{"id":"https://openalex.org/W4387882774","doi":"https://doi.org/10.1109/mlsp55844.2023.10285978","title":"View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images","display_name":"View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images","publication_year":2023,"publication_date":"2023-09-17","ids":{"openalex":"https://openalex.org/W4387882774","doi":"https://doi.org/10.1109/mlsp55844.2023.10285978"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp55844.2023.10285978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55844.2023.10285978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.14990","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072836219","display_name":"Eirik Agnalt \u00d8stmo","orcid":null},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]},{"id":"https://openalex.org/I4210095992","display_name":"Centre for Arctic Gas Hydrate, Environment and Climate","ror":"https://ror.org/00p8r6x45","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Eirik A. \u00d8stmo","raw_affiliation_strings":["UiT The Arctic University of Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway","institution_ids":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031748191","display_name":"Kristoffer Wickstr\u00f8m","orcid":"https://orcid.org/0000-0003-1395-7154"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]},{"id":"https://openalex.org/I4210095992","display_name":"Centre for Arctic Gas Hydrate, Environment and Climate","ror":"https://ror.org/00p8r6x45","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kristoffer K. Wickstr\u00f8m","raw_affiliation_strings":["UiT The Arctic University of Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway","institution_ids":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020540169","display_name":"Keyur Radiya","orcid":"https://orcid.org/0000-0002-9573-6525"},"institutions":[{"id":"https://openalex.org/I4210095992","display_name":"Centre for Arctic Gas Hydrate, Environment and Climate","ror":"https://ror.org/00p8r6x45","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]},{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]},{"id":"https://openalex.org/I1298853749","display_name":"University Hospital of North Norway","ror":"https://ror.org/030v5kp38","country_code":"NO","type":"healthcare","lineage":["https://openalex.org/I1298853749","https://openalex.org/I63903255"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Keyur Radiya","raw_affiliation_strings":["UiT The Arctic University of Norway","University Hospital of North Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway","institution_ids":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]},{"raw_affiliation_string":"University Hospital of North Norway","institution_ids":["https://openalex.org/I1298853749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023225712","display_name":"Michael Kampffmeyer","orcid":"https://orcid.org/0000-0002-7699-0405"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]},{"id":"https://openalex.org/I4210095992","display_name":"Centre for Arctic Gas Hydrate, Environment and Climate","ror":"https://ror.org/00p8r6x45","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]},{"id":"https://openalex.org/I144648426","display_name":"Norwegian Computing Center","ror":"https://ror.org/02gm7te43","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I144648426"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Michael C. Kampffmeyer","raw_affiliation_strings":["UiT The Arctic University of Norway","Norwegian Computing Center"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway","institution_ids":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]},{"raw_affiliation_string":"Norwegian Computing Center","institution_ids":["https://openalex.org/I144648426"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013414039","display_name":"Robert Jenssen","orcid":"https://orcid.org/0000-0002-7496-8474"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]},{"id":"https://openalex.org/I4210095992","display_name":"Centre for Arctic Gas Hydrate, Environment and Climate","ror":"https://ror.org/00p8r6x45","country_code":"NO","type":"facility","lineage":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]},{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]},{"id":"https://openalex.org/I144648426","display_name":"Norwegian Computing Center","ror":"https://ror.org/02gm7te43","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I144648426"]}],"countries":["DK","NO"],"is_corresponding":false,"raw_author_name":"Robert Jenssen","raw_affiliation_strings":["UiT The Arctic University of Norway","Norwegian Computing Center","University of Copenhagen"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway","institution_ids":["https://openalex.org/I4210095992","https://openalex.org/I78037679"]},{"raw_affiliation_string":"Norwegian Computing Center","institution_ids":["https://openalex.org/I144648426"]},{"raw_affiliation_string":"University of Copenhagen","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072836219"],"corresponding_institution_ids":["https://openalex.org/I4210095992","https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":0.6956,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72827384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9994999766349792,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9987999796867371,"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/T10052","display_name":"Medical Image Segmentation 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":0.7669720649719238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7479756474494934},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6525208353996277},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6450930237770081},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5965102910995483},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5887632966041565},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5717432498931885},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5389050245285034},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49534621834754944},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4734705984592438},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4730721414089203},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.42262890934944153},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.41126489639282227}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669720649719238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7479756474494934},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6525208353996277},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6450930237770081},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5965102910995483},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5887632966041565},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5717432498931885},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5389050245285034},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49534621834754944},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4734705984592438},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4730721414089203},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.42262890934944153},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.41126489639282227},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mlsp55844.2023.10285978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp55844.2023.10285978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2311.14990","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.14990","pdf_url":"https://arxiv.org/pdf/2311.14990","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:munin.uit.no:10037/32447","is_oa":true,"landing_page_url":"https://hdl.handle.net/10037/32447","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.14990","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.14990","pdf_url":"https://arxiv.org/pdf/2311.14990","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322887","display_name":"The Research Council","ror":"https://ror.org/03tcppy59"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387882774.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1999959695","https://openalex.org/W2020873066","https://openalex.org/W2607711656","https://openalex.org/W2627007876","https://openalex.org/W2643397491","https://openalex.org/W2787091153","https://openalex.org/W2910094941","https://openalex.org/W2954996726","https://openalex.org/W2964309882","https://openalex.org/W2980030301","https://openalex.org/W3014974815","https://openalex.org/W3019001223","https://openalex.org/W3038862319","https://openalex.org/W3101123465","https://openalex.org/W3112701542","https://openalex.org/W3132836459","https://openalex.org/W3172681723","https://openalex.org/W3198319215","https://openalex.org/W4200274794","https://openalex.org/W4212875960","https://openalex.org/W4377142573"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4306164210","https://openalex.org/W1998563493","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2383143032","https://openalex.org/W2977327189"],"abstract_inverted_index":{"Deep":[0],"learning":[1,31],"has":[2],"the":[3,19,52,55,106,110,141,146],"potential":[4],"to":[5],"revolutionize":[6],"medical":[7,26,39],"practice":[8],"by":[9,88],"automating":[10],"and":[11,17,21,66,83,123],"performing":[12],"important":[13],"tasks":[14],"like":[15],"detecting":[16],"delineating":[18],"size":[20],"locations":[22],"of":[23,112,145],"cancers":[24],"in":[25,50],"images.":[27,43,74,98],"However,":[28],"most":[29],"deep":[30],"models":[32],"rely":[33],"on":[34,125,149],"augmentation":[35,67,85,143],"techniques":[36],"that":[37],"treat":[38],"images":[40,49,71,126],"as":[41,72,138,140],"natural":[42,73],"For":[44],"contrast-enhanced":[45],"Computed":[46],"Tomography":[47],"(CT)":[48],"particular,":[51],"signals":[53],"producing":[54],"voxel":[56],"intensities":[57],"have":[58],"physical":[59],"meaning,":[60],"which":[61],"is":[62],"lost":[63],"during":[64,114],"preprocessing":[65,82],"when":[68,95],"treating":[69],"such":[70],"To":[75],"address":[76],"this,":[77],"we":[78],"propose":[79],"a":[80],"novel":[81],"intensity":[84,136,142],"scheme":[86],"inspired":[87],"how":[89],"radiologists":[90],"leverage":[91],"multiple":[92,150],"viewing":[93,107],"windows":[94,108],"evaluating":[96],"CT":[97],"Our":[99,132],"proposed":[100],"method,":[101],"window":[102],"shifting,":[103],"randomly":[104],"places":[105],"around":[109],"region":[111],"interest":[113],"training.":[115],"This":[116],"approach":[117],"improves":[118],"liver":[119],"lesion":[120],"segmentation":[121],"performance":[122],"robustness":[124],"with":[127],"poorly":[128],"timed":[129],"contrast":[130],"agent.":[131],"method":[133],"outperforms":[134],"classical":[135],"augmentations":[137],"well":[139],"pipeline":[144],"popular":[147],"nn-UNet":[148],"datasets.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2023-10-24T00:00:00"}