{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T05:24:28Z","timestamp":1777440268072,"version":"3.51.4"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T00:00:00Z","timestamp":1718323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T00:00:00Z","timestamp":1718323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100004712","name":"Interface","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004712","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,14]]},"DOI":"10.1109\/civemsa58715.2024.10586647","type":"proceedings-article","created":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T17:22:53Z","timestamp":1720632173000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["MindLDM: Reconstruct Visual Stimuli from fMRI Using Latent Diffusion Model"],"prefix":"10.1109","author":[{"given":"Junhao","family":"Guo","sequence":"first","affiliation":[{"name":"Chongging University of Posts and Telecommunications,College of Computer Science and Technology,Chongqing,China"}]},{"given":"Chanlin","family":"Yi","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China,School of Life Science and Technolog,Chengdu,China"}]},{"given":"Fali","family":"Li","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China,School of Life Science and Technolog,Chengdu,China"}]},{"given":"Peng","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China,School of Life Science and Technolog,Chengdu,China"}]},{"given":"Yin","family":"Tian","sequence":"additional","affiliation":[{"name":"Chongging University of Posts and Telecommunications,School of Bioinformatic,Chongqing,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1523\/jneurosci.5023-14.2015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature06713"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhx268"},{"key":"ref4","article-title":"Mind Reader: Reconstructing complex images from brain activities","author":"Lin","year":"2022"},{"key":"ref5","first-page":"13038","article-title":"Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN","volume":"33","author":"Fang","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006633"},{"key":"ref7","article-title":"Learning Transferable Visual Models From Natural Language Supervision","author":"Radford","year":"2021"},{"key":"ref8","article-title":"Denoising diffusion probabilistic models","author":"Ho","year":"2020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.01389"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-019-0052-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms15037"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01553"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00943"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.02175"},{"key":"ref15","article-title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","author":"Sohl-Dickstein","year":"2015"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref17","article-title":"Diffusion models beat GANs on image synthesis","author":"Dhariwal","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref19","article-title":"Denoising diffusion implicit models","author":"Song","year":"2020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01268"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00355"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00393"},{"key":"ref24","article-title":"Very deep VAEs generalize autoregressive models and can outperform them on images","author":"Child","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-42891-8"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.041"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41593-021-00962-x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1107\/978-3-319-10602-1_48"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.308"},{"key":"ref32","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019"},{"key":"ref33","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume-title":"HAL (Le Centre Pour La Communication Scientifique Directe)","author":"Caron","year":"2020"},{"key":"ref34","article-title":"Decoding natural image stimuli from fMRI data with a surface-based convolutional network","author":"Gu","year":"2022"}],"event":{"name":"2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","location":"Xi\u2019an, China","start":{"date-parts":[[2024,6,14]]},"end":{"date-parts":[[2024,6,16]]}},"container-title":["2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10586233\/10586443\/10586647.pdf?arnumber=10586647","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T05:03:25Z","timestamp":1721279005000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10586647\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,14]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/civemsa58715.2024.10586647","relation":{},"subject":[],"published":{"date-parts":[[2024,6,14]]}}}