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公开(公告)号：US20150126620A1
公开(公告)日：2015-05-07
申请号：US13587743
申请日：2012-08-16
Applicant: Thomas B. Neff , David Liu , Gail Walkinshaw , Marja Johanna Myllyharju , Kari Ilkka Kivirikko , Peppi Leena Elina Karppinen
Inventor： Thomas B. Neff , David Liu , Gail Walkinshaw , Marja Johanna Myllyharju , Kari Ilkka Kivirikko , Peppi Leena Elina Karppinen
IPC: A61K45/06
CPC classification number: A61K45/06
Abstract: The present invention relates to improved methods and compounds for treating anemia. Screening methods to identify agents for use in these treatment methods are also provided.
Abstract translation: 本发明涉及治疗贫血的改进方法和化合物。 还提供了用于鉴定用于这些处理方法的试剂的筛选方法。
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82.发明授权Network apparatuses, networks, computer program products, and management station operational methods 有权网络设备，网络，计算机程序产品和管理站操作方法公开(公告)号：US08837458B2
公开(公告)日：2014-09-16
申请号：US11745241
申请日：2007-05-07
Applicant: David Liu , David C. Bennett
Inventor： David Liu , David C. Bennett
CPC classification number: H04L41/022
Abstract: Network apparatuses, networks, computer program products, and management station operational methods are provided. One aspect of the invention provides a network apparatus including a management station adapted to couple with a network including a plurality of managed devices, the management station being configured to output a plurality of initial commands for application to respective managed devices, the initial commands being configured to stimulate initial responses from the managed devices, the management station being further configured to receive the initial responses, to identify responding ones of the managed devices responsive to the received initial responses, and to provide an asset table containing the identified managed devices. Another aspect provides a management station operational method including providing a network comprising a plurality of managed devices; outputting a plurality of initial commands to the managed devices using a management station to stimulate initial responses from the managed devices; receiving the initial responses from the managed devices using the management station; and identifying the managed devices using the management station responsive to the receiving the initial responses.
Abstract translation: 提供网络设备，网络，计算机程序产品和管理站操作方法。 本发明的一个方面提供了一种网络设备，包括管理站，其适于与包括多个被管理设备的网络耦合，所述管理站被配置为输出多个初始命令以应用于相应的被管理设备，所述初始命令被配置 为了刺激来自被管理设备的初始响应，管理站被进一步配置为接收初始响应，以响应于接收到的初始响应来识别被管理设备中的响应的一个，并提供包含所识别的被管理设备的资产表。 另一方面提供一种管理站操作方法，包括提供包括多个被管理设备的网络; 使用管理站向所述被管理设备输出多个初始命令以刺激来自被管理设备的初始响应; 使用管理站接收来自被管理设备的初始响应; 以及响应于接收到所述初始响应，使用所述管理站识别所述被管理设备。
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83.发明授权Method and system for automatic detection of spinal bone lesions in 3D medical image data 有权3D医学图像数据中脊髓损伤自动检测方法及系统公开(公告)号：US08693750B2
公开(公告)日：2014-04-08
申请号：US13342248
申请日：2012-01-03
Applicant: Michael Wels , Michael Suehling , Shaohua Kevin Zhou , David Liu , Dijia Wu , Christopher V. Alvino , Michael Kelm , Grzegorz Soza , Dorin Comaniciu
Inventor： Michael Wels , Michael Suehling , Shaohua Kevin Zhou , David Liu , Dijia Wu , Christopher V. Alvino , Michael Kelm , Grzegorz Soza , Dorin Comaniciu
CPC classification number: G06K9/4614 , G06K9/6256 , G06K2209/055 , G06K2209/40 , G06T7/0012 , G06T2207/10072 , G06T2207/20016 , G06T2207/20081 , G06T2207/30012 , G06T2207/30096
Abstract: A method and system for automatic detection and volumetric quantification of bone lesions in 3D medical images, such as 3D computed tomography (CT) volumes, is disclosed. Regions of interest corresponding to bone regions are detected in a 3D medical image. Bone lesions are detected in the regions of interest using a cascade of trained detectors. The cascade of trained detectors automatically detects lesion centers and then estimates lesion size in all three spatial axes. A hierarchical multi-scale approach is used to detect bone lesions using a cascade of detectors on multiple levels of a resolution pyramid of the 3D medical image.
Abstract translation: 公开了一种用于3D医学图像中的骨损伤的自动检测和体积定量的方法和系统，例如3D计算机断层摄影（CT）体积。 在3D医学图像中检测与骨骼区域相对应的兴趣区域。 使用级联的经过训练的检测器在感兴趣的区域中检测到骨损伤。 训练有素的检测器的级联自动检测损伤中心，然后估计所有三个空间轴的病变大小。 使用分级多尺度方法来使用3D医学图像的分辨率金字塔的多个级别上的级联检测器来检测骨损伤。
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84.发明申请Method and System for Automatic Rib Centerline Extraction Using Learning Base Deformable Template Matching 有权使用学习基础变形模板匹配的自动肋中心线提取的方法和系统公开(公告)号：US20130077841A1
公开(公告)日：2013-03-28
申请号：US13602730
申请日：2012-09-04
Applicant: Dijia Wu , David Liu , Christian Tietjen , Grzegorz Soza , Shaohua Kevin Zhou , Dorin Comaniciu
Inventor： Dijia Wu , David Liu , Christian Tietjen , Grzegorz Soza , Shaohua Kevin Zhou , Dorin Comaniciu
IPC: G06K9/46
CPC classification number: G06K9/6207 , G06T7/12 , G06T7/149 , G06T2207/10072 , G06T2207/20081 , G06T2207/20116 , G06T2207/30008 , G06T2207/30172
Abstract: A method and system for extracting rib centerlines in a 3D volume, such as a 3D computed tomography (CT) volume, is disclosed. Rib centerline voxels are detected in the 3D volume using a learning based detector. Rib centerlines or the whole rib cage are then extracted by matching a template of rib centerlines for the whole rib cage to the 3D volume based on the detected rib centerline voxels. Each of the extracted rib centerlines are then individually refined using an active contour model.
Abstract translation: 公开了一种用于在3D体积中提取肋骨中心线的方法和系统，例如3D计算机断层摄影（CT）体积。 使用基于学习的检测器在3D体积中检测肋中心线体素。 然后通过将基于检测到的肋骨中心线体素的整个肋骨架的肋骨中心线的模板与3D体积匹配来提取肋中心线或整个肋骨笼。 然后使用主动轮廓模型分别提取每个提取的肋中心线。
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85.发明申请SYSTEM AND METHOD FOR AUTOMATIC MAGNETIC RESONANCE VOLUME COMPOSITION AND NORMALIZATION 有权用于自动磁共振体积组成和正规化的系统和方法公开(公告)号：US20130072782A1
公开(公告)日：2013-03-21
申请号：US13616548
申请日：2012-09-14
Applicant: David Liu , Shaohua Kevin Zhou , Peter Gall , Dorin Comaniciu , Andre de Aliveira , Berthold Kiefer
Inventor： David Liu , Shaohua Kevin Zhou , Peter Gall , Dorin Comaniciu , Andre de Aliveira , Berthold Kiefer
IPC: A61B5/055
CPC classification number: G06T7/0034 , A61B5/055 , G01R33/5608 , G01R33/565 , G06T7/35 , G06T2207/10088 , G06T2207/30004
Abstract: A method and system for automatic magnetic resonance (MR) volume composition and normalization is disclosed. In one embodiment, a plurality of MR volumes is received. A composite MR volume is generated from the plurality of MR volumes. Volume normalization of the composite MR volume is then performed to correct intensity inhomogeneity in the composite MR volume. The volume normalization of the composite MR volume may be performed using template MR volume or without a template MR volume.
Abstract translation: 公开了一种用于自动磁共振（MR）体积组成和归一化的方法和系统。 在一个实施例中，接收多个MR卷。 从多个MR卷生成复合MR卷。 然后执行复合MR体积的体积归一化以校正复合MR体积中的强度不均匀性。 可以使用模板MR体积或不具有模板MR体积来执行复合MR体积的体积归一化。
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Patent Agency Ranking
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公开(公告)号：US08296660B2
公开(公告)日：2012-10-23
申请号：US12037700
申请日：2008-02-26
Applicant: Mike Macadaan , William G. Wetherell , David Liu
Inventor： Mike Macadaan , William G. Wetherell , David Liu
IPC: G06F3/00
CPC classification number: G06F17/30864 , G06F3/0482 , G06F17/30274 , G06F17/30554 , G06F17/3056 , G06F17/30867 , G06Q30/0255 , G06Q30/0269 , G06Q30/0271 , H04L67/22 , H04L67/306
Abstract: A method for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying one or more features of a short term profile of a user that are not included in a long term profile of the user, using the one or more features to identify one or more third party profiles having features that substantially match the one or more features of the user's short term profile, accessing the identified one or more third party profiles, and providing one or more content items included in the third party profile to the user, the one or more content items having associated features that match the one or more features of the short term profile. An alternative method comprises accessing one or more third party profiles that are not a profile of the user, and using the accessed third party profile to identify a plurality of content items for recommendation to the user based on a feature set of the third party profile.
Abstract translation: 一种用于在包括被配置为显示内容的用户界面的计算系统中为特定用户个性化内容的方法。 所述方法包括：使用所述一个或多个特征来识别不包括在所述用户的长期简档中的用户的短期简档的一个或多个特征，以识别具有与所述一个特征基本一致的特征的一个或多个第三方简档 或更多的特征，用户的短期简档，访问所识别的一个或多个第三方简档，以及向所述用户提供包括在所述第三方简档中的一个或多个内容项，所述一个或多个内容项具有与所述一个 或更多的短期特征。 替代方法包括访问不是用户简档的一个或多个第三方简档，并且使用所访问的第三方简档来基于第三方简档的特征集识别用于向用户推荐的多个内容项。
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88.发明申请Method and System for Automatic Detection of Spinal Bone Lesions in 3D Medical Image Data 有权自动检测3D医学图像数据中脊髓损伤的方法和系统公开(公告)号：US20120183193A1
公开(公告)日：2012-07-19
申请号：US13342248
申请日：2012-01-03
Applicant: Michael Wels , Michael Suehling , Shaohua Kevin Zhou , David Liu , Dijia Wu , Christopher V. Alvino , Michael Kelm , Grzegorz Soza , Dorin Comaniciu
Inventor： Michael Wels , Michael Suehling , Shaohua Kevin Zhou , David Liu , Dijia Wu , Christopher V. Alvino , Michael Kelm , Grzegorz Soza , Dorin Comaniciu
IPC: G06K9/00
CPC classification number: G06K9/4614 , G06K9/6256 , G06K2209/055 , G06K2209/40 , G06T7/0012 , G06T2207/10072 , G06T2207/20016 , G06T2207/20081 , G06T2207/30012 , G06T2207/30096
Abstract: A method and system for automatic detection and volumetric quantification of bone lesions in 3D medical images, such as 3D computed tomography (CT) volumes, is disclosed. Regions of interest corresponding to bone regions are detected in a 3D medical image. Bone lesions are detected in the regions of interest using a cascade of trained detectors. The cascade of trained detectors automatically detects lesion centers and then estimates lesion size in all three spatial axes. A hierarchical multi-scale approach is used to detect bone lesions using a cascade of detectors on multiple levels of a resolution pyramid of the 3D medical image.
Abstract translation: 公开了一种用于3D医学图像中的骨损伤的自动检测和体积定量的方法和系统，例如3D计算机断层摄影（CT）体积。 在3D医学图像中检测与骨骼区域相对应的兴趣区域。 使用级联的经过训练的检测器在感兴趣的区域中检测到骨损伤。 训练有素的检测器的级联自动检测损伤中心，然后估计所有三个空间轴的病变大小。 使用分级多尺度方法来使用3D医学图像的分辨率金字塔的多个级别上的级联检测器来检测骨损伤。
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公开(公告)号：US20120070053A1
公开(公告)日：2012-03-22
申请号：US13229953
申请日：2011-09-12
Applicant: David Liu , Shaohua Kevin Zhou , Dominik Bernhardt , Dorin Comaniciu
Inventor： David Liu , Shaohua Kevin Zhou , Dominik Bernhardt , Dorin Comaniciu
IPC: G06K9/00
CPC classification number: G06K9/00 , G06K2209/05 , G06T7/0012 , G06T7/73 , G06T2207/10028 , G06T2207/10081 , G06T2207/20044 , G06T2207/20081 , G06T2207/30101 , G06T2207/30172 , G06T2207/30204
Abstract: The present invention provides a method and system for vascular landmark detection in CT volumes. A CT volume is received and an initial position of a plurality of vascular landmarks is detected. The initial position of each of the plurality of vascular landmarks is then adjusted in order to position each vascular landmark inside a vessel lumen. A new position of each of the plurality of vascular landmarks representing the adjusted initial positions is output.
Abstract translation: 本发明提供了CT体积中血管标志物检测的方法和系统。 接收CT体积并检测多个血管界标的初始位置。 然后调整多个血管标志中的每一个的初始位置，以便将血管标记位于血管内腔内。 输出表示调整后的初始位置的多个血管界标中的每一个的新位置。
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90.发明申请MICRO-SPHERICAL POROUS BIOCOMPATIBLE SCAFFOLDS AND METHODS AND APPARATUS FOR FABRICATING SAME 审中-公开微球形多孔生物相容性及其制备方法及装置公开(公告)号：US20110212179A1
公开(公告)日：2011-09-01
申请号：US13126456
申请日：2009-10-30
Applicant: David Liu
Inventor： David Liu
IPC: A61K9/14 , A61K35/00 , A61K35/12 , C12N5/071 , B01J19/00 , C08G63/91 , C08F20/56 , C08F116/06 , C08J9/00 , C08G73/10 , B82Y30/00
CPC classification number: C08J9/26 , A61K9/0019 , A61K9/5031 , A61K9/5089 , A61K48/00 , A61K51/1255 , A61L24/0036 , A61L27/38 , A61L27/3834 , A61L27/3839 , A61L27/56 , A61L2430/36 , C08J9/28 , C08J2201/0446 , C08J2201/0544 , C08J2207/10 , C12N15/88
Abstract: Provided herein are bimodal porous polymer microspheres comprising macropores and micropores. Also provided herein are methods and apparatus for fabrication such microspheres. Further provided herein are methods of using bimodal porous polymer microspheres.
Abstract translation: 本文提供了包含大孔和微孔的双峰多孔聚合物微球。 本文还提供了用于制造这种微球的方法和装置。 本文还提供了使用双峰多孔聚合物微球的方法。
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