{"id":"https://openalex.org/W4411726905","doi":"https://doi.org/10.1109/iscas56072.2025.11044192","title":"Dual Task Learning: A Semi-Supervised Approach to Medical Image Joint Segmentation and Registration","display_name":"Dual Task Learning: A Semi-Supervised Approach to Medical Image Joint Segmentation and Registration","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411726905","doi":"https://doi.org/10.1109/iscas56072.2025.11044192"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11044192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11044192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5082675058","display_name":"Subrato Bharati","orcid":"https://orcid.org/0000-0001-8849-4313"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Subrato Bharati","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082538217","display_name":"M. N. S. Swamy","orcid":"https://orcid.org/0000-0003-0904-1557"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. N. S. Swamy","raw_affiliation_strings":["Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada,H3G 1M8","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.972100019454956,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.972100019454956,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9664999842643738,"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":0.9387000203132629,"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/computer-science","display_name":"Computer science","score":0.7752209901809692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.698346734046936},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.678527295589447},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6706151962280273},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6526989936828613},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6247485876083374},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6092385649681091},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5320894122123718},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.502007007598877},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.443544864654541},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3759955167770386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3334349989891052},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0848662257194519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752209901809692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.698346734046936},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.678527295589447},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6706151962280273},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6526989936828613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6247485876083374},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6092385649681091},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5320894122123718},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.502007007598877},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.443544864654541},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3759955167770386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3334349989891052},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0848662257194519},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11044192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11044192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2070450901","https://openalex.org/W2084493692","https://openalex.org/W2136145485","https://openalex.org/W2412782625","https://openalex.org/W2624881194","https://openalex.org/W2891631795","https://openalex.org/W2962766617","https://openalex.org/W2963881378","https://openalex.org/W2979378912","https://openalex.org/W2983976417","https://openalex.org/W3112595827","https://openalex.org/W3127859904","https://openalex.org/W3158673744","https://openalex.org/W3176127036","https://openalex.org/W3202230209","https://openalex.org/W4206943318","https://openalex.org/W4281707057","https://openalex.org/W4285089618","https://openalex.org/W4306914348","https://openalex.org/W4311658488","https://openalex.org/W4312694282","https://openalex.org/W4366262872","https://openalex.org/W4391934955","https://openalex.org/W4399401304","https://openalex.org/W4402727107","https://openalex.org/W6739901393","https://openalex.org/W6846418509"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3,81,88],"novel":[4,91],"multi-scale":[5,29],"attention-enhanced":[6],"dual-task":[7],"network,":[8],"MSA-DTNet,":[9],"to":[10,27,31,41,98],"simultaneously":[11],"address":[12],"two":[13],"critical":[14],"tasks,":[15,56],"segmentation":[16,53,70,74],"and":[17,35,38,54,62,129,133,135],"registration.":[18],"MSA-DTNet":[19,113],"is":[20,95],"designed":[21],"for":[22,84],"high-resolution":[23],"3D":[24],"MRI":[25,109],"data":[26],"incorporate":[28],"convolutions":[30],"capture":[32],"both":[33],"local":[34],"global":[36],"features":[37],"attention":[39],"mechanisms":[40],"enhance":[42],"the":[43,77,100,107],"model\u2019s":[44],"focus":[45],"on":[46,106],"key":[47],"anatomical":[48,60],"structures.":[49],"By":[50],"jointly":[51],"optimizing":[52],"registration":[55,78,141],"our":[57],"network":[58],"improves":[59],"consistency":[61],"overall":[63],"performance":[64,148],"in":[65,118,131,140],"medical":[66],"image":[67],"processing.":[68],"The":[69,104],"decoder":[71,79],"produces":[72],"high-quality":[73],"maps,":[75],"while":[76],"outputs":[80],"displacement":[82],"field":[83],"aligning":[85],"images":[86],"with":[87,151],"reference.":[89],"A":[90],"hybrid":[92],"loss":[93],"function":[94],"also":[96,145],"proposed":[97],"optimize":[99],"model":[101,144],"during":[102],"training.":[103],"experiments":[105],"brain":[108],"dataset":[110],"demonstrate":[111],"that":[112],"outperforms":[114],"existing":[115],"state-of-the-art":[116],"networks":[117],"terms":[119],"of":[120],"dice":[121],"score":[122],"(DSC),":[123],"intersection":[124],"over":[125],"union":[126],"(IoU),":[127],"precision":[128],"recall":[130],"segmentation,":[132],"DSC":[134],"mean":[136],"squared":[137],"error":[138],"(MSE)":[139],"tasks.":[142],"Our":[143],"achieves":[146],"significant":[147],"improvements,":[149],"even":[150],"limited":[152],"labeled":[153],"data,":[154],"by":[155],"leveraging":[156],"semi-supervised":[157],"learning.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
