{"id":"https://openalex.org/W21794325","doi":null,"title":"A Comparative Study of Robust Feature Detectors for 2D Electrophoresis Gel Image Registration.","display_name":"A Comparative Study of Robust Feature Detectors for 2D Electrophoresis Gel Image Registration.","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W21794325","mag":"21794325"},"language":"en","primary_location":{"id":"mag:21794325","doi":null,"is_oa":false,"landing_page_url":"https://subs.emis.de/LNI/Proceedings/Proceedings136/gi-proc-136-014.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418482","display_name":"German Conference on Bioinformatics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"German Conference on Bioinformatics","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Birgit M\u00f6ller","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Birgit M\u00f6ller","raw_affiliation_strings":["Martin-Luther-University of Halle Wittenberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Martin-Luther-University of Halle Wittenberg","institution_ids":["https://openalex.org/I68956291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103677131","display_name":"Oliver Gre\u00df","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oliver Gress","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019561227","display_name":"Stefan Posch","orcid":"https://orcid.org/0000-0002-2688-8701","observed_orcids":["https://orcid.org/0000-0002-2688-8701"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Posch","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2688-8701","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2717,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3730163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.5127000212669373,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.5127000212669373,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.07859999686479568,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.0575999990105629,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/two-dimensional-electrophoresis","display_name":"two-dimensional gel electrophoresis","score":0.8349999785423279},{"id":"https://openalex.org/keywords/image-registration","display_name":"image registration","score":0.9100000262260437},{"id":"https://openalex.org/keywords/feature-detectors","display_name":"feature detectors","score":0.8059999942779541},{"id":"https://openalex.org/keywords/protein-spot-detection","display_name":"protein spot detection","score":0.5730000138282776},{"id":"https://openalex.org/keywords/thin-plate-splines","display_name":"thin-plate splines","score":0.8840000033378601},{"id":"https://openalex.org/keywords/positioning-accuracy","display_name":"positioning accuracy","score":0.8619999885559082}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6972709894180298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6967030167579651},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6412979960441589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6142137050628662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5609405040740967},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5558960437774658},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.48997560143470764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4677923619747162},{"id":"https://openalex.org/C154020017","wikidata":"https://www.wikidata.org/wiki/Q520171","display_name":"Repeatability","level":2,"score":0.45479491353034973},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43942737579345703},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4383503198623657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28244102001190186},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08916857838630676},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:21794325","doi":null,"is_oa":false,"landing_page_url":"https://subs.emis.de/LNI/Proceedings/Proceedings136/gi-proc-136-014.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418482","display_name":"German Conference on Bioinformatics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"German Conference on Bioinformatics","raw_type":null}],"best_oa_location":null,"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/W9262937","https://openalex.org/W607467224","https://openalex.org/W812859843","https://openalex.org/W1507924120","https://openalex.org/W1677409904","https://openalex.org/W1976655836","https://openalex.org/W1992223394","https://openalex.org/W1992310393","https://openalex.org/W2033819227","https://openalex.org/W2056465853","https://openalex.org/W2060372462","https://openalex.org/W2094988625","https://openalex.org/W2099046646","https://openalex.org/W2111308925","https://openalex.org/W2128409098","https://openalex.org/W2130929797","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2159069738","https://openalex.org/W2172188317"],"related_works":["https://openalex.org/W2059066196","https://openalex.org/W2156466421","https://openalex.org/W2114236424","https://openalex.org/W7098902383","https://openalex.org/W2051649371","https://openalex.org/W2099831666","https://openalex.org/W2005226747","https://openalex.org/W2613436411","https://openalex.org/W7097618059","https://openalex.org/W2000873004"],"abstract_inverted_index":{"In":[0],"this":[1],"study":[2,44],"we":[3],"consider":[4],"the":[5,13,16,66,69],"performance":[6,62],"of":[7,18,71],"different":[8],"feature":[9],"detectors":[10,28],"used":[11,30],"as":[12],"basis":[14],"for":[15],"registration":[17],"images":[19,46,82],"from":[20,47],"two-dimensional":[21],"gel":[22],"electrophoresis.":[23],"These":[24],"are":[25,54],"three":[26],"spot":[27],"also":[29],"to":[31,75],"identify":[32],"proteins,":[33],"and":[34,80],"two":[35],"domain":[36],"independent":[37],"keypoint":[38],"detectors.":[39],"We":[40],"conduct":[41],"a":[42,48],"case":[43],"with":[45,83],"publically":[49],"available":[50],"data":[51],"set":[52],"which":[53],"synthetically":[55],"distorted":[56,81],"using":[57],"thin":[58],"plate":[59],"splines.":[60],"The":[61],"is":[63],"assessed":[64],"by":[65],"repeatability":[67],"score,":[68],"probability":[70],"an":[72],"image":[73],"structure":[74],"be":[76],"detected":[77],"in":[78],"original":[79],"reasonable":[84],"localization":[85],"accuracy.":[86]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}