{"id":"https://openalex.org/W2808552700","doi":"https://doi.org/10.1109/jbhi.2018.2845879","title":"Automated Region of Interest Detection Method in Scintigraphic Glomerular Filtration Rate Estimation","display_name":"Automated Region of Interest Detection Method in Scintigraphic Glomerular Filtration Rate Estimation","publication_year":2018,"publication_date":"2018-06-11","ids":{"openalex":"https://openalex.org/W2808552700","doi":"https://doi.org/10.1109/jbhi.2018.2845879","mag":"2808552700","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994233"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2018.2845879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2845879","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5027160643","display_name":"Xiujuan Zheng","orcid":"https://orcid.org/0000-0002-4703-9530"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujuan Zheng","raw_affiliation_strings":["College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4703-9530","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060505685","display_name":"Wentao Wei","orcid":"https://orcid.org/0000-0002-9466-9922"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Wei","raw_affiliation_strings":["College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073105215","display_name":"Qiu Huang","orcid":"https://orcid.org/0000-0002-2966-6450"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiu Huang","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2966-6450","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087860365","display_name":"Shaoli Song","orcid":"https://orcid.org/0000-0003-2544-7522"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2800570007","display_name":"Renji Hospital","ror":"https://ror.org/03ypbx660","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2800570007"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoli Song","raw_affiliation_strings":["Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I2800570007","https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726056","display_name":"Gang Huang","orcid":"https://orcid.org/0000-0002-5786-7110"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2800570007","display_name":"Renji Hospital","ror":"https://ror.org/03ypbx660","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2800570007"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Huang","raw_affiliation_strings":["Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I2800570007","https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.636,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74163473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"2","first_page":"787","last_page":"794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9945999979972839,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9945999979972839,"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/T10862","display_name":"AI in cancer detection","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.95660001039505,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5379666686058044},{"id":"https://openalex.org/keywords/renal-function","display_name":"Renal function","score":0.41762471199035645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39661556482315063},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21970728039741516},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.14541462063789368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5379666686058044},{"id":"https://openalex.org/C159641895","wikidata":"https://www.wikidata.org/wiki/Q108377937","display_name":"Renal function","level":2,"score":0.41762471199035645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39661556482315063},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21970728039741516},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.14541462063789368}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005919","descriptor_name":"Glomerular Filtration Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005919","descriptor_name":"Glomerular Filtration Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005919","descriptor_name":"Glomerular Filtration Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011877","descriptor_name":"Radionuclide Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016284","descriptor_name":"Technetium Tc 99m Pentetate","qualifier_ui":"Q000031","qualifier_name":"analogs & derivatives","is_major_topic":false},{"descriptor_ui":"D016284","descriptor_name":"Technetium Tc 99m Pentetate","qualifier_ui":"Q000031","qualifier_name":"analogs & derivatives","is_major_topic":false},{"descriptor_ui":"D016284","descriptor_name":"Technetium Tc 99m Pentetate","qualifier_ui":"Q000031","qualifier_name":"analogs & derivatives","is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2018.2845879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2018.2845879","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:29994233","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994233","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G3638354741","display_name":null,"funder_award_id":"81471708","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6739438048","display_name":null,"funder_award_id":"51627807","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6835985801","display_name":"\u9762\u5411\u80bf\u7624\u6cbb\u7597\u76d1\u6d4b\u7684\u591a\u4e2d\u5fc3PET/CT\u5f71\u50cf\u7684\u5b9a\u91cf\u5206\u6790\u7814\u7a76","funder_award_id":"81201146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1951572853","https://openalex.org/W1965007014","https://openalex.org/W1975400383","https://openalex.org/W1976039581","https://openalex.org/W1993881635","https://openalex.org/W2005558284","https://openalex.org/W2006090662","https://openalex.org/W2013642951","https://openalex.org/W2018431410","https://openalex.org/W2029751032","https://openalex.org/W2044250551","https://openalex.org/W2053494049","https://openalex.org/W2058822180","https://openalex.org/W2093363639","https://openalex.org/W2101312463","https://openalex.org/W2111250300","https://openalex.org/W2113745526","https://openalex.org/W2116040950","https://openalex.org/W2129390138","https://openalex.org/W2147427282","https://openalex.org/W2147484997","https://openalex.org/W2165565884","https://openalex.org/W2171417304","https://openalex.org/W2187875598","https://openalex.org/W2254058419","https://openalex.org/W2257883463","https://openalex.org/W2324419763","https://openalex.org/W2344735493","https://openalex.org/W2425900105","https://openalex.org/W2468635548","https://openalex.org/W2535901150","https://openalex.org/W2582079930","https://openalex.org/W2745588067","https://openalex.org/W4251827748","https://openalex.org/W6684466604","https://openalex.org/W6692310202","https://openalex.org/W6728833040"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,48,207],"glomerular":[1],"filtration":[2],"rate":[3],"(GFR)":[4],"is":[5,57],"a":[6,72,96],"crucial":[7],"index":[8],"to":[9,30,53,78,113],"measure":[10],"renal":[11,46,155,162,232],"function.":[12],"In":[13,118,146],"daily":[14],"clinical":[15,148],"practice,":[16],"the":[17,23,28,32,38,41,55,88,106,114,121,125,134,140,168,176,181,185,189,201,211],"GFR":[18,56,83,177,228],"can":[19],"be":[20],"estimated":[21,203],"using":[22,95],"Gates":[24],"method,":[25],"which":[26],"requires":[27],"clinicians":[29],"define":[31],"region":[33],"of":[34,51,152],"interest":[35],"(ROI)":[36],"for":[37,90,224],"kidney":[39,92,116,129],"and":[40,59,66,81,104,139,174,192,226],"corresponding":[42,107],"background":[43,108],"in":[44,128,220,230],"dynamic":[45,231],"scintigraphy.":[47,233],"manual":[49],"placement":[50],"ROIs":[52,109,182],"estimate":[54],"subjective":[58],"labor-intensive,":[60],"however,":[61],"making":[62],"it":[63],"an":[64],"undesirable":[65],"unreliable":[67],"process.":[68],"This":[69],"work":[70],"presents":[71],"fully":[73],"automated":[74,213,221],"ROI":[75,89,130,170,214,222],"detection":[76,131,171,215,223],"method":[77,123,137,187,216],"achieve":[79],"accurate":[80,225],"robust":[82,227],"estimations.":[84],"After":[85],"image":[86],"preprocessing,":[87],"each":[91],"was":[93],"delineated":[94],"shape":[97],"prior":[98],"constrained":[99],"level":[100,142],"set":[101,143],"(spLS)":[102],"algorithm":[103],"then":[105],"were":[110,164],"obtained":[111],"according":[112],"defined":[115],"ROIs.":[117],"computer":[119],"simulations,":[120],"spLS":[122,186],"had":[124,188],"best":[126],"performance":[127],"compared":[132],"with":[133,160,167,200],"previous":[135],"threshold":[136],"(threshold)":[138],"Chan-Vese":[141],"(cvLS)":[144],"method.":[145],"further":[147],"applications,":[149],"223":[150],"sets":[151],"99mTc-diethylenetriaminepentaacetic":[153],"acid":[154],"scintigraphic":[156],"images":[157],"from":[158],"patients":[159],"abnormal":[161],"function":[163],"reviewed.":[165],"Compared":[166],"former":[169],"methods":[172],"(threshold":[173],"cvLS),":[175],"estimations":[178],"based":[179],"on":[180],"derived":[183],"by":[184,204],"highest":[190],"consistency":[191],"correlations":[193],"(r":[194],"=":[195],"0.98,":[196],"p":[197],"<;":[198],"0.001)":[199],"reference":[202],"experienced":[205],"physicians.":[206],"results":[208],"indicate":[209],"that":[210],"proposed":[212],"has":[217],"great":[218],"potential":[219],"estimation":[229]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
