{"id":"https://openalex.org/W2909917441","doi":"https://doi.org/10.1109/isbi.2019.8759159","title":"Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks","display_name":"Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2909917441","doi":"https://doi.org/10.1109/isbi.2019.8759159","mag":"2909917441"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2019.8759159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1901.05880","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021649422","display_name":"Debarghya China","orcid":"https://orcid.org/0000-0001-9053-8119"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debarghya China","raw_affiliation_strings":["NVIDIA, Bengaluru, India","Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, Bengaluru, India","institution_ids":[]},{"raw_affiliation_string":"Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103933664","display_name":"Francis Tom","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Francis Tom","raw_affiliation_strings":["NVIDIA, Bengaluru, India","Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, Bengaluru, India","institution_ids":[]},{"raw_affiliation_string":"Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019609542","display_name":"Sumanth Nandamuri","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumanth Nandamuri","raw_affiliation_strings":["NVIDIA, Bengaluru, India","Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, Bengaluru, India","institution_ids":[]},{"raw_affiliation_string":"Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017373839","display_name":"Aupendu Kar","orcid":"https://orcid.org/0000-0001-5696-5002"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aupendu Kar","raw_affiliation_strings":["NVIDIA, Bengaluru, India","[NVIDIA, Bengaluru, India]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, Bengaluru, India","institution_ids":[]},{"raw_affiliation_string":"[NVIDIA, Bengaluru, India]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103118969","display_name":"Mukundhan Srinivasan","orcid":"https://orcid.org/0000-0002-8066-1137"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mukundhan Srinivasan","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India","Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032809289","display_name":"Pabitra Mitra","orcid":"https://orcid.org/0000-0002-1908-9813"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pabitra Mitra","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India","Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010986022","display_name":"Debdoot Sheet","orcid":"https://orcid.org/0000-0001-9046-149X"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debdoot Sheet","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, India","Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology \u2013 Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00564879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"798","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9977999925613403,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9965999722480774,"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":0.7291371822357178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7138177156448364},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6371829509735107},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5976746082305908},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5894290208816528},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5583850741386414},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5134578347206116},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.4557000398635864},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.4543565511703491},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4449387490749359},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.44294968247413635},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.4383712112903595},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4375345706939697},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2554836869239807},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24514958262443542},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0858008861541748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291371822357178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7138177156448364},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6371829509735107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5976746082305908},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5894290208816528},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5583850741386414},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5134578347206116},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.4557000398635864},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.4543565511703491},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4449387490749359},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.44294968247413635},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4383712112903595},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4375345706939697},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2554836869239807},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24514958262443542},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0858008861541748},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isbi.2019.8759159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2019.8759159","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1901.05880","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.05880","pdf_url":"https://arxiv.org/pdf/1901.05880","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"mag:2909917441","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1901.05880","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1901.05880","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1901.05880","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1901.05880","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1901.05880","pdf_url":"https://arxiv.org/pdf/1901.05880","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2909917441.pdf","grobid_xml":"https://content.openalex.org/works/W2909917441.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1492380776","https://openalex.org/W1686810756","https://openalex.org/W1991719850","https://openalex.org/W1992753883","https://openalex.org/W2043292349","https://openalex.org/W2130125423","https://openalex.org/W2153638435","https://openalex.org/W2766934651","https://openalex.org/W2768814045","https://openalex.org/W2782757030","https://openalex.org/W2943006684","https://openalex.org/W2962679947","https://openalex.org/W2963093980","https://openalex.org/W6637373629","https://openalex.org/W6747680804","https://openalex.org/W6751632739","https://openalex.org/W6762430792"],"related_works":["https://openalex.org/W2963558449","https://openalex.org/W2184746782","https://openalex.org/W3033958560","https://openalex.org/W46047422","https://openalex.org/W2128894842","https://openalex.org/W1506815086","https://openalex.org/W2183077383","https://openalex.org/W2184366474","https://openalex.org/W2953425949","https://openalex.org/W2787700830","https://openalex.org/W3133146905","https://openalex.org/W2393521500","https://openalex.org/W2165605905","https://openalex.org/W2182789538","https://openalex.org/W1911335491","https://openalex.org/W1987329708","https://openalex.org/W1978199384","https://openalex.org/W3153109126","https://openalex.org/W2074116600","https://openalex.org/W2115297358"],"abstract_inverted_index":{"Ultrasound":[0],"image":[1,19,54,145,191],"compression":[2,20,35,132,192],"by":[3],"preserving":[4,137],"speckle-based":[5],"key":[6],"information":[7,58,79],"is":[8,64,160],"a":[9,40,67,131,187],"challenging":[10],"task.":[11],"In":[12],"this":[13,181],"paper,":[14],"we":[15],"introduce":[16],"an":[17],"ultrasound":[18,74],"framework":[21],"with":[22,47,121,169],"the":[23,86,92,100,105,124,138],"ability":[24],"to":[25,71,81,98,150,184],"retain":[26],"realism":[27],"of":[28,51,91,107,134,141,154],"speckle":[29,190],"appearance":[30],"despite":[31],"achieving":[32],"very":[33],"high-density":[34],"factors.":[36],"The":[37,62,127],"compressor":[38],"employs":[39],"tissue":[41,82],"segmentation":[42,146],"method,":[43],"transmitting":[44],"segments":[45],"along":[46],"transducer":[48],"frequency,":[49],"number":[50],"samples":[52],"and":[53,118,177],"size":[55],"as":[56,113,115,186],"essential":[57,78],"required":[59],"for":[60,189],"decompression.":[61],"decompressor":[63],"based":[65],"on":[66,147],"convolutional":[68],"network":[69],"trained":[70],"generate":[72],"patho-realistic":[73],"images":[75,109,149,166],"which":[76,158],"convey":[77],"pertinent":[80],"pathology":[83],"visible":[84],"in":[85],"images.":[87],"We":[88,102,179],"demonstrate":[89],"generalizability":[90],"building":[93],"blocks":[94],"using":[95,110],"two":[96],"variants":[97],"build":[99],"compressor.":[101],"have":[103],"evaluated":[104],"quality":[106],"decompressed":[108,148],"distortion":[111],"losses":[112],"well":[114],"perception":[116],"loss":[117],"compared":[119],"it":[120],"other":[122],"off":[123],"shelf":[125],"solutions.":[126],"proposed":[128],"method":[129],"achieves":[130],"ratio":[133],"725:1":[135],"while":[136],"statistical":[139],"distribution":[140],"speckles.":[142],"This":[143],"enables":[144],"achieve":[151],"dice":[152],"score":[153],"0.89":[155],"\u00b1":[156],"0.11,":[157],"evidently":[159],"not":[161],"so":[162],"accurately":[163],"achievable":[164],"when":[165],"are":[167],"compressed":[168],"current":[170],"standards":[171],"like":[172],"JPEG,":[173],"JPEG":[174],"2000,":[175],"WebP":[176],"BPG.":[178],"envision":[180],"frame":[182],"work":[183],"serve":[185],"roadmap":[188],"standards.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
