{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T04:44:14Z","timestamp":1784263454041,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T00:00:00Z","timestamp":1686528000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Science Foundation of Hunan Province of China","award":["2022JJ30552, 2022JJ30571"],"award-info":[{"award-number":["2022JJ30552, 2022JJ30571"]}]},{"name":"Open Project of Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, Xiangnan University","award":["YXZN2022003"],"award-info":[{"award-number":["YXZN2022003"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272404, 61972333"],"award-info":[{"award-number":["62272404, 61972333"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research Foundation of Education Department of Hunan Province of China","award":["21A0109, 21B0172"],"award-info":[{"award-number":["21A0109, 21B0172"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,12]]},"DOI":"10.1145\/3591106.3592213","type":"proceedings-article","created":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T22:33:38Z","timestamp":1686263618000},"page":"370-377","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["SPAE: Spatial Preservation-based Autoencoder for ADHD functional brain networks modelling"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3812-6536","authenticated-orcid":false,"given":"Chunhong","family":"Cao","sequence":"first","affiliation":[{"name":"Xiangtan University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3439-4813","authenticated-orcid":false,"given":"Gai","family":"Li","sequence":"additional","affiliation":[{"name":"Xiangtan University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8620-2062","authenticated-orcid":false,"given":"Huawei","family":"Fu","sequence":"additional","affiliation":[{"name":"Xiangtan University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1665-4244","authenticated-orcid":false,"given":"Xingxing","family":"Li","sequence":"additional","affiliation":[{"name":"Xiangtan University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7764-3616","authenticated-orcid":false,"given":"Xieping","family":"Gao","sequence":"additional","affiliation":[{"name":"Hunan Normal University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,6,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Machine learning for neuroimaging with scikit-learn. Frontiers in neuroinformatics","author":"Abraham Alexandre","year":"2014","unstructured":"Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, and Ga\u00ebl Varoquaux. 2014. Machine learning for neuroimaging with scikit-learn. Frontiers in neuroinformatics (2014), 14."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2005.1634"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1053-8119(03)00435-X"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.06.034"},{"key":"e_1_3_2_1_5_1","volume-title":"Longformer: The long-document transformer. arXiv preprint arXiv:2004.05150","author":"Beltagy Iz","year":"2020","unstructured":"Iz Beltagy, Matthew\u00a0E Peters, and Arman Cohan. 2020. Longformer: The long-document transformer. arXiv preprint arXiv:2004.05150 (2020)."},{"key":"e_1_3_2_1_6_1","unstructured":"National\u00a0Research Council 2009. Preventing mental emotional and behavioral disorders among young people: Progress and possibilities."},{"key":"e_1_3_2_1_7_1","volume-title":"Attributed graph distance measure for automatic detection of attention deficit hyperactive disordered subjects. Frontiers in neural circuits 8","author":"Dey Soumyabrata","year":"2014","unstructured":"Soumyabrata Dey, A\u00a0Ravishankar Rao, and Mubarak Shah. 2014. Attributed graph distance measure for automatic detection of attention deficit hyperactive disordered subjects. Frontiers in neural circuits 8 (2014), 64."},{"key":"e_1_3_2_1_8_1","volume-title":"Modeling hierarchical brain networks via volumetric sparse deep belief network","author":"Dong Qinglin","year":"2019","unstructured":"Qinglin Dong, Fangfei Ge, Qiang Ning, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, and Tianming Liu. 2019. Modeling hierarchical brain networks via volumetric sparse deep belief network. IEEE transactions on biomedical engineering 67, 6 (2019), 1739\u20131748."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59728-3_50"},{"key":"e_1_3_2_1_10_1","volume-title":"Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850","author":"Graves Alex","year":"2013","unstructured":"Alex Graves. 2013. Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850 (2013)."},{"key":"e_1_3_2_1_11_1","volume-title":"padding and predictions: A deeper look at position information in cnns. arXiv preprint arXiv:2101.12322","author":"Islam Md\u00a0Amirul","year":"2021","unstructured":"Md\u00a0Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos\u00a0G Derpanis, and Neil\u00a0DB Bruce. 2021. Position, padding and predictions: A deeper look at position information in cnns. arXiv preprint arXiv:2101.12322 (2021)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.08.044"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_45"},{"key":"e_1_3_2_1_14_1","volume-title":"Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention. arXiv preprint arXiv:2205.09576","author":"Liu Yiheng","year":"2022","unstructured":"Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, and Bao Ge. 2022. Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention. arXiv preprint arXiv:2205.09576 (2022)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00320"},{"key":"e_1_3_2_1_16_1","volume-title":"Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical image analysis 20, 1","author":"Lv Jinglei","year":"2015","unstructured":"Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, 2015. Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical image analysis 20, 1 (2015), 112\u2013134."},{"key":"e_1_3_2_1_17_1","volume-title":"An introduction to autoencoders. arXiv preprint arXiv:2201.03898","author":"Michelucci Umberto","year":"2022","unstructured":"Umberto Michelucci. 2022. An introduction to autoencoders. arXiv preprint arXiv:2201.03898 (2022)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00318"},{"key":"e_1_3_2_1_19_1","volume-title":"How can CNNs use image position for segmentation?arXiv preprint arXiv:2005.03463","author":"Murase Rito","year":"2020","unstructured":"Rito Murase, Masanori Suganuma, and Takayuki Okatani. 2020. How can CNNs use image position for segmentation?arXiv preprint arXiv:2005.03463 (2020)."},{"key":"e_1_3_2_1_20_1","volume-title":"Executive functions and methylphenidate response in subtypes of attention-deficit\/hyperactivity disorder. Biological psychiatry 57, 11","author":"O\u2019Driscoll A","year":"2005","unstructured":"Gillian\u00a0A O\u2019Driscoll, Lana D\u00e9patie, Anne-Lise\u00a0V Holahan, Tal Savion-Lemieux, Ronald\u00a0G Barr, Claude Jolicoeur, and Virginia\u00a0I Douglas. 2005. Executive functions and methylphenidate response in subtypes of attention-deficit\/hyperactivity disorder. Biological psychiatry 57, 11 (2005), 1452\u20131460."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06868-w"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2022.106979"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2017.10.002"},{"key":"e_1_3_2_1_24_1","volume-title":"Abnormal functional resting-state networks in ADHD: graph theory and pattern recognition analysis of fMRI data. BioMed Research International","author":"Santos Siqueira Anderson","year":"2014","unstructured":"Anderson dos\u00a0Santos Siqueira, Claudinei\u00a0Eduardo Biazoli\u00a0Junior, William\u00a0Edgar Comfort, Luis\u00a0Augusto Rohde, Joao\u00a0Ricardo Sato, 2014. Abnormal functional resting-state networks in ADHD: graph theory and pattern recognition analysis of fMRI data. BioMed Research International (2014)."},{"key":"e_1_3_2_1_25_1","volume-title":"Roformer: Enhanced transformer with rotary position embedding. arXiv preprint arXiv:2104.09864","author":"Su Jianlin","year":"2021","unstructured":"Jianlin Su, Yu Lu, Shengfeng Pan, Ahmed Murtadha, Bo Wen, and Yunfeng Liu. 2021. Roformer: Enhanced transformer with rotary position embedding. arXiv preprint arXiv:2104.09864 (2021)."},{"key":"e_1_3_2_1_26_1","volume-title":"Exploring the brain network: a review on resting-state fMRI functional connectivity. European neuropsychopharmacology 20, 8","author":"Den\u00a0Heuvel P Van","year":"2010","unstructured":"Martijn\u00a0P Van Den\u00a0Heuvel and Hilleke E\u00a0Hulshoff Pol. 2010. Exploring the brain network: a review on resting-state fMRI functional connectivity. European neuropsychopharmacology 20, 8 (2010), 519\u2013534."},{"key":"e_1_3_2_1_27_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_28_1","volume-title":"Recognizing brain states using deep sparse recurrent neural network","author":"Wang Han","year":"2018","unstructured":"Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, and Tianming Liu. 2018. Recognizing brain states using deep sparse recurrent neural network. IEEE transactions on medical imaging 38, 4 (2018), 1058\u20131068."},{"key":"e_1_3_2_1_29_1","volume-title":"Harbin","author":"Zhang Chen-Lin","year":"2018","unstructured":"Chen-Lin Zhang, Jian-Hao Luo, Xiu-Shen Wei, and Jianxin Wu. 2018. In defense of fully connected layers in visual representation transfer. In Advances in Multimedia Information Processing\u2013PCM 2017: 18th Pacific-Rim Conference on Multimedia, Harbin, China, September 28-29, 2017, Revised Selected Papers, Part II 18. Springer, 807\u2013817."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00931-1_21"}],"event":{"name":"ICMR '23: International Conference on Multimedia Retrieval","location":"Thessaloniki Greece","acronym":"ICMR '23","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 2023 ACM International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3591106.3592213","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3591106.3592213","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:22Z","timestamp":1750182682000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3591106.3592213"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,12]]},"references-count":30,"alternative-id":["10.1145\/3591106.3592213","10.1145\/3591106"],"URL":"https:\/\/doi.org\/10.1145\/3591106.3592213","relation":{},"subject":[],"published":{"date-parts":[[2023,6,12]]},"assertion":[{"value":"2023-06-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}