{"id":"https://openalex.org/W4389960985","doi":"https://doi.org/10.1109/jbhi.2023.3344646","title":"A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping","display_name":"A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping","publication_year":2023,"publication_date":"2023-12-19","ids":{"openalex":"https://openalex.org/W4389960985","doi":"https://doi.org/10.1109/jbhi.2023.3344646","pmid":"https://pubmed.ncbi.nlm.nih.gov/38113158"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3344646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3344646","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/A5027759606","display_name":"Huabing Liu","orcid":"https://orcid.org/0000-0003-1312-3926"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huabing Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1312-3926","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064564558","display_name":"Dong Nie","orcid":"https://orcid.org/0000-0003-0385-8988"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Nie","raw_affiliation_strings":["Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":"https://orcid.org/0000-0003-0385-8988","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643476","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-1250-6319"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1250-6319","affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109000194","display_name":"Jinda Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinda Wang","raw_affiliation_strings":["Sixth Medical Center, Chinese PLA General Hospital, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1830-0469","affiliations":[{"raw_affiliation_string":"Sixth Medical Center, Chinese PLA General Hospital, Beijing, China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101553435","display_name":"Zhenyu Tang","orcid":"https://orcid.org/0000-0002-6998-2669"},"institutions":[{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":null,"type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Tang","raw_affiliation_strings":["School of Computer Science and Engineering and the State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6998-2669","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering and the State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672","https://openalex.org/I4392738276"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027759606"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3532,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61233066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"28","issue":"3","first_page":"1484","last_page":"1493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.8441805839538574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7797777652740479},{"id":"https://openalex.org/keywords/image-warping","display_name":"Image warping","score":0.7633463144302368},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7299245595932007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7135232090950012},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5534619092941284},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5404544472694397},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5234346389770508},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.514481782913208},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49393898248672485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4090285301208496}],"concepts":[{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.8441805839538574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7797777652740479},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.7633463144302368},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7299245595932007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135232090950012},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5534619092941284},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5404544472694397},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5234346389770508},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.514481782913208},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49393898248672485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4090285301208496},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","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":"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3344646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3344646","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:38113158","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38113158","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":[],"awards":[{"id":"https://openalex.org/G3340172105","display_name":null,"funder_award_id":"62073012","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1597458585","https://openalex.org/W1667869507","https://openalex.org/W1881549354","https://openalex.org/W1901129140","https://openalex.org/W1902237438","https://openalex.org/W1910109443","https://openalex.org/W1970928383","https://openalex.org/W1998070036","https://openalex.org/W2013930726","https://openalex.org/W2018662705","https://openalex.org/W2032377318","https://openalex.org/W2066839705","https://openalex.org/W2083099567","https://openalex.org/W2102099319","https://openalex.org/W2103857226","https://openalex.org/W2128806031","https://openalex.org/W2148157540","https://openalex.org/W2157364932","https://openalex.org/W2160905891","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2889970970","https://openalex.org/W2891631795","https://openalex.org/W2899478482","https://openalex.org/W2962914239","https://openalex.org/W2963091558","https://openalex.org/W2963446712","https://openalex.org/W2969361817","https://openalex.org/W2979912832","https://openalex.org/W2986433113","https://openalex.org/W2998092949","https://openalex.org/W3021933917","https://openalex.org/W3026073575","https://openalex.org/W3059354007","https://openalex.org/W3092011095","https://openalex.org/W3214067976","https://openalex.org/W4213089245","https://openalex.org/W4308308119","https://openalex.org/W4385245566","https://openalex.org/W6684665197"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"Deep":[0],"learning":[1,45],"based":[2,46],"multi-atlas":[3,183],"segmentation":[4,15,83,146,184],"(DL-MA)":[5],"has":[6,73],"achieved":[7],"the":[8,26,68,81,122,139,144,158,197,200],"state-of-the-art":[9,187],"performance":[10],"in":[11,89,126,157],"many":[12],"medical":[13],"image":[14,50,141,168],"tasks,":[16],"e.g.,":[17],"brain":[18,161,167],"parcellation.":[19],"In":[20,31],"DL-MA":[21,34,96,124,188],"methods,":[22,35,125],"atlas-target":[23,62,118],"correspondence":[24,37],"is":[25,38,112],"key":[27],"for":[28],"accurate":[29],"segmentation.":[30],"most":[32],"existing":[33,123],"such":[36],"usually":[39],"established":[40],"using":[41,163],"traditional":[42,182],"or":[43],"deep":[44],"registration":[47],"methods":[48,189],"at":[49],"level":[51,56,117],"with":[52,106,121,190],"no":[53],"further":[54],"feature":[55,63,103,116,204],"adaption.":[57],"This":[58],"could":[59],"cause":[60],"possible":[61],"inconsistency.":[64],"As":[65],"a":[66,94,99,107,149],"result,":[67],"information":[69],"from":[70],"atlases":[71],"often":[72],"limited":[74],"positive":[75],"and":[76,171,186],"even":[77],"counteractive":[78],"impact":[79],"on":[80],"final":[82,145],"results.":[84],"To":[85],"tackle":[86],"this":[87,90],"issue,":[88],"paper,":[91],"we":[92],"propose":[93],"new":[95,108],"framework,":[97,128],"where":[98],"novel":[100],"differentiable":[101,202],"atlas":[102,129,203],"warping":[104,205],"module":[105],"smooth":[109],"regularization":[110],"term":[111],"presented":[113],"to":[114,138,148],"establish":[115],"correspondence.":[119],"Comparing":[120],"our":[127,155,178],"features":[130],"containing":[131],"anatomical":[132],"prior":[133],"knowledge":[134],"are":[135],"more":[136],"relevant":[137],"target":[140],"feature,":[142],"leading":[143],"results":[147,175],"high":[150],"accuracy":[151],"level.":[152],"We":[153],"evaluate":[154],"framework":[156,179],"context":[159],"of":[160,199],"parcellation":[162],"two":[164],"public":[165],"MR":[166],"datasets:":[169],"LPBA40":[170],"NIREP-NA0.":[172],"The":[173],"experimental":[174],"demonstrate":[176],"that":[177],"outperforms":[180],"both":[181],"(MAS)":[185],"statistical":[191],"significance.":[192],"Further":[193],"ablation":[194],"studies":[195],"confirm":[196],"effectiveness":[198],"proposed":[201],"module.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
