{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T21:03:48Z","timestamp":1783717428315,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China (NSFC)","award":["61922075"],"award-info":[{"award-number":["61922075"]}]},{"name":"the USTC Research Funds of the Double First-Class Initiative","award":["YD2100002004 and KY2100000123"],"award-info":[{"award-number":["YD2100002004 and KY2100000123"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3548068","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:42:46Z","timestamp":1665416566000},"page":"3974-3982","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":26,"title":["Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction"],"prefix":"10.1145","author":[{"given":"Gang","family":"Yang","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Man","family":"Zhou","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aiping","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China & Institute of Advanced Technology, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xun","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China & Institute of Advanced Technology, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiwei","family":"Xiong","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China; Institute of Advanced Technology; & Hefei Comprehensive National Science Center, Anhui, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Wu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China; Institute of Advanced Technology; & Hefei Comprehensive National Science Center, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2047910"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6420\/ab460a"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Stephen Boyd Neal Parikh Eric Chu Borja Peleato Jonathan Eckstein etal 2011. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends\u00ae in Machine learning 3 1 (2011) 1--122.  Stephen Boyd Neal Parikh Eric Chu Borja Peleato Jonathan Eckstein et al. 2011. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends\u00ae in Machine learning 3 1 (2011) 1--122.","DOI":"10.1561\/2200000016"},{"key":"e_1_3_2_2_4_1","volume-title":"MRI: basic principles and applications","author":"Brown Mark A","unstructured":"Mark A Brown and Richard C Semelka . 2011. MRI: basic principles and applications . John Wiley & Sons . Mark A Brown and Richard C Semelka. 2011. MRI: basic principles and applications. John Wiley & Sons."},{"key":"e_1_3_2_2_5_1","volume-title":"Garry E Gold, and Brian A Hargreaves.","author":"Chaudhari Akshay S","year":"2018","unstructured":"Akshay S Chaudhari , Zhongnan Fang , Feliks Kogan , JeffWood, Kathryn J Stevens , Eric K Gibbons , Jin Hyung Lee , Garry E Gold, and Brian A Hargreaves. 2018 . Super-resolution musculoskeletal MRI using deep learning. Magnetic resonance in medicine 80, 5 (2018), 2139--2154. Akshay S Chaudhari, Zhongnan Fang, Feliks Kogan, JeffWood, Kathryn J Stevens, Eric K Gibbons, Jin Hyung Lee, Garry E Gold, and Brian A Hargreaves. 2018. Super-resolution musculoskeletal MRI using deep learning. Magnetic resonance in medicine 80, 5 (2018), 2139--2154."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_1"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363679"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2944270"},{"key":"e_1_3_2_2_9_1","volume-title":"Density estimation using real nvp. arXiv preprint arXiv:1605.08803","author":"Dinh Laurent","year":"2016","unstructured":"Laurent Dinh , Jascha Sohl-Dickstein , and Samy Bengio . 2016. Density estimation using real nvp. arXiv preprint arXiv:1605.08803 ( 2016 ). Laurent Dinh, Jascha Sohl-Dickstein, and Samy Bengio. 2016. Density estimation using real nvp. arXiv preprint arXiv:1605.08803 (2016)."},{"key":"e_1_3_2_2_10_1","volume-title":"Denoising prior driven deep neural network for image restoration","author":"Dong Weisheng","year":"2018","unstructured":"Weisheng Dong , Peiyao Wang , Wotao Yin , Guangming Shi , Fangfang Wu , and Xiaotong Lu. 2018. Denoising prior driven deep neural network for image restoration . IEEE transactions on pattern analysis and machine intelligence 41, 10 ( 2018 ), 2305--2318. Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, and Xiaotong Lu. 2018. Denoising prior driven deep neural network for image restoration. IEEE transactions on pattern analysis and machine intelligence 41, 10 (2018), 2305--2318."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87231-1_14"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87231-1_14"},{"key":"e_1_3_2_2_13_1","volume-title":"Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).","author":"Feng Chun-Mei","year":"2021","unstructured":"Chun-Mei Feng , Yunlu Yan , Huazhu Fu , Li Chen , and Yong Xu . 2021 . Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, and Yong Xu. 2021. Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)."},{"key":"e_1_3_2_2_14_1","volume-title":"Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. arXiv preprint arXiv:2109.01664","author":"Feng Chun-Mei","year":"2021","unstructured":"Chun-Mei Feng , Yunlu Yan , Chengliang Liu , Huazhu Fu , Yong Xu , and Ling Shao . 2021. Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. arXiv preprint arXiv:2109.01664 ( 2021 ). Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, and Ling Shao. 2021. Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. arXiv preprint arXiv:2109.01664 (2021)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104374"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Yuankai Huo Zhoubing Xu Shunxing Bao Camilo Bermudez Hyeonsoo Moon Prasanna Parvathaneni Tamara K Moyo Michael R Savona Albert Assad Richard G Abramson etal 2018. Splenomegaly segmentation on multi-modal MRI using deep convolutional networks. IEEE transactions on medical imaging 38 5 (2018) 1185--1196.  Yuankai Huo Zhoubing Xu Shunxing Bao Camilo Bermudez Hyeonsoo Moon Prasanna Parvathaneni Tamara K Moyo Michael R Savona Albert Assad Richard G Abramson et al. 2018. Splenomegaly segmentation on multi-modal MRI using deep convolutional networks. IEEE transactions on medical imaging 38 5 (2018) 1185--1196.","DOI":"10.1109\/TMI.2018.2881110"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2329271"},{"key":"e_1_3_2_2_19_1","volume-title":"Improved variational inference with inverse autoregressive flow. Advances in neural information processing systems 29","author":"Kingma Durk P","year":"2016","unstructured":"Durk P Kingma , Tim Salimans , Rafal Jozefowicz , Xi Chen , Ilya Sutskever , and Max Welling . 2016. Improved variational inference with inverse autoregressive flow. Advances in neural information processing systems 29 ( 2016 ), 4743--4751. Durk P Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, and Max Welling. 2016. Improved variational inference with inverse autoregressive flow. Advances in neural information processing systems 29 (2016), 4743--4751."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_19"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2012.07.004"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01067"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.03.065"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2974858"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/56\/22\/018"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1155\/2010\/425891"},{"key":"e_1_3_2_2_28_1","volume-title":"Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment","author":"McDonagh Steven","unstructured":"Steven McDonagh , Benjamin Hou , Amir Alansary , Ozan Oktay , Konstantinos Kamnitsas , Mary Rutherford , Jo V Hajnal , and Bernhard Kainz . 2017. Contextsensitive super-resolution for fast fetal magnetic resonance imaging . In Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment . Springer , 116--126. Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary Rutherford, Jo V Hajnal, and Bernhard Kainz. 2017. Contextsensitive super-resolution for fast fetal magnetic resonance imaging. In Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment. Springer, 116--126."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.3037516"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950500"},{"key":"e_1_3_2_2_31_1","volume-title":"Monique Bernsen, Gyula Kotek, Gavin Houston, Piotr Wielopolski, Louise van der Weerd, Wiro J Niessen, and Erik Meijering.","author":"Plenge Esben","year":"2012","unstructured":"Esben Plenge , Dirk HJ Poot , Monique Bernsen, Gyula Kotek, Gavin Houston, Piotr Wielopolski, Louise van der Weerd, Wiro J Niessen, and Erik Meijering. 2012 . Super-resolution methods in MRI: can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time? Magnetic resonance in medicine 68, 6 (2012), 1983--1993. Esben Plenge, Dirk HJ Poot, Monique Bernsen, Gyula Kotek, Gavin Houston, Piotr Wielopolski, Louise van der Weerd, Wiro J Niessen, and Erik Meijering. 2012. Super-resolution methods in MRI: can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time? Magnetic resonance in medicine 68, 6 (2012), 1983--1993."},{"key":"e_1_3_2_2_32_1","volume-title":"Alzheimer's Disease Neuroimaging Initiative, et al","author":"Rousseau Fran\u00e7ois","year":"2010","unstructured":"Fran\u00e7ois Rousseau , Alzheimer's Disease Neuroimaging Initiative, et al . 2010 . A non-local approach for image super-resolution using intermodality priors. Medical image analysis 14, 4 (2010), 594--605. Fran\u00e7ois Rousseau, Alzheimer's Disease Neuroimaging Initiative, et al. 2010. A non-local approach for image super-resolution using intermodality priors. Medical image analysis 14, 4 (2010), 594--605."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475562"},{"key":"e_1_3_2_2_34_1","unstructured":"Jian Sun Huibin Li Zongben Xu etal 2016. Deep ADMM-Net for compressive sensing MRI. Advances in neural information processing systems 29 (2016).  Jian Sun Huibin Li Zongben Xu et al. 2016. Deep ADMM-Net for compressive sensing MRI. Advances in neural information processing systems 29 (2016)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952977"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428249"},{"key":"e_1_3_2_2_37_1","volume-title":"Simultaneous single-and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in biology and medicine 99","author":"Zeng Kun","year":"2018","unstructured":"Kun Zeng , Hong Zheng , Congbo Cai , Yu Yang , Kaihua Zhang , and Zhong Chen . 2018. Simultaneous single-and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in biology and medicine 99 ( 2018 ), 133--141. Kun Zeng, Hong Zheng, Congbo Cai, Yu Yang, Kaihua Zhang, and Zhong Chen. 2018. Simultaneous single-and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in biology and medicine 99 (2018), 133--141."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00196"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00328"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01322"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_12"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2921882"},{"key":"e_1_3_2_2_44_1","volume-title":"Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity. BMC medical imaging 17, 1","author":"Zheng Hong","year":"2017","unstructured":"Hong Zheng , Xiaobo Qu , Zhengjian Bai , Yunsong Liu , Di Guo , Jiyang Dong , Xi Peng , and Zhong Chen . 2017. Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity. BMC medical imaging 17, 1 ( 2017 ), 1--13. Hong Zheng, Xiaobo Qu, Zhengjian Bai, Yunsong Liu, Di Guo, Jiyang Dong, Xi Peng, and Zhong Chen. 2017. Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity. BMC medical imaging 17, 1 (2017), 1--13."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2873484"}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548068","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3548068","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:30Z","timestamp":1750186950000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548068"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":45,"alternative-id":["10.1145\/3503161.3548068","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3548068","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}