{"id":"https://openalex.org/W4414431940","doi":"https://doi.org/10.1109/case58245.2025.11163774","title":"A Deep Reinforcement Learning Control Framework for Medical Image Augmentation","display_name":"A Deep Reinforcement Learning Control Framework for Medical Image Augmentation","publication_year":2025,"publication_date":"2025-08-17","ids":{"openalex":"https://openalex.org/W4414431940","doi":"https://doi.org/10.1109/case58245.2025.11163774"},"language":"en","primary_location":{"id":"doi:10.1109/case58245.2025.11163774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case58245.2025.11163774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)","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/A5092537563","display_name":"Andrea Wrona","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Wrona","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088016953","display_name":"Federico Baldisseri","orcid":"https://orcid.org/0000-0003-0410-2592"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Baldisseri","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045634105","display_name":"Francesco Liberati","orcid":"https://orcid.org/0000-0001-9170-2304"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Liberati","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018146563","display_name":"Danilo Menegatti","orcid":"https://orcid.org/0000-0001-9090-0050"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Danilo Menegatti","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022725761","display_name":"Francesco Delli Priscoli","orcid":"https://orcid.org/0000-0001-6140-3661"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Delli Priscoli","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040398924","display_name":"Marilena Vendittelli","orcid":"https://orcid.org/0000-0002-5348-0525"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marilena Vendittelli","raw_affiliation_strings":["Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5092537563"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3426365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2915","last_page":"2920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8992999792098999,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8992999792098999,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8931999802589417,"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":0.8891000151634216,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6567000150680542},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5976999998092651},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.48100000619888306},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4546000063419342},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.43970000743865967},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4366999864578247},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41679999232292175},{"id":"https://openalex.org/keywords/random-noise","display_name":"Random noise","score":0.4059999883174896}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7437000274658203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098000049591064},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6567000150680542},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5976999998092651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5566999912261963},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.48100000619888306},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4546000063419342},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.43970000743865967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41679999232292175},{"id":"https://openalex.org/C2986577269","wikidata":"https://www.wikidata.org/wiki/Q11306265","display_name":"Random noise","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32010000944137573},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2969000041484833},{"id":"https://openalex.org/C199190896","wikidata":"https://www.wikidata.org/wiki/Q3509276","display_name":"Learning classifier system","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.26919999718666077},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2621999979019165}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/case58245.2025.11163774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case58245.2025.11163774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1748891","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1748891","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2782436336","https://openalex.org/W2788633781","https://openalex.org/W2954996726","https://openalex.org/W2992511782","https://openalex.org/W2998508940","https://openalex.org/W3015196706","https://openalex.org/W3015930014","https://openalex.org/W3024102649","https://openalex.org/W3046474724","https://openalex.org/W3096831136","https://openalex.org/W3128669835","https://openalex.org/W3171873561","https://openalex.org/W3174867786","https://openalex.org/W4283026748","https://openalex.org/W4317436377","https://openalex.org/W4385576061","https://openalex.org/W4386966438","https://openalex.org/W4400077175","https://openalex.org/W4400946513","https://openalex.org/W4402659691","https://openalex.org/W4408890169"],"related_works":[],"abstract_inverted_index":{"Data":[0],"augmentation":[1,68],"is":[2],"essential":[3],"for":[4,33,51],"handling":[5],"limited":[6],"and":[7,22,47],"unbalanced":[8],"medical":[9,53,59],"datasets":[10,60],"in":[11],"classification":[12,34,71],"tasks.":[13],"Traditional":[14],"methods,":[15],"such":[16],"as":[17],"noise":[18],"injection,":[19],"random":[20],"transformations,":[21],"generative":[23],"adversarial":[24],"networks":[25],"enhance":[26],"classifier":[27],"accuracy,":[28],"but":[29],"lack":[30],"intrinsic":[31],"optimization":[32],"metrics.":[35],"This":[36],"work":[37],"proposes":[38],"a":[39],"Deep":[40],"Reinforcement":[41],"Learning-based":[42],"framework":[43],"that":[44,62],"autonomously":[45],"selects":[46],"optimizes":[48],"geometric/color":[49],"transformations":[50],"multi-class":[52],"image":[54],"classification.":[55],"Experiments":[56],"on":[57,73],"three":[58],"show":[61],"the":[63],"proposed":[64],"approach":[65],"outperforms":[66],"state-of-the-art":[67],"techniques,":[69],"improving":[70],"accuracy":[72],"unseen":[74],"images":[75],"by":[76],"over":[77],"13%.":[78]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
