{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:58:01Z","timestamp":1759334281381,"version":"build-2065373602"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,8,17]],"date-time":"2025-08-17T00:00:00Z","timestamp":1755388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,17]],"date-time":"2025-08-17T00:00:00Z","timestamp":1755388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,17]]},"DOI":"10.1109\/case58245.2025.11163774","type":"proceedings-article","created":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T17:24:07Z","timestamp":1758648247000},"page":"2915-2920","source":"Crossref","is-referenced-by-count":0,"title":["A Deep Reinforcement Learning Control Framework for Medical Image Augmentation"],"prefix":"10.1109","author":[{"given":"Andrea","family":"Wrona","sequence":"first","affiliation":[{"name":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federico","family":"Baldisseri","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Liberati","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danilo","family":"Menegatti","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco Delli","family":"Priscoli","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marilena","family":"Vendittelli","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome,Department of Computer, Control and Management Engineering \"Antonio Ruberti\",Rome,Italy,00185"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare11182603"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics12061489"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2021.102607"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-42750-4_6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2020.108885"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2019.00083"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00204"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CAC.2017.8243510"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare11152199"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3726875"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.bonr.2024.101801"},{"volume-title":"Deep learning","year":"2016","author":"Goodfellow","key":"ref15"},{"volume-title":"Reinforcement learning: An introduction","year":"2018","author":"Sutton","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.23919\/ECC64448.2024.10591007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MED61351.2024.10566186"},{"article-title":"Proximal policy optimization algorithms","year":"2017","author":"Schulman","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1111\/1754-9485.13261"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01721-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2020.105474"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.02.010"},{"article-title":"Autoaugment: Learning augmentation policies from data","year":"2018","author":"Cubuk","key":"ref24"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053403"}],"event":{"name":"2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)","start":{"date-parts":[[2025,8,17]]},"location":"Los Angeles, CA, USA","end":{"date-parts":[[2025,8,21]]}},"container-title":["2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11163731\/11163732\/11163774.pdf?arnumber=11163774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T15:19:59Z","timestamp":1759245599000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11163774\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,17]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/case58245.2025.11163774","relation":{},"subject":[],"published":{"date-parts":[[2025,8,17]]}}}