{"id":"https://openalex.org/W4382323318","doi":"https://doi.org/10.48550/arxiv.2306.14678","title":"Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs","display_name":"Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4382323318","doi":"https://doi.org/10.48550/arxiv.2306.14678"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2306.14678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.14678","pdf_url":"https://arxiv.org/pdf/2306.14678","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.14678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083605899","display_name":"Thomas Pinetz","orcid":"https://orcid.org/0000-0002-6100-2136"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pinetz, Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040257848","display_name":"Erich Kobler","orcid":"https://orcid.org/0000-0001-5167-4804"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kobler, Erich","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066662742","display_name":"Robert Haase","orcid":"https://orcid.org/0000-0001-6029-4192"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haase, Robert","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046483118","display_name":"Katerina Deike\u2010Hofmann","orcid":"https://orcid.org/0000-0002-4319-0428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deike-Hofmann, Katerina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084473005","display_name":"Alexander Radbruch","orcid":"https://orcid.org/0000-0001-6238-6525"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Radbruch, Alexander","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069332361","display_name":"Alexander Effland","orcid":"https://orcid.org/0000-0001-5936-048X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Effland, Alexander","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083605899"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9951000213623047,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9951000213623047,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9937000274658203,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9929999709129333,"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/gadolinium","display_name":"Gadolinium","score":0.5841020345687866},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5566858053207397},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.552356481552124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49942588806152344},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4406775236129761},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.41800445318222046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3998583257198334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.380450963973999},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.35523849725723267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3491726815700531},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3367716073989868},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25308215618133545},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.12628448009490967}],"concepts":[{"id":"https://openalex.org/C557651011","wikidata":"https://www.wikidata.org/wiki/Q1832","display_name":"Gadolinium","level":2,"score":0.5841020345687866},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5566858053207397},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.552356481552124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49942588806152344},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4406775236129761},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.41800445318222046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3998583257198334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.380450963973999},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.35523849725723267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3491726815700531},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3367716073989868},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25308215618133545},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.12628448009490967},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2306.14678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.14678","pdf_url":"https://arxiv.org/pdf/2306.14678","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2306.14678","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2306.14678","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.14678","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.14678","pdf_url":"https://arxiv.org/pdf/2306.14678","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4382323318.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4385543984","https://openalex.org/W2751885695","https://openalex.org/W4301391107","https://openalex.org/W2328364605","https://openalex.org/W2964601861","https://openalex.org/W3022866692","https://openalex.org/W3040057392","https://openalex.org/W2054514606","https://openalex.org/W2065385185","https://openalex.org/W1580543246"],"abstract_inverted_index":{"Today":[0],"Gadolinium-based":[1],"contrast":[2,138],"agents":[3],"(GBCA)":[4],"are":[5,18,119],"indispensable":[6],"in":[7,23,53],"Magnetic":[8],"Resonance":[9],"Imaging":[10],"(MRI)":[11],"for":[12,76,106,121,136],"diagnosing":[13],"various":[14],"diseases.":[15],"However,":[16],"GBCAs":[17],"expensive":[19],"and":[20,70,129],"may":[21],"accumulate":[22],"patients":[24],"with":[25,85],"potential":[26],"side":[27],"effects,":[28],"thus":[29],"dose-reduction":[30],"is":[31,35],"recommended.":[32],"Still,":[33],"it":[34],"unclear":[36],"to":[37,133,146],"which":[38],"extent":[39],"the":[40,48,86,98,107],"GBCA":[41,68,126,155],"dose":[42,82,127],"can":[43,130,143],"be":[44,131,144],"reduced":[45],"while":[46],"preserving":[47],"diagnostic":[49],"value":[50],"--":[51],"especially":[52],"pathological":[54],"regions.":[55],"To":[56],"address":[57],"this":[58],"issue,":[59],"we":[60,89],"collected":[61],"brain":[62],"MRI":[63],"scans":[64],"at":[65,80,124],"numerous":[66],"non-standard":[67,154],"dosages":[69],"developed":[71],"a":[72,91],"conditional":[73,117],"GAN":[74],"model":[75,142],"synthesizing":[77],"corresponding":[78],"images":[79,123,157],"fractional":[81],"levels.":[83],"Along":[84],"adversarial":[87],"loss,":[88],"advocate":[90],"novel":[92],"content":[93],"loss":[94],"function":[95],"based":[96],"on":[97],"Wasserstein":[99],"distance":[100],"of":[101,110],"locally":[102],"paired":[103],"patch":[104],"statistics":[105],"faithful":[108],"preservation":[109],"noise.":[111],"Our":[112],"numerical":[113],"experiments":[114],"show":[115],"that":[116],"GANs":[118],"suitable":[120],"generating":[122],"different":[125],"levels":[128],"used":[132],"augment":[134],"datasets":[135,149],"virtual":[137],"models.":[139],"Moreover,":[140],"our":[141],"transferred":[145],"openly":[147],"available":[148],"such":[150],"as":[151],"BraTS,":[152],"where":[153],"dosage":[156],"do":[158],"not":[159],"exist.":[160]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2023-06-28T00:00:00"}
