{"id":"https://openalex.org/W7134851156","doi":"https://doi.org/10.48550/arxiv.2603.06852","title":"Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction","display_name":"Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134851156","doi":"https://doi.org/10.48550/arxiv.2603.06852"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.06852","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128654480","display_name":"Yulun Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wu, Yulun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029297803","display_name":"Ruyi Zha","orcid":"https://orcid.org/0009-0005-0410-1807"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zha, Ruyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128654950","display_name":"Wei Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128676942","display_name":"Yingying Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yingying","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128669292","display_name":"Yuanhao Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Yuanhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128657524","display_name":"Yaoyao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yaoyao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5128654480"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.5702999830245972,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.5702999830245972,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.23340000212192535,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.03880000114440918,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/gaussian","display_name":"Gaussian","score":0.6915000081062317},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.43790000677108765},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4074999988079071},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4007999897003174},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.3978999853134155},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.38370001316070557},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.3573000133037567},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.34769999980926514}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6915000081062317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6258000135421753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5234000086784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4860999882221222},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.43790000677108765},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4074999988079071},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.3441999852657318},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3082999885082245},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3041999936103821},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30379998683929443},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.28949999809265137},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.27250000834465027},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.2581000030040741},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.06852","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.06852","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06852","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.06852","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.7611789703369141,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sparse-view":[0],"computed":[1],"tomography":[2],"(CT)":[3],"is":[4],"critical":[5],"for":[6,64,104],"reducing":[7],"radiation":[8],"exposure":[9],"to":[10,69,117,125],"patients.":[11],"Recent":[12],"advances":[13],"in":[14,80,182],"radiative":[15],"3D":[16],"Gaussian":[17,89,106,112,131],"Splatting":[18],"(3DGS)":[19],"have":[20],"enabled":[21],"fast":[22],"and":[23,67,75,120,147,177],"accurate":[24],"sparse-view":[25],"CT":[26,165],"reconstruction.":[27],"Despite":[28],"these":[29],"algorithmic":[30],"advancements,":[31],"practical":[32],"reconstruction":[33,185],"fidelity":[34],"remains":[35],"fundamentally":[36],"bounded":[37],"by":[38],"the":[39,42,46,71,140,144,149,152,156],"quality":[40],"of":[41,51,129,143],"captured":[43],"data,":[44],"raising":[45],"crucial":[47],"yet":[48],"underexplored":[49],"problem":[50],"X-ray":[52,81,105],"active":[53,57,92],"view":[54,58,93,188],"selection.":[55],"Existing":[56],"selection":[59,94,189],"methods":[60],"are":[61,115],"primarily":[62],"designed":[63],"natural-light":[65],"scenes":[66],"fail":[68],"capture":[70],"unique":[72],"geometric":[73,175],"ambiguities":[74],"physical":[76],"attenuation":[77],"properties":[78],"inherent":[79],"imaging.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86,109,138],"present":[87],"Perturbed":[88],"Ensemble,":[90],"an":[91,127],"framework":[95],"that":[96,114,168],"integrates":[97],"uncertainty":[98],"modeling":[99],"with":[100,151],"sequential":[101],"decision-making,":[102],"tailored":[103],"Splatting.":[107],"Specifically,":[108],"identify":[110],"low-density":[111],"primitives":[113],"likely":[116],"be":[118],"uncertain":[119],"apply":[121],"stochastic":[122],"density":[123,132],"scaling":[124],"construct":[126],"ensemble":[128,145],"plausible":[130],"fields.":[133],"For":[134],"each":[135],"candidate":[136],"projection,":[137],"measure":[139],"structural":[141],"variance":[142,154],"predictions":[146],"select":[148],"one":[150],"highest":[153],"as":[155],"next":[157],"best":[158],"view.":[159],"Extensive":[160],"experimental":[161],"results":[162],"on":[163],"arbitrary-trajectory":[164],"benchmarks":[166],"demonstrate":[167],"our":[169],"density-guided":[170],"perturbation":[171],"strategy":[172],"effectively":[173],"eliminates":[174],"artifacts":[176],"consistently":[178],"outperforms":[179],"existing":[180],"baselines":[181],"progressive":[183],"tomographic":[184],"under":[186],"unified":[187],"protocols.":[190]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-11T00:00:00"}
