{"id":"https://openalex.org/W7167260641","doi":"https://doi.org/10.1016/j.acags.2026.100424","title":"3D seismic salt dome segmentation using a hybrid UNet with global attention, denoising pretraining, and discriminative transfer learning","display_name":"3D seismic salt dome segmentation using a hybrid UNet with global attention, denoising pretraining, and discriminative transfer learning","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7167260641","doi":"https://doi.org/10.1016/j.acags.2026.100424"},"language":"en","primary_location":{"id":"doi:10.1016/j.acags.2026.100424","doi":"https://doi.org/10.1016/j.acags.2026.100424","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.acags.2026.100424","pdf_url":null,"source":{"id":"https://openalex.org/S4210236406","display_name":"Applied Computing and Geosciences","issn_l":"2590-1974","issn":["2590-1974"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computing and Geosciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.acags.2026.100424","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098833162","display_name":"Matin Mahzad","orcid":"https://orcid.org/0009-0000-9346-8451","observed_orcids":["https://orcid.org/0009-0000-9346-8451"]},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Matin Mahzad","raw_affiliation_strings":["Institute of Geophysics, University of Tehran, Tehran, Iran"],"raw_orcid":"https://orcid.org/0009-0000-9346-8451","affiliations":[{"raw_affiliation_string":"Institute of Geophysics, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089113551","display_name":"Majid Bagheri","orcid":"https://orcid.org/0000-0003-2059-0194","observed_orcids":["https://orcid.org/0000-0003-2059-0194"]},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Majid Bagheri","raw_affiliation_strings":["Institute of Geophysics, University of Tehran, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0003-2059-0194","affiliations":[{"raw_affiliation_string":"Institute of Geophysics, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5089113551","https://openalex.org/A5098833162"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":{"value":2040,"currency":"USD","value_usd":2040},"apc_paid":{"value":2040,"currency":"USD","value_usd":2040},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39530443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"100424","last_page":"100424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.6093999743461609,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.6093999743461609,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.11169999837875366,"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/T13193","display_name":"Geological Studies and Exploration","score":0.05350000038743019,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/3d-seismic-interpretation","display_name":"3D seismic interpretation","score":0.8140000104904175},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.6100000143051147},{"id":"https://openalex.org/keywords/global-self-attention","display_name":"global self-attention","score":0.9269999861717224},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.906000018119812},{"id":"https://openalex.org/keywords/zechstein-salt","display_name":"Zechstein salt","score":0.8849999904632568},{"id":"https://openalex.org/keywords/focal-loss","display_name":"focal loss","score":0.574999988079071}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6765999794006348},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.642799973487854},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5953999757766724},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5878999829292297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5241000056266785},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5174999833106995},{"id":"https://openalex.org/C199007388","wikidata":"https://www.wikidata.org/wiki/Q943898","display_name":"Diapir","level":3,"score":0.48989999294281006},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4700999855995178},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42260000109672546},{"id":"https://openalex.org/C107729992","wikidata":"https://www.wikidata.org/wiki/Q477449","display_name":"Salt dome","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35420000553131104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3393000066280365},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C113007552","wikidata":"https://www.wikidata.org/wiki/Q631298","display_name":"Salt tectonics","level":4,"score":0.25029999017715454}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.acags.2026.100424","doi":"https://doi.org/10.1016/j.acags.2026.100424","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.acags.2026.100424","pdf_url":null,"source":{"id":"https://openalex.org/S4210236406","display_name":"Applied Computing and Geosciences","issn_l":"2590-1974","issn":["2590-1974"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computing and Geosciences","raw_type":"journal-article"},{"id":"doi:10.2139/ssrn.7049059","doi":"https://doi.org/10.2139/ssrn.7049059","is_oa":true,"landing_page_url":"https://doi.org/10.2139/ssrn.7049059","pdf_url":null,"source":{"id":"https://openalex.org/S4210172589","display_name":"SSRN Electronic Journal","issn_l":"1556-5068","issn":["1556-5068"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1318003438","host_organization_name":"RELX Group (Netherlands)","host_organization_lineage":["https://openalex.org/I1318003438"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.1016/j.acags.2026.100424","doi":"https://doi.org/10.1016/j.acags.2026.100424","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.acags.2026.100424","pdf_url":null,"source":{"id":"https://openalex.org/S4210236406","display_name":"Applied Computing and Geosciences","issn_l":"2590-1974","issn":["2590-1974"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computing and Geosciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1832973934","https://openalex.org/W1964416421","https://openalex.org/W2521278198","https://openalex.org/W2798812533","https://openalex.org/W2810812775","https://openalex.org/W2913647591","https://openalex.org/W2939587785","https://openalex.org/W2962767316","https://openalex.org/W2998123052","https://openalex.org/W2999309192","https://openalex.org/W3160412534","https://openalex.org/W3215333959","https://openalex.org/W4392509048","https://openalex.org/W4397023745","https://openalex.org/W4399020499","https://openalex.org/W4402576139","https://openalex.org/W4406305303","https://openalex.org/W7118126674","https://openalex.org/W7162321028","https://openalex.org/W7211994370"],"related_works":["https://openalex.org/W2970220422","https://openalex.org/W6980907103","https://openalex.org/W7136460006","https://openalex.org/W4403908788","https://openalex.org/W4362670015","https://openalex.org/W4367317938","https://openalex.org/W3112055319","https://openalex.org/W4405766768","https://openalex.org/W4396239544","https://openalex.org/W4404500299"],"abstract_inverted_index":{"Automated":[0],"delineation":[1,213],"of":[2,20,28,43,148,202,214,238],"salt":[3,36,50,86,228,244],"structures":[4],"from":[5,88],"three-dimensional":[6,45],"seismic":[7,49],"data":[8,23],"remains":[9],"a":[10,54,166],"fundamental":[11],"challenge":[12],"in":[13,219],"structural":[14,212],"interpretation,":[15],"constrained":[16],"by":[17,79],"severe":[18],"scarcity":[19],"expert-labeled":[21],"training":[22,73],"and":[24,100,140,189,230],"the":[25,40,89,127,151,159,176,190,198,210,239],"persistent":[26],"tendency":[27],"segmentation":[29],"networks":[30],"to":[31,48,173,225,236],"misclassify":[32],"acquisition":[33],"noise":[34],"as":[35],"boundaries.":[37],"We":[38],"present":[39],"first":[41,211],"application":[42],"unfactorized":[44],"global":[46],"self-attention":[47],"dome":[51],"segmentation,":[52],"within":[53],"hybrid":[55],"UNet":[56],"combining":[57],"volumetric":[58],"convolution":[59],"with":[60,69,175],"complete":[61],"spatial":[62],"context":[63],"modeling.":[64],"The":[65],"model":[66,178],"is":[67],"trained":[68],"self-supervised":[70],"denoising":[71],"pretext":[72,105],"across":[74],"three":[75],"unlabeled":[76],"surveys,":[77],"followed":[78],"discriminative":[80],"transfer":[81],"learning":[82,95],"on":[83,126,197],"binary":[84],"Zechstein":[85,168],"annotations":[87],"Netherlands":[90],"F3":[91,128],"block":[92],"using":[93],"layer-wise":[94],"rate":[96],"decay,":[97],"gradual":[98],"unfreezing,":[99],"Unified":[101],"Focal":[102],"Loss.":[103],"This":[104],"task":[106],"develops":[107],"explicit":[108],"noise-discrimination":[109],"representations":[110],"before":[111],"salt-specific":[112],"supervised":[113],"adaptation,":[114],"providing":[115],"seismic-specific":[116],"initialization":[117],"that":[118],"generic":[119],"contrastive":[120],"or":[121],"masked":[122],"objectives":[123],"cannot.":[124],"Validation":[125],"dataset":[129],"achieved":[130],"Dice":[131,184],"=":[132,135,138,142],"0.843,":[133],"IoU":[134],"0.729,":[136],"Precision":[137],"0.831,":[139],"MCC":[141],"0.829,":[143],"representing":[144],"statistically":[145],"significant":[146,243],"improvements":[147],"5.0\u20139.2%":[149],"over":[150],"state-of-the-art":[152],"3D":[153],"CNN":[154,192],"+":[155],"Swin":[156,187],"architecture.":[157],"On":[158],"spatially":[160],"distinct":[161,227],"blind":[162],"test":[163],"partition":[164],"containing":[165],"large":[167],"diapir,":[169],"performance":[170],"gaps":[171],"widened":[172],"10.8\u201317.9%,":[174],"proposed":[177],"exhibiting":[179],"substantially":[180],"lower":[181],"degradation":[182],"(3.7%":[183],"reduction)":[185],"versus":[186],"(8.7%)":[188],"baseline":[191],"(11.7%).":[193],"Zero-shot":[194],"cross-basin":[195,223],"evaluation":[196],"recently":[199],"released":[200],"Gulf":[201],"America":[203],"OCS":[204],"volume":[205],"(NAMSS":[206],"survey":[207],"B-51-94-LA)":[208],"provides":[209],"Louann":[215],"Salt":[216],"diapir":[217],"geometries":[218],"this":[220],"survey,":[221],"confirming":[222],"generalization":[224],"geologically":[226],"morphologies":[229],"constituting":[231],"an":[232],"original":[233],"geoscientific":[234],"contribution":[235],"one":[237],"world's":[240],"most":[241],"tectonically":[242],"provinces.":[245]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-07-04T00:00:00"}