{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:58:07Z","timestamp":1775145487948,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T00:00:00Z","timestamp":1650326400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T00:00:00Z","timestamp":1650326400000},"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":[[2022,4,19]]},"DOI":"10.1109\/ipta54936.2022.9784146","type":"proceedings-article","created":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T19:43:24Z","timestamp":1654199004000},"page":"1-6","source":"Crossref","is-referenced-by-count":11,"title":["Explainability for Medical Image Captioning"],"prefix":"10.1109","author":[{"given":"Djamila","family":"Beddiar","sequence":"first","affiliation":[{"name":"University of Oulu,CMVS,Oulu,Finland"}]},{"given":"Mourad","family":"Oussalah","sequence":"additional","affiliation":[{"name":"University of Oulu,CMVS &#x0026; MIPT, Faculty of Medicine,Oulu,Finland"}]},{"given":"Seppanen","family":"Tapio","sequence":"additional","affiliation":[{"name":"University of Oulu,CMVS,Oulu,Finland"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task","author":"pelka","year":"2021","journal-title":"CLEF2021 Working Notes ser CEUR Workshop Proceedings"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-85251-1_23"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-018-1874-8"},{"key":"ref13","first-page":"673","article-title":"Reinforced trans-former for medical image captioning","volume":"11861","author":"xiong","year":"0","journal-title":"10th International Workshop on Machine Learning in Medical Imaging MLMI 2019 held in conjunction with the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"ref15","article-title":"Keyword gen-eration for biomedical image retrieval with recurrent neural networks","volume":"1866","author":"pelka","year":"0","journal-title":"18th Working Notes of CLEF Conference and Labs of the Evaluation Forum CLEF 2017"},{"key":"ref16","article-title":"Kdelab at imageclef 2021: Medical caption prediction with effective data pre-processing and deep learning","author":"tsuneda","year":"2021","journal-title":"CLEF2021 Working Notes CEUR Workshop Proceedings CEUR-WS org"},{"key":"ref17","first-page":"457","article-title":"Multimodal recurrent model with attention for automated radiology report generation","author":"xue","year":"0","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref18","article-title":"Neural captioning for the imageclef 2017 medical image challenges","volume":"1866","author":"lyndon","year":"0","journal-title":"18th Working Notes of CLEF Conference and Labs of the Evaluation Forum CLEF 2017"},{"key":"ref19","article-title":"Addressing data bias problems for chest x-ray image report generation","author":"harzig","year":"0","journal-title":"30th British Machine Vision Conference BMVC 2019"},{"key":"ref28","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref4","article-title":"On the automatic generation of medical imaging reports","author":"jing","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref27","article-title":"Understanding image captioning models beyond visualizing attention","author":"sun","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-11276-2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947134"},{"key":"ref29","article-title":"Imagesem group at imageclefmed caption 2021 task: exploring the clinical significance of the textual descriptions derived from medical images","author":"wang","year":"2021","journal-title":"CLEF2021 Working Notes CEUR Workshop Proceedings CEUR-WS org"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.387"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_52"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105700"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107856"},{"key":"ref9","first-page":"1160","article-title":"Attention-based CNN-GRU model for automatic medical images captioning: ImageCLEF 2021","author":"beddiar","year":"0","journal-title":"Working Notes of CLEF - Conference and Labs of the Evaluation Forum CLEF-WN 2021"},{"key":"ref1","article-title":"From show to tell: A survey on image captioning","author":"stefanini","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref20","first-page":"462","article-title":"From chest x-rays to radiology reports: A mul-timodal machine learning approach","author":"singh","year":"2019","journal-title":"2019 Digital Image Computing Techniques and Applications (DICTA)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref21","article-title":"How ai detectives are craking open the black box of deep learning","author":"voosen","year":"2017","journal-title":"Science"},{"key":"ref24","article-title":"Generating contrastive explanations with monotonic attribute functions","author":"luss","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref23","article-title":"Beyond word importance: Contex-tual decomposition to extract interactions from lstms","author":"murdoch","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s13218-020-00679-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCIS51004.2021.9397159"}],"event":{"name":"2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","location":"Salzburg, Austria","start":{"date-parts":[[2022,4,19]]},"end":{"date-parts":[[2022,4,22]]}},"container-title":["2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9784103\/9784113\/09784146.pdf?arnumber=9784146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T21:07:37Z","timestamp":1656364057000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9784146\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,19]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ipta54936.2022.9784146","relation":{},"subject":[],"published":{"date-parts":[[2022,4,19]]}}}