{"id":"https://openalex.org/W7161842021","doi":"https://doi.org/10.1109/isbi61048.2026.11515756","title":"Graph-Fista-Net: An Interpretable Graph Unrolling Network for Fast Compressed Sensing MRI","display_name":"Graph-Fista-Net: An Interpretable Graph Unrolling Network for Fast Compressed Sensing MRI","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161842021","doi":"https://doi.org/10.1109/isbi61048.2026.11515756"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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/A5136537217","display_name":"Aromal C. J","orcid":null},"institutions":[{"id":"https://openalex.org/I158338959","display_name":"University of Kerala","ror":"https://ror.org/05tqa9940","country_code":"IN","type":"education","lineage":["https://openalex.org/I158338959"]},{"id":"https://openalex.org/I3129367976","display_name":"APJ Abdul Kalam Technological University","ror":"https://ror.org/04yn30r61","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129367976"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aromal C. J","raw_affiliation_strings":["School of Electronic Systems and Automation, Digital University Kerala,Trivandrum,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Systems and Automation, Digital University Kerala,Trivandrum,India","institution_ids":["https://openalex.org/I158338959","https://openalex.org/I3129367976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062784800","display_name":"Sumit Datta","orcid":"https://orcid.org/0000-0003-2481-8184"},"institutions":[{"id":"https://openalex.org/I158338959","display_name":"University of Kerala","ror":"https://ror.org/05tqa9940","country_code":"IN","type":"education","lineage":["https://openalex.org/I158338959"]},{"id":"https://openalex.org/I3129367976","display_name":"APJ Abdul Kalam Technological University","ror":"https://ror.org/04yn30r61","country_code":"IN","type":"education","lineage":["https://openalex.org/I3129367976"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumit Datta","raw_affiliation_strings":["School of Electronic Systems and Automation, Digital University Kerala,Trivandrum,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Systems and Automation, Digital University Kerala,Trivandrum,India","institution_ids":["https://openalex.org/I158338959","https://openalex.org/I3129367976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5136537217"],"corresponding_institution_ids":["https://openalex.org/I158338959","https://openalex.org/I3129367976"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94170147,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.33090001344680786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.33090001344680786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.3057999908924103,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.04659999907016754,"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/compressed-sensing","display_name":"Compressed sensing","score":0.5121999979019165},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46309998631477356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3889999985694885},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3073999881744385},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2890999913215637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446999907493591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946000218391418},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5121999979019165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48260000348091125},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46309998631477356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3073999881744385},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28859999775886536},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.28700000047683716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26989999413490295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2029816571","https://openalex.org/W2100556411","https://openalex.org/W2115706991","https://openalex.org/W2773850766","https://openalex.org/W2778924750","https://openalex.org/W2791621240","https://openalex.org/W2798559986","https://openalex.org/W3133586866","https://openalex.org/W3171838928","https://openalex.org/W4391696983"],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"high":[1],"quality":[2],"magnetic":[3,109],"resonance":[4,110],"(MR)":[5],"images":[6],"from":[7],"compressed":[8],"sensing":[9],"(CS)":[10],"data":[11,111],"remains":[12],"a":[13,19,56,78],"difficult":[14],"problem,":[15],"especially":[16],"when":[17],"only":[18],"small":[20],"portion":[21],"of":[22,42,64,131],"k-space":[23],"is":[24,73],"sampled.":[25],"In":[26],"this":[27],"work,":[28],"we":[29],"introduce":[30],"Graph-FISTA-Net,":[31],"an":[32],"interpretable":[33,138],"unrolled":[34],"network":[35,84],"designed":[36],"for":[37],"fast":[38],"CS-MRI":[39],"reconstruction.":[40,142],"Instead":[41],"following":[43],"the":[44,65,83,132],"usual":[45],"fixed":[46],"iteration":[47],"order":[48],"in":[49,120],"FISTA":[50],"based":[51],"models,":[52],"our":[53],"model":[54],"learns":[55],"directed":[57],"acyclic":[58],"graph":[59,134],"that":[60],"connects":[61],"different":[62],"stages":[63],"optimization":[66],"process.":[67],"Each":[68],"node":[69],"captures":[70],"how":[71],"information":[72],"shared":[74],"between":[75],"iterations":[76],"through":[77],"temperature-controlled":[79],"adjacency":[80],"matrix,":[81],"enabling":[82],"to":[85,98],"discover":[86],"its":[87],"own":[88],"data-driven":[89],"momentum":[90],"pattern.":[91],"Entropy":[92],"and":[93,101,122,137],"sparsity":[94],"regularizations":[95],"are":[96],"incorporated":[97],"maintain":[99],"stability":[100],"ensure":[102],"monotone":[103],"convergence.":[104],"Experiments":[105],"with":[106],"T1-weighted":[107],"brain":[108],"(<tex":[112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$10-40":[114],"\\%$</tex>":[115],"sampling)":[116],"show":[117],"consistent":[118],"improvements":[119],"PSNR":[121],"SSIM":[123],"over":[124],"FISTA-Net":[125],"without":[126],"increasing":[127],"inference":[128],"time.":[129],"Visualizations":[130],"learned":[133],"reveal":[135],"clear":[136],"update":[139],"behaviors":[140],"during":[141]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}