{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:06:19Z","timestamp":1730199979346,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T00:00:00Z","timestamp":1639008000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019370","name":"Foundation for Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019370","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,9]]},"DOI":"10.1109\/bibm52615.2021.9669859","type":"proceedings-article","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T20:40:30Z","timestamp":1642192830000},"page":"1791-1798","source":"Crossref","is-referenced-by-count":1,"title":["Chest Radiography Few-Shot Image Synthesis for Automated Pathology Screening Applications"],"prefix":"10.1109","author":[{"given":"Martim Quintas","family":"E Sousa","sequence":"first","affiliation":[]},{"given":"Joao","family":"Pedrosa","sequence":"additional","affiliation":[]},{"given":"Joana","family":"Rocha","sequence":"additional","affiliation":[]},{"given":"Sofia Cardoso","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Ana Maria","family":"Mendonca","sequence":"additional","affiliation":[]},{"given":"Aurelio","family":"Campilho","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/12.2550868"},{"journal-title":"2012 arXiv preprint arXiv","article-title":"VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations","year":"2020","author":"nguyen","key":"ref11"},{"journal-title":"In International Conference on Learning Representations","article-title":"Towards faster and stabilized GAN training for high-fidelity few-shot image synthesis","year":"2020","author":"liu","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"journal-title":"arXiv preprint arXiv 2010 00170","article-title":"Global self-attention networks for image recognition","year":"2020","author":"shen","key":"ref14"},{"key":"ref15","first-page":"13","article-title":"Deep and hierarchical implicit models","volume":"7","author":"tran","year":"2017","journal-title":"arXiv preprint arXiv 1702 08502"},{"journal-title":"arXiv preprint arXiv 1704 00028","article-title":"Improved training of Wasserstein GANs","year":"2017","author":"gulrajani","key":"ref16"},{"key":"ref17","article-title":"GANs trained by a two time-scale update rule converge to a local Nash equilibrium","volume":"30","author":"heusel","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref18","first-page":"2234","article-title":"Improved techniques for training GANs","volume":"29","author":"salimans","year":"2016","journal-title":"Advances in neural information processing systems"},{"journal-title":"arXiv preprint arXiv 1801 01000","article-title":"Demystifying MMD GANs","year":"2018","author":"bi?kowski","key":"ref19"},{"key":"ref4","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"journal-title":"medRxiv","article-title":"AI for radiographic COVID-19 detection selects shortcuts over signal","year":"2020","author":"degrave","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461430"},{"journal-title":"arXiv preprint arXiv 1511 06434","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","year":"2015","author":"radford","key":"ref5"},{"key":"ref8","first-page":"105741m","article-title":"Chest x-ray generation and data augmentation for cardiovascular abnormality classification","volume":"10574","author":"madani","year":"2018","journal-title":"Medical Imaging 2018 Image Processing"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/fi13010008"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301590"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2994762"},{"journal-title":"arXiv preprint arXiv 1704 04861","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","year":"2017","author":"howard","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"article-title":"Ultralytics\/YOLOv5","year":"2021","author":"jocher","key":"ref21"},{"journal-title":"arXiv preprint arXiv 1710 10196","article-title":"Progressive growing of GANs for improved quality, stability, and variation","year":"2017","author":"karras","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00925"}],"event":{"name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2021,12,9]]},"location":"Houston, TX, USA","end":{"date-parts":[[2021,12,12]]}},"container-title":["2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9669261\/9669139\/09669859.pdf?arnumber=9669859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:20Z","timestamp":1652201840000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669859\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,9]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/bibm52615.2021.9669859","relation":{},"subject":[],"published":{"date-parts":[[2021,12,9]]}}}
