{"id":"https://openalex.org/W2949859375","doi":"https://doi.org/10.1109/ncc.2019.8732257","title":"A SegNet Based Image Enhancement Technique for Air-Tissue Boundary Segmentation in Real-Time Magnetic Resonance Imaging Video","display_name":"A SegNet Based Image Enhancement Technique for Air-Tissue Boundary Segmentation in Real-Time Magnetic Resonance Imaging Video","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2949859375","doi":"https://doi.org/10.1109/ncc.2019.8732257","mag":"2949859375"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2019.8732257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2019.8732257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 National Conference on Communications (NCC)","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/A5072700492","display_name":"Renuka Mannem","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Renuka Mannem","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Science, Bangalore"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Science, Bangalore","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003712117","display_name":"Valliappan CA","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Valliappan Ca","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Science, Bangalore"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Science, Bangalore","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046000500","display_name":"Prasanta Ghosh","orcid":"https://orcid.org/0000-0002-2925-1802"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prasanta Kumar Ghosh","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Science, Bangalore"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Science, Bangalore","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072700492"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":1.6691,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84609299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7889022827148438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7740076780319214},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.693620502948761},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6895208358764648},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5619804859161377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5540953874588013},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5476812124252319},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4273432791233063}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7889022827148438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7740076780319214},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.693620502948761},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6895208358764648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5619804859161377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5540953874588013},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5476812124252319},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4273432791233063}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ncc.2019.8732257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2019.8732257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 National Conference on Communications (NCC)","raw_type":"proceedings-article"},{"id":"pmh:oai::78065","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W123135133","https://openalex.org/W435022884","https://openalex.org/W1602171322","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W2001425423","https://openalex.org/W2007393175","https://openalex.org/W2054159638","https://openalex.org/W2066381494","https://openalex.org/W2079531777","https://openalex.org/W2084050414","https://openalex.org/W2091628874","https://openalex.org/W2104760791","https://openalex.org/W2137037226","https://openalex.org/W2148985157","https://openalex.org/W2160512018","https://openalex.org/W2166344791","https://openalex.org/W2171209503","https://openalex.org/W2182927573","https://openalex.org/W2184285154","https://openalex.org/W2402469961","https://openalex.org/W2509285937","https://openalex.org/W2514054752","https://openalex.org/W2740744211","https://openalex.org/W2740804229","https://openalex.org/W2746515373","https://openalex.org/W2747580863","https://openalex.org/W2748537274","https://openalex.org/W2797342487","https://openalex.org/W2888804310","https://openalex.org/W2962835968","https://openalex.org/W2963881378","https://openalex.org/W4246501998","https://openalex.org/W6604828220","https://openalex.org/W6637373629","https://openalex.org/W6675875338","https://openalex.org/W6680747206","https://openalex.org/W6685993629","https://openalex.org/W6686115103","https://openalex.org/W6741670532"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2397288865","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2368524271","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2576709312","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,39,68,153],"new":[6],"technique":[7,37,52],"for":[8,74],"segmentation":[9,40,55,76,115,158],"of":[10,19,27,59,77,86,119,124],"the":[11,16,20,24,28,57,60,78,84,87,94,113,122,125,132,141],"Air-Tissue":[12],"Boundaries":[13],"(ATBs)":[14],"in":[15,23,56,148],"upper":[17],"airway":[18],"vocal":[21],"tract":[22],"midsagittal":[25],"plane":[26],"realtime":[29],"Magnetic":[30],"Resonance":[31],"Imaging":[32],"(rtMRI)":[33],"videos.":[34],"The":[35,46,81],"proposed":[36,142],"uses":[38],"using":[41,53,112],"Fisher-discriminant":[42],"measure":[43],"(SFDM)":[44],"scheme.":[45],"paper":[47,82],"introduces":[48],"an":[49],"image":[50,117],"enhancement":[51,118],"semantic":[54,75,114],"preprocessing":[58,88,99,134],"rtMRI":[61,79,104,120],"frames":[62,106],"before":[63,89],"ATB":[64,90,149],"prediction.":[65],"We":[66],"use":[67],"deep":[69],"convolutional":[70],"encoder-decoder":[71],"architecture":[72],"(SegNet)":[73],"images.":[80],"examines":[83],"significance":[85],"prediction":[91,150],"by":[92],"implementing":[93],"SFDM":[95,126],"approach":[96,127,143],"with":[97,102,152],"different":[98],"techniques.":[100],"Experiments":[101],"5779":[103],"video":[105],"from":[107],"four":[108],"subjects":[109],"demonstrate":[110],"that":[111,140],"based":[116,156],"frames,":[121],"performance":[123],"is":[128],"improved":[129],"compared":[130,151],"to":[131],"other":[133],"approaches.":[135],"Experiment":[136],"results":[137],"also":[138],"show":[139],"yields":[144],"8.6%":[145],"less":[146],"error":[147],"semi-supervised":[154],"grid":[155],"baseline":[157],"approach.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
