{"id":"https://openalex.org/W7161765573","doi":"https://doi.org/10.1109/isbi61048.2026.11515775","title":"RS Rdmasterclass: Technical Report for CSV2026 Challenge","display_name":"RS Rdmasterclass: Technical Report for CSV2026 Challenge","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161765573","doi":"https://doi.org/10.1109/isbi61048.2026.11515775"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515775","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":"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/A5110870352","display_name":"Kiet Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I1312732213","display_name":"Coca Cola (United States)","ror":"https://ror.org/00yc8qw13","country_code":"US","type":"company","lineage":["https://openalex.org/I1312732213"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kiet Dang","raw_affiliation_strings":["Rainscales Vietnam Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rainscales Vietnam Co., Ltd","institution_ids":["https://openalex.org/I1312732213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5095036296","display_name":"Thanh Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I1312732213","display_name":"Coca Cola (United States)","ror":"https://ror.org/00yc8qw13","country_code":"US","type":"company","lineage":["https://openalex.org/I1312732213"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thanh Nguyen","raw_affiliation_strings":["Rainscales Vietnam Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rainscales Vietnam Co., Ltd","institution_ids":["https://openalex.org/I1312732213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1312732213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51386891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.026599999517202377,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.026599999517202377,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12560","display_name":"Nuclear Engineering Thermal-Hydraulics","score":0.012400000356137753,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.011500000022351742,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/technical-report","display_name":"Technical report","score":0.3529999852180481},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.26409998536109924},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.2612000107765198},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.2558000087738037}],"concepts":[{"id":"https://openalex.org/C182449105","wikidata":"https://www.wikidata.org/wiki/Q3099732","display_name":"Technical report","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33309999108314514},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32429999113082886},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2786000072956085},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.23309999704360962},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.2175000011920929}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515775","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":4,"referenced_works":["https://openalex.org/W4221163766","https://openalex.org/W4312443924","https://openalex.org/W4385245566","https://openalex.org/W4386075981"],"related_works":[],"abstract_inverted_index":{"This":[0],"technical":[1],"report":[2],"presents":[3],"our":[4],"model":[5],"for":[6,67,78],"the":[7,22,43,85],"ISBI":[8],"2026":[9],"Carotid":[10],"Plaque":[11],"Segmentation":[12],"and":[13,30,70],"Vulnerability":[14],"Assessment":[15],"in":[16],"Ultrasound":[17],"(CSV)":[18],"Challenge.":[19],"To":[20],"tackle":[21],"difficulties":[23],"of":[24],"semi-supervised":[25],"learning":[26],"with":[27,105],"scarce":[28],"annotations":[29],"two-view":[31],"ultrasound":[32],"processing,":[33],"we":[34],"propose":[35],"Orthogonal":[36],"Position":[37],"Embedding":[38],"(OrthoPE)":[39],"to":[40],"explicitly":[41],"capture":[42],"geometric":[44],"relationship":[45],"between":[46],"input":[47],"views.":[48],"We":[49],"integrate":[50],"this":[51],"geometry-aware":[52],"embedding":[53],"into":[54],"two":[55],"novel":[56],"modules:":[57],"OrthoAttnUp,":[58],"an":[59],"attention-based":[60],"upsampling":[61],"mechanism":[62],"that":[63],"aggregates":[64],"cross-view":[65],"features":[66,77],"enhanced":[68],"segmentation,":[69],"MSOrthoViT,":[71],"which":[72],"seamlessly":[73],"fuses":[74],"multi-scale,":[75],"twoview":[76],"vulnerability":[79],"classification.":[80],"Our":[81],"approach":[82],"significantly":[83],"outperforms":[84],"baseline,":[86],"achieving":[87],"improvements":[88],"of$\\boldsymbol{+}":[89],"\\mathbf{2":[90],"7.":[91],"5":[92],"5}$in":[93],"F1-score":[94],"and$\\boldsymbol{+}":[95],"\\mathbf{2.":[96],"4":[97],"7}$in":[98],"Seg-score,":[99],"while":[100],"operating$\\mathbf{2.":[101],"7":[102,107],"9}":[103],"\\times$faster":[104],"nearly$\\mathbf{3.":[106],"4}":[108],"\\times$fewer":[109],"parameters.":[110]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-21T00:00:00"}
