{"id":"https://openalex.org/W4406260792","doi":"https://doi.org/10.1109/bibm62325.2024.10822207","title":"ADTAH: Neuron 3D Reconstruction Via Adaptive Distance Transformation and Adaptive Hessian Matrix","display_name":"ADTAH: Neuron 3D Reconstruction Via Adaptive Distance Transformation and Adaptive Hessian Matrix","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406260792","doi":"https://doi.org/10.1109/bibm62325.2024.10822207"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5111363034","display_name":"Chenyue Song","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyue Song","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740183","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-6427-3946"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054864573","display_name":"Feng Jiang","orcid":"https://orcid.org/0000-0001-8342-1211"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Jiang","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Deqin Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqin Zheng","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080946698","display_name":"Ruichen Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichen Gao","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001634212","display_name":"Haiqi Zhu","orcid":"https://orcid.org/0000-0002-5076-2412"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqi Zhu","raw_affiliation_strings":["Harbin Institute of Technology,Harbin,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Harbin,China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.5987,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89307915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3711","last_page":"3716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9886000156402588,"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":0.9886000156402588,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.983299970626831,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.8883607387542725},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5927814841270447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5242031812667847},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4728047251701355},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.4486786723136902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40304452180862427},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34211570024490356},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33671072125434875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3254464268684387},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.1554485559463501},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11251351237297058}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.8883607387542725},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5927814841270447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5242031812667847},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4728047251701355},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.4486786723136902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40304452180862427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34211570024490356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33671072125434875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3254464268684387},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.1554485559463501},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11251351237297058},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1962314142","https://openalex.org/W2017478274","https://openalex.org/W2021411806","https://openalex.org/W2037340502","https://openalex.org/W2054870083","https://openalex.org/W2129534965","https://openalex.org/W2138039541","https://openalex.org/W2153965609","https://openalex.org/W2334170987","https://openalex.org/W2897610078","https://openalex.org/W2952610069","https://openalex.org/W2971053930","https://openalex.org/W6748557651"],"related_works":["https://openalex.org/W2100079542","https://openalex.org/W1994539089","https://openalex.org/W1515939773","https://openalex.org/W2112938363","https://openalex.org/W1601028106","https://openalex.org/W2383398300","https://openalex.org/W2070384391","https://openalex.org/W2165782951","https://openalex.org/W2393060276","https://openalex.org/W2733794820"],"abstract_inverted_index":{"Three-dimensional":[0],"(3D)":[1],"reconstruction":[2,100,118,128,135,167],"of":[3,76,119,123,155,162,182],"neurons":[4],"is":[5],"a":[6],"critical":[7],"and":[8,24,49,115,129,176,185,207,213,232],"evolving":[9],"area":[10],"in":[11,28,44],"neuroscience,":[12],"addressing":[13],"the":[14,74,104,110,145,160,223,239],"substantial":[15],"challenges":[16],"presented":[17],"by":[18,238],"weak":[19],"signals,":[20,80,209],"high":[21],"noise":[22],"levels,":[23],"heterogeneous":[25],"signal":[26],"distribution":[27],"neuronal":[29,38,47,57,79,86,206],"optical":[30],"images.":[31],"Previous":[32],"methodologies":[33],"predominantly":[34],"focused":[35],"on":[36,189,222],"reconstructing":[37],"fibers":[39,48,154,184],"but":[40],"faced":[41],"significant":[42],"limitations":[43],"integrating":[45],"both":[46,183],"somas,":[50,178],"making":[51],"it":[52],"difficult":[53],"to":[54,67,73,90,150,173],"handle":[55],"large-scale":[56],"image":[58,99,194,228],"reconstruction.":[59,131],"Furthermore,":[60],"conventional":[61],"techniques":[62],"often":[63],"employ":[64],"fixed":[65],"thresholding":[66],"eliminate":[68],"background":[69,208],"noise,":[70],"inadvertently":[71],"leading":[72],"loss":[75],"valuable":[77],"low-intensity":[78],"which":[81],"are":[82],"crucial":[83],"for":[84,113,242],"comprehensive":[85,180],"analysis.":[87],"In":[88],"response":[89],"these":[91],"limitations,":[92],"we":[93],"propose":[94],"ADTAH,":[95],"an":[96,233],"innovative":[97],"neuron":[98,193],"method":[101],"that":[102,197],"leverages":[103],"adaptive":[105,139],"distance":[106,141,171],"transform":[107,172],"combined":[108],"with":[109,138],"Hessian":[111,146],"matrix":[112,147],"robust":[114],"precise":[116],"3D":[117,192,226],"neurons.":[120],"ADTAH":[121,198],"consists":[122],"two":[124],"branches:":[125],"nerve":[126,133,153],"fiber":[127,134],"soma":[130,166],"The":[132,165],"branch":[136,168],"begins":[137],"threshold":[140],"transform,":[142],"dynamically":[143],"adjusting":[144],"window":[148],"size":[149],"effectively":[151],"capture":[152],"varying":[156],"thicknesses,":[157],"thereby":[158],"optimizing":[159],"extraction":[161],"tubular":[163],"structures.":[164],"employs":[169],"high-threshold":[170],"accurately":[174],"identify":[175],"fill":[177],"ensuring":[179],"coverage":[181],"somas.":[186],"Our":[187,216],"experiments":[188],"publicly":[190,224],"available":[191,225,237],"datasets":[195],"demonstrate":[196],"outperforms":[199],"existing":[200],"techniques,":[201],"providing":[202],"superior":[203],"differentiation":[204],"between":[205],"enhanced":[210],"computational":[211],"efficiency,":[212],"greater":[214],"robustness.":[215],"approach":[217],"has":[218],"demonstrated":[219],"state-of-the-art":[220],"performance":[221],"Neuron":[227,231],"dataset":[229,235],"Big":[230],"fMost":[234],"made":[236],"Allen":[240],"Institute":[241],"Science.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
