{"id":"https://openalex.org/W4409683529","doi":"https://doi.org/10.1109/tnnls.2025.3555188","title":"Synchronous Image-Label Diffusion Probability Model With Application to Stroke Lesion Segmentation on Non-Contrast CT","display_name":"Synchronous Image-Label Diffusion Probability Model With Application to Stroke Lesion Segmentation on Non-Contrast CT","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409683529","doi":"https://doi.org/10.1109/tnnls.2025.3555188","pmid":"https://pubmed.ncbi.nlm.nih.gov/40261775"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3555188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3555188","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","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/A5100618158","display_name":"Jianhai Zhang","orcid":"https://orcid.org/0000-0002-0330-6908"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhai Zhang","raw_affiliation_strings":["School of Life Science and Technology, Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0330-6908","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101221376","display_name":"Tonghua Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tonghua Wan","raw_affiliation_strings":["School of Life Science and Technology, Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0008-1709-875X","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012020840","display_name":"M. Ethan MacDonald","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Ethan MacDonald","raw_affiliation_strings":["Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5421-3536","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080305729","display_name":"Bijoy K. Menon","orcid":"https://orcid.org/0000-0002-3466-496X"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bijoy Menon","raw_affiliation_strings":["Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3466-496X","affiliations":[{"raw_affiliation_string":"Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027568070","display_name":"Aravind Ganesh","orcid":"https://orcid.org/0000-0001-5520-2070"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aravind Ganesh","raw_affiliation_strings":["Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5520-2070","affiliations":[{"raw_affiliation_string":"Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030075105","display_name":"Wu Qiu","orcid":"https://orcid.org/0000-0001-7827-8270"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Qiu","raw_affiliation_strings":["School of Life Science and Technology, Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7827-8270","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Advanced Biomedical Imaging Facility, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100618158"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":3.5947,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92196124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"36","issue":"9","first_page":"16035","last_page":"16048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9732000231742859,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9732000231742859,"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":0.945900022983551,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9333000183105469,"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/contrast","display_name":"Contrast (vision)","score":0.6783730983734131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5368737578392029},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.5165969133377075},{"id":"https://openalex.org/keywords/lesion","display_name":"Lesion","score":0.5115523934364319},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.496420681476593},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.42310208082199097},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4185889959335327},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4080747365951538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40241551399230957},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.37832674384117126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3740119934082031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33362215757369995},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.17287272214889526},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11058405041694641}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6783730983734131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5368737578392029},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.5165969133377075},{"id":"https://openalex.org/C2781156865","wikidata":"https://www.wikidata.org/wiki/Q827023","display_name":"Lesion","level":2,"score":0.5115523934364319},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.496420681476593},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.42310208082199097},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4185889959335327},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4080747365951538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40241551399230957},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.37832674384117126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3740119934082031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33362215757369995},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.17287272214889526},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11058405041694641},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3555188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3555188","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40261775","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40261775","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 transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5480876468","display_name":null,"funder_award_id":"2023YFC2410802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335885","display_name":"High Performance Computing Platform of Jiangsu University","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W238700262","https://openalex.org/W1909740415","https://openalex.org/W2000111801","https://openalex.org/W2217077692","https://openalex.org/W2602181220","https://openalex.org/W2753709519","https://openalex.org/W2884436604","https://openalex.org/W2963046541","https://openalex.org/W3013380130","https://openalex.org/W3014974815","https://openalex.org/W3035180180","https://openalex.org/W3042519501","https://openalex.org/W3148874463","https://openalex.org/W3163636929","https://openalex.org/W3165437001","https://openalex.org/W3204589175","https://openalex.org/W4206706211","https://openalex.org/W4212875960","https://openalex.org/W4221163766","https://openalex.org/W4310731246","https://openalex.org/W4311403843","https://openalex.org/W4313142698","https://openalex.org/W4313181088","https://openalex.org/W4313571729","https://openalex.org/W4319866562","https://openalex.org/W4385537492","https://openalex.org/W4386057777","https://openalex.org/W4387910697","https://openalex.org/W4401634900"],"related_works":["https://openalex.org/W2075740387","https://openalex.org/W2069592018","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2998542275"],"abstract_inverted_index":{"The":[0,82,185],"stroke":[1,16,69,192],"lesion":[2,49,70,193],"volume":[3,50],"is":[4,20,66,85,132,215],"a":[5,58,75,89,96,128],"key":[6],"radiologic":[7],"measurement":[8],"for":[9,48,68,142],"assessing":[10],"the":[11,37,110,117,120,136,145,150,154,159,164,182,219],"prognosis":[12],"of":[13,39,45,119,170],"acute":[14],"ischemic":[15],"(AIS)":[17],"patients,":[18],"which":[19,177],"challenging":[21],"to":[22,101,134,181,217],"be":[23],"automatically":[24],"measured":[25],"on":[26,52,72,88,190],"noncontrast":[27],"CT":[28],"(NCCT)":[29],"scans.":[30],"Recent":[31],"diffusion":[32,62,77],"probabilistic":[33,97],"models":[34],"(DPMs)":[35],"in":[36,172],"domain":[38],"image":[40],"generation":[41,113],"have":[42],"shown":[43],"potentials":[44],"being":[46],"used":[47],"segmentation":[51,71,107,209],"medical":[53],"images.":[54],"In":[55],"this":[56],"article,":[57],"novel":[59],"synchronous":[60],"image-label":[61],"probability":[63],"model":[64,93,156,187,214],"(SDPM)":[65],"proposed":[67,83,183,186,212],"NCCT":[73],"using":[74,109],"dual-Markov":[76],"process":[78],"with":[79,127,140,203],"shared":[80],"noise.":[81],"SDPM":[84,213],"fully":[86],"based":[87],"generative":[90],"latent":[91],"variable":[92],"(LVM),":[94],"offering":[95],"elaboration":[98],"from":[99,112],"stem":[100],"stem.":[102],"To":[103],"fit":[104],"into":[105],"our":[106,211],"tasks":[108],"strength":[111],"models,":[114],"we":[115],"develop":[116],"architecture":[118],"network":[121],"where":[122],"an":[123],"additional":[124],"net-stream,":[125],"parallel":[126],"noise":[129,141],"prediction":[130],"stream,":[131],"introduced":[133],"obtain":[135],"initial":[137],"label":[138,161],"estimates":[139,162],"efficiently":[143],"inferring":[144],"final":[146,160],"labels.":[147],"By":[148],"optimizing":[149],"specified":[151],"variational":[152],"boundaries,":[153],"trained":[155],"can":[157],"infer":[158],"given":[163],"input":[165],"images":[166],"at":[167],"any":[168],"scale":[169],"time":[171],"four":[173],"different":[174],"label-inference":[175],"methods,":[176,210],"gives":[178],"more":[179],"flexibility":[180],"SDPM.":[184],"was":[188],"assessed":[189],"three":[191],"datasets":[194],"including":[195],"one":[196],"public":[197],"and":[198,207],"two":[199],"private":[200],"datasets.":[201],"Compared":[202],"several":[204],"U-Net,":[205],"transformer,":[206],"DPM-based":[208],"able":[216],"achieve":[218],"state-of-the-art":[220],"accuracy.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}