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51. 发明授权

US08055593B2 Learning classifiers for multiple-label data analysis 有权
标题翻译：用于多标签数据分析的学习分类器
公开(公告)号：US08055593B2
公开(公告)日：2011-11-08
申请号：US11877066
申请日：2007-10-23
申请人： Romer E. Rosales , Glenn Fung , Mark Schmidt , Sriram Krishnan , R. Bharat Rao
发明人： Romer E. Rosales , Glenn Fung , Mark Schmidt , Sriram Krishnan , R. Bharat Rao
IPC分类号： G06F15/18
CPC分类号： G06K9/6226 , G06K9/6256 , G06N99/005 , G16H50/20
摘要： A method for multiple-label data analysis includes: obtaining labeled data points from more than one labeler; building a classifier that maximizes a measure relating the data points, labels on the data points and a predicted output label; and assigning an output label to an input data point by using the classifier.
摘要翻译：一种用于多标签数据分析的方法包括：从多于一个的贴标机获取标记的数据点; 建立一个分类器，最大化与数据点，数据点上的标签和预测输出标签相关的度量; 并通过使用分类器将输出标签分配给输入数据点。

52. 发明授权

US07844560B2 Personalized prognosis modeling in medical treatment planning 有权
标题翻译：医疗策划中的个性化预后建模
公开(公告)号：US07844560B2
公开(公告)日：2010-11-30
申请号：US11735720
申请日：2007-04-16
申请人： Sriram Krishnan , R. Bharat Rao , Christopher Jude Amies
发明人： Sriram Krishnan , R. Bharat Rao , Christopher Jude Amies
IPC分类号： G06N5/02 , G06N5/04 , G06F17/30
CPC分类号： A61N5/103 , A61N2005/1041 , G06F19/00 , G06F19/3481 , G16H50/30 , G16H50/50
摘要： Automated treatment planning is provided with individual specific consideration. One or more prognosis models indicate survivability as a function of patient specific information for a given dose. By determining survivability for a plurality of doses, the biological model represented by survivability as a function of dose is determined from the specific patient. Similarly, the chances of complications or side effects are determined. The chance of survivability and chance of complication are used as or instead of the tumor control probability and normal tissue complications probability, respectively. The desired tumor dosage and tolerance dosage are selected as a function of the patient specific dose distributions. The selected dosages are input to an inverse treatment planning system for establishing radiation treatment parameters.
摘要翻译：提供自动化治疗计划，具体考虑。一个或多个预后模型表明作为给定剂量的患者特异性信息的函数的存活率。通过确定多个剂量的存活率，从特定患者确定作为剂量的函数的存活率所表示的生物学模型。类似地，确定并发症或副作用的机会。生存能力和并发症的机会分别被用作肿瘤控制概率和正常组织并发症概率。选择所需的肿瘤剂量和耐受剂量作为患者具体剂量分布的函数。选择的剂量被输入到用于建立放射治疗参数的反向治疗计划系统。

53. 发明授权

US07693315B2 Systems and methods for providing automated regional myocardial assessment for cardiac imaging 有权
标题翻译：为心脏成像提供自动区域心肌评估的系统和方法
公开(公告)号：US07693315B2
公开(公告)日：2010-04-06
申请号：US10876803
申请日：2004-06-25
申请人： Sriram Krishnan , R. Bharat Rao , Richard M. Bennett
发明人： Sriram Krishnan , R. Bharat Rao , Richard M. Bennett
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , A61B6/507 , G06F19/00 , G06T2207/30048
摘要： Systems and methods are provided for automated assessment of regional myocardial function using wall motion analysis methods that analyze various features/parameters of patient information (image data and non-image data) obtained from medical records of a patient. For example, a method for providing automatic diagnostic support for cardiac imaging generally comprises obtaining image data of a heart of a patient, obtaining features from the image data of the heart, which are related to motion of the myocardium of the heart, and automatically assessing regional myocardial function of one or more regions of a myocardial wall using the obtained features.
摘要翻译：提供了系统和方法，用于使用分析从患者的病历获得的患者信息（图像数据和非图像数据）的各种特征/参数的壁运动分析方法来自动评估区域心肌功能。例如，提供用于心脏成像的自动诊断支持的方法通常包括获得患者心脏的图像数据，从心脏的图像数据获得与心脏心肌的运动相关的特征，并自动评估使用获得的特征，心肌壁的一个或多个区域的区域心肌功能。

54. 发明授权

US07653227B2 Hierarchical modeling in medical abnormality detection 有权
标题翻译：医学异常检测中的分层建模
公开(公告)号：US07653227B2
公开(公告)日：2010-01-26
申请号：US11054600
申请日：2005-02-08
申请人： Sriram Krishnan , Jinbo Bi , R. Bharat Rao
发明人： Sriram Krishnan , Jinbo Bi , R. Bharat Rao
IPC分类号： G06K9/00 , A61B6/00
CPC分类号： G16H50/20 , G06F19/00 , G16H50/50
摘要： Hierarchal modeling is used to distinguish one state or class from three or more classes. In a first stage, a normal or other class is distinguished from a diseased or other groups of classes. If the results of the first stage classification indicate diseased or data within the groups of different classes, a subsequent stage of classification is performed. In a subsequent stage of classification, the data is classified to distinguish one or more other classes from the remaining classes. Using two or more stages, medical information is classified by eliminating one or more possible classes in each stage to finally identify a particular class most appropriate or probable for the data.
摘要翻译：层次建模用于将一个状态或类与三个或更多个类进行区分。在第一阶段，正常或其他类别与患病或其他类别的群体不同。如果第一阶段分类的结果表示不同类别的组内的患病或数据，则执行后续分类阶段。在分类的后续阶段，将数据分类为将一个或多个其他类别与其余类别区分开。使用两个或更多个阶段，通过消除每个阶段中的一个或多个可能的类别来最终识别数据最适合或可能的特定类别来分类医学信息。

55. 发明申请

US20090006055A1 Automated Reduction of Biomarkers 审中-公开
标题翻译：自动降低生物标志物
公开(公告)号：US20090006055A1
公开(公告)日：2009-01-01
申请号：US12135313
申请日：2008-06-09
申请人： Glenn Fung , Renaud G. Seigneuric , Sriram Krishnan , R. Bharat Rao , Philippe Lambin
发明人： Glenn Fung , Renaud G. Seigneuric , Sriram Krishnan , R. Bharat Rao , Philippe Lambin
IPC分类号： G06G7/60
CPC分类号： G16B25/00 , G16B40/00
摘要： A list of biomarkers indicative of patient outcome is reduced. A computer program is applied to a set of biomarkers indicative of a patient outcome (e.g., prognosis, diagnosis, or treatment result). The computer program models the set of biomarkers with a subset of the biomarkers. The subset is identified without labeling based on the patient outcome. Instead, biomarker scores (e.g., sequence score) are used to identify the subset of biomarkers.
摘要翻译：减少了指示患者结果的生物标志物的列表。将计算机程序应用于指示患者结果的一组生物标志物（例如，预后，诊断或治疗结果）。计算机程序用生物标志物的一个子集建模该组生物标志物。基于患者结果，该子集被识别而没有标记。相反，生物标志物评分（例如，序列评分）用于鉴定生物标志物的子集。

56. 发明申请

US20080286273A1 Knowledge-Based Proliferation Signatures and Methods of Use 审中-公开
标题翻译：基于知识的增殖签名和使用方法
公开(公告)号：US20080286273A1
公开(公告)日：2008-11-20
申请号：US12113481
申请日：2008-05-01
申请人： Maud H.W. Starmans , Balaji Krishnapuram , Renaud G. Seigneuric , Harald Steck , Dimitry S.A. Nuyten , Francesca Meteora Buffa , Adrian Lewellyn Harris , Bradly G. Wouters , Philippe Lambin , R. Bharat Rao , Sriram Krishnan
发明人： Maud H.W. Starmans , Balaji Krishnapuram , Renaud G. Seigneuric , Harald Steck , Dimitry S.A. Nuyten , Francesca Meteora Buffa , Adrian Lewellyn Harris , Bradly G. Wouters , Philippe Lambin , R. Bharat Rao , Sriram Krishnan
IPC分类号： A61K39/395 , C12Q1/68 , A61P35/00 , A61K33/24 , C40B40/08
CPC分类号： C12Q1/6886 , C12Q2600/106 , C12Q2600/118 , C12Q2600/158 , G16B20/00 , G16B25/00 , Y02A90/26
摘要： The present invention provides methods and compositions for predicting patient responses to cancer treatment using a proliferation gene signature. These methods can comprise measuring in a biological sample from a patient the levels of gene expression of a group of the genes designated herein. The present invention also provides for microarrays that can detect expression from a group of genes.
摘要翻译：本发明提供了使用增殖基因特征预测患者对癌症治疗的反应的方法和组合物。这些方法可以包括在来自患者的生物样品中测量本文指定的一组基因的基因表达水平。本发明还提供了可以检测一组基因的表达的微阵列。

57. 发明申请

US20080275731A1 Patient data mining improvements 审中-公开
标题翻译：患者数据挖掘改进
公开(公告)号：US20080275731A1
公开(公告)日：2008-11-06
申请号：US11435657
申请日：2006-05-17
申请人： R. Bharat Rao , Sriram Krishnan , William A. Landi
发明人： R. Bharat Rao , Sriram Krishnan , William A. Landi
IPC分类号： G06F19/00 , G06F17/30
CPC分类号： G06Q50/24 , G06F19/321 , G16H50/70
摘要： Improvements in mining information from patient records and/or use of such mined information are provided. The identity of the patient is used to link to patient records at different institutions for mining. The user controls one or more thresholds for mining and/or inferring. By providing a user interface that allows selection of a portion of the statistical summary, data supporting the statistics may be output. To assist in understanding the knowledge base used for mining or inferring, a visual representation is output. The mining may be used for diagnosis related groupings.
摘要翻译：提供了从患者记录中挖掘信息和/或使用这种开采信息的改进。患者的身份用于链接到不同机构的患者记录进行采矿。用户控制用于挖掘和/或推断的一个或多个阈值。通过提供允许选择统计摘要的一部分的用户界面，可以输出支持统计的数据。为了帮助理解用于挖掘或推断的知识库，输出视觉表示。采矿可用于诊断相关分组。

58. 发明申请

US20070036414A1 Method for database guided simultaneous multi slice object detection in three dimensional volumetric data 有权
标题翻译：三维体积数据中数据库引导同时多切片物体检测方法
公开(公告)号：US20070036414A1
公开(公告)日：2007-02-15
申请号：US11502709
申请日：2006-08-10
申请人： Bogdan Georgescu , Xiang Zhou , Wei Hong , Dorin Comaniciu , Sriram Krishnan
发明人： Bogdan Georgescu , Xiang Zhou , Wei Hong , Dorin Comaniciu , Sriram Krishnan
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10136 , G06T2207/20081 , G06T2207/30048
摘要： The present invention is directed to a method for automatic detection and segmentation of a target anatomical structure in received three dimensional (3D) volumetric medical images using a database of a set of volumetric images with expertly delineated anatomical structures. A 3D anatomical structure detection and segmentation module is trained offline by learning anatomical structure appearance using the set of expertly delineated anatomical structures. A received volumetric image for the anatomical structure of interest is searched online using the offline learned 3D anatomical structure detection and segmentation module.
摘要翻译：本发明涉及一种使用具有专门描绘的解剖结构的一组体积图像的数据库来自动检测和分割接收的三维（3D）体积医学图像中的目标解剖结构的方法。 3D解剖结构检测和分割模块通过使用专门描绘的解剖结构集合学习解剖结构外观来进行离线训练。使用离线学习的3D解剖结构检测和分割模块在线搜索用于感兴趣解剖结构的接收体积图像。

59. 发明授权

US07054910B1 Data replication facility for distributed computing environments 有权
公开(公告)号：US07054910B1
公开(公告)日：2006-05-30
申请号：US10027694
申请日：2001-12-20
申请人： Richard J. Nordin , Andreas L. Bauer , Sriram Krishnan , Gregory W. Lazar
发明人： Richard J. Nordin , Andreas L. Bauer , Sriram Krishnan , Gregory W. Lazar
IPC分类号： G06F15/16 , G06F12/00 , G06F11/00
CPC分类号： G06F17/30194 , G06F11/1435 , G06F11/2094 , G06F11/2097 , H04L29/12132 , H04L61/1552 , H04L67/1095 , Y10S707/99953 , Y10S707/99955
摘要： A data replication facility for distributed computing environments. A computer network having a plurality of network nodes utilizes a distributed directory provider service (DPS) having an established master node. The DPS supports a file replication service (FRS). The FRS establishes one of the nodes as originator node which receives new or updated files from one or more user/GUIs and/or from one or more software providers such as a security provider. The originator node in cooperation with the master node establish a backup copy of the new or updated file in the master node. Thereafter, the originator node publishes a File Version Variable (FVV) representation of the new or updated file to other network nodes (slave nodes) which obtain such file from the originator or, if need be, from the backup master node. Object observers are utilized to determine changes to the file version variables thereby triggering the downloading of new or updated files into the network nodes, whereby data file replication is accomplished throughout the network. In addition to avoiding a single point of failure, embodiments of the present invention also are network-topology independent. Additional syncing threads are employed as part of the file replication service to further ensure synchronization of the network nodes' data files within a predetermined interval, regardless of network failure modes. Embodiments of the present invention are particularly useful with networks of the client-server storage network variety.

60. 发明申请

US20060100518A1 Automated diastolic function analysis with ultrasound 审中-公开
标题翻译：超声波自动舒张功能分析
公开(公告)号：US20060100518A1
公开(公告)日：2006-05-11
申请号：US11179422
申请日：2005-07-12
申请人： Sriram Krishnan
发明人： Sriram Krishnan
IPC分类号： A61B8/02
CPC分类号： A61B8/483 , A61B6/503 , A61B8/08 , A61B8/0858 , A61B8/0883
摘要： Automated analysis of heart function is provided with ultrasound images. A clip of ultrasound images of the heart is used to detect two or three dimensional motion, such as determining a two-dimensional motion vector by tracking wall segments with B-mode data. The amplitude of motion during the e-wave and/or a-wave phase of diastole is extracted for diagnosis assistance.
摘要翻译：超声图像提供心脏功能的自动分析。使用心脏的超声图像的剪辑来检测两维或三维运动，例如通过使用B模式数据跟踪壁段来确定二维运动矢量。提取舒张期的e波和/或a波期间的运动幅度用于诊断辅助。

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