{"id":"https://openalex.org/W3112140981","doi":"https://doi.org/10.1007/978-3-030-64559-5_47","title":"Prostate MRI Registration Using Siamese Metric Learning","display_name":"Prostate MRI Registration Using Siamese Metric Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3112140981","doi":"https://doi.org/10.1007/978-3-030-64559-5_47","mag":"3112140981"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-64559-5_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-64559-5_47","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/A5112590865","display_name":"Alexander Lyons","orcid":null},"institutions":[{"id":"https://openalex.org/I2799496773","display_name":"University Prep","ror":"https://ror.org/056hgyx35","country_code":"US","type":"education","lineage":["https://openalex.org/I2799496773"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Lyons","raw_affiliation_strings":["Columbia Grammar and Preparatory School, New York, NY, 10025, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia Grammar and Preparatory School, New York, NY, 10025, USA","institution_ids":["https://openalex.org/I2799496773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011763169","display_name":"Alberto Rossi","orcid":"https://orcid.org/0000-0003-1688-6961"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]},{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alberto Rossi","raw_affiliation_strings":["Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100, Siena, Italy","Department of Information Engineering, University of Florence, Via di Santa Marta, 50129, Florence, FI, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1688-6961","affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Mathematics, University of Siena, Via Roma 56, 53100, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"Department of Information Engineering, University of Florence, Via di Santa Marta, 50129, Florence, FI, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011763169","https://openalex.org/A5112590865"],"corresponding_institution_ids":["https://openalex.org/I102064193","https://openalex.org/I2799496773","https://openalex.org/I45084792"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26245254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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":0.9983000159263611,"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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9908000230789185,"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"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8184566497802734},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7097273468971252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6804372668266296},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5943793058395386},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5711280703544617},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5397821664810181},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5221924185752869},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5094612240791321},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5061327815055847},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4837534427642822},{"id":"https://openalex.org/keywords/prostate-biopsy","display_name":"Prostate biopsy","score":0.479938805103302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45874080061912537},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.44993215799331665},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4420424997806549},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41700923442840576},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39970362186431885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39349040389060974},{"id":"https://openalex.org/keywords/prostate","display_name":"Prostate","score":0.1825667917728424},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08030560612678528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184566497802734},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7097273468971252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6804372668266296},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5943793058395386},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5711280703544617},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5397821664810181},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5221924185752869},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5094612240791321},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5061327815055847},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4837534427642822},{"id":"https://openalex.org/C2781217009","wikidata":"https://www.wikidata.org/wiki/Q4086927","display_name":"Prostate biopsy","level":4,"score":0.479938805103302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45874080061912537},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.44993215799331665},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4420424997806549},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41700923442840576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39970362186431885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39349040389060974},{"id":"https://openalex.org/C2776235491","wikidata":"https://www.wikidata.org/wiki/Q9625","display_name":"Prostate","level":3,"score":0.1825667917728424},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08030560612678528},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-64559-5_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-64559-5_47","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":0.5099999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1827911007","https://openalex.org/W1901129140","https://openalex.org/W1955055330","https://openalex.org/W1975517671","https://openalex.org/W2019587683","https://openalex.org/W2057615180","https://openalex.org/W2072513344","https://openalex.org/W2087795629","https://openalex.org/W2127589108","https://openalex.org/W2138621090","https://openalex.org/W2156163116","https://openalex.org/W2194775991","https://openalex.org/W2330292521","https://openalex.org/W2346062110","https://openalex.org/W2407362091","https://openalex.org/W2889646458","https://openalex.org/W2911188335","https://openalex.org/W2962914239","https://openalex.org/W2979431346","https://openalex.org/W3091905774"],"related_works":["https://openalex.org/W2426195296","https://openalex.org/W1970834875","https://openalex.org/W2367847708","https://openalex.org/W2135643201","https://openalex.org/W2370810807","https://openalex.org/W2368895820","https://openalex.org/W2156531368","https://openalex.org/W2548524143","https://openalex.org/W2387425358","https://openalex.org/W2542788974"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
