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Cortical Morphometry Analysis based on Worst Transportation Theory. 基于最坏运输理论的皮质形态计量学分析。
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-06-01 Epub Date: 2021-06-14 DOI: 10.1007/978-3-030-78191-0_13
Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu

Biomarkers play an important role in early detection and intervention in Alzheimer's disease (AD). However, obtaining effective biomarkers for AD is still a big challenge. In this work, we propose to use the worst transportation cost as a univariate biomarker to index cortical morphometry for tracking AD progression. The worst transportation (WT) aims to find the least economical way to transport one measure to the other, which contrasts to the optimal transportation (OT) that finds the most economical way between measures. To compute the WT cost, we generalize the Brenier theorem for the OT map to the WT map, and show that the WT map is the gradient of a concave function satisfying the Monge-Ampere equation. We also develop an efficient algorithm to compute the WT map based on computational geometry. We apply the algorithm to analyze cortical shape difference between dementia due to AD and normal aging individuals. The experimental results reveal the effectiveness of our proposed method which yields better statistical performance than other competiting methods including the OT.

生物标志物在阿尔茨海默病(AD)的早期发现和干预中发挥着重要作用。然而，获得有效的AD生物标志物仍然是一个很大的挑战。在这项工作中，我们建议使用最差运输成本作为单变量生物标志物来索引皮质形态测量，以跟踪AD的进展。最差运输(WT)的目标是寻找最不经济的方式将一个措施运输到另一个措施，而最优运输(OT)是寻找最经济的方式在措施之间。为了计算WT代价，我们将OT映射的Brenier定理推广到WT映射，并证明WT映射是满足Monge-Ampere方程的凹函数的梯度。我们还开发了一种基于计算几何的高效算法来计算WT映射。我们应用该算法分析了阿尔茨海默氏症引起的痴呆与正常衰老个体之间皮层形状的差异。实验结果表明了该方法的有效性，其统计性能优于包括OT在内的其他竞争方法。
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引用次数: 0
A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients 基于动态连通性的多尺度时空注意网络定位脑肿瘤患者大脑皮层
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-06-01 DOI: 10.1007/978-3-030-78191-0_19
Naresh Nandakumar, K. Manzoor, S. Agarwal, J. Pillai, S. Gujar, H. Sair, A. Venkataraman
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引用次数: 4
Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference 使用无似然推断的脑灰质细胞结构测量
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-05-15 DOI: 10.1007/978-3-030-78191-0_15
Maëliss Jallais, P. Rodrigues, Alexandre Gramfort, D. Wassermann
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引用次数: 2
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer TopoTxR:预测乳腺癌治疗反应的拓扑生物标志物
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-05-13 DOI: 10.1007/978-3-030-78191-0_30
Fan Wang, S. Kapse, Steven Liu, P. Prasanna, Chao Chen
{"title":"TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer","authors":"Fan Wang, S. Kapse, Steven Liu, P. Prasanna, Chao Chen","doi":"10.1007/978-3-030-78191-0_30","DOIUrl":"https://doi.org/10.1007/978-3-030-78191-0_30","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"8 1","pages":"386-397"},"PeriodicalIF":0.0,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75460357","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: 10
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations 空间变化标签平滑:从专家注释中捕获不确定性
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-04-12 DOI: 10.1007/978-3-030-78191-0_52
Mobarakol Islam, B. Glocker
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引用次数: 26
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions 学习匹配内部斑块分布的MR切片轮廓估计
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-03-31 DOI: 10.1007/978-3-030-78191-0_9
Shuo Han, Samuel W. Remedios, A. Carass, M. Schar, Jerry L Prince
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引用次数: 1
Information-based Disentangled Representation Learning for Unsupervised MR Harmonization 基于信息的无监督MR协调解纠缠表示学习
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-03-24 DOI: 10.1007/978-3-030-78191-0_27
Lianrui Zuo, B. Dewey, A. Carass, Yihao Liu, Yufan He, P. Calabresi, Jerry L Prince
{"title":"Information-based Disentangled Representation Learning for Unsupervised MR Harmonization","authors":"Lianrui Zuo, B. Dewey, A. Carass, Yihao Liu, Yufan He, P. Calabresi, Jerry L Prince","doi":"10.1007/978-3-030-78191-0_27","DOIUrl":"https://doi.org/10.1007/978-3-030-78191-0_27","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"8 1 1","pages":"346-359"},"PeriodicalIF":0.0,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83680741","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: 27
Variational Knowledge Distillation for Disease Classification in Chest X-Rays 胸片疾病分类的变分知识精馏
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-03-19 DOI: 10.1007/978-3-030-78191-0_26
Tom van Sonsbeek, Xiantong Zhen, M. Worring, Ling Shao
{"title":"Variational Knowledge Distillation for Disease Classification in Chest X-Rays","authors":"Tom van Sonsbeek, Xiantong Zhen, M. Worring, Ling Shao","doi":"10.1007/978-3-030-78191-0_26","DOIUrl":"https://doi.org/10.1007/978-3-030-78191-0_26","url":null,"abstract":"","PeriodicalId":73379,"journal":{"name":"Information processing in medical imaging : proceedings of the ... conference","volume":"30 1","pages":"334-345"},"PeriodicalIF":0.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90165994","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: 10
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline 深度标签融合:3D端到端混合多图谱分割和深度学习管道
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-03-19 DOI: 10.1007/978-3-030-78191-0_33
L. Xie, L. Wisse, Jiancong Wang, S. Ravikumar, T. Glenn, A. Luther, Sydney A. Lim, D. Wolk, Paul Yushkevich
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引用次数: 2
Future Frame Prediction for Robot-assisted Surgery 机器人辅助手术的未来框架预测
Information processing in medical imaging : proceedings of the ... conference
Pub Date : 2021-03-18 DOI: 10.1007/978-3-030-78191-0_41
Xiaojie Gao, Yueming Jin, Zixu Zhao, Q. Dou, P. Heng
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引用次数: 8
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