{"id":"https://openalex.org/W2967681529","doi":"https://doi.org/10.1109/tmi.2020.2970867","title":"MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box Constraints","display_name":"MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box Constraints","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W2967681529","doi":"https://doi.org/10.1109/tmi.2020.2970867","mag":"2967681529","pmid":"https://pubmed.ncbi.nlm.nih.gov/32012003"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2020.2970867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.2970867","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":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.05782","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ouwen Huang","orcid":"https://orcid.org/0000-0003-1670-4179"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ouwen Huang","raw_affiliation_strings":["Department of Biomedical Engineering, Duke University, Durham, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Will Long","orcid":"https://orcid.org/0000-0001-9533-318X"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Will Long","raw_affiliation_strings":["Department of Biomedical Engineering, Duke University, Durham, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nick Bottenus","orcid":"https://orcid.org/0000-0002-4080-2310"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Bottenus","raw_affiliation_strings":["Department of Biomedical Engineering, Duke University, Durham, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marcelo Lerendegui","orcid":"https://orcid.org/0000-0001-6722-4605"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcelo Lerendegui","raw_affiliation_strings":["Department of Biomedical Engineering, Duke University, Durham, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gregg E. Trahey","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregg E. Trahey","raw_affiliation_strings":["Department of Biomedical Engineering, Duke University, Durham, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sina Farsiu","orcid":"https://orcid.org/0000-0003-4872-2902"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sina Farsiu","raw_affiliation_strings":["Department of Biomedical Engineering, Duke University, Durham, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mark L. Palmeri","orcid":"https://orcid.org/0000-0001-8995-0050"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark L. Palmeri","raw_affiliation_strings":["Department of Biomedical Engineering, Duke University, Durham, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":2.4534,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.91151714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"39","issue":"6","first_page":"2277","last_page":"2286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.8203999996185303,"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"}},"topics":[{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.8203999996185303,"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/T10958","display_name":"Ultrasound and Hyperthermia Applications","score":0.05640000104904175,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01360000018030405,"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/imaging-phantom","display_name":"Imaging phantom","score":0.7440000176429749},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6560999751091003},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5512999892234802},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5267000198364258},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5263000130653381},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.5259000062942505},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5005999803543091},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4812999963760376},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.45829999446868896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45570001006126404}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.784500002861023},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.7440000176429749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869000196456909},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6678000092506409},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6560999751091003},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5512999892234802},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5267000198364258},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5263000130653381},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.5259000062942505},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5005999803543091},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4812999963760376},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.45829999446868896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4410000145435333},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4269999861717224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.30820000171661377},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C14103023","wikidata":"https://www.wikidata.org/wiki/Q11681459","display_name":"Pairing","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.26269999146461487},{"id":"https://openalex.org/C2776127602","wikidata":"https://www.wikidata.org/wiki/Q5038319","display_name":"Cardiac imaging","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C2910830941","wikidata":"https://www.wikidata.org/wiki/Q216933","display_name":"Cardiac Ultrasound","level":3,"score":0.2554999887943268},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.2540999948978424},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25380000472068787}],"mesh":[{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/tmi.2020.2970867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.2970867","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:32012003","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32012003","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:arXiv.org:1908.05782","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.05782","pdf_url":"https://arxiv.org/pdf/1908.05782","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7286793","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7286793","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.05782","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.05782","pdf_url":"https://arxiv.org/pdf/1908.05782","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2685097318","display_name":null,"funder_award_id":"5T32GM007171-44","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G270597347","display_name":null,"funder_award_id":"R01-EB026574","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2967681529.pdf","grobid_xml":"https://content.openalex.org/works/W2967681529.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1998281977","https://openalex.org/W2024443146","https://openalex.org/W2047853863","https://openalex.org/W2051295922","https://openalex.org/W2057501202","https://openalex.org/W2099244020","https://openalex.org/W2107296937","https://openalex.org/W2116449096","https://openalex.org/W2120579230","https://openalex.org/W2133438564","https://openalex.org/W2133665775","https://openalex.org/W2158793892","https://openalex.org/W2166591710","https://openalex.org/W2169225145","https://openalex.org/W2194775991","https://openalex.org/W2328334741","https://openalex.org/W2557521472","https://openalex.org/W2559597482","https://openalex.org/W2584483805","https://openalex.org/W2593414223","https://openalex.org/W2739277252","https://openalex.org/W2774320778","https://openalex.org/W2783188560","https://openalex.org/W2906727445","https://openalex.org/W2907655953","https://openalex.org/W2907742502","https://openalex.org/W2907804359","https://openalex.org/W2908022321","https://openalex.org/W2921827007","https://openalex.org/W2922710603","https://openalex.org/W2938626551","https://openalex.org/W2945684676","https://openalex.org/W2959573983","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963494934","https://openalex.org/W2963620158","https://openalex.org/W2990963722","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6678856934","https://openalex.org/W6681096077","https://openalex.org/W6685352114","https://openalex.org/W6746309934","https://openalex.org/W6753441378","https://openalex.org/W6755312952","https://openalex.org/W6755625687","https://openalex.org/W6759523125"],"related_works":[],"abstract_inverted_index":{"Image":[0],"post-processing":[1,20,100,108,122,168,179,204],"is":[2,155],"used":[3,195],"in":[4,170,184,219],"clinical-grade":[5,40,68,121],"ultrasound":[6,167,185],"scanners":[7],"to":[8,37,88,95,103,120,159,188],"improve":[9],"image":[10,75,186],"quality":[11],"(e.g.,":[12],"reduce":[13],"speckle":[14],"noise":[15],"and":[16,25,138,217],"enhance":[17],"contrast).":[18],"These":[19],"techniques":[21],"vary":[22],"across":[23],"manufacturers":[24],"are":[26],"generally":[27],"kept":[28],"proprietary,":[29],"which":[30],"presents":[31],"a":[32,44,78,110,124,134,177,197],"challenge":[33],"for":[34,85,181,200],"researchers":[35],"looking":[36],"match":[38],"current":[39,171],"workflows.":[41],"We":[42],"introduce":[43],"deep":[45,161],"learning":[46,162],"framework,":[47],"MimickNet,":[48],"that":[49,164],"transforms":[50],"conventional":[51],"delay-and-summed":[52],"(DAS)":[53],"beams":[54],"into":[55],"the":[56,83,104,156,212],"approximate":[57,97,166],"Dynamic":[58],"Tissue":[59],"Contrast":[60],"Enhanced":[61],"(DTCE\u2122)":[62],"post-processed":[63,74],"images":[64],"found":[65,169],"on":[66,123,133,143],"Siemens":[67],"scanners.":[69],"Training":[70],"MimickNet":[71,94,107,174,213],"only":[72],"requires":[73],"samples":[76],"from":[77],"scanner":[79],"of":[80],"interest":[81],"without":[82,101],"need":[84],"explicit":[86],"pairing":[87],"DAS":[89],"data.":[90,106],"This":[91],"flexibility":[92],"allows":[93],"hypothetically":[96],"any":[98],"manufacturer's":[99],"access":[102],"pre-processed":[105],"achieves":[109],"0.940":[111],"\u00b1":[112,130,140],"0.018":[113],"structural":[114],"similarity":[115],"index":[116],"measurement":[117],"(SSIM)":[118],"compared":[119],"400":[125],"cine-loop":[126,147],"test":[127],"set,":[128],"0.937":[129],"0.025":[131],"SSIM":[132,142],"prospectively":[135],"acquired":[136],"dataset,":[137],"0.928":[139],"0.003":[141],"an":[144],"out-of-distribution":[145],"cardiac":[146],"after":[148],"gain":[149],"adjustment.":[150],"To":[151,206],"our":[152],"knowledge,":[153],"this":[154,207],"first":[157],"work":[158],"establish":[160],"models":[163],"closely":[165],"medical":[172],"practice.":[173],"serves":[175],"as":[176,196],"clinical":[178],"baseline":[180],"future":[182],"works":[183],"formation":[187],"compare":[189],"against.":[190],"Additionally,":[191],"it":[192],"can":[193],"be":[194],"pretrained":[198],"model":[199],"fine-tuning":[201],"towards":[202],"different":[203],"techniques.":[205],"end,":[208],"we":[209],"have":[210],"made":[211],"software,":[214],"phantom":[215],"data,":[216],"permitted":[218],"vivo":[220],"data":[221],"open-source":[222],"at":[223],"https://github.com/ouwen/MimickNet.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2019-08-22T00:00:00"}