{"id":"https://openalex.org/W3026309613","doi":"https://doi.org/10.1109/isbi45749.2020.9098369","title":"Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks","display_name":"Self-Supervision vs. Transfer Learning: Robust Biomedical Image Analysis Against Adversarial Attacks","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3026309613","doi":"https://doi.org/10.1109/isbi45749.2020.9098369","mag":"3026309613"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th 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/A5086814487","display_name":"Deepak Anand","orcid":"https://orcid.org/0000-0001-7189-6885"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deepak Anand","raw_affiliation_strings":["Department of Electrical Engineering, IIT Bombay, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005337134","display_name":"Darshan Tank","orcid":"https://orcid.org/0000-0002-5138-8979"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Darshan Tank","raw_affiliation_strings":["Department of Electrical Engineering, IIT Bombay, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045920429","display_name":"Harshvardhan Tibrewal","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshvardhan Tibrewal","raw_affiliation_strings":["IIT Bombay, India"],"affiliations":[{"raw_affiliation_string":"IIT Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087629613","display_name":"Amit Sethi","orcid":"https://orcid.org/0000-0002-8634-1804"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Sethi","raw_affiliation_strings":["IIT Bombay, India"],"affiliations":[{"raw_affiliation_string":"IIT Bombay, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086814487"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8329107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1159","last_page":"1163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9832000136375427,"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":0.9280999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.793990433216095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7870927453041077},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7530148029327393},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6668490171432495},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6335588097572327},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6263346672058105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5506531596183777},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5246087312698364},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5127890706062317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4895087480545044},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4833821654319763},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4571099877357483},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.43248865008354187},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4169459342956543},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.41122424602508545},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38136985898017883}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.793990433216095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7870927453041077},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7530148029327393},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6668490171432495},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6335588097572327},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6263346672058105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5506531596183777},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5246087312698364},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5127890706062317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4895087480545044},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4833821654319763},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4571099877357483},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.43248865008354187},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4169459342956543},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41122424602508545},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38136985898017883},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","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":34,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1901129140","https://openalex.org/W1945616565","https://openalex.org/W2001412060","https://openalex.org/W2057441779","https://openalex.org/W2149933564","https://openalex.org/W2154549868","https://openalex.org/W2163605009","https://openalex.org/W2295582178","https://openalex.org/W2321533354","https://openalex.org/W2565639579","https://openalex.org/W2593345132","https://openalex.org/W2604505099","https://openalex.org/W2616180702","https://openalex.org/W2618530766","https://openalex.org/W2770241596","https://openalex.org/W2798251715","https://openalex.org/W2883594813","https://openalex.org/W2944828972","https://openalex.org/W2954540134","https://openalex.org/W2963207607","https://openalex.org/W2963863924","https://openalex.org/W2964097310","https://openalex.org/W2964253222","https://openalex.org/W2964744899","https://openalex.org/W2979427035","https://openalex.org/W2989929945","https://openalex.org/W4293846201","https://openalex.org/W4299518610","https://openalex.org/W4300485340","https://openalex.org/W6611801654","https://openalex.org/W6682132143","https://openalex.org/W6697274609","https://openalex.org/W6751045465"],"related_works":["https://openalex.org/W4312414840","https://openalex.org/W34092691","https://openalex.org/W2794908468","https://openalex.org/W2531570999","https://openalex.org/W2943467239","https://openalex.org/W1571801203","https://openalex.org/W4206276646","https://openalex.org/W101422005","https://openalex.org/W192740413","https://openalex.org/W3004135598"],"abstract_inverted_index":{"Deep":[0],"neural":[1,19,57],"networks":[2,20],"are":[3,36,59,77],"being":[4],"increasingly":[5],"used":[6],"for":[7,151,169],"disease":[8],"diagnosis":[9],"and":[10,190,197],"lesion":[11],"localization":[12],"on":[13,61,79,186],"biomedical":[14],"images.":[15,201],"However,":[16],"training":[17,126,145],"deep":[18],"not":[21],"only":[22,73],"requires":[23],"large":[24,63],"sets":[25],"of":[26,55,143,165,194,199],"expensive":[27],"ground":[28],"truth":[29],"(image":[30],"labels":[31],"or":[32],"pixel":[33],"annotations);":[34],"they":[35],"also":[37],"susceptible":[38],"to":[39,48,88,110,158,177],"adversarial":[40,125,144,154,178],"attacks.":[41,179],"Transfer":[42],"learning":[43,90,122,132],"alleviates":[44],"the":[45,52,74,80,102,106,112,141,163,187],"former":[46],"problem":[47],"some":[49],"extent,":[50],"wherein":[51],"lower":[53,113],"layers":[54,76],"a":[56,62,67,96,160],"network":[58],"pre-trained":[60],"labeled":[64],"dataset":[65],"from":[66,105],"different":[68],"domain":[69,82,108],"(e.g.,":[70,83],"ImageNet),":[71],"while":[72],"upper":[75],"fine-tuned":[78],"target":[81,107],"chest":[84,195],"X-rays).":[85],"An":[86],"alternative":[87],"transfer":[89,131],"is":[91,99],"self-supervised":[92,121,137],"learning,":[93],"in":[94,162],"which":[95],"supervised":[97,166],"task":[98],"created":[100],"using":[101,184],"unlabeled":[103],"images":[104],"itself":[109,146],"pre-train":[111],"layers.":[114],"In":[115,139],"this":[116],"work,":[117],"we":[118],"show":[119],"that":[120],"combined":[123],"with":[124],"offers":[127],"additional":[128],"advantages":[129],"over":[130],"as":[133,135,148,172,174],"well":[134,173],"vanilla":[136],"learning.":[138],"particular,":[140],"process":[142],"acts":[147],"data":[149,155,167],"augmentation":[150,156],"self-supervision.":[152],"This":[153],"leads":[157],"both":[159],"reduction":[161],"amount":[164],"required":[168],"comparable":[170],"accuracy,":[171],"natural":[175],"robustness":[176],"We":[180],"support":[181],"our":[182],"claims":[183],"experiments":[185],"two":[188],"modalities":[189],"tasks":[191],"-":[192],"classification":[193],"X-rays,":[196],"segmentation":[198],"MRI":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
