{"id":"https://openalex.org/W2564209890","doi":"https://doi.org/10.1145/3013971.3013984","title":"Automated brain extraction and associated 3D inspection layers for the Rhesus macaque MRI datasets","display_name":"Automated brain extraction and associated 3D inspection layers for the Rhesus macaque MRI datasets","publication_year":2016,"publication_date":"2016-12-03","ids":{"openalex":"https://openalex.org/W2564209890","doi":"https://doi.org/10.1145/3013971.3013984","mag":"2564209890"},"language":"en","primary_location":{"id":"doi:10.1145/3013971.3013984","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3013971.3013984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry - Volume 1","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/A5020125508","display_name":"Zeqing Fu","orcid":"https://orcid.org/0000-0003-0641-4696"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeqing Fu","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044818703","display_name":"Yiyi Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyi Deng","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055201228","display_name":"Xin Jia","orcid":"https://orcid.org/0000-0001-6026-5068"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jia","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049561482","display_name":"Bin Gao","orcid":"https://orcid.org/0000-0003-4458-3917"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Gao","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077175393","display_name":"Xiaoming Zhu","orcid":"https://orcid.org/0000-0002-3212-9824"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Zhu","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101611819","display_name":"Yanlin Luo","orcid":"https://orcid.org/0000-0002-7881-2768"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlin Luo","raw_affiliation_strings":["Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5020125508"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.14335342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9970999956130981,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/rhesus-macaque","display_name":"Rhesus macaque","score":0.8645862340927124},{"id":"https://openalex.org/keywords/macaque","display_name":"Macaque","score":0.8337230682373047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352645993232727},{"id":"https://openalex.org/keywords/volume-rendering","display_name":"Volume rendering","score":0.5859429240226746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5686748027801514},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5027592182159424},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.49627000093460083},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.48804059624671936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4456242620944977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44052284955978394},{"id":"https://openalex.org/keywords/primate","display_name":"Primate","score":0.43606358766555786},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43573197722435},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2517673373222351},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20485714077949524},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.19148635864257812}],"concepts":[{"id":"https://openalex.org/C2779175743","wikidata":"https://www.wikidata.org/wiki/Q156606","display_name":"Rhesus macaque","level":2,"score":0.8645862340927124},{"id":"https://openalex.org/C2778950215","wikidata":"https://www.wikidata.org/wiki/Q177601","display_name":"Macaque","level":2,"score":0.8337230682373047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352645993232727},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.5859429240226746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5686748027801514},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5027592182159424},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.49627000093460083},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.48804059624671936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4456242620944977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44052284955978394},{"id":"https://openalex.org/C2780509455","wikidata":"https://www.wikidata.org/wiki/Q7380","display_name":"Primate","level":2,"score":0.43606358766555786},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43573197722435},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2517673373222351},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20485714077949524},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.19148635864257812},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3013971.3013984","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3013971.3013984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry - Volume 1","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":31,"referenced_works":["https://openalex.org/W274047099","https://openalex.org/W1489098793","https://openalex.org/W1973880112","https://openalex.org/W1975899001","https://openalex.org/W1978418571","https://openalex.org/W1983482668","https://openalex.org/W1987323833","https://openalex.org/W1989540554","https://openalex.org/W1999893542","https://openalex.org/W2004691878","https://openalex.org/W2006502651","https://openalex.org/W2025032336","https://openalex.org/W2025543453","https://openalex.org/W2031422433","https://openalex.org/W2070134745","https://openalex.org/W2070571659","https://openalex.org/W2070988798","https://openalex.org/W2071881327","https://openalex.org/W2078524519","https://openalex.org/W2080083696","https://openalex.org/W2082655966","https://openalex.org/W2086809121","https://openalex.org/W2105612509","https://openalex.org/W2114663654","https://openalex.org/W2117340355","https://openalex.org/W2127890285","https://openalex.org/W2169952919","https://openalex.org/W2257942137","https://openalex.org/W2323081015","https://openalex.org/W2476473242","https://openalex.org/W2504629029"],"related_works":["https://openalex.org/W2007287624","https://openalex.org/W2086682728","https://openalex.org/W4230020038","https://openalex.org/W2093187787","https://openalex.org/W1969968206","https://openalex.org/W1755520082","https://openalex.org/W2048402902","https://openalex.org/W2125548284","https://openalex.org/W1997191020","https://openalex.org/W2037088428"],"abstract_inverted_index":{"As":[0],"we":[1,94,116,154],"know,":[2],"the":[3,36,50,75,90,103,111,133,138,143,150,160,186,191],"rhesus":[4,52,91,162],"macaque":[5,53,163],"as":[6,35],"a":[7,47,96,118,179],"non-human":[8],"primate":[9],"is":[10,65,130],"quite":[11],"similar":[12],"to":[13,57,101,136],"human":[14,83],"being":[15],"in":[16,29,41,171],"genetics.":[17],"And":[18],"it":[19],"has":[20],"become":[21],"an":[22,66,174],"essential":[23],"animal":[24],"model":[25],"anatomy":[26],"and":[27,38,98,188],"physiology":[28],"many":[30],"modern":[31],"medicine":[32],"research":[33],"such":[34],"cardiovascular":[37],"cerebrovascular":[39],"diseases":[40],"recent":[42],"years.":[43],"This":[44],"paper":[45],"describes":[46],"pipeline":[48],"from":[49,105],"raw":[51],"brain":[54,104,112,164],"MRI":[55,106],"data":[56],"intuitive":[58,175],"3D":[59],"inspection":[60,139,144,168],"its":[61],"layers.":[62],"Brain":[63],"extraction":[64],"initial":[67],"step":[68],"for":[69,82,132,159],"subsequent":[70],"analyses,":[71],"but":[72],"most":[73],"of":[74,145,169,190],"existing":[76],"methods":[77],"so":[78,153],"far":[79],"are":[80],"designed":[81],"brain,":[84],"which":[85,129,166],"doesn't":[86],"work":[87],"well":[88],"with":[89],"macaque.":[92],"Firstly,":[93],"propose":[95],"reliable":[97],"efficient":[99],"method":[100],"extract":[102],"datasets":[107],"based":[108,123],"on":[109,124],"dividing":[110],"into":[113],"blocks.":[114],"Then,":[115],"design":[117,156],"trapezoid":[119],"opacity":[120],"transfer":[121],"function":[122],"CUDA-based":[125],"real-time":[126],"volume":[127,134],"ray-casting,":[128],"dedicated":[131],"rendering":[135],"make":[137],"more":[140],"intuitive.":[141],"Besides,":[142],"different":[146],"tissues":[147],"benefits":[148],"understanding":[149],"volumetric":[151],"datasets,":[152,165],"also":[155],"layer":[157],"filter":[158],"segmented":[161],"facilitates":[167],"interior":[170],"ROI":[172],"by":[173],"bimanual":[176],"interaction":[177],"via":[178],"Leap":[180],"Motion":[181],"sensor.":[182],"Our":[183],"experiments":[184],"prove":[185],"usability":[187],"efficiency":[189],"proposed":[192],"methods.":[193]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}