{"id":"https://openalex.org/W2767044624","doi":"https://doi.org/10.1109/tmi.2017.2764326","title":"Multimodal MR Synthesis via Modality-Invariant Latent Representation","display_name":"Multimodal MR Synthesis via Modality-Invariant Latent Representation","publication_year":2017,"publication_date":"2017-10-18","ids":{"openalex":"https://openalex.org/W2767044624","doi":"https://doi.org/10.1109/tmi.2017.2764326","mag":"2767044624","pmid":"https://pubmed.ncbi.nlm.nih.gov/29053447"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2017.2764326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2764326","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/893b6493-9770-4b79-b122-10c06e8656c7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056737139","display_name":"Agisilaos Chartsias","orcid":"https://orcid.org/0000-0002-3512-5247"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Agisilaos Chartsias","raw_affiliation_strings":["School of Engineering, The University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112364954","display_name":"T. A. Joyce","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thomas Joyce","raw_affiliation_strings":["School of Engineering, The University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030914810","display_name":"Mario Valerio Giuffrida","orcid":"https://orcid.org/0000-0002-5232-677X"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]},{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB","IT"],"is_corresponding":false,"raw_author_name":"Mario Valerio Giuffrida","raw_affiliation_strings":["IMT Lucca, Lucca, Italy","School of Engineering, The University of Edinburgh, Edinburgh, U.K","The Alan Turing Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"IMT Lucca, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]},{"raw_affiliation_string":"School of Engineering, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"The Alan Turing Institute, London, U.K","institution_ids":["https://openalex.org/I4210128584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054437456","display_name":"Sotirios A. Tsaftaris","orcid":"https://orcid.org/0000-0002-8795-9294"},"institutions":[{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sotirios A. Tsaftaris","raw_affiliation_strings":["School of Engineering, The University of Edinburgh, Edinburgh, U.K","The Alan Turing Institute, London, U.K"],"affiliations":[{"raw_affiliation_string":"School of Engineering, The University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"The Alan Turing Institute, London, U.K","institution_ids":["https://openalex.org/I4210128584"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056737139"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":17.0446,"has_fulltext":true,"cited_by_count":326,"citation_normalized_percentile":{"value":0.99286804,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"37","issue":"3","first_page":"803","last_page":"814"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7423631548881531},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6847403645515442},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6633995771408081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6360034346580505},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5761873126029968},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5171043872833252},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4857359528541565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4784429371356964},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46135497093200684},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4440203905105591},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4350090026855469},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.415315181016922},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3959208130836487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0871942937374115},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.08459386229515076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423631548881531},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6847403645515442},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6633995771408081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6360034346580505},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5761873126029968},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5171043872833252},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4857359528541565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4784429371356964},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46135497093200684},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4440203905105591},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4350090026855469},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.415315181016922},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3959208130836487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0871942937374115},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.08459386229515076},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":8,"locations":[{"id":"doi:10.1109/tmi.2017.2764326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2017.2764326","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:29053447","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29053447","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pure.ed.ac.uk:publications/893b6493-9770-4b79-b122-10c06e8656c7","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.research.ed.ac.uk/en/publications/893b6493-9770-4b79-b122-10c06e8656c7","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.ed.ac.uk:publications/893b6493-9770-4b79-b122-10c06e8656c7","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.11820/893b6493-9770-4b79-b122-10c06e8656c7","pdf_url":"https://www.research.ed.ac.uk/files/45283352/TMI_Synthesis_final.pdf","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chartsias, A, Joyce, T, Giuffrida, M V & Tsaftaris, S 2018, 'Multimodal MR Synthesis via Modality-Invariant Latent Representation', IEEE Transactions on Medical Imaging, vol. 37, no. 3, pp. 803-814. https://doi.org/10.1109/TMI.2017.2764326","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:europepmc.org:5372396","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC5904017","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:napier-surface.worktribe.com:2157206","is_oa":false,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/2157206","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5904017","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5904017","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/893b6493-9770-4b79-b122-10c06e8656c7","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/893b6493-9770-4b79-b122-10c06e8656c7","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chartsias, A, Joyce, T, Giuffrida, M V & Tsaftaris, S 2018, 'Multimodal MR Synthesis via Modality-Invariant Latent Representation', IEEE Transactions on Medical Imaging, vol. 37, no. 3, pp. 803-814. https://doi.org/10.1109/TMI.2017.2764326","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/893b6493-9770-4b79-b122-10c06e8656c7","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.research.ed.ac.uk/en/publications/893b6493-9770-4b79-b122-10c06e8656c7","source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2872020096","display_name":"CardiacA.I.: Machine learning for the analysis of multimodal cardiac MR images used in the diagnosis of coronary heart disease","funder_award_id":"EP/P022928/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2984005591","display_name":null,"funder_award_id":"2R01HL091989-05","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3523897345","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320320332","funder_display_name":"University of Edinburgh"},{"id":"https://openalex.org/G4466388606","display_name":null,"funder_award_id":"NVIDIA","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8452545418","display_name":null,"funder_award_id":"unknown","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8719353587","display_name":null,"funder_award_id":"EP/P0","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8822802767","display_name":null,"funder_award_id":"EP/P022928/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320320332","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2767044624.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W66427752","https://openalex.org/W89893565","https://openalex.org/W771469340","https://openalex.org/W1522301498","https://openalex.org/W1605218991","https://openalex.org/W1665214252","https://openalex.org/W1794421049","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1979775925","https://openalex.org/W1983060851","https://openalex.org/W2015897296","https://openalex.org/W2025768430","https://openalex.org/W2087512379","https://openalex.org/W2126598020","https://openalex.org/W2176473160","https://openalex.org/W2184188583","https://openalex.org/W2208340121","https://openalex.org/W2208819768","https://openalex.org/W2269210828","https://openalex.org/W2296073425","https://openalex.org/W2301358467","https://openalex.org/W2384495648","https://openalex.org/W2395611524","https://openalex.org/W2397287600","https://openalex.org/W2461164258","https://openalex.org/W2474574787","https://openalex.org/W2502805798","https://openalex.org/W2517395172","https://openalex.org/W2517954747","https://openalex.org/W2521443754","https://openalex.org/W2522388964","https://openalex.org/W2523123632","https://openalex.org/W2523200079","https://openalex.org/W2523213734","https://openalex.org/W2751812122","https://openalex.org/W2919115771","https://openalex.org/W2963174698","https://openalex.org/W2963745697","https://openalex.org/W4297800839","https://openalex.org/W6603620145","https://openalex.org/W6637242042","https://openalex.org/W6639824700","https://openalex.org/W6686207219"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"We":[0,72,91,114],"propose":[1],"a":[2,44,56,69,152,159,179],"multi-input":[3],"multi-output":[4],"fully":[5],"convolutional":[6],"neural":[7],"network":[8],"model":[9,14,32,102,117],"for":[10,76,133],"MRI":[11],"synthesis.":[12],"The":[13,31],"is":[15,33,61,189],"robust":[16],"to":[17,38],"missing":[18],"data,":[19],"as":[20],"it":[21],"benefits":[22,149],"from,":[23],"but":[24],"does":[25],"not":[26],"require,":[27],"additional":[28],"input":[29,41,86,135,143],"modalities.":[30],"trained":[34],"end-to-end,":[35],"and":[36,108,121,125],"learns":[37],"embed":[39],"all":[40],"modalities":[42,87,144],"into":[43,55,63],"shared":[45],"modality-invariant":[46],"latent":[47,50,154],"space.":[48],"These":[49],"representations":[51],"are":[52,88,145],"then":[53],"combined":[54],"single":[57,134],"fused":[58],"representation,":[59],"which":[60],"transformed":[62],"the":[64,74,81,84,101,119,148,164,184],"target":[65],"output":[66],"modality":[67],"with":[68,111],"learnt":[70],"decoder.":[71],"avoid":[73],"need":[75],"curriculum":[77],"learning":[78,151],"by":[79,95],"exploiting":[80],"fact":[82],"that":[83,94],"various":[85],"highly":[89],"correlated.":[90],"also":[92],"show":[93],"incorporating":[96],"information":[97],"from":[98],"segmentation":[99],"masks":[100],"can":[103],"both":[104],"decrease":[105],"its":[106],"error":[107],"generate":[109],"data":[110,123],"synthetic":[112],"lesions.":[113],"evaluate":[115],"our":[116,171],"on":[118,173],"ISLES":[120],"BRATS":[122],"sets":[124],"demonstrate":[126,170],"statistically":[127,160,180],"significant":[128,161,181],"improvements":[129],"over":[130,163,183],"state-of-the-art":[131],"methods":[132],"tasks.":[136],"This":[137],"improvement":[138,162,182],"increases":[139],"further":[140],"when":[141],"multiple":[142],"used,":[146],"demonstrating":[147],"of":[150],"common":[153],"space,":[155],"again":[156],"resulting":[157],"in":[158],"current":[165],"best":[166,186],"method.":[167,187],"Finally,":[168],"we":[169],"approach":[172],"non":[174],"skull-stripped":[175],"brain":[176],"images,":[177],"producing":[178],"previous":[185],"Code":[188],"made":[190],"publicly":[191],"available":[192],"at":[193],"https://github.com/agis85/multimodal_brain_synthesis.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":58},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":51},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":52},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
