{"id":"https://openalex.org/W7161877861","doi":"https://doi.org/10.1109/isbi61048.2026.11515629","title":"Improving Gradient Flow Methods for Instance Segmentation of Crossing Objects","display_name":"Improving Gradient Flow Methods for Instance Segmentation of Crossing Objects","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161877861","doi":"https://doi.org/10.1109/isbi61048.2026.11515629"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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/A5136532531","display_name":"J. Mabon","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"J. Mabon","raw_affiliation_strings":["Institut Pasteur, Universit&#x00E9; de Paris-Cit&#x00E9;,CNRS UMR 3691, BioImage Analysis Unit,Paris,France,F-75015"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Pasteur, Universit&#x00E9; de Paris-Cit&#x00E9;,CNRS UMR 3691, BioImage Analysis Unit,Paris,France,F-75015","institution_ids":["https://openalex.org/I157536573","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136610285","display_name":"J.-C. Olivo-Marin","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"nonprofit","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.C. Olivo-Marin","raw_affiliation_strings":["Institut Pasteur, Universit&#x00E9; de Paris-Cit&#x00E9;,CNRS UMR 3691, BioImage Analysis Unit,Paris,France,F-75015"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Pasteur, Universit&#x00E9; de Paris-Cit&#x00E9;,CNRS UMR 3691, BioImage Analysis Unit,Paris,France,F-75015","institution_ids":["https://openalex.org/I157536573","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5136532531"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I157536573"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93804193,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.14390000700950623,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.14390000700950623,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.10949999839067459,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11106","display_name":"Data Management and Algorithms","score":0.06909999996423721,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5303000211715698},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.421099990606308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3734000027179718},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3294999897480011},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.3154999911785126},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3093000054359436}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6202999949455261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5425000190734863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5306000113487244},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5303000211715698},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.421099990606308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3734000027179718},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3294999897480011},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3084000051021576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2815999984741211},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27160000801086426},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2639999985694885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1599786999","https://openalex.org/W1901129140","https://openalex.org/W2019062120","https://openalex.org/W2137983211","https://openalex.org/W2194775991","https://openalex.org/W2884131745","https://openalex.org/W2964170444","https://openalex.org/W3111521801","https://openalex.org/W3164786883","https://openalex.org/W4282838920","https://openalex.org/W4283793798","https://openalex.org/W4306411710","https://openalex.org/W4385302628","https://openalex.org/W4387266998"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,27,44,68],"novel":[6],"flow":[7,34,73,90],"tracking":[8],"method":[9],"for":[10],"instance":[11,95,120],"segmentation,":[12],"that":[13,115],"can":[14,53,87],"handle":[15],"crossing":[16,102],"cells":[17],"or":[18],"objects.":[19],"Current":[20],"gradient-flow":[21,56],"approaches":[22],"(e.g.":[23],"Cellpose,":[24],"Omnipose)":[25],"assign":[26],"single":[28],"vector":[29],"to":[30],"each":[31],"pixel;":[32],"when":[33],"tracks":[35],"from":[36],"different":[37],"instances":[38],"intersect,":[39],"the":[40,59,65,78,85],"vectors":[41,57,74],"collapse":[42],"onto":[43],"common":[45],"trajectory,":[46],"causing":[47],"inseparable":[48],"merges.":[49],"Our":[50],"new":[51],"approach":[52],"infer":[54],"multiple":[55],"at":[58],"same":[60],"spatial":[61],"location.":[62],"By":[63],"encoding":[64],"image":[66],"into":[67],"latent":[69],"embedding":[70],"and":[71,81,92,111],"decoding":[72],"conditioned":[75],"on":[76,105],"both":[77],"current":[79],"pixel":[80],"its":[82],"source":[83],"position,":[84],"model":[86],"disambiguate":[88],"intersecting":[89],"lines":[91],"recover":[93],"distinct":[94],"masks":[96],"even":[97],"in":[98],"scenes":[99],"with":[100],"many":[101],"instances.":[103],"Evaluations":[104],"public":[106],"microscopy":[107],"benchmarks":[108],"containing":[109],"overlapping":[110],"elongated":[112],"objects":[113],"show":[114],"our":[116],"multi-flow":[117],"representation":[118],"improves":[119],"segmentation":[121],"without":[122],"sacrificing":[123],"computational":[124],"efficiency.":[125]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}
