{"id":"https://openalex.org/W4205842361","doi":"https://doi.org/10.1109/jbhi.2021.3139591","title":"Cardiac LGE MRI Segmentation With Cross-Modality Image Augmentation and Improved U-Net","display_name":"Cardiac LGE MRI Segmentation With Cross-Modality Image Augmentation and Improved U-Net","publication_year":2021,"publication_date":"2021-12-31","ids":{"openalex":"https://openalex.org/W4205842361","doi":"https://doi.org/10.1109/jbhi.2021.3139591","pmid":"https://pubmed.ncbi.nlm.nih.gov/34971547"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3139591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3139591","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":null,"display_name":"Xinhua Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Yu","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junxin Chen","orcid":"https://orcid.org/0000-0003-4745-8361"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxin Chen","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4745-8361","affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bo Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Fang","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5987-738X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5987-738X","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Li-bo Zhang","orcid":"https://orcid.org/0000-0002-8705-0435"},"institutions":[{"id":"https://openalex.org/I4210129955","display_name":"General Hospital of Shenyang Military Region","ror":"https://ror.org/0340t0585","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210129955"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-bo Zhang","raw_affiliation_strings":["Department of Radiology, General Hospital of the Northern Theater of the Chinese People&#x2019;s Liberation Army, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-8705-0435","affiliations":[{"raw_affiliation_string":"Department of Radiology, General Hospital of the Northern Theater of the Chinese People&#x2019;s Liberation Army, Shenyang, China","institution_ids":["https://openalex.org/I4210129955"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhihan Lv","orcid":"https://orcid.org/0000-0003-2525-3074"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zhihan Lv","raw_affiliation_strings":["Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-2525-3074","affiliations":[{"raw_affiliation_string":"Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.3658,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.58087247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"27","issue":"2","first_page":"588","last_page":"597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.3208000063896179,"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":0.3208000063896179,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.07670000195503235,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.0608999989926815,"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":0.8174999952316284},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5903000235557556},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5843999981880188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5037999749183655},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.4535999894142151},{"id":"https://openalex.org/keywords/steady-state-free-precession-imaging","display_name":"Steady-state free precession imaging","score":0.4487999975681305},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.420199990272522},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.40119999647140503}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8174999952316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303000092506409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7113999724388123},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5903000235557556},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5843999981880188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5037999749183655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48739999532699585},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.4535999894142151},{"id":"https://openalex.org/C180400216","wikidata":"https://www.wikidata.org/wiki/Q7605197","display_name":"Steady-state free precession imaging","level":3,"score":0.4487999975681305},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.40119999647140503},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C2987145844","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C2776127602","wikidata":"https://www.wikidata.org/wiki/Q5038319","display_name":"Cardiac imaging","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3075000047683716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.303600013256073},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C2776008845","wikidata":"https://www.wikidata.org/wiki/Q5038325","display_name":"Cardiac magnetic resonance imaging","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2624000012874603}],"mesh":[{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005682","descriptor_name":"Gadolinium","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005682","descriptor_name":"Gadolinium","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005682","descriptor_name":"Gadolinium","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009202","descriptor_name":"Cardiomyopathies","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D009202","descriptor_name":"Cardiomyopathies","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D009202","descriptor_name":"Cardiomyopathies","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D009206","descriptor_name":"Myocardium","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009206","descriptor_name":"Myocardium","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009206","descriptor_name":"Myocardium","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2021.3139591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3139591","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:34971547","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34971547","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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5802485872","display_name":null,"funder_award_id":"61802055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6717434564","display_name":null,"funder_award_id":"62171114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G713603030","display_name":null,"funder_award_id":"N2019001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8526955030","display_name":null,"funder_award_id":"52102400","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1496977142","https://openalex.org/W1534026557","https://openalex.org/W1901129140","https://openalex.org/W1998223127","https://openalex.org/W2025362214","https://openalex.org/W2045784023","https://openalex.org/W2078877999","https://openalex.org/W2130686832","https://openalex.org/W2142384624","https://openalex.org/W2160754664","https://openalex.org/W2525945566","https://openalex.org/W2603777577","https://openalex.org/W2767801289","https://openalex.org/W2884292375","https://openalex.org/W2896359486","https://openalex.org/W2905097561","https://openalex.org/W2914410118","https://openalex.org/W2959183777","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963890275","https://openalex.org/W2970152602","https://openalex.org/W2995848654","https://openalex.org/W2998803553","https://openalex.org/W3000997634","https://openalex.org/W3001192030","https://openalex.org/W3002533816","https://openalex.org/W3002765442","https://openalex.org/W3004327470","https://openalex.org/W3004346631","https://openalex.org/W3006040295","https://openalex.org/W3014974815","https://openalex.org/W3033777149","https://openalex.org/W3042482849","https://openalex.org/W3055801575","https://openalex.org/W3091531370","https://openalex.org/W3112311055","https://openalex.org/W3116765708","https://openalex.org/W3127459604","https://openalex.org/W3134287839","https://openalex.org/W3170049569","https://openalex.org/W3171697723","https://openalex.org/W3213069569","https://openalex.org/W3216191633","https://openalex.org/W6631943919","https://openalex.org/W6637568146"],"related_works":[],"abstract_inverted_index":{"Image":[0],"segmentation":[1,24,77,83,105,147],"is":[2,37,52,131,149],"a":[3,53,127],"challenging":[4],"problem":[5],"in":[6,28,87],"imaging":[7,15,60],"informatics,":[8],"which":[9],"stems":[10],"from":[11],"the":[12,63,88,99,104,140,145,152,166,171],"intersection":[13],"of":[14,25,38,65,84,90,170],"techniques,":[16],"computer":[17],"science":[18],"and":[19,46,62,103,156,168],"biomedicine.":[20],"In":[21,69],"particular,":[22],"accurate":[23],"cardiac":[26,33,43],"structures":[27],"late":[29],"gadolinium":[30],"enhancement":[31],"(LGE)":[32],"magnetic":[34],"resonance":[35],"(CMR)":[36],"great":[39],"clinical":[40],"importance":[41],"for":[42,119,158],"function":[44],"assessment":[45],"myocardial":[47],"disease":[48],"diagnosis.":[49],"However,":[50],"it":[51],"well-known":[54],"challenge":[55],"due":[56],"to":[57],"its":[58],"special":[59],"modality":[61],"lack":[64],"labeled":[66,91],"LGE":[67,85,92,136,154,161],"samples.":[68],"this":[70],"paper,":[71],"we":[72],"propose":[73],"an":[74],"unsupervised":[75],"ventricular":[76],"algorithm":[78],"that":[79],"can":[80],"perform":[81],"biventricular":[82],"images":[86,116,137,155],"absence":[89],"data.":[93],"There":[94],"are":[95,117],"two":[96],"primary":[97],"modules,":[98],"data":[100,121],"augmentation":[101,122],"procedure":[102],"network.":[106],"The":[107],"easily":[108],"available":[109],"annotated":[110],"balanced-Steady":[111],"State":[112],"Free":[113],"Precession":[114],"(bSSFP)":[115],"employed":[118],"cross-modal":[120],"by":[123],"image":[124,130],"translation,":[125],"where":[126],"single":[128],"bSSFP":[129],"converted":[132],"into":[133],"multiple":[134],"synthetic":[135,153],"while":[138],"preserving":[139],"original":[141],"morphological":[142],"structure.":[143],"Then,":[144],"proposed":[146,172],"network":[148],"trained":[150],"with":[151],"used":[157],"segmenting":[159],"real":[160],"images.":[162],"Validation":[163],"experiments":[164],"demonstrated":[165],"effectiveness":[167],"advantages":[169],"algorithm.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2022-01-25T00:00:00"}
