Information processing in medical imaging : proceedings of the ... conference最新文献

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Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification 基于扩散模型的半监督学习脑出血图像中线偏移定量研究
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.48550/arXiv.2301.00409
Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, C. Mak, J. Abrigo, Q. Dou
{"title":"Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification","authors":"Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, C. Mak, J. Abrigo, Q. Dou","doi":"10.48550/arXiv.2301.00409","DOIUrl":"https://doi.org/10.48550/arXiv.2301.00409","url":null,"abstract":"Brain midline shift (MLS) is one of the most critical factors to be considered for clinical diagnosis and treatment decision-making for intracranial hemorrhage. Existing computational methods on MLS quantification not only require intensive labeling in millimeter-level measurement but also suffer from poor performance due to their dependence on specific landmarks or simplified anatomical assumptions. In this paper, we propose a novel semi-supervised framework to accurately measure the scale of MLS from head CT scans. We formulate the MLS measurement task as a deformation estimation problem and solve it using a few MLS slices with sparse labels. Meanwhile, with the help of diffusion models, we are able to use a great number of unlabeled MLS data and 2793 non-MLS cases for representation learning and regularization. The extracted representation reflects how the image is different from a non-MLS image and regularization serves an important role in the sparse-to-dense refinement of the deformation field. Our experiment on a real clinical brain hemorrhage dataset has achieved state-of-the-art performance and can generate interpretable deformation fields.","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"497 1","pages":"69-81"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81707350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Subtype and Stage Inference with Timescales 具有时间尺度的子类型和阶段推断
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2_2
A. Young, Leon M. Aksman, Daniel C. Alexander, P. Wijeratne
{"title":"Subtype and Stage Inference with Timescales","authors":"A. Young, Leon M. Aksman, Daniel C. Alexander, P. Wijeratne","doi":"10.1007/978-3-031-34048-2_2","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2_2","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"5 1","pages":"15-26"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80174423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation 基于可微伽马指数的损失函数:加速蒙特卡罗放疗剂量模拟
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2_37
S. Martinot, N. Komodakis, M. Vakalopoulou, N. Bus, C. Robert, É. Deutsch, N. Paragios
{"title":"Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation","authors":"S. Martinot, N. Komodakis, M. Vakalopoulou, N. Bus, C. Robert, É. Deutsch, N. Paragios","doi":"10.1007/978-3-031-34048-2_37","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2_37","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"131 1","pages":"485-496"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77975632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration POLAFFINI:用于改进非线性图像配准的高效基于特征的多仿射初始化
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2_47
Antoine Legouhy, Ross Callaghan, H. Azadbakht, Hui Zhang
{"title":"POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration","authors":"Antoine Legouhy, Ross Callaghan, H. Azadbakht, Hui Zhang","doi":"10.1007/978-3-031-34048-2_47","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2_47","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"44 1","pages":"614-625"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76684255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder 共享-唯一变分自编码器揭示的物种共享和特异性脑功能连接体
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2_4
Li Yang, Songyao Zhang, Weihan Zhang, Jingchao Zhou, Tianyang Zhong, Yaonai Wei, Xi Jiang, Tianming Liu, Jun-Feng Han, Yixuan Yuan, Tuo Zhang
{"title":"Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder","authors":"Li Yang, Songyao Zhang, Weihan Zhang, Jingchao Zhou, Tianyang Zhong, Yaonai Wei, Xi Jiang, Tianming Liu, Jun-Feng Han, Yixuan Yuan, Tuo Zhang","doi":"10.1007/978-3-031-34048-2_4","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2_4","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"1326 1","pages":"41-52"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86488807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage S2DGAN:由单能CT生成双能CT实时检测脑出血
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2_29
C. Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen
{"title":"S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage","authors":"C. Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen","doi":"10.1007/978-3-031-34048-2_29","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2_29","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"21 1","pages":"375-387"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77711689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings 医学成像中的信息处理:第28届国际会议,IPMI 2023, San Carlos de Bariloche,阿根廷,6月18-23日,2023,Proceedings
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2
{"title":"Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings","authors":"","doi":"10.1007/978-3-031-34048-2","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78651196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer's Disease Progression Modeling 过滤轨迹恢复:对基于事件的阿尔茨海默病进展模型的持续扩展
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2_8
Jiangchuan Du, Yuan Zhou
{"title":"Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer's Disease Progression Modeling","authors":"Jiangchuan Du, Yuan Zhou","doi":"10.1007/978-3-031-34048-2_8","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2_8","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"1 1","pages":"95-106"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75473731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation 不确定性感知伪标签引导下胎儿脑分割的全测试时间适应
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2_19
Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, Guotai Wang
{"title":"UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation","authors":"Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, Guotai Wang","doi":"10.1007/978-3-031-34048-2_19","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2_19","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"4 1","pages":"237-249"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83209823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Model-Informed Deep Learning for Surface Segmentation in Medical Imaging 基于模型的医学影像表面分割深度学习
Information processing in medical imaging : proceedings of the ... conference Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-34048-2_63
Xiaodong Wu, Leixin Zhou, F. Zaman, B. Qiu, J. Buatti
{"title":"Model-Informed Deep Learning for Surface Segmentation in Medical Imaging","authors":"Xiaodong Wu, Leixin Zhou, F. Zaman, B. Qiu, J. Buatti","doi":"10.1007/978-3-031-34048-2_63","DOIUrl":"https://doi.org/10.1007/978-3-031-34048-2_63","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"46 1","pages":"822-834"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81145586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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