{"id":"https://openalex.org/W4301409551","doi":"https://doi.org/10.48550/arxiv.2208.03569","title":"Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data","display_name":"Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data","publication_year":2022,"publication_date":"2022-08-06","ids":{"openalex":"https://openalex.org/W4301409551","doi":"https://doi.org/10.48550/arxiv.2208.03569"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2208.03569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.03569","pdf_url":"https://arxiv.org/pdf/2208.03569","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.03569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029254671","display_name":"Vaanathi Sundaresan","orcid":"https://orcid.org/0000-0002-9451-4779"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sundaresan, Vaanathi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029295973","display_name":"Julia F. Lehman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lehman, Julia F.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011549928","display_name":"Sean P. Fitzgibbon","orcid":"https://orcid.org/0000-0001-8364-6509"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fitzgibbon, Sean","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037943184","display_name":"Sa\u00e2d Jbabdi","orcid":"https://orcid.org/0000-0003-3234-5639"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jbabdi, Saad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011073185","display_name":"Suzanne N. Haber","orcid":"https://orcid.org/0000-0002-5237-1941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haber, Suzanne N.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082002582","display_name":"Anastasia Yendiki","orcid":"https://orcid.org/0000-0003-1386-3828"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yendiki, Anastasia","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029254671"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9735000133514404,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9692999720573425,"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/tracing","display_name":"Tracing","score":0.9061078429222107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7243114709854126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6616476774215698},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6340165734291077},{"id":"https://openalex.org/keywords/macaque","display_name":"Macaque","score":0.6324173808097839},{"id":"https://openalex.org/keywords/bundle","display_name":"Bundle","score":0.6213562488555908},{"id":"https://openalex.org/keywords/tractography","display_name":"Tractography","score":0.6190997958183289},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5531677603721619},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5400678515434265},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5191994905471802},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5062786340713501},{"id":"https://openalex.org/keywords/fiber-bundle","display_name":"Fiber bundle","score":0.4930088222026825},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4742392897605896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3817603290081024},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.3500548303127289},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1242697536945343},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10014805197715759},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.08348172903060913},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0718543529510498}],"concepts":[{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.9061078429222107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243114709854126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6616476774215698},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6340165734291077},{"id":"https://openalex.org/C2778950215","wikidata":"https://www.wikidata.org/wiki/Q177601","display_name":"Macaque","level":2,"score":0.6324173808097839},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.6213562488555908},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.6190997958183289},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5531677603721619},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5400678515434265},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5191994905471802},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5062786340713501},{"id":"https://openalex.org/C146710177","wikidata":"https://www.wikidata.org/wiki/Q1154996","display_name":"Fiber bundle","level":3,"score":0.4930088222026825},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4742392897605896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3817603290081024},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.3500548303127289},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1242697536945343},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10014805197715759},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.08348172903060913},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0718543529510498},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2208.03569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.03569","pdf_url":"https://arxiv.org/pdf/2208.03569","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2208.03569","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2208.03569","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2208.03569","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.03569","pdf_url":"https://arxiv.org/pdf/2208.03569","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1975148201","https://openalex.org/W2031036731","https://openalex.org/W2182632227","https://openalex.org/W2326458079","https://openalex.org/W4240564646","https://openalex.org/W2141129703","https://openalex.org/W168697621","https://openalex.org/W4252043533","https://openalex.org/W2119919461","https://openalex.org/W4385544118"],"abstract_inverted_index":{"Anatomic":[0],"tracing":[1,28],"data":[2,29,95],"provides":[3],"detailed":[4],"information":[5],"on":[6,27,70,113],"brain":[7],"circuitry":[8],"essential":[9],"for":[10,64,91,103,132],"addressing":[11],"some":[12],"of":[13,24,37,67,82,106,110,128],"the":[14,71,79,98],"common":[15],"errors":[16],"in":[17],"diffusion":[18],"MRI":[19],"tractography.":[20],"However,":[21],"automated":[22],"detection":[23],"fiber":[25,68],"bundles":[26,69],"is":[30,135],"challenging":[31],"due":[32],"to":[33,96],"sectioning":[34],"distortions,":[35],"presence":[36],"noise":[38],"and":[39,41,100],"artifacts":[40],"intensity/contrast":[42],"variations.":[43],"In":[44],"this":[45],"work,":[46],"we":[47,85],"propose":[48],"a":[49,54,87,117,124],"deep":[50],"learning":[51],"method":[52,112,134],"with":[53,123],"self-supervised":[55],"loss":[56],"function":[57],"that":[58],"takes":[59],"anatomy-based":[60],"constraints":[61,102],"into":[62],"account":[63],"accurate":[65],"segmentation":[66],"tracer":[72],"sections":[73,115],"from":[74,116],"macaque":[75,119],"brains.":[76],"Also,":[77],"given":[78],"limited":[80],"availability":[81],"manual":[83],"labels,":[84],"use":[86],"semi-supervised":[88],"training":[89],"technique":[90],"efficiently":[92],"using":[93],"unlabeled":[94],"improve":[97],"performance,":[99],"location":[101],"further":[104],"reduction":[105],"false":[107],"positives.":[108],"Evaluation":[109],"our":[111,133],"unseen":[114],"different":[118],"yields":[120],"promising":[121],"results":[122],"true":[125],"positive":[126],"rate":[127],"~0.90.":[129],"The":[130],"code":[131],"available":[136],"at":[137],"https://github.com/v-sundaresan/fiberbundle_seg_tracing.":[138]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}