{"id":"https://openalex.org/W4414373981","doi":"https://doi.org/10.1007/978-3-032-04927-8_62","title":"Top-Down Attention-Based Multiple Instance Learning for\u00a0Whole Slide Image Analysis","display_name":"Top-Down Attention-Based Multiple Instance Learning for\u00a0Whole Slide Image Analysis","publication_year":2025,"publication_date":"2025-09-20","ids":{"openalex":"https://openalex.org/W4414373981","doi":"https://doi.org/10.1007/978-3-032-04927-8_62"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-04927-8_62","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-04927-8_62","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5024474789","display_name":"Daniel Reisenb\u00fcchler","orcid":"https://orcid.org/0000-0001-8820-0530"},"institutions":[{"id":"https://openalex.org/I60668342","display_name":"University of Regensburg","ror":"https://ror.org/01eezs655","country_code":"DE","type":"education","lineage":["https://openalex.org/I60668342"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Reisenb\u00fcchler","raw_affiliation_strings":["Institute of Image Analysis and Computer Vision, University of Regensburg, Regensburg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Image Analysis and Computer Vision, University of Regensburg, Regensburg, Germany","institution_ids":["https://openalex.org/I60668342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037133367","display_name":"Ruining Deng","orcid":"https://orcid.org/0000-0001-6300-8518"},"institutions":[{"id":"https://openalex.org/I4387153466","display_name":"Weill Cornell Medicine","ror":"https://ror.org/02r109517","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]},{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruining Deng","raw_affiliation_strings":["Weill Cornell Medicine, New York, USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine, New York, USA","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053507592","display_name":"Christian Matek","orcid":"https://orcid.org/0000-0001-8528-8581"},"institutions":[{"id":"https://openalex.org/I4210088053","display_name":"Universit\u00e4tsklinikum Erlangen","ror":"https://ror.org/0030f2a11","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088053"]},{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Matek","raw_affiliation_strings":["Institute of Pathology, Universit\u00e4tsklinikum Erlangen, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Pathology, Universit\u00e4tsklinikum Erlangen, Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I4210088053","https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057185329","display_name":"Friedrich Feuerhake","orcid":"https://orcid.org/0000-0002-1234-982X"},"institutions":[{"id":"https://openalex.org/I34809795","display_name":"Medizinische Hochschule Hannover","ror":"https://ror.org/00f2yqf98","country_code":"DE","type":"education","lineage":["https://openalex.org/I34809795"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Friedrich Feuerhake","raw_affiliation_strings":["Institute of Pathology, Hannover Medical School, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Pathology, Hannover Medical School, Hannover, Germany","institution_ids":["https://openalex.org/I34809795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064747056","display_name":"Dorit Merhof","orcid":"https://orcid.org/0000-0002-1672-2185"},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dorit Merhof","raw_affiliation_strings":["Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany","institution_ids":["https://openalex.org/I4210137873"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024474789"],"corresponding_institution_ids":["https://openalex.org/I60668342"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.262,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.95694511,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"651","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9948999881744385,"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":0.9948999881744385,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9944999814033508,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/inference","display_name":"Inference","score":0.7143999934196472},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5333999991416931},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4205000102519989},{"id":"https://openalex.org/keywords/de-facto","display_name":"De facto","score":0.413100004196167},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.41019999980926514},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.40880000591278076},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.39570000767707825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3855000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9000999927520752},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7143999934196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603999733924866},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5333999991416931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5163999795913696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C2992317946","wikidata":"https://www.wikidata.org/wiki/Q712144","display_name":"De facto","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.31369999051094055},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.30219998955726624},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-04927-8_62","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-04927-8_62","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2262414037","https://openalex.org/W2329674354","https://openalex.org/W2889232360","https://openalex.org/W3135547872","https://openalex.org/W3176719058","https://openalex.org/W3206117799","https://openalex.org/W4280514269","https://openalex.org/W4281257868","https://openalex.org/W4319214685","https://openalex.org/W4386066029","https://openalex.org/W4386076317","https://openalex.org/W4386303561","https://openalex.org/W4387211414","https://openalex.org/W4390873172","https://openalex.org/W4392947521","https://openalex.org/W4402716046","https://openalex.org/W6910578419"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}