},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20465919375419617},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1885957419872284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13923686742782593},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11777785420417786}],"concepts":[{"id":"https://openalex.org/C2776266639","wikidata":"https://www.wikidata.org/wiki/Q2732398","display_name":"Autosomal dominant polycystic kidney disease","level":3,"score":0.7722182869911194},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6877983212471008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451886892318726},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5406915545463562},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5358445048332214},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5325362682342529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47007495164871216},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.452526718378067},{"id":"https://openalex.org/C100773827","wikidata":"https://www.wikidata.org/wiki/Q82302467","display_name":"PKD1","level":4,"score":0.45143184065818787},{"id":"https://openalex.org/C159641895","wikidata":"https://www.wikidata.org/wiki/Q108377937","display_name":"Renal function","level":2,"score":0.4212402403354645},{"id":"https://openalex.org/C2780091579","wikidata":"https://www.wikidata.org/wiki/Q9377","display_name":"Kidney","level":2,"score":0.4136621952056885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38088443875312805},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.328077495098114},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23658287525177002},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20465919375419617},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1885957419872284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13923686742782593},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11777785420417786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-00919-9_44","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-00919-9_44","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":[{"score":0.5799999833106995,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2269899460","https://openalex.org/W2432481613","https://openalex.org/W2464708700","https://openalex.org/W2525606708","https://openalex.org/W2557406251","https://openalex.org/W2613326680","https://openalex.org/W2766426497","https://openalex.org/W2962914239"],"related_works":["https://openalex.org/W2973136608","https://openalex.org/W4221077608","https://openalex.org/W2983365766","https://openalex.org/W4288022876","https://openalex.org/W2999580839","https://openalex.org/W2948809999","https://openalex.org/W4200528772","https://openalex.org/W4386868325","https://openalex.org/W3118494652","https://openalex.org/W4360850309"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}