{"id":"https://openalex.org/W4282946093","doi":"https://doi.org/10.1109/tmi.2022.3179665","title":"Augmented Equivariant Attention Networks for Microscopy Image Transformation","display_name":"Augmented Equivariant Attention Networks for Microscopy Image Transformation","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4282946093","doi":"https://doi.org/10.1109/tmi.2022.3179665","pmid":"https://pubmed.ncbi.nlm.nih.gov/35648881"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3179665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3179665","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","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/A5102912591","display_name":"Yaochen Xie","orcid":"https://orcid.org/0000-0003-0320-6728"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yaochen Xie","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066523990","display_name":"Yu Ding","orcid":"https://orcid.org/0000-0001-6936-074X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Ding","raw_affiliation_strings":["Michael Barnes ’64 Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Michael Barnes ’64 Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052278550","display_name":"Shuiwang Ji","orcid":"https://orcid.org/0000-0002-4205-4563"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuiwang Ji","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102912591"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.2641,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7410771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"41","issue":"11","first_page":"3194","last_page":"3206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7133405208587646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7077809572219849},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6778937578201294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.619525671005249},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5724886655807495},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5703210234642029},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5388962626457214},{"id":"https://openalex.org/keywords/equivariant-map","display_name":"Equivariant map","score":0.4817471504211426},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4326731264591217},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4318799376487732},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.41360366344451904},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.35011017322540283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1888490617275238}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7133405208587646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7077809572219849},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6778937578201294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.619525671005249},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5724886655807495},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5703210234642029},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5388962626457214},{"id":"https://openalex.org/C171036898","wikidata":"https://www.wikidata.org/wiki/Q256355","display_name":"Equivariant map","level":2,"score":0.4817471504211426},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4326731264591217},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4318799376487732},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.41360366344451904},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.35011017322540283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1888490617275238},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008854","descriptor_name":"Microscopy, Electron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008856","descriptor_name":"Microscopy, Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008856","descriptor_name":"Microscopy, Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008856","descriptor_name":"Microscopy, Fluorescence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2022.3179665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3179665","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:35648881","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35648881","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 medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3132466343","display_name":null,"funder_award_id":"FA9550-18-1-0144","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5560190241","display_name":null,"funder_award_id":"IIS-1849085","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6064654672","display_name":null,"funder_award_id":"DBI- 2028361","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G724342226","display_name":null,"funder_award_id":"IIS-1908220","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2085261163","https://openalex.org/W2117228865","https://openalex.org/W2133665775","https://openalex.org/W2242218935","https://openalex.org/W2344005843","https://openalex.org/W2470673105","https://openalex.org/W2604468722","https://openalex.org/W2625354324","https://openalex.org/W2787020583","https://openalex.org/W2791155853","https://openalex.org/W2866634454","https://openalex.org/W2896457183","https://openalex.org/W2920149494","https://openalex.org/W2950501364","https://openalex.org/W2962730935","https://openalex.org/W2963091558","https://openalex.org/W2963372104","https://openalex.org/W2989433233","https://openalex.org/W2998623274","https://openalex.org/W3001467249","https://openalex.org/W3004063239","https://openalex.org/W3018990562","https://openalex.org/W3099844944","https://openalex.org/W3102779874","https://openalex.org/W3103737870","https://openalex.org/W3104053397","https://openalex.org/W3121644344","https://openalex.org/W3123435446","https://openalex.org/W6690815549","https://openalex.org/W6739901393","https://openalex.org/W6749271710","https://openalex.org/W6758857762"],"related_works":["https://openalex.org/W2005223122","https://openalex.org/W2312819198","https://openalex.org/W3036032503","https://openalex.org/W2186138725","https://openalex.org/W4280622786","https://openalex.org/W2561491196","https://openalex.org/W2319500318","https://openalex.org/W4312753625","https://openalex.org/W2356662304","https://openalex.org/W2376671254"],"abstract_inverted_index":{"It":[0],"is":[1],"time-consuming":[2],"and":[3,13,27,71,110,182,197,215,224],"expensive":[4],"to":[5,25,57,103,106,132,139,167],"take":[6,119],"high-quality":[7,44,76],"or":[8,37,45],"high-resolution":[9,46],"electron":[10],"microscopy":[11,15,62,94],"(EM)":[12],"fluorescence":[14],"(FM)":[16],"images.":[17,115],"Taking":[18],"these":[19,154],"images":[20,77],"could":[21],"be":[22,129],"even":[23],"invasive":[24],"samples":[26,34],"may":[28],"damage":[29],"certain":[30],"subtleties":[31],"in":[32,47,52,124,149,221],"the":[33,48,79,141,158,173,189,194,198,206,210,228],"after":[35],"long":[36],"intense":[38],"exposures,":[39],"often":[40],"necessary":[41],"for":[42],"achieving":[43],"first":[49],"place.":[50],"Advances":[51],"deep":[53],"learning":[54],"enable":[55],"us":[56],"perform":[58],"various":[59],"types":[60],"of":[61,91,121,209],"image-to-image":[63,86,150],"transformation":[64,87,134],"tasks":[65,127,135],"such":[66],"as":[67],"image":[68,125,133],"denoising,":[69],"super-resolution,":[70],"segmentation":[72],"that":[73,118],"computationally":[74],"produce":[75],"from":[78,99],"physically":[80],"acquired":[81,93],"low-quality":[82],"ones.":[83],"When":[84],"training":[85],"models":[88,97],"on":[89,188],"pairs":[90],"experimentally":[92,216],"images,":[95],"prior":[96],"suffer":[98],"performance":[100],"loss":[101],"due":[102],"their":[104],"inability":[105],"capture":[107,168],"inter-image":[108,169,180],"dependencies":[109,181],"common":[111],"features":[112,123,184],"shared":[113,122,183,195],"among":[114],"Existing":[116],"methods":[117],"advantage":[120],"classification":[126],"cannot":[128],"properly":[130],"applied":[131],"because":[136],"they":[137],"fail":[138],"preserve":[140],"equivariance":[142,174,207],"property":[143,208],"under":[144],"spatial":[145],"permutations,":[146],"something":[147],"essential":[148],"transformation.":[151],"To":[152],"address":[153],"limitations,":[155],"we":[156],"propose":[157],"augmented":[159,212],"equivariant":[160],"attention":[161,190,200,213],"networks":[162],"(AEANets)":[163],"with":[164],"better":[165],"capability":[166],"dependencies,":[170],"while":[171],"preserving":[172],"property.":[175],"The":[176],"proposed":[177,211],"AEANets":[178],"captures":[179],"via":[185],"two":[186],"augmentations":[187],"mechanism,":[191],"which":[192],"are":[193],"references":[196],"batch-aware":[199],"during":[201],"training.":[202],"We":[203],"theoretically":[204],"derive":[205],"model":[214],"demonstrate":[217],"its":[218],"consistent":[219],"superiority":[220],"both":[222],"quantitative":[223],"visual":[225],"results":[226],"over":[227],"baseline":[229],"methods.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}