{"id":"https://openalex.org/W4391249865","doi":"https://doi.org/10.1109/icacrs58579.2023.10404758","title":"Neuro-Vascular Mapping of Junctions in Human Brain from MRI Scans using Image Segmentation","display_name":"Neuro-Vascular Mapping of Junctions in Human Brain from MRI Scans using Image Segmentation","publication_year":2023,"publication_date":"2023-12-11","ids":{"openalex":"https://openalex.org/W4391249865","doi":"https://doi.org/10.1109/icacrs58579.2023.10404758"},"language":"en","primary_location":{"id":"doi:10.1109/icacrs58579.2023.10404758","doi":"https://doi.org/10.1109/icacrs58579.2023.10404758","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icacrs58579.2023.10404758","pdf_url":null,"source":{"id":"https://openalex.org/S4363607919","display_name":"International Conference on Automation, Computing and Renewable Systems (ICACRS)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5077204411","display_name":"Akhbar Sha","orcid":"https://orcid.org/0000-0002-2045-4101","observed_orcids":["https://orcid.org/0000-0002-2045-4101"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akhbar Sha","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001637183","display_name":"Dhruvjyoti Swain","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhruvjyoti Swain","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085705496","display_name":"Samudrala Yashwanth","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samudrala Yashwanth","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102963931","display_name":"Tricha Anjali","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjali T","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.0879,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29562689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"517","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.000699999975040555,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.0006000000284984708,"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/image-segmentation","display_name":"image segmentation","score":0.675000011920929},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.9929999709129333},{"id":"https://openalex.org/keywords/inception-v3","display_name":"InceptionV3","score":0.9070000052452087},{"id":"https://openalex.org/keywords/cerebral-blood-flow","display_name":"cerebral blood flow","score":0.7519999742507935},{"id":"https://openalex.org/keywords/hemodynamics","display_name":"hemodynamics","score":0.9729999899864197},{"id":"https://openalex.org/keywords/diffusion-models","display_name":"diffusion models","score":0.7049999833106995},{"id":"https://openalex.org/keywords/stroke-detection","display_name":"stroke detection","score":0.9179999828338623},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"magnetic resonance imaging","score":0.3149999976158142}],"concepts":[{"id":"https://openalex.org/C105572291","wikidata":"https://www.wikidata.org/wiki/Q7002775","display_name":"Neurovascular bundle","level":2,"score":0.8478240966796875},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7447158098220825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992237567901611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6562913656234741},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5949767231941223},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.571196973323822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4598880708217621},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4269223213195801},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4155896306037903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3391574025154114},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.15240412950515747},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12658405303955078},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacrs58579.2023.10404758","doi":"https://doi.org/10.1109/icacrs58579.2023.10404758","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icacrs58579.2023.10404758","pdf_url":null,"source":{"id":"https://openalex.org/S4363607919","display_name":"International Conference on Automation, Computing and Renewable Systems (ICACRS)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1736872950","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2104636679","https://openalex.org/W2253429366","https://openalex.org/W2747048152","https://openalex.org/W2919758465","https://openalex.org/W2953129827","https://openalex.org/W2979801810","https://openalex.org/W3015002142","https://openalex.org/W3015788359","https://openalex.org/W3169184470","https://openalex.org/W3172516001","https://openalex.org/W3176075191","https://openalex.org/W4234171281"],"related_works":["https://openalex.org/W4283730422","https://openalex.org/W4405491124","https://openalex.org/W2902149960","https://openalex.org/W3171424841","https://openalex.org/W4412799979","https://openalex.org/W4412742743","https://openalex.org/W4297819559","https://openalex.org/W4409176311","https://openalex.org/W4412021589","https://openalex.org/W2959642114"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,45,238],"represents":[2],"a":[3,62,72,88,131,186,223],"fundamental":[4],"technique":[5],"widely":[6],"employed":[7,200],"in":[8,14,101,216,226],"diverse":[9],"fields,":[10],"with":[11,185],"particular":[12],"prominence":[13],"the":[15,27,35,39,55,67,81,92,102,109,121,136,141,171,177,196,202,209,231],"biomedical":[16],"domain":[17],"for":[18,143,159,204,239],"extracting":[19],"intricate":[20,110],"and":[21,74,123,220,233,243],"crucial":[22,63],"entities":[23],"from":[24,153],"images.":[25],"Within":[26],"scope":[28],"of":[29,38,54,70,80,91,112,125,135,166,173,179,189,229,235],"this":[30,116,126],"research,":[31],"we":[32,105,129,192],"have":[33,193],"harnessed":[34],"potent":[36],"capabilities":[37],"U-Net":[40],"architecture":[41],"to":[42],"perform":[43],"image":[44,237],"specifically":[46],"on":[47],"junctions":[48],"discernible":[49],"within":[50,115],"neurovascular":[51,82,89,127,236,244],"MRI":[52],"images":[53],"human":[56,93],"brain.":[57],"This":[58,212],"undertaking":[59],"serves":[60,221],"as":[61,201,208,222],"stepping":[64],"stone":[65],"towards":[66],"overarching":[68],"goal":[69],"constructing":[71],"comprehensive":[73],"finely":[75],"labeled":[76],"3D":[77],"graph":[78],"representation":[79],"system.":[83],"The":[84,149],"motivation":[85],"behind":[86],"developing":[87],"mapping":[90],"brain":[94],"through":[95],"Convolutional":[96],"Neural":[97],"Networks":[98],"(CNNs)":[99],"lies":[100],"potential":[103],"insights":[104,156],"can":[106],"glean":[107],"concerning":[108],"dynamics":[111],"blood":[113,168],"flow":[114,169],"complex":[117],"organ.":[118],"By":[119],"scrutinizing":[120],"nodes":[122],"connections":[124],"mapping,":[128],"gain":[130],"more":[132],"profound":[133],"understanding":[134],"hemodynamic":[137,155],"processes,":[138],"thus":[139],"paving":[140],"way":[142],"subsequent":[144],"investigations":[145],"into":[146],"diffusion":[147,150],"modeling.":[148],"model":[151],"derived":[152],"these":[154],"holds":[157],"promise":[158],"early":[160],"stroke":[161,241],"detection":[162,242],"by":[163],"identifying":[164],"regions":[165],"insufficient":[167],"before":[170],"onset":[172],"clinical":[174],"symptoms.":[175],"In":[176],"course":[178],"our":[180,227],"current":[181],"study,":[182],"albeit":[183],"conducted":[184],"limited":[187],"set":[188],"training":[190],"examples,":[191],"determined":[194],"that":[195],"InceptionV3":[197],"architecture,":[198],"when":[199],"backbone":[203],"U-Net-based":[205],"segmentation,":[206],"emerges":[207],"optimal":[210],"choice.":[211],"selection":[213],"is":[214],"rooted":[215],"rigorous":[217],"empirical":[218],"analysis":[219],"vital":[224],"component":[225],"pursuit":[228],"advancing":[230],"accuracy":[232],"effectiveness":[234],"improved":[240],"system":[245],"mapping.":[246]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-01-27T00:00:00"}
