{"id":"https://openalex.org/W4318603291","doi":"https://doi.org/10.1109/ssci51031.2022.10022222","title":"Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays","display_name":"Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4318603291","doi":"https://doi.org/10.1109/ssci51031.2022.10022222"},"language":"en","primary_location":{"id":"doi:10.1109/ssci51031.2022.10022222","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci51031.2022.10022222","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","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/A5026677367","display_name":"Helen Schneider","orcid":"https://orcid.org/0000-0002-0418-1828"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Helen Schneider","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039510770","display_name":"Max L\u00fcbbering","orcid":"https://orcid.org/0000-0001-6291-9459"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Max Lubbering","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department of Computerscience, University of Bonn","Department Media Engineering, Fraunhofer IAIS"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department of Computerscience, University of Bonn","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055221938","display_name":"Rebecca Kador","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rebecca Kador","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090362897","display_name":"Maximilian BroB","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maximilian BroB","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101551563","display_name":"Priya Priya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Priya Priya","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055347481","display_name":"David Biesner","orcid":null},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Biesner","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS","Department of Computerscience, University of Bonn"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]},{"raw_affiliation_string":"Department of Computerscience, University of Bonn","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052160383","display_name":"Benjamin Wulff","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benjamin Wulff","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001034983","display_name":"Thiago Bell Felix de Oliveira","orcid":"https://orcid.org/0000-0002-4493-8012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thiago Bell Felix de Oliveira","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091004449","display_name":"Yannik C. Layer","orcid":"https://orcid.org/0000-0002-2379-3352"},"institutions":[{"id":"https://openalex.org/I2799391451","display_name":"University Hospital Bonn","ror":"https://ror.org/01xnwqx93","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2799391451"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yannik C. Layer","raw_affiliation_strings":["University Hospital Bonn,Department of Diagnostic and Interventional Radiology","Department of Diagnostic and Interventional Radiology, University Hospital Bonn"],"affiliations":[{"raw_affiliation_string":"University Hospital Bonn,Department of Diagnostic and Interventional Radiology","institution_ids":["https://openalex.org/I2799391451"]},{"raw_affiliation_string":"Department of Diagnostic and Interventional Radiology, University Hospital Bonn","institution_ids":["https://openalex.org/I2799391451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048153659","display_name":"Ulrike Attenberger","orcid":"https://orcid.org/0000-0002-8123-5447"},"institutions":[{"id":"https://openalex.org/I2799391451","display_name":"University Hospital Bonn","ror":"https://ror.org/01xnwqx93","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2799391451"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulrike I. Attenberger","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS","Department of Diagnostic and Interventional Radiology, University Hospital Bonn"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]},{"raw_affiliation_string":"Department of Diagnostic and Interventional Radiology, University Hospital Bonn","institution_ids":["https://openalex.org/I2799391451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064201630","display_name":"Rafet Sifa","orcid":"https://orcid.org/0009-0004-6680-8210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rafet Sifa","raw_affiliation_strings":["Fraunhofer IAIS,Department Media Engineering","Department Media Engineering, Fraunhofer IAIS"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IAIS,Department Media Engineering","institution_ids":[]},{"raw_affiliation_string":"Department Media Engineering, Fraunhofer IAIS","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5026677367"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1175,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83789852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"543","last_page":"550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995999932289124,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9677000045776367,"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/symmetry","display_name":"Symmetry (geometry)","score":0.6357605457305908},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.562584400177002},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5231395959854126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5189642310142517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.506102979183197},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.5031196475028992},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.35876235365867615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3508608937263489},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.26446816325187683},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20058536529541016},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.19585317373275757},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14296403527259827}],"concepts":[{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.6357605457305908},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.562584400177002},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5231395959854126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5189642310142517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.506102979183197},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.5031196475028992},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.35876235365867615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3508608937263489},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26446816325187683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20058536529541016},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19585317373275757},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14296403527259827},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1109/ssci51031.2022.10022222","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci51031.2022.10022222","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/446361","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/446361","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1978088506","https://openalex.org/W2009245149","https://openalex.org/W2108279544","https://openalex.org/W2115597079","https://openalex.org/W2171590421","https://openalex.org/W2486941167","https://openalex.org/W2549697535","https://openalex.org/W2770511975","https://openalex.org/W2788633781","https://openalex.org/W2801837154","https://openalex.org/W2957629889","https://openalex.org/W2957996027","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W2963466845","https://openalex.org/W2979729779","https://openalex.org/W2986087452","https://openalex.org/W3006087551","https://openalex.org/W3017309755","https://openalex.org/W3085380432","https://openalex.org/W3091905774","https://openalex.org/W3094910079","https://openalex.org/W3105809585","https://openalex.org/W3108907323","https://openalex.org/W3163265670","https://openalex.org/W3196927126","https://openalex.org/W3198276338","https://openalex.org/W3209383403","https://openalex.org/W4293363567","https://openalex.org/W4296071364","https://openalex.org/W6631190155","https://openalex.org/W6803642539"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2961085424","https://openalex.org/W4306743302","https://openalex.org/W2977677679","https://openalex.org/W2079129069","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2367566703","https://openalex.org/W2105818883","https://openalex.org/W2370918718"],"abstract_inverted_index":{"Chest":[0],"X-rays":[1,74],"show":[2],"elements":[3],"of":[4,7,56,72,80,96,104,116,164,173,178,193,201,209,229,235,244,248],"bilateral":[5,20,54,246],"symmetry":[6,55,236,247],"the":[8,34,53,57,70,78,94,102,114,122,129,155,162,165,174,191,202,207,210,215,223,233,240,245,249],"lung":[9,17,39,81,108,126,224,250],"field,":[10,251],"which":[11,119],"can":[12,167,256],"be":[13,168,257],"disturbed":[14],"by":[15,26,146,153,170,183],"various":[16,38],"diseases.":[18,40,82],"These":[19],"differences":[21],"are":[22,144],"taken":[23],"into":[24],"account":[25],"physicians":[27],"during":[28],"routine":[29],"radiology":[30],"examinations":[31],"and":[32,98,124,127,152,180,187],"form":[33],"basis":[35],"for":[36,42,93,136],"diagnosing":[37],"While":[41],"other":[43],"medical":[44,242],"computer":[45],"vision":[46],"tasks":[47],"such":[48],"as":[49],"pelvic":[50],"fracture":[51],"detection":[52],"domain":[58],"is":[59,159],"already":[60],"considered,":[61],"this":[62,84],"has":[63],"not":[64],"yet":[65],"been":[66],"sufficiently":[67],"explored":[68],"in":[69,77,133,176],"evaluation":[71],"chest":[73],"to":[75,185,214,260],"aid":[76],"diagnosis":[79],"To":[83],"end,":[85],"we":[86],"developed":[87],"a":[88,148,227,252],"symmetry-aware":[89,105],"deep":[90],"learning":[91],"architecture":[92,175,220],"classification":[95],"bacterial":[97],"viral":[99],"pneumonia,":[100],"demonstrating":[101],"effectiveness":[103,234],"models":[106],"on":[107,222],"conditions.":[109],"Our":[110,218],"work":[111],"builds":[112],"upon":[113],"idea":[115],"Siamese":[117],"networks,":[118],"independently":[120],"process":[121],"left":[123],"right":[125],"fuse":[128],"two":[130],"learned":[131],"representations":[132],"downstream":[134],"layers":[135],"classification.":[137],"Two":[138],"different":[139],"feature":[140,156],"map":[141],"fusion":[142],"methods":[143],"implemented,":[145],"integrating":[147],"difference":[149],"merging":[150],"layer,":[151],"concatenating":[154],"maps.":[157],"It":[158],"shown":[160],"that":[161,206],"performance":[163],"network":[166,211],"improved":[169],"symmetry-motivated":[171],"adaptation":[172],"terms":[177],"AUROC":[179],"F1":[181],"score":[182],"up":[184],"0.8%":[186],"2.0%,":[188],"respectively,":[189],"without":[190,226],"introduction":[192],"extended":[194],"loss":[195],"functions.":[196],"In":[197],"addition,":[198],"our":[199],"analysis":[200],"activation":[203],"maps":[204],"illustrates":[205],"focus":[208],"improves":[212],"compared":[213],"baseline":[216],"model.":[217],"proposed":[219],"focuses":[221],"lobes":[225],"region":[228],"interest":[230],"crop,":[231],"pinpointing":[232],"incorporation.":[237],"By":[238],"incorporating":[239],"prior":[241],"knowledge":[243],"more":[253],"data-efficient":[254],"algorithm":[255],"developed,":[258],"leading":[259],"comparable":[261],"performances":[262],"with":[263],"fewer":[264],"data":[265],"samples.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
