{"id":"https://openalex.org/W2034397885","doi":"https://doi.org/10.1145/1531743.1531765","title":"Accelerating total variation regularization for matrix-valued images on GPUs","display_name":"Accelerating total variation regularization for matrix-valued images on GPUs","publication_year":2009,"publication_date":"2009-05-18","ids":{"openalex":"https://openalex.org/W2034397885","doi":"https://doi.org/10.1145/1531743.1531765","mag":"2034397885"},"language":"en","primary_location":{"id":"doi:10.1145/1531743.1531765","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1531743.1531765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM conference on Computing frontiers","raw_type":"proceedings-article"},"type":"article","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/A5109752527","display_name":"Maryam Moazeni","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Maryam Moazeni","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056478657","display_name":"Alex Bui","orcid":"https://orcid.org/0000-0002-4702-1373"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Bui","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078132977","display_name":"Majid Sarrafzadeh","orcid":"https://orcid.org/0000-0001-8407-8689"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Majid Sarrafzadeh","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109752527"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":0.4937,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6951914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9988999962806702,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451401710510254},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6125896573066711},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.5654737949371338},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.559141218662262},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.4801085293292999},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.47320812940597534},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4638315439224243},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4497714042663574},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44590628147125244},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44036656618118286},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43739306926727295},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.42097288370132446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3995272219181061},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.39818042516708374},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3980455696582794},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.21564772725105286},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.2149295210838318},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13998165726661682},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11407315731048584},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.08019080758094788}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451401710510254},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6125896573066711},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.5654737949371338},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.559141218662262},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.4801085293292999},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.47320812940597534},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4638315439224243},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4497714042663574},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44590628147125244},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44036656618118286},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43739306926727295},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.42097288370132446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3995272219181061},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.39818042516708374},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3980455696582794},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.21564772725105286},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2149295210838318},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13998165726661682},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11407315731048584},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.08019080758094788},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1531743.1531765","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1531743.1531765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM conference on Computing frontiers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1531660685","https://openalex.org/W1579198843","https://openalex.org/W1964802316","https://openalex.org/W1998999283","https://openalex.org/W2020634604","https://openalex.org/W2036785860","https://openalex.org/W2060773902","https://openalex.org/W2074888367","https://openalex.org/W2103559027","https://openalex.org/W2108157916","https://openalex.org/W2120259577","https://openalex.org/W2123176564","https://openalex.org/W2128022558","https://openalex.org/W2133561609","https://openalex.org/W2137113506","https://openalex.org/W2138867322","https://openalex.org/W2148671841","https://openalex.org/W2148873802","https://openalex.org/W2163229756","https://openalex.org/W2620746779","https://openalex.org/W6679668933","https://openalex.org/W6738527174"],"related_works":["https://openalex.org/W1768769760","https://openalex.org/W2413360119","https://openalex.org/W1576270090","https://openalex.org/W2131307089","https://openalex.org/W2356293051","https://openalex.org/W2157123855","https://openalex.org/W57104752","https://openalex.org/W2547933944","https://openalex.org/W3106021769","https://openalex.org/W1983384614"],"abstract_inverted_index":{"The":[0],"advent":[1],"of":[2,31,42,49,52,56,84,91],"new":[3],"matrix-valued":[4,106],"magnetic":[5],"resonance":[6],"imaging":[7,85,107],"modalities":[8],"such":[9],"as":[10],"Diffusion":[11],"Tensor":[12],"Imaging":[13],"(DTI)":[14],"requires":[15],"extensive":[16],"computational":[17],"acceleration.":[18],"Computational":[19],"acceleration":[20],"on":[21],"graphics":[22],"processing":[23],"units":[24],"(GPUs)":[25],"can":[26,87],"make":[27],"the":[28,40,89,95],"regularization":[29],"(denoising)":[30],"DTI":[32,43,53,80],"images":[33,44,54],"attractive":[34],"in":[35,45],"clinical":[36],"settings,":[37],"hence":[38],"improving":[39],"quality":[41,90],"a":[46,69],"broad":[47],"range":[48],"applications.":[50],"Construction":[51],"consists":[55],"direction-specific":[57],"Magnetic":[58],"Resonance":[59],"(MR)":[60],"measurements.":[61],"Compared":[62],"with":[63],"conventional":[64],"MR,":[65],"direction-sensitive":[66],"acquisition":[67],"has":[68],"lower":[70],"signal-to-noise":[71],"ratio":[72],"(SNR).":[73],"Therefore,":[74],"high":[75],"noise":[76],"levels":[77],"often":[78],"limit":[79],"imaging.":[81],"Advanced":[82],"post-processing":[83,96],"data":[86],"improve":[88],"estimated":[92],"tensors.":[93],"However,":[94],"problem":[97],"is":[98],"only":[99],"made":[100],"more":[101],"computationally":[102],"difficult":[103],"when":[104],"considering":[105],"data.":[108]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
