{"id":"https://openalex.org/W4392903001","doi":"https://doi.org/10.1109/icassp48485.2024.10446167","title":"SSHNN: Semi-Supervised Hybrid NAS Network for Echocardiographic Image Segmentation","display_name":"SSHNN: Semi-Supervised Hybrid NAS Network for Echocardiographic Image Segmentation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903001","doi":"https://doi.org/10.1109/icassp48485.2024.10446167"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5114081733","display_name":"Renqi Chen","orcid":"https://orcid.org/0009-0001-6855-7900"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renqi Chen","raw_affiliation_strings":["Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China","Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077199212","display_name":"Jingjing Luo","orcid":"https://orcid.org/0000-0002-3222-1276"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Luo","raw_affiliation_strings":["Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China","Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Engineering Research Center of AI and Robotics, Ministry of Education, Shanghai, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109713495","display_name":"Fan Nian","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Nian","raw_affiliation_strings":["Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072828470","display_name":"Yuhui Cen","orcid":"https://orcid.org/0000-0002-6140-7248"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Cen","raw_affiliation_strings":["Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087604054","display_name":"Yiheng Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiheng Peng","raw_affiliation_strings":["Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030890710","display_name":"Zekuan Yu","orcid":"https://orcid.org/0000-0003-3655-872X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zekuan Yu","raw_affiliation_strings":["Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,Institute of AI&Robotics, Academy for Engineering&Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1541","last_page":"1545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.994700014591217,"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":0.9937999844551086,"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":0.804236888885498},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6731505393981934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.655683159828186},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6169989109039307},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5519992113113403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5121857523918152},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4843641221523285},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4826012849807739},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46345776319503784},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.44117119908332825},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4106147885322571},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36620762944221497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.804236888885498},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6731505393981934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.655683159828186},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6169989109039307},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5519992113113403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5121857523918152},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4843641221523285},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4826012849807739},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46345776319503784},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.44117119908332825},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4106147885322571},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36620762944221497},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10446167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1700255511","display_name":null,"funder_award_id":"2022YFC3601401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1783322040","display_name":null,"funder_award_id":"2022YFC361400/2022YFC3601401","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3208788829","display_name":null,"funder_award_id":"U1913216","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6769241423","display_name":null,"funder_award_id":"U1913216","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W2412782625","https://openalex.org/W2560023338","https://openalex.org/W2787091153","https://openalex.org/W2907750714","https://openalex.org/W2915232829","https://openalex.org/W2927980542","https://openalex.org/W2951104886","https://openalex.org/W2951970475","https://openalex.org/W2953070460","https://openalex.org/W2953129827","https://openalex.org/W2963136578","https://openalex.org/W2996290406","https://openalex.org/W2996409713","https://openalex.org/W3035071066","https://openalex.org/W3094502228","https://openalex.org/W3127751679","https://openalex.org/W3134117607","https://openalex.org/W3138516171","https://openalex.org/W3167017747","https://openalex.org/W3204166336","https://openalex.org/W4321766254","https://openalex.org/W4360860510","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6733814495","https://openalex.org/W6752515464","https://openalex.org/W6764051988","https://openalex.org/W6771784742","https://openalex.org/W6780403304","https://openalex.org/W6784333009","https://openalex.org/W6790275670","https://openalex.org/W6791209515"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Accurate":[0],"medical":[1,77,144],"image":[2,78,145],"segmentation":[3,25,79],"especially":[4],"for":[5,75,110],"echocardiographic":[6],"images":[7],"with":[8,16,126],"unmissable":[9],"noise":[10],"requires":[11],"elaborate":[12],"network":[13,74],"design.":[14],"Compared":[15],"manual":[17],"design,":[18],"Neural":[19],"Architecture":[20],"Search":[21],"(NAS)":[22],"realizes":[23,160],"better":[24],"results":[26],"due":[27],"to":[28,56,97,121,136],"larger":[29],"search":[30],"space":[31],"and":[32,47,60,116,159],"automatic":[33],"optimization,":[34],"but":[35],"most":[36],"of":[37,94,113,142],"the":[38,111,138],"existing":[39],"methods":[40],"are":[41,108],"weak":[42,52],"in":[43,89],"layer-wise":[44,90],"feature":[45,91],"aggregation":[46],"adopt":[48],"a":[49,69,103,132],"\"strong":[50],"encoder,":[51],"decoder\"":[53],"structure,":[54],"insufficient":[55],"handle":[57],"global":[58,114,124],"relationships":[59],"local":[61,127],"details.":[62],"To":[63],"resolve":[64],"these":[65],"issues,":[66],"we":[67,84,130],"propose":[68],"novel":[70],"semi-supervised":[71,133],"hybrid":[72],"NAS":[73,102],"accurate":[76,161],"termed":[80],"SSHNN.":[81],"In":[82],"SSHNN,":[83],"creatively":[85],"use":[86],"convolution":[87],"operation":[88],"fusion":[92],"instead":[93],"normalized":[95],"scalars":[96],"avoid":[98],"losing":[99],"details,":[100],"making":[101],"stronger":[104],"encoder.":[105],"Moreover,":[106],"Transformers":[107],"introduced":[109],"compensation":[112],"context":[115,125],"U-shaped":[117],"decoder":[118],"is":[119],"designed":[120],"efficiently":[122],"connect":[123],"features.":[128],"Specifically,":[129],"implement":[131],"algorithm":[134],"Mean-Teacher":[135],"overcome":[137],"limited":[139],"volume":[140],"problem":[141],"labeled":[143],"dataset.":[146],"Extensive":[147],"experiments":[148],"on":[149],"CAMUS":[150],"echocardiography":[151],"dataset":[152],"demonstrate":[153],"that":[154],"SSHNN":[155],"outperforms":[156],"state-of-the-art":[157],"approaches":[158],"segmentation.":[162],"Code":[163],"will":[164],"be":[165],"made":[166],"publicly":[167],"available.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}