| Patent application number | Description | Published |
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| 20090042926 | Niacin Receptor Agonists, Compositions Containing Such Compounds and Methods of Treatment - The present invention encompasses compounds of Formula (I): as well as pharmaceutically acceptable salts and hydrates thereof, that are useful for treating atherosclerosis, dyslipidemias and the like. Pharmaceutical compositions and methods of use are also included. | 02-12-2009 |
| 20090170891 | Niacin Receptor Agonists, Compositions Containing Such Compounds and Methods of Treatment - The present invention encompasses compounds of Formula I: | 07-02-2009 |
| 20090258862 | Niacin receptor agonists, compositions containing such compounds and methods of treatment - Compounds of the formula (I): as well as pharmaceutically acceptable salts and solvates are disclosed. The compounds are useful for treating dyslipidemias, and in particular, reducing serum LDL, VLDL and triglycerides, and raising HDL levels. Pharmaceutical compositions and methods of treatment are also included. | 10-15-2009 |
| 20100144778 | Niacin Receptor Agonists, Compositions Containing Such Compounds and Methods of Treatment - The present invention encompasses compounds of Formula (I): as well as pharmaceutically acceptable salts and hydrates thereof, that are useful for treating atherosclerosis, dyslipidemias and the like. Pharmaceutical compositions and methods of use are also included. | 06-10-2010 |
| 20100197691 | SOLUBLE EPOXIDE HYDROLASE INHIBITORS, COMPOSITIONS CONTAINING SUCH COMPOUNDS AND METHODS OF TREATMENT - Compounds of the Formula: (I) as well as pharmaceutically acceptable salts and hydrates thereof, that are useful for treating hypertension, diabetes, inflammation, atherosclerosis, pain, and the like are disclosed. Pharmaceutical compositions and methods of use are also included. | 08-05-2010 |
| 20110003849 | SOLUBLE EPOXIDE HYDROLASE INHIBITORS, COMPOSITIONS CONTAINING SUCH COMPOUNDS AND METHODS OF TREATMENT - Compounds of the formula: as well as pharmaceutically acceptable salts and hydrates thereof, that are useful for treating diabetes, inflammation, atherosclerosis, hypertension, pain and the like are disclosed. Pharmaceutical compositions and methods of use are also included. | 01-06-2011 |
| Patent application number | Description | Published |
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| 20080285830 | Computer Aided Lesion Assessment in Dynamic Contrast Enhanced Breast MRI Images - A method for performing computer-assisted lesion assessment includes acquiring contrast enhanced MRI data. A region of interest is identified. Kinetic properties, morphological properties and pattern of enhancement are determined for the identified region of interest. A score is calculated for each of the kinetic properties, morphological properties, pattern of enhancement. A cumulative score is calculated for the identified region of interest. The scores are provided to a medical practitioner to assist in diagnosing the identified region of interest. | 11-20-2008 |
| 20080287796 | Method and system for spine visualization in 3D medical images - A method and system for visualizing the spine in 3D medical images is disclosed. A spinal cord centerline is automatically determined in a 3D medical image volume, such as a CT volume. A reformatted image volume is then generated based on the spinal cord centerline. The reformatted image volume can be a straightened spine volume or a Multi-planar Reconstruction (MPR) based volume that follows the natural curve of the spine. The reconstructed volume can be displayed as 2D slices or 3D volume renderings. | 11-20-2008 |
| 20090041328 | Feature Processing For Lung Nodules In Computer Assisted Diagnosis - Feature processing is provided for lung nodules in computer-assisted diagnosis. A feature that may better distinguish nodules from background is extracted using a Hough transform. Rather than relying on a specific boundary shape, the Hough transform accumulates evidence associated with a region, such as a ring region. The accumulated evidence provides a feature score without requiring a nodule to fit a specific shape. In another approach, a background level is determined from extracted features. Rather than attempting to normalize an image prior to extraction, the features are normalized. The feature normalization and generalized Hough transform extraction may be used together or alone. | 02-12-2009 |
| 20090087072 | Method and system for diaphragm segmentation in chest X-ray radiographs - A method and system for segmenting diaphragm regions in a chest X-ray radiograph is disclosed. The diaphragm regions are segmented based on left and right lung lobe regions and a heart region in the chest X-ray radiograph. A right diaphragm region is segmented in the chest X-ray radiograph based a boundary of the right lung lobe. A left diaphragm region is segmented in the chest X-ray radiograph based on the heart region and a boundary of the left lung lobe. | 04-02-2009 |
| 20090103797 | Method and system for nodule feature extraction using background contextual information in chest x-ray images - A method and system for nodule feature extract using background contextual information in chest x-ray images is disclosed. In order to detect false positives in nodule candidates for a chest x-ray image, background contextual information, such as contextual vessel tree information, is defined in the chest x-ray image. Features are extracted for each nodule candidate based on the background contextual information, and the extracted features are used to detect whether each nodule candidate is a false positive or a genuine nodule. | 04-23-2009 |
| 20090116737 | Machine Learning For Tissue Labeling Segmentation - A method for directed machine learning includes receiving features including intensity data and location data of an image, condensing the intensity data and the location data into a feature vector, processing the feature vector by a plurality of classifiers, each classifier trained for a respective trained class among a plurality of classes, outputting, from each classifier, a probability of the feature vector belong to the respective trained class, and assigning the feature vector a label according to the probabilities of the classifiers, wherein the assignment produces a segmentation of the image. | 05-07-2009 |
