{"id":"https://openalex.org/W3195546268","doi":"https://doi.org/10.1109/ispa52656.2021.9552083","title":"Multimodal Extension of the ML-CSC Framework for Medical Image Segmentation","display_name":"Multimodal Extension of the ML-CSC Framework for Medical Image Segmentation","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3195546268","doi":"https://doi.org/10.1109/ispa52656.2021.9552083","mag":"3195546268"},"language":"en","primary_location":{"id":"doi:10.1109/ispa52656.2021.9552083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa52656.2021.9552083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/8716968/file/8716971","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067958111","display_name":"Jens Janssens","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jens Janssens","raw_affiliation_strings":["GAIM","GAIM,Department of Telecommunications and Information Processing"],"affiliations":[{"raw_affiliation_string":"GAIM","institution_ids":[]},{"raw_affiliation_string":"GAIM,Department of Telecommunications and Information Processing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075247859","display_name":"Sr\u0111an Lazendi\u0107","orcid":"https://orcid.org/0000-0003-2772-9240"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Srdan Lazendic","raw_affiliation_strings":["Clifford Research Group, Faculty of Engineering and Architecture, Ghent University, Belgium","GAIM","Ghent University,Clifford Research Group, Faculty of Engineering and Architecture,Department of Electronics and Information Systems,Belgium"],"affiliations":[{"raw_affiliation_string":"Clifford Research Group, Faculty of Engineering and Architecture, Ghent University, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"GAIM","institution_ids":[]},{"raw_affiliation_string":"Ghent University,Clifford Research Group, Faculty of Engineering and Architecture,Department of Electronics and Information Systems,Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050449194","display_name":"Shaoguang Huang","orcid":"https://orcid.org/0000-0001-5439-5018"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaoguang Huang","raw_affiliation_strings":["GAIM","GAIM,Department of Telecommunications and Information Processing"],"affiliations":[{"raw_affiliation_string":"GAIM","institution_ids":[]},{"raw_affiliation_string":"GAIM,Department of Telecommunications and Information Processing","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031078128","display_name":"Aleksandra Pi\u017eurica","orcid":"https://orcid.org/0000-0002-9322-4999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksandra Pizurica","raw_affiliation_strings":["GAIM","GAIM,Department of Telecommunications and Information Processing"],"affiliations":[{"raw_affiliation_string":"GAIM","institution_ids":[]},{"raw_affiliation_string":"GAIM,Department of Telecommunications and Information Processing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067958111"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2905,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55882114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":0.9984999895095825,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.998199999332428,"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/interpretability","display_name":"Interpretability","score":0.8210583925247192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7729362845420837},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7595709562301636},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6584839820861816},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6145679354667664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5993369817733765},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.574775218963623},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4927196800708771},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4857366681098938},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.4382472336292267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4187702536582947},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41253477334976196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4112771153450012},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12343141436576843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11723116040229797}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8210583925247192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7729362845420837},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7595709562301636},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6584839820861816},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6145679354667664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5993369817733765},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.574775218963623},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4927196800708771},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4857366681098938},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.4382472336292267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4187702536582947},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41253477334976196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4112771153450012},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12343141436576843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11723116040229797},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ispa52656.2021.9552083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa52656.2021.9552083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:8716968","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8716968","pdf_url":"https://biblio.ugent.be/publication/8716968/file/8716971","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781665426398","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:8716968","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-8716968","pdf_url":"https://biblio.ugent.be/publication/8716968/file/8716971","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781665426398","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3195546268.pdf","grobid_xml":"https://content.openalex.org/works/W3195546268.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1591116419","https://openalex.org/W1641498739","https://openalex.org/W1901129140","https://openalex.org/W2010641531","https://openalex.org/W2112796928","https://openalex.org/W2464641472","https://openalex.org/W2751069891","https://openalex.org/W2760586727","https://openalex.org/W2763081248","https://openalex.org/W2900298334","https://openalex.org/W2919115771","https://openalex.org/W2953532875","https://openalex.org/W2963197835","https://openalex.org/W2963747696","https://openalex.org/W2964007263","https://openalex.org/W2979617563","https://openalex.org/W3012465989","https://openalex.org/W3093168111","https://openalex.org/W4235713725"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2065031478"],"abstract_inverted_index":{"In":[0,69],"recent":[1],"years,":[2],"Convolutional":[3,35],"Neural":[4],"Networks":[5],"(CNNs)":[6],"have":[7],"led":[8],"to":[9,50,60],"huge":[10],"successes":[11],"across":[12],"various":[13],"computer":[14],"vision":[15],"applications.":[16],"However,":[17],"the":[18,52,107,115,127,134],"lack":[19],"of":[20,45,118],"interpretability":[21],"poses":[22],"a":[23,42,85],"severe":[24],"barrier":[25],"for":[26,80],"their":[27],"wider":[28],"adoption":[29],"in":[30],"healthcare.":[31],"Recently":[32],"introduced":[33],"Multilayer":[34],"Sparse":[36],"Coding":[37],"(ML-CSC)":[38],"data":[39,57],"model":[40],"provides":[41],"model-based":[43],"explanation":[44],"CNNs.":[46],"This":[47],"article":[48],"aims":[49],"extend":[51],"ML-CSC":[53],"framework":[54],"towards":[55],"multimodal":[56,81,112],"processing,":[58],"which":[59],"our":[61,111],"knowledge":[62],"has":[63],"not":[64],"been":[65],"addressed":[66],"so":[67],"far.":[68],"particular,":[70],"we":[71],"focus":[72],"on":[73,106],"interpretable":[74,119],"medical":[75],"image":[76],"segmentation":[77,121,129],"architecture":[78],"design":[79,117],"data.":[82],"We":[83],"derive":[84],"novel":[86],"sparse":[87,108],"coding":[88,109],"algorithm":[89],"and":[90],"propose":[91],"three":[92],"different":[93],"CNN":[94,120],"architectures":[95],"with":[96,133],"increasing":[97],"performance,":[98],"without":[99],"introducing":[100],"any":[101],"additional":[102],"learnable":[103],"parameters.":[104],"Based":[105],"theory,":[110],"extension":[113],"enables":[114],"systematic":[116],"architectures.":[122],"Experimental":[123],"analysis":[124],"demonstrates":[125],"that":[126],"achieved":[128],"results":[130],"are":[131],"consistent":[132],"obtained":[135],"theoretical":[136],"expectations.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
