{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:04:39Z","timestamp":1750309479911,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Tianjin Natural Science Foundation","award":["21JCYBJC00510"],"award-info":[{"award-number":["21JCYBJC00510"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100019062","name":"Tianjin Research Innovation Project for Postgraduate Students","doi-asserted-by":"publisher","award":["2022SKY081"],"award-info":[{"award-number":["2022SKY081"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100019062","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1145\/3641584.3641604","type":"proceedings-article","created":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T22:44:43Z","timestamp":1718405083000},"page":"134-139","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dual Mixed Style Augmentation for Generalized Medical Image Segmentation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1936-6023","authenticated-orcid":false,"given":"Jiaxi","family":"Li","sequence":"first","affiliation":[{"name":"Academy of Medical Engineering and Translational Medicine, Tianjin University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4793-6343","authenticated-orcid":false,"given":"Yuntong","family":"Tian","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5501-9575","authenticated-orcid":false,"given":"Liang","family":"Wan","sequence":"additional","affiliation":[{"name":"Academy of Medical Engineering and Translational Medicine, Tianjin University, China"}]}],"member":"320","published-online":{"date-parts":[[2024,6,14]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Causality-inspired single-source domain generalization for medical image segmentation[J]","author":"Ouyang C","year":"2022","unstructured":"Ouyang C, Chen C, Li S, Causality-inspired single-source domain generalization for medical image segmentation[J]. IEEE transactions on medical imaging, 2022, 42(4): 1095-1106."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2973595"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Zhou Z Qi L Yang X Generalizable cross-modality medical image segmentation via style augmentation and dual normalization[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2022: 20856-20865.","DOI":"10.1109\/CVPR52688.2022.02019"},{"key":"e_1_3_2_1_4_1","first-page":"149","volume":"2021","author":"Chen C","unstructured":"Chen C, Hammernik K, Ouyang C, Cooperative training and latent space data augmentation for robust medical image segmentation[C]\/\/Proceedings of the International conference on medical image computing and computer-assisted Intervention. Strasbourg:Springer, 2021: 149-159.","journal-title":"Intervention. Strasbourg:Springer"},{"key":"e_1_3_2_1_5_1","volume-title":"Ouyang C","author":"Chen C","year":"2022","unstructured":"Chen C, Li Z, Ouyang C, Maxstyle: Adversarial style composition for robust medical image segmentation[C]\/\/Proceedings of the International conference on medical image computing and computer-assisted intervention. Cham: Springer, 2022: 151-161."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Huang X Belongie S. Arbitrary style transfer in real-time with adaptive instance normalization[C]\/\/Proceedings of the IEEE international conference on computer vision. 2017: 1501-1510.","DOI":"10.1109\/ICCV.2017.167"},{"key":"e_1_3_2_1_7_1","volume-title":"Visualizing and understanding convolutional networks[C]\/\/Proceedings of the European conference on computer vision","author":"Zeiler M D","year":"2014","unstructured":"Zeiler M D, Fergus R. Visualizing and understanding convolutional networks[C]\/\/Proceedings of the European conference on computer vision. Zurich: Springer, 2014: 818-833."},{"key":"e_1_3_2_1_8_1","volume-title":"Deep hierarchical feature learning on point sets in a metric space[J]. Advances in neural information processing systems","author":"Qi C R","year":"2017","unstructured":"Qi C R, Yi L, Su H, Pointnet++: Deep hierarchical feature learning on point sets in a metric space[J]. Advances in neural information processing systems, 2017, 30."},{"key":"e_1_3_2_1_9_1","first-page":"535","volume":"2022","author":"Zhao Y","unstructured":"Zhao Y, Zhong Z, Zhao N, Style-hallucinated dual consistency learning for domain generalized semantic segmentation[C]\/\/Proceedings of the European conference on computer vision.Cham: Springer, 2022: 535-552.","journal-title":"Springer"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3059265"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Park T Liu M Y Wang T C Semantic image synthesis with spatially-adaptive normalization[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2019: 2337-2346.","DOI":"10.1109\/CVPR.2019.00244"},{"key":"e_1_3_2_1_12_1","volume-title":"CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation[J]. Medical image analysis","author":"Kavur A E","year":"2021","unstructured":"Kavur A E, Gezer N S, Bar\u0131\u015f M, CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation[J]. Medical image analysis, 2021, 69: 101950."},{"key":"e_1_3_2_1_13_1","volume-title":"Miccai multi-atlas labeling beyond the cranial vault\u2013workshop and challenge[C]\/\/Proc. MICCAI Multi-Atlas Labeling Beyond Cranial Vault\u2014Workshop Challenge","author":"Landman B","year":"2015","unstructured":"Landman B, Xu Z, Igelsias J, Miccai multi-atlas labeling beyond the cranial vault\u2013workshop and challenge[C]\/\/Proc. MICCAI Multi-Atlas Labeling Beyond Cranial Vault\u2014Workshop Challenge. 2015, 5: 12."},{"key":"e_1_3_2_1_14_1","volume-title":"multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge[J]","author":"Campello V M","year":"2021","unstructured":"Campello V M, Gkontra P, Izquierdo C, Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge[J]. IEEE transactions on medical imaging, 2021, 40(12): 3543-3554."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20217"},{"key":"e_1_3_2_1_16_1","volume-title":"Realistic adversarial data augmentation for MR image segmentation[C]\/\/Proceedings of the International conference on medical image computing and computer-assisted intervention","author":"Chen C","year":"2020","unstructured":"Chen C, Qin C, Qiu H, Realistic adversarial data augmentation for MR image segmentation[C]\/\/Proceedings of the International conference on medical image computing and computer-assisted intervention. Lima: Springer, 2020: 667-677."},{"key":"e_1_3_2_1_17_1","volume-title":"Robust and generalizable visual representation learning via random convolutions[J]. arXiv preprint arXiv:2007.13003","author":"Xu Z","year":"2020","unstructured":"Xu Z, Liu D, Yang J, Robust and generalizable visual representation learning via random convolutions[J]. arXiv preprint arXiv:2007.13003, 2020."},{"key":"e_1_3_2_1_18_1","volume-title":"Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation[J]. arXiv preprint arXiv:2305.19949","author":"Chen Z","year":"2023","unstructured":"Chen Z, Pan Y, Ye Y, Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation[J]. arXiv preprint arXiv:2305.19949, 2023."},{"key":"e_1_3_2_1_19_1","volume-title":"Visualizing data using t-SNE[J]. Journal of machine learning research","author":"Van der Maaten L","year":"2008","unstructured":"Van der Maaten L, Hinton G. Visualizing data using t-SNE[J]. Journal of machine learning research, 2008, 9(11)."}],"event":{"name":"AIPR 2023: 2023 6th International Conference on Artificial Intelligence and Pattern Recognition","acronym":"AIPR 2023","location":"Xiamen China"},"container-title":["2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3641584.3641604","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3641584.3641604","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:29Z","timestamp":1750295849000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3641584.3641604"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":19,"alternative-id":["10.1145\/3641584.3641604","10.1145\/3641584"],"URL":"https:\/\/doi.org\/10.1145\/3641584.3641604","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2024-06-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}