{"id":"https://openalex.org/W2037235826","doi":"https://doi.org/10.1109/icip.2013.6738291","title":"Multi-scale, multi-level, heterogeneous features extraction and classification of volumetric medical images","display_name":"Multi-scale, multi-level, heterogeneous features extraction and classification of volumetric medical images","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2037235826","doi":"https://doi.org/10.1109/icip.2013.6738291","mag":"2037235826"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5100424132","display_name":"Shuai Li","orcid":"https://orcid.org/0000-0003-4182-1588"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365836","display_name":"Qinping Zhao","orcid":"https://orcid.org/0000-0001-5600-5300"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinping Zhao","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039246941","display_name":"Shengfa Wang","orcid":"https://orcid.org/0000-0001-9030-833X"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shengfa Wang","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, USA","Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035153076","display_name":"Aimin Hao","orcid":"https://orcid.org/0000-0002-5774-6706"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Hao","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408797","display_name":"Hong Qin","orcid":"https://orcid.org/0000-0001-7699-1355"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Qin","raw_affiliation_strings":["Department of Computer Science, Stony Brook University, USA","Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Stony Brook University, USA","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100424132"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.10420034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1418","last_page":"1422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976999759674072,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976999759674072,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9972000122070312,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9804999828338623,"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/robustness","display_name":"Robustness (evolution)","score":0.7478715777397156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7386757135391235},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7360431551933289},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.645715057849884},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6192659735679626},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6073579788208008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5525802373886108},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.5353932976722717},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5249438285827637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5197995901107788},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45531827211380005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3443892002105713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27264463901519775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2581827640533447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1771981120109558},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08333683013916016}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7478715777397156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386757135391235},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7360431551933289},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.645715057849884},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6192659735679626},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6073579788208008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525802373886108},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.5353932976722717},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5249438285827637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5197995901107788},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45531827211380005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3443892002105713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27264463901519775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2581827640533447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1771981120109558},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08333683013916016},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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":13,"referenced_works":["https://openalex.org/W785988557","https://openalex.org/W1979646836","https://openalex.org/W1997626261","https://openalex.org/W2021640336","https://openalex.org/W2030566229","https://openalex.org/W2083663302","https://openalex.org/W2107703031","https://openalex.org/W2126899470","https://openalex.org/W2144710097","https://openalex.org/W2152298929","https://openalex.org/W2162106299","https://openalex.org/W6622630305","https://openalex.org/W6655961161"],"related_works":["https://openalex.org/W2365492952","https://openalex.org/W1486519939","https://openalex.org/W2770593030","https://openalex.org/W1996690921","https://openalex.org/W4386858688","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W4380302312","https://openalex.org/W4385338604","https://openalex.org/W3081626085"],"abstract_inverted_index":{"This":[0],"paper":[1],"articulates":[2],"a":[3],"novel":[4],"method":[5],"for":[6,91],"the":[7,33,49,80,101],"heterogeneous":[8],"feature":[9,42,68],"extraction":[10],"and":[11,28,40,65,97,104],"classification":[12],"directly":[13],"on":[14],"volumetric":[15,37],"images,":[16],"which":[17],"covers":[18],"multi-scale":[19,22,63],"point":[20],"feature,":[21,24,27],"surface":[23],"multi-level":[25],"curve":[26,67],"blob":[29],"feature.":[30],"To":[31],"tackle":[32],"challenge":[34],"of":[35,52,107],"complex":[36],"inner":[38],"structure":[39],"diverse":[41],"forms,":[43],"our":[44,108],"technical":[45],"solution":[46],"hinges":[47],"upon":[48],"integrated":[50],"approach":[51],"locally-defined":[53],"diffusion":[54],"tensor":[55],"(DT),":[56],"DT-based":[57],"anisotropic":[58],"convolution":[59],"kernel":[60],"(DACK),":[61],"DACK-based":[62],"analysis,":[64],"DT-governed":[66],"growing.":[69],"The":[70],"extracted":[71],"structural":[72],"features":[73],"can":[74],"be":[75],"further":[76],"semantically":[77],"classified.":[78],"At":[79],"computational":[81],"fronts,":[82],"we":[83],"design":[84],"CUDA-based":[85],"algorithm":[86],"to":[87],"conduct":[88],"parallel":[89],"computation":[90],"time":[92],"consuming":[93],"tasks.":[94],"Various":[95],"experiments":[96],"timing":[98],"tests":[99],"demonstrate":[100],"effectiveness,":[102],"robustness,":[103],"high":[105],"performance":[106],"method.":[109]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}