{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:11:56Z","timestamp":1776885116089,"version":"3.51.2"},"reference-count":27,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1016\/j.mri.2024.07.009","type":"journal-article","created":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T21:00:02Z","timestamp":1721422802000},"page":"110210","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"special_numbering":"C","title":["A multi-task generative model for simultaneous post-contrast MR image synthesis and brainstem glioma segmentation"],"prefix":"10.1016","volume":"113","author":[{"given":"Yajing","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanxin","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyu","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaou","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.mri.2024.07.009_bb0005","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/S1130-1473(04)70502-3","article-title":"Brainstem gliomas","volume":"15","author":"Sousa","year":"2004","journal-title":"Neurocirugia (Astur)"},{"issue":"1","key":"10.1016\/j.mri.2024.07.009_bb0010","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1177\/1971400917743099","article-title":"Brainstem glioma: prediction of histopathologic grade based on conventional MR imaging","volume":"31","author":"Moharamzad","year":"2018","journal-title":"Neuroradiol J"},{"issue":"2","key":"10.1016\/j.mri.2024.07.009_bb0015","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1053\/j.sult.2013.01.001","article-title":"Brainstem gliomas","volume":"34","author":"Ramos","year":"2013","journal-title":"Semin Ultrasound CT MR"},{"issue":"1","key":"10.1016\/j.mri.2024.07.009_bb0020","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.jaad.2006.10.048","article-title":"Gadolinium deposition in nephrogenic fibrosing dermopathy","volume":"56","author":"Boyd","year":"2007","journal-title":"J Am Acad Dermatol"},{"key":"10.1016\/j.mri.2024.07.009_bb0025","series-title":"Gadolinium-based contrast agents: A comprehensive risk assessment","volume":"46","author":"Fraum","year":"2017"},{"issue":"2","key":"10.1016\/j.mri.2024.07.009_bb0030","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1002\/jmri.25970","article-title":"Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI","volume":"48","author":"Gong","year":"2018","journal-title":"J Magn Reson Imaging"},{"key":"10.1016\/j.mri.2024.07.009_bb0035","series-title":"Synthesizing MR image contrast enhancement using 3D high-resolution ConvNets","author":"Chen","year":"2021"},{"key":"10.1016\/j.mri.2024.07.009_bb0040","series-title":"Image-to-Image Translation with Conditional Adversarial Networks","first-page":"2017","author":"Isola","year":"2017"},{"key":"10.1016\/j.mri.2024.07.009_bb0045","first-page":"8798","author":"Wang","year":"2017","journal-title":"High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs"},{"key":"10.1016\/j.mri.2024.07.009_bb0050","series-title":"Computer vision and pattern recognition","article-title":"Unpaired image-to-image translation using cycle-consistent adversarial networks","author":"Zhu","year":"2017"},{"issue":"9","key":"10.1016\/j.mri.2024.07.009_bb0055","doi-asserted-by":"crossref","first-page":"1943","DOI":"10.1109\/TBME.2018.2845706","article-title":"A cascaded deep convolutional neural network for joint segmentation and genotype prediction of brainstem gliomas","volume":"65","author":"Liu","year":"2018","journal-title":"IEEE Trans Biomed Eng"},{"key":"10.1016\/j.mri.2024.07.009_bb0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.120836","article-title":"Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation","volume":"232","author":"Lyu","year":"2023","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.mri.2024.07.009_bb0065","doi-asserted-by":"crossref","first-page":"3555","DOI":"10.1109\/TIP.2021.3062726","article-title":"Multi-task deep learning for image segmentation using recursive approximation tasks","volume":"30","author":"Ke","year":"2021","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"10.1016\/j.mri.2024.07.009_bb0070","first-page":"523","volume":"228","author":"Warmuth","year":"2003","journal-title":"Quantification of blood flow in brain tumors: comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging"},{"issue":"1","key":"10.1016\/j.mri.2024.07.009_bb0075","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1109\/TMI.2009.2035616","article-title":"Elastix: a toolbox for intensity-based medical image registration","volume":"29","author":"Klein","year":"2010","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"10.1016\/j.mri.2024.07.009_bb0080","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-019-0197-0","article-title":"A survey on image data augmentation for deep learning","volume":"6","author":"Shorten","year":"2019","journal-title":"Journal of Big Data"},{"key":"10.1016\/j.mri.2024.07.009_bb0085","series-title":"The Effectiveness of Data Augmentation in Image Classification using Deep Learning","author":"Perez","year":"2017"},{"key":"10.1016\/j.mri.2024.07.009_bb0090","series-title":"Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification","author":"He","year":"2015"},{"key":"10.1016\/j.mri.2024.07.009_bb0095","first-page":"193","volume":"11","author":"Pisano","year":"1998","journal-title":"Contrast Limited Adaptive Histogram Equalization image processing to improve the detection of simulated spiculations in dense mammograms"},{"key":"10.1016\/j.mri.2024.07.009_bb0100","series-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","author":"Simonyan","year":"2014"},{"key":"10.1016\/j.mri.2024.07.009_bb0105","series-title":"Adam: A Method for Stochastic Optimization","author":"Kingma","year":"2014"},{"key":"10.1016\/j.mri.2024.07.009_bb0110","series-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","author":"Ronneberger","year":"2015"},{"issue":"2","key":"10.1016\/j.mri.2024.07.009_bb0115","first-page":"57","article-title":"Infrared and visible images fusion method based on discrete wavelet transform","volume":"28","author":"Zhan","year":"2017","journal-title":"Journal of Computers (Taiwan)"},{"issue":"3\u20134","key":"10.1016\/j.mri.2024.07.009_bb0120","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1093\/biomet\/52.3-4.591","article-title":"An analysis of variance test for normality (complete samples)","volume":"52","author":"Shapiro","year":"1965","journal-title":"Biometrika"},{"issue":"260","key":"10.1016\/j.mri.2024.07.009_bb0125","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1080\/01621459.1952.10483441","article-title":"Use of ranks in one-criterion variance analysis","volume":"47","author":"Kruskal","year":"1952","journal-title":"Journal of the American Statistical Association"},{"key":"10.1016\/j.mri.2024.07.009_bb0130","series-title":"Mann-whitney u test","author":"Mann","year":"1947"},{"issue":"10","key":"10.1016\/j.mri.2024.07.009_bb0135","first-page":"1989","volume":"24","author":"Law","year":"2003","journal-title":"Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging"}],"container-title":["Magnetic Resonance Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X24001863?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X24001863?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T19:59:53Z","timestamp":1725911993000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0730725X24001863"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":27,"alternative-id":["S0730725X24001863"],"URL":"https:\/\/doi.org\/10.1016\/j.mri.2024.07.009","relation":{},"ISSN":["0730-725X"],"issn-type":[{"value":"0730-725X","type":"print"}],"subject":[],"published":{"date-parts":[[2024,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A multi-task generative model for simultaneous post-contrast MR image synthesis and brainstem glioma segmentation","name":"articletitle","label":"Article Title"},{"value":"Magnetic Resonance Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mri.2024.07.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110210"}}