Abstract: Methods and systems are provided for cine magnetic resonance fingerprinting (MRF). In one example, a method includes obtaining k-space data of an MRF scan of a subject, the k-space data acquired over a plurality of phases of at least one cardiac cycle of the subject, training an image reconstruction network (IRN) to output, for each phase, one or more subspace images of the subject using the k-space data, and training a parameter estimation network (PEN) to output, for each phase, a set of tissue parameter maps of the subject using the one or more subspace images output by the IRN for the corresponding phase. Upon training the IRN and the PEN, the method further includes obtaining (and displaying and/or saving in memory) a final set of tissue parameter maps of the subject for one or more or each of the plurality of phases.

Abstract: The present disclosure relates to a method. The method includes accessing automatically segmented liver data and automatically segmented spleen data from a patient. The automatically segmented liver data is used to determine a liver attenuation and the automatically segmented spleen data is used to determine a spleen attenuation. A liver-to-spleen attenuation ratio is determined from the liver attenuation and the spleen attenuation.

Abstract: The present disclosure, in some embodiments, relates to a method of generating a prognosis for a patient. The method includes accessing automatically segmented pericoronary adipose tissue (PCAT) corresponding to a patient within an electronic memory. A plurality of non-confounding PCAT features are generated by measuring values of Hounsfield units for an imaging unit within the PCAT. The measured values of the Hounsfield units are predominately free of iodine confounding and artifacts. The plurality of non-confounding PCAT features are provided to a regression model.

Abstract: One embodiment of the present invention sets forth a technique for processing unstructured data. The technique includes applying one or more machine learning models to a set of candidate topics extracted from the unstructured data to determine a set of activities of interest included in the set of candidate topics. The technique also includes generating a set of scores for the activities of interest, wherein each score included in the set of scores represents an estimated impact of a corresponding activity of interest on operations within a domain. The technique further includes determining one or more activities included in the set of activities of interest based on a ranking of the activities of interest by the scores, and causing one or more alerts to be outputted in a user interface, wherein each of the alerts is associated with a potential event related to the one or more activities.

Abstract: Methods and systems generate synthetic late gadolinium enhancement (LGE) magnetic resonance images using a magnetic resonance fingerprinting (MRF) acquisition. From a single acquisition, MRF image data is obtained, including co-registered T1 and T2 tissue property maps. Different tissue regions of interest are identified, such as viable myocardium, scar, and blood and T1 and T2 values for each are determined. Based on these, different sets of pulse sequence parameters are determined, e.g., using different synthetic image contrast models receiving the MRF image data. Synthetic LGE images at different contrasts are generated as a result, including a synthetic bright-blood LGE image, a synthetic dark-blood/gray-blood LGE image, and a synthetic optimized imaged.

Abstract: Methods and systems generate synthetic late gadolinium enhancement (LGE) magnetic resonance images using a magnetic resonance fingerprinting (MRF) acquisition. From a single acquisition, MRF image data is obtained, including co-registered T1 and T2 tissue property maps. Different tissue regions of interest are identified, such as viable myocardium, scar, and blood and T1 and T2 values for each are determined. Based on these, different sets of pulse sequence parameters are determined, e.g., using different synthetic image contrast models receiving the MRF image data. Synthetic LGE images at different contrasts are generated as a result, including a synthetic bright-blood LGE image, a synthetic dark-blood/gray-blood LGE image, and a synthetic optimized imaged.

Abstract: One embodiment of the present invention sets forth a technique for processing unstructured data. The technique includes applying one or more machine learning models to a set of candidate topics extracted from the unstructured data to determine a set of activities of interest included in the set of candidate topics. The technique also includes generating a set of scores for the activities of interest, wherein each score included in the set of scores represents an estimated impact of a corresponding activity of interest on operations within a domain. The technique further includes determining one or more activities included in the set of activities of interest based on a ranking of the activities of interest by the scores, and causing one or more alerts to be outputted in a user interface, wherein each of the alerts is associated with a potential event related to the one or more activities.

Abstract: Disclosed is a solution that tags and stores video, audio, pictures, text, and other content, along with their associated metadata to allow for contextual retrieval and customized playback of stored content.

Abstract: Disclosed is a solution that tags and stores video, audio, pictures, text, and other content, along with their associated metadata to allow for contextual retrieval and customized playback of stored content.

Abstract: Disclosed is a solution that tags and stores video, audio, pictures, text, and other content, along with their associated metadata to allow for contextual retrieval and customized playback of stored content.

Abstract: Techniques are described for interacting with a nature inspired virtual environment to present information to the user. The information can be presented to the user by using a collection of icons in the virtual environment. The virtual environment and the collection of icons can resemble a scene from nature. As a result, the additional information is presented to the user without disrupting the visual appearance of the nature inspired virtual environment.

Abstract: A system is described for providing a virtual environment corresponding to a scene from nature. The virtual environment can be used to present performance metrics to a user. In some examples, the virtual environment can be a pond where performance metrics are represented using lily pads. The visual appearance of the lily pad can be dependent on metadata of the corresponding performance metric and the lily pads can be grouped according to how the performance metrics are grouped in the database.

Abstract: A business management system for visualizing transactional data objects in real time is provided. An example system accesses a stream of transactional data objects and generates a in a three-dimensional graphical paradigm. A viewer may manipulate the presentation of the transactional data objects by engaging gestures and visual controls that may be provided on a display screen.

Abstract: Disclosed is a solution that tags and stores video, audio, pictures, text, and other content, along with their associated metadata to allow for contextual retrieval and customized playback of stored content.

Abstract: Techniques are described for interacting with a nature inspired virtual environment to present information to the user. The information can be presented to the user by using a collection of icons in the virtual environment. The virtual environment and the collection of icons can resemble a scene from nature. As a result, the additional information is presented to the user without disrupting the visual appearance of the nature inspired virtual environment.

Abstract: A system is described for providing a virtual environment corresponding to a scene from nature. The virtual environment can be used to present performance metrics to a user. In some examples, the virtual environment can be a pond where performance metrics are represented using lily pads.

Abstract: A collaborative environment adapts to and anticipates users' needs based on presence of participants, proximity, context, in order to facilitate interaction among participants. An aspect of the collaborative environment includes multifactor user recognition.

Abstract: A business management system for visualizing transactional data objects in real time is provided. An example system accesses a stream of transactional data objects and generates a in a three-dimensional graphical paradigm. A viewer may manipulate the presentation of the transactional data objects by engaging gestures and visual controls that may be provided on a display screen.

Abstract: A cholesterol efflux assay probe formulation having a core comprised of a biocompatible hydrophobic material at least partially coated with a sphingomyelin/cholesterol layer, methods of making and methods of using are described.

Abstract: Pharmaceutical compounds and compositions are provided which are methylenedioxy phenolic compounds and their derivatives, along with methods of making them and methods of using them for therapeutic purposes. The compounds and compositions are advantageous in that they can be used to treat or prevent cardiovascular disease, vascular disease and/or inflammatory disease, as well as Type I and Type II Diabetes and Dyslipidemia patients at risk for hypertension, stroke, cardiovascular and renal disease.