{"id":"https://openalex.org/W2791633654","doi":"https://doi.org/10.1117/12.2291534","title":"Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks","display_name":"Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2791633654","doi":"https://doi.org/10.1117/12.2291534","mag":"2791633654"},"language":"en","primary_location":{"id":"doi:10.1117/12.2291534","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2291534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"},"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/A5011342579","display_name":"Joshua V. Stough","orcid":null},"institutions":[{"id":"https://openalex.org/I131221577","display_name":"Bucknell University","ror":"https://ror.org/00fc1qt65","country_code":"US","type":"education","lineage":["https://openalex.org/I131221577"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua V. Stough","raw_affiliation_strings":["Bucknell Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bucknell Univ. (United States)","institution_ids":["https://openalex.org/I131221577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080286505","display_name":"J R DiPalma","orcid":null},"institutions":[{"id":"https://openalex.org/I131221577","display_name":"Bucknell University","ror":"https://ror.org/00fc1qt65","country_code":"US","type":"education","lineage":["https://openalex.org/I131221577"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph DiPalma","raw_affiliation_strings":["Bucknell Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bucknell Univ. (United States)","institution_ids":["https://openalex.org/I131221577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438499","display_name":"Zilin Ma","orcid":"https://orcid.org/0000-0002-7259-9353"},"institutions":[{"id":"https://openalex.org/I131221577","display_name":"Bucknell University","ror":"https://ror.org/00fc1qt65","country_code":"US","type":"education","lineage":["https://openalex.org/I131221577"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zilin Ma","raw_affiliation_strings":["Bucknell Univ. (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bucknell Univ. (United States)","institution_ids":["https://openalex.org/I131221577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007125758","display_name":"Christopher M. Haggerty","orcid":"https://orcid.org/0000-0002-3227-4490"},"institutions":[{"id":"https://openalex.org/I54713919","display_name":"Geisinger Health System","ror":"https://ror.org/02qdbgx97","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I54713919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher M. Haggerty","raw_affiliation_strings":["Geisinger Health System (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geisinger Health System (United States)","institution_ids":["https://openalex.org/I54713919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066640136","display_name":"Brandon K. Fornwalt","orcid":"https://orcid.org/0000-0002-6231-9442"},"institutions":[{"id":"https://openalex.org/I54713919","display_name":"Geisinger Health System","ror":"https://ror.org/02qdbgx97","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I54713919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon K. Fornwalt","raw_affiliation_strings":["Geisinger Health System (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geisinger Health System (United States)","institution_ids":["https://openalex.org/I54713919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0366,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68919308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"77","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9909999966621399,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9879000186920166,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9832000136375427,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8101180791854858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6373083591461182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5941274762153625},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5818279981613159},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3993716537952423}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8101180791854858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6373083591461182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5941274762153625},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5818279981613159},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3993716537952423}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2291534","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2291534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W151677508","https://openalex.org/W621251951","https://openalex.org/W1038736503","https://openalex.org/W1579760457","https://openalex.org/W1589124700","https://openalex.org/W1872336954","https://openalex.org/W1987512289","https://openalex.org/W1987869189","https://openalex.org/W2001992768","https://openalex.org/W2037232743","https://openalex.org/W2065768018","https://openalex.org/W2109178950","https://openalex.org/W2146308017","https://openalex.org/W2255189008","https://openalex.org/W2274227799","https://openalex.org/W2295802084","https://openalex.org/W2337438617","https://openalex.org/W2383054361","https://openalex.org/W2593228870","https://openalex.org/W4205182665","https://openalex.org/W6606228054","https://openalex.org/W6619464707","https://openalex.org/W6626845907","https://openalex.org/W6639388496","https://openalex.org/W6647239282","https://openalex.org/W6650869580","https://openalex.org/W6659610330","https://openalex.org/W6666624717","https://openalex.org/W6676200941","https://openalex.org/W6691696835","https://openalex.org/W6694145732","https://openalex.org/W6703635231","https://openalex.org/W6710040845","https://openalex.org/W6734450453"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4293226380","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,17,20,25,66,85,129,146,164,172,185],"heart":[2,60],"substructures":[3,61],"in":[4,13,62,190],"cardiac":[5],"magnetic":[6],"resonance":[7],"(CMR)":[8],"is":[9,35],"an":[10],"important":[11],"step":[12],"the":[14,18,67,132,152,167,181,186,191],"quantitative":[15],"assessment":[16],"impact":[19],"cardiovascular":[21],"disease.":[22],"Manual":[23],"delineation":[24],"these":[26],"structures,":[27],"over":[28],"many":[29],"patients":[30],"and":[31,38,43,92,103,121,138,149,156,161,174],"multiple":[32],"time":[33,36,101],"phases,":[34],"consuming":[37],"prone":[39],"to":[40,57,80],"human":[41],"error":[42],"fatigue.":[44],"In":[45],"this":[46],"work":[47],"we":[48],"use":[49],"a":[50,71,81],"deep":[51],"fully":[52,182],"convolutional":[53],"neural":[54],"network":[55],"architecture":[56],"automatically":[58,88,112],"segment":[59],"CMR,":[63],"achieving":[64],"state":[65],"art":[68],"results":[69,114,177],"on":[70,131,151],"recent":[72],"benchmark":[73],"dataset.":[74],"We":[75,109,141],"further":[76,157],"apply":[77],"our":[78,111],"process":[79],"much":[82],"larger":[83],"study":[84],"CMR":[86,187],"subjects,":[87],"segmenting":[89],"both":[90],"left":[91],"right":[93],"ventricular":[94],"endocardiums":[95],"(LV,":[96],"RV)":[97],"with":[98],"full":[99],"thirty-phase":[100],"resolution,":[102],"LV":[104,139],"epicardium":[105],"(Epi)":[106],"at":[107],"end-diastole.":[108],"validate":[110],"obtained":[113],"against":[115],"manual":[116],"delineations":[117],"using":[118],"Dice":[119,144],"overlap":[120],"Hausdorff":[122],"distance,":[123],"as":[124,126],"well":[125],"Bland-Altman":[127],"limits":[128,163],"agreement":[130,165],"derived":[133],"blood":[134],"volumes,":[135],"ejection":[136],"fraction,":[137],"mass.":[140,175],"obtain":[142],"median":[143],"overlaps":[145],"0.97,":[147],"0.94,":[148],"0.97":[150],"three":[153],"structures":[154],"respectively,":[155],"find":[158],"small":[159],"biases":[160],"narrow":[162],"between":[166],"two":[168],"assessments":[169],"(manual,":[170],"automatic)":[171],"volumes":[173],"Our":[176],"show":[178],"promise":[179],"for":[180],"automated":[183],"analysis":[184],"data":[188],"stream":[189],"near":[192],"future.":[193]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}