{"id":"https://openalex.org/W2116201643","doi":"https://doi.org/10.1109/isbi.2011.5872736","title":"Reusable modules for high-content 3D and 4D image analysis","display_name":"Reusable modules for high-content 3D and 4D image analysis","publication_year":2011,"publication_date":"2011-03-01","ids":{"openalex":"https://openalex.org/W2116201643","doi":"https://doi.org/10.1109/isbi.2011.5872736","mag":"2116201643"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2011.5872736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045981348","display_name":"Olaf Ronneberger","orcid":"https://orcid.org/0000-0002-4266-1515"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Olaf Ronneberger","raw_affiliation_strings":["BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg im Breisgau, Germany","Image Analysis Lab, Computer Science Department, University of Freiburg, Georges-Koehler-Allee Geb. 052, 79110, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg im Breisgau, Germany","institution_ids":["https://openalex.org/I161046081"]},{"raw_affiliation_string":"Image Analysis Lab, Computer Science Department, University of Freiburg, Georges-Koehler-Allee Geb. 052, 79110, Germany","institution_ids":["https://openalex.org/I161046081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045981348"],"corresponding_institution_ids":["https://openalex.org/I161046081"],"apc_list":null,"apc_paid":null,"fwci":1.4366,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84824005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6376","issue":null,"first_page":"1719","last_page":"1722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9829999804496765,"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":0.9829999804496765,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9778000116348267,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7077409029006958},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6851182579994202},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5784209370613098},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.535532534122467},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.49993324279785156},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4525146782398224},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.451835960149765},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3914804756641388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16654828190803528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077409029006958},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6851182579994202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5784209370613098},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.535532534122467},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.49993324279785156},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4525146782398224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.451835960149765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3914804756641388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16654828190803528},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2011.5872736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2011.5872736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W192956509","https://openalex.org/W1484494858","https://openalex.org/W1503102990","https://openalex.org/W1522573305","https://openalex.org/W1546543530","https://openalex.org/W1551164181","https://openalex.org/W1563497966","https://openalex.org/W1595465731","https://openalex.org/W1865810505","https://openalex.org/W1867429401","https://openalex.org/W1981481405","https://openalex.org/W2106321064","https://openalex.org/W2139266294","https://openalex.org/W2152484764","https://openalex.org/W2169092565","https://openalex.org/W6607826858","https://openalex.org/W6630292639","https://openalex.org/W6632807641","https://openalex.org/W6639126518","https://openalex.org/W6639183540"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2082269393"],"abstract_inverted_index":{"Fully":[0],"automated":[1],"high-throughput":[2],"and":[3,150],"high-content":[4],"experiments":[5],"need":[6],"reusable":[7],"general":[8,60,112],"modules,":[9],"that":[10,37,72,98],"can":[11,119],"be":[12,120],"combined":[13],"in":[14,51,75,106,147,156],"a":[15],"flexible":[16],"way":[17],"to":[18],"build":[19],"the":[20,24,35,40,49,55,63,84,87,100,137,142,151],"solution.":[21],"Even":[22],"though":[23],"biological":[25],"objects":[26],"or":[27,45,66],"structures":[28,41,118],"may":[29],"not":[30],"share":[31],"any":[32],"common":[33],"features,":[34],"transformations":[36],"act":[38],"on":[39,122],"(like":[42],"rotations,":[43],"translations":[44],"deformations)":[46],"are":[47,81],"nearly":[48],"same":[50],"every":[52,104],"experiment.":[53],"In":[54],"talk":[56],"I":[57],"will":[58],"show":[59],"concepts":[61,134],"for":[62,114],"detection,":[64],"recognition":[65],"comparison":[67],"of":[68,103,116,132,139,145,153],"complex":[69,117],"high-level":[70],"structures,":[71],"we":[73],"use":[74],"our":[76],"daily":[77],"work.":[78],"Invariant":[79],"features":[80],"computed":[82],"by":[83],"integration":[85],"over":[86],"transformation":[88],"group.":[89],"Rotation-invariant":[90],"detection":[91,144],"is":[92],"done":[93],"using":[94],"an":[95],"image":[96],"representation":[97],"encodes":[99],"local":[101],"surrounding":[102],"voxel":[105],"spherical":[107],"harmonics":[108],"basis":[109],"functions.":[110],"A":[111],"module":[113],"tracking":[115],"based":[121],"recent":[123],"high":[124],"accuracy":[125],"optical":[126],"flow":[127],"methods.":[128],"The":[129],"successful":[130],"applications":[131],"these":[133],"are,":[135],"e.g.,":[136],"classification":[138],"pollen":[140],"grains,":[141],"rotation-invariant":[143],"landmarks":[146],"zebrafish":[148],"embryos":[149],"analysis":[152],"growth":[154],"patterns":[155],"frog":[157],"kidney.":[158]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
