{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:12:59Z","timestamp":1747195979753,"version":"3.40.5"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,14]],"date-time":"2025-04-14T00:00:00Z","timestamp":1744588800000},"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":[[2025,4,14]]},"DOI":"10.1109\/isbi60581.2025.10980871","type":"proceedings-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T17:38:51Z","timestamp":1747071531000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["XAI-PSSGAN: Perception-Enhanced Spectrum Shift Generative Adversarial Network with Explainable AI System for NIR-II Fluorescence Molecular Imaging"],"prefix":"10.1109","author":[{"given":"Lidan","family":"Fu","sequence":"first","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China"}]},{"given":"Binchun","family":"Lu","sequence":"additional","affiliation":[{"name":"Tsinghua University,Department of Precision Instrument,Beijing,China"}]},{"given":"Lingbing","family":"Li","sequence":"additional","affiliation":[{"name":"Chinese PLA General Hospital,Interventional Radiology Department,Beijing,China"}]},{"given":"Xiaojing","family":"Shi","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China"}]},{"given":"Jie","family":"Tian","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China"}]},{"given":"Zhenhua","family":"Hu","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41571-024-00892-0"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-021-00773-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-019-0494-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s44222-022-00017-1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101552"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.244"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2023.102216"},{"key":"ref8","first-page":"8","article-title":"Explanation and justification in machine learning: A survey","author":"Biran","year":"2017","journal-title":"Proceedings of the International Joint Conferences on Artificial In-telligence workshop on explainable AI (XAI)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2021446118"},{"volume-title":"Deep inside convolutional networks: Visualising imageclassification models and saliency maps","year":"2013","author":"Simonyan","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"volume-title":"A unified approach to in-terpreting model predictions","year":"2017","author":"Lundberg","key":"ref12"},{"key":"ref13","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","author":"Heusel","year":"2017","journal-title":"Proceedings of Advances in Neural Information Processing Systems"},{"key":"ref14","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021","journal-title":"Proceedings of International Conference on Machine Learning"}],"event":{"name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2025,4,14]]},"location":"Houston, TX, USA","end":{"date-parts":[[2025,4,17]]}},"container-title":["2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10980665\/10980666\/10980871.pdf?arnumber=10980871","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T06:26:39Z","timestamp":1747117599000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10980871\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,14]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/isbi60581.2025.10980871","relation":{},"subject":[],"published":{"date-parts":[[2025,4,14]]}}}