{"id":"https://openalex.org/W4402979462","doi":"https://doi.org/10.1109/icme57554.2024.10688366","title":"Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images","display_name":"Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Images","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979462","doi":"https://doi.org/10.1109/icme57554.2024.10688366"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688366","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 Multimedia and Expo (ICME)","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/A5057269196","display_name":"Minghao Han","orcid":"https://orcid.org/0000-0002-2027-328X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minghao Han","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764675","display_name":"Xukun Zhang","orcid":"https://orcid.org/0000-0003-2869-9434"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xukun Zhang","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064280715","display_name":"Dingkang Yang","orcid":"https://orcid.org/0000-0003-1829-5671"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingkang Yang","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606802","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0001-9086-6091"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072909549","display_name":"Haopeng Kuang","orcid":"https://orcid.org/0000-0001-7951-2380"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haopeng Kuang","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027388502","display_name":"Jinghui Feng","orcid":"https://orcid.org/0000-0002-2472-2169"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Feng","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414909","display_name":"Lihua Zhang","orcid":"https://orcid.org/0000-0003-2543-1547"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Zhang","raw_affiliation_strings":["Fudan University,Academy for Engineering and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Fudan University,Academy for Engineering and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5057269196"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":1.1586,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81933315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"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/T10862","display_name":"AI in cancer detection","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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9634000062942505,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.953000009059906,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7561013698577881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.666613757610321},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6125237941741943},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5734754800796509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4609563648700714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3887059688568115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19372010231018066},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10308372974395752},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08088517189025879},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.057527750730514526}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7561013698577881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666613757610321},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6125237941741943},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5734754800796509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4609563648700714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3887059688568115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19372010231018066},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10308372974395752},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08088517189025879},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.057527750730514526},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688366","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 Multimedia and Expo (ICME)","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2083839175","https://openalex.org/W2117692326","https://openalex.org/W2126415088","https://openalex.org/W2604314403","https://openalex.org/W2700381762","https://openalex.org/W2892880750","https://openalex.org/W2955737766","https://openalex.org/W2974825848","https://openalex.org/W3011132328","https://openalex.org/W3039674406","https://openalex.org/W3042024476","https://openalex.org/W3106229813","https://openalex.org/W3135547872","https://openalex.org/W3175126073","https://openalex.org/W3176719058","https://openalex.org/W3203838058","https://openalex.org/W4206402984","https://openalex.org/W4281257868","https://openalex.org/W4283219407","https://openalex.org/W4288809219","https://openalex.org/W4296236277","https://openalex.org/W4304092664","https://openalex.org/W4304098327","https://openalex.org/W4312609734","https://openalex.org/W4313065529","https://openalex.org/W4366977444","https://openalex.org/W4376121873","https://openalex.org/W4386065374","https://openalex.org/W4386075843","https://openalex.org/W4387211471","https://openalex.org/W4392947532","https://openalex.org/W4396910025","https://openalex.org/W4402713102","https://openalex.org/W6747701563","https://openalex.org/W6762490134","https://openalex.org/W6846148735","https://openalex.org/W6853354868"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Survival":[0],"prediction":[1],"is":[2,139],"a":[3,17,84,96,122],"complex":[4],"ordinal":[5],"regression":[6],"task":[7],"that":[8,128],"aims":[9],"to":[10,50,120],"predict":[11],"the":[12,52,117],"survival":[13,76],"coefficient":[14],"ranking":[15],"among":[16],"cohort":[18],"of":[19,46,58,80],"patients,":[20],"typically":[21],"achieved":[22],"by":[23],"analyzing":[24],"patients\u2019":[25],"whole":[26],"slide":[27],"images.":[28],"Existing":[29],"deep":[30],"learning":[31,37],"approaches":[32,133],"mainly":[33],"adopt":[34],"multiple":[35,67],"instance":[36],"or":[38],"graph":[39,118],"neural":[40],"networks":[41],"under":[42],"weak":[43],"supervision.":[44],"Most":[45],"them":[47],"are":[48,72],"unable":[49],"uncover":[51],"diverse":[53,112],"interactions":[54,71,113],"between":[55,114],"different":[56],"types":[57],"biological":[59,106],"entities(e.g.,":[60],"cell":[61],"cluster":[62],"and":[63,100],"tissue":[64],"block)":[65],"across":[66],"scales,":[68],"while":[69],"such":[70],"crucial":[73],"for":[74],"patient":[75],"prediction.":[77],"In":[78],"light":[79],"this,":[81],"we":[82],"propose":[83],"novel":[85],"multi-scale":[86,97],"heterogeneity-aware":[87,98],"hypergraph":[88,99],"representation":[89],"framework.":[90],"Specifically,":[91],"our":[92,129],"framework":[93],"first":[94],"constructs":[95],"assigns":[101],"each":[102],"node":[103],"with":[104],"its":[105],"entity":[107],"type.":[108],"It":[109],"then":[110],"mines":[111],"nodes":[115],"on":[116,134],"structure":[119],"obtain":[121],"global":[123],"representation.":[124],"Experimental":[125],"results":[126],"demonstrate":[127],"method":[130],"outperforms":[131],"state-of-the-art":[132],"three":[135],"benchmark":[136],"datasets.":[137],"Code":[138],"publicly":[140],"available":[141],"at":[142],"https://github.com/Hanminghao/H2GT.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}