{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T09:23:15Z","timestamp":1725700995791},"reference-count":44,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T00:00:00Z","timestamp":1699920000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T00:00:00Z","timestamp":1699920000000},"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":[[2023,11,14]]},"DOI":"10.1109\/dasc\/picom\/cbdcom\/cy59711.2023.10361320","type":"proceedings-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T19:38:38Z","timestamp":1703533118000},"page":"0428-0435","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Medical Report Generation via Latent Space Conditioning and Transformers"],"prefix":"10.1109","author":[{"given":"Carlo","family":"Adornetto","sequence":"first","affiliation":[{"name":"University of Calabria,Rende,Italy"}]},{"given":"Antonella","family":"Guzzo","sequence":"additional","affiliation":[{"name":"University of Calabria,Rende,Italy"}]},{"given":"Andrea","family":"Vasile","sequence":"additional","affiliation":[{"name":"University of Calabria,Rende,Italy"}]}],"member":"263","reference":[{"journal-title":"AI in Healthcare Market","article-title":"Alliedmarketresearch","year":"2021","key":"ref1"},{"journal-title":"OpenClinical","article-title":"Introduction to neural networks in healthcare","year":"2002","author":"Sordo","key":"ref2"},{"article-title":"Using deep learning to enhance cancer diagnosis and classification","volume-title":"A conference presentation The 30th International Conference on Machine Learning","year":"2013","author":"Fakoor","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21037\/tcr.2018.05.02"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.7861\/futurehosp.6-2-94"},{"journal-title":"Transformers in Medical Imaging: A Survey","year":"2022","author":"Fu","key":"ref6"},{"volume-title":"How Artificial Intelligence Can Make Healthcare Hu-man Again","year":"2019","author":"Medicine","key":"ref7"},{"journal-title":"Deep learning in generating radiology reports: a survey","year":"2022","author":"Mittal","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1240"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01750"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16443-9_59"},{"journal-title":"Towards a rigorous science of interpretable machine learning","year":"2017","author":"Kim","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3522747"},{"journal-title":"Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Re-port Generation","year":"2020","author":"Liang","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.imu.2021.100557"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_80"},{"journal-title":"Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report","year":"2023","author":"Chang","key":"ref17"},{"volume-title":"DeltaNet: Conditional Medical Report Generation for COVID-19 Diag-nosis","year":"2022","author":"Xiao","key":"ref18"},{"volume-title":"Clinically Accurate Chest X-Ray Report Generation","year":"2019","author":"Ghassemi","key":"ref19"},{"journal-title":"Radiology reports for the chest x-ray images from the Indiana University hospital network","author":"Indiana","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/992424.992434"},{"volume-title":"Balancing Reconstruction Error and KL Divergence in Variational Au-toencoders","year":"2020","author":"Trentin","key":"ref22"},{"journal-title":"Model Differently. Text generation with GPT-2","year":"2021","key":"ref23"},{"journal-title":"ROC and AUC with a Binary Predictor: a Potentially Misleading Metric. Muschelli, John. s.l.: Journal of classification","year":"2020","key":"ref24"},{"journal-title":"Attention Is All You Need","year":"2017","author":"Vaswani","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00322"},{"journal-title":"Looking for a Few Good Metrics: ROUGE and its evaluation","year":"2004","author":"Lin","key":"ref27"},{"volume-title":"Vectors with Subword Information","year":"2017","author":"Word","key":"ref28"},{"journal-title":"Efficient Estimation of Word Representations in Vector Space","year":"2013","author":"Dean","key":"ref29"},{"journal-title":"FFA-IR-Towards an Explainable and Reliable Medical Report Generation Benchmark","year":"2021","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947134"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_52"},{"journal-title":"Vispi: Automatic Visual Perception and Interpretation of Chest X-rays","year":"2019","author":"Li","key":"ref33"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA47822.2019.8945819"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00083"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-4015-8_15"},{"article-title":"Addressing Data Bias Problems for ChestnX-ray Image Report Generation","volume-title":"ArXiv abs\/l908.02123","year":"2019","author":"Harzig","key":"ref37"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-18590-9_64"},{"first-page":"125","volume-title":"Improved Disease Classification in Chest X-Rays with Transferred Features from Report Generation. In Information Processing in Medical Imaging","year":"2019","author":"Xue","key":"ref39"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6989"},{"journal-title":"Auto-Encoding Variational Bayes","year":"2022","author":"Kingma","key":"ref41"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.09.008"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101923"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.09.006"}],"event":{"name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC\/PiCom\/CBDCom\/CyberSciTech)","start":{"date-parts":[[2023,11,14]]},"location":"Abu Dhabi, United Arab Emirates","end":{"date-parts":[[2023,11,17]]}},"container-title":["2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC\/PiCom\/CBDCom\/CyberSciTech)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10361260\/10360496\/10361320.pdf?arnumber=10361320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T19:56:41Z","timestamp":1705089401000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10361320\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,14]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/dasc\/picom\/cbdcom\/cy59711.2023.10361320","relation":{},"subject":[],"published":{"date-parts":[[2023,11,14]]}}}