{"id":"https://openalex.org/W4225003103","doi":"https://doi.org/10.1109/isbi52829.2022.9761670","title":"Hybrid Atlas Building with Deep Registration Priors","display_name":"Hybrid Atlas Building with Deep Registration Priors","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4225003103","doi":"https://doi.org/10.1109/isbi52829.2022.9761670"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761670","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th 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/A5101197164","display_name":"Nian Wu","orcid":"https://orcid.org/0009-0009-4710-4281"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nian Wu","raw_affiliation_strings":["East China Normal University,Department of Computer Science and Technology,China","Department of Computer Science and Technology, East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Department of Computer Science and Technology,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370501","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-8454-7796"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["University of Virginia,Department of Computer Science,USA","Department of Computer Science, University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia,Department of Computer Science,USA","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Computer Science, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357912","display_name":"Miaomiao Zhang","orcid":"https://orcid.org/0000-0003-0457-3335"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miaomiao Zhang","raw_affiliation_strings":["University of Virginia,Department of Computer Science,USA","Department of Computer Science, University of Virginia, USA","Department of Electrical and Computer Engineering, University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia,Department of Computer Science,USA","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Computer Science, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["East China Normal University,Department of Computer Science and Technology,China","Department of Computer Science and Technology, East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Department of Computer Science and Technology,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033203506","display_name":"Yaxin Peng","orcid":"https://orcid.org/0000-0002-2983-555X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxin Peng","raw_affiliation_strings":["Shanghai University,College of Science,Department of Mathematics,China","Department of Mathematics, College of Science, Shanghai University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University,College of Science,Department of Mathematics,China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I113940042"]},{"raw_affiliation_string":"Department of Mathematics, College of Science, Shanghai University, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008090356","display_name":"Chaomin Shen","orcid":"https://orcid.org/0000-0001-9389-6472"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaomin Shen","raw_affiliation_strings":["East China Normal University,Department of Computer Science and Technology,China","Department of Computer Science and Technology, East China Normal University, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,Department of Computer Science and Technology,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101197164"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22757736,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9927999973297119,"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/atlas","display_name":"Atlas (anatomy)","score":0.853976845741272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7912688851356506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7115268111228943},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5986112356185913},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5783530473709106},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5576469898223877},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49886178970336914},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4855005741119385},{"id":"https://openalex.org/keywords/brain-atlas","display_name":"Brain atlas","score":0.45116475224494934},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.41041308641433716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33797895908355713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.330247163772583},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2678833603858948}],"concepts":[{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.853976845741272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912688851356506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7115268111228943},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5986112356185913},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5783530473709106},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5576469898223877},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49886178970336914},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4855005741119385},{"id":"https://openalex.org/C2780972224","wikidata":"https://www.wikidata.org/wiki/Q17047956","display_name":"Brain atlas","level":2,"score":0.45116475224494934},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41041308641433716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33797895908355713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.330247163772583},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2678833603858948},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761670","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W171407896","https://openalex.org/W1483548364","https://openalex.org/W1583338723","https://openalex.org/W1970928383","https://openalex.org/W1994088960","https://openalex.org/W2004537679","https://openalex.org/W2049114803","https://openalex.org/W2059307293","https://openalex.org/W2059640215","https://openalex.org/W2070339004","https://openalex.org/W2082598062","https://openalex.org/W2084177652","https://openalex.org/W2103857226","https://openalex.org/W2121014637","https://openalex.org/W2125391899","https://openalex.org/W2155298532","https://openalex.org/W2170167891","https://openalex.org/W2175579535","https://openalex.org/W2423948481","https://openalex.org/W2524483613","https://openalex.org/W2604920239","https://openalex.org/W2753016294","https://openalex.org/W2799913653","https://openalex.org/W2803738404","https://openalex.org/W2965946035","https://openalex.org/W3034908453","https://openalex.org/W3103052966","https://openalex.org/W3128127156","https://openalex.org/W4301014524","https://openalex.org/W6766813037","https://openalex.org/W6790093612","https://openalex.org/W7046793015"],"related_works":["https://openalex.org/W3214912135","https://openalex.org/W1990901612","https://openalex.org/W2951635595","https://openalex.org/W4387252449","https://openalex.org/W4319337879","https://openalex.org/W2012519212","https://openalex.org/W4249039539","https://openalex.org/W1523541591","https://openalex.org/W2592984741","https://openalex.org/W1967068856"],"abstract_inverted_index":{"Registration-based":[0],"atlas":[1,19,25,48,79],"building":[2,20,80],"often":[3],"poses":[4],"computational":[5,33],"challenges":[6],"in":[7,91],"high-dimensional":[8],"image":[9,28],"spaces.":[10],"In":[11,35],"this":[12,107],"paper,":[13],"we":[14,52],"introduce":[15],"a":[16,93],"novel":[17],"hybrid":[18,67],"algorithm":[21],"that":[22,40],"fast":[23],"estimates":[24],"from":[26,60],"large-scale":[27],"datasets":[29],"with":[30],"much":[31],"reduced":[32],"cost.":[34],"contrast":[36],"to":[37,54],"previous":[38],"approaches":[39],"iteratively":[41],"perform":[42],"registration":[43,59,100],"tasks":[44],"between":[45],"an":[46,75],"estimated":[47],"and":[49,87],"individual":[50],"images,":[51],"propose":[53],"use":[55],"learned":[56],"priors":[57],"of":[58,72,78,85,96,106],"pre-trained":[61],"neural":[62],"networks.":[63],"This":[64],"newly":[65],"developed":[66],"framework":[68],"features":[69],"several":[70],"advantages":[71],"(i)":[73],"providing":[74],"efficient":[76],"way":[77],"without":[81],"losing":[82],"the":[83,104],"quality":[84],"results,":[86],"(ii)":[88],"offering":[89],"flexibility":[90],"utilizing":[92],"wide":[94],"variety":[95],"deep":[97],"learning":[98],"based":[99],"methods.":[101],"We":[102],"demonstrate":[103],"effectiveness":[105],"proposed":[108],"model":[109],"on":[110],"3D":[111],"brain":[112],"magnetic":[113],"resonance":[114],"imaging":[115],"(MRI)":[116],"scans.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}