Abstract: A value indicative of an ejection fraction, EF, of a cardiac chamber of a heart is based on a temporal sequence of cardiac magnetic resonance, CMR, images of the cardiac chamber. A neural network system has an input layer configured to receive the temporal sequence of a stack of slices of the CMR images along an axis of the heart. The temporal sequence is one or multiple consecutive cardiac cycles of the heart. The neural network system has an output layer configured to output the value indicative of the EF based on the temporal sequence. The neural network system has interconnections between the input layer and the output layer and is trained with a plurality of datasets. Each of the datasets comprises an instance temporal sequence of the stack of slices of the CMR images along the axis over one or multiple consecutive cardiac cycles for the input layer and an associated instance value indicative of the EF for the output layer.

Abstract: In some examples, a secure compliance protocol may include a virtual computing instance (VCI) deployed on a hypervisor and may be provisioned with hardware computing resources. In some examples the VCI may also include a cryptoprocessor to provide cryptoprocessing to securely communicate with a plurality of nodes, and a plurality of agents to generate a plurality of compliance proofs; the VCI may communicate with a server corresponding to a node of the plurality of nodes; and receive a time stamp corresponding to at least one compliance proof based on a metric of a connected device.

Abstract: A machine-learned model classifies disease, such as a CVD type or sub-type. After identifying a link between the pathology (e.g., CVD type or sub-type) and one or more functional and/or anatomical characteristics, machine learning is performed to learn to predict the functional and/or anatomical characteristics from medical data. The trained model is then adapted using few-shot learning to predict the class of disease. As a result of this few-shot learning approach, less training data may be needed for disease classification. A greater number of classifiers trained to classify a greater number of diseases may be created.

Abstract: A technique for determining a cardiac metric from rest and stress perfusion cardiac magnetic resonance (CMR) images is provided. A neural network system for determining at least one cardiac metric from CMR images comprises an input layer configured to receive at least one CMR image representative of a rest perfusion state and at least one CMR image representative of a stress perfusion state. The neural network system further comprises an output layer configured to output at least one cardiac metric based on the at least one CMR image representative of the rest perfusion state and the at least one CMR image representative of the stress perfusion state. The neural network system with interconnections between the input layer and the output layer is trained by a plurality of datasets.

Abstract: Systems and methods are provided for performing burst packet preloading for Available Bandwidth (ABW) estimation, that may include: preparing a chirp train to be used for ABW estimation, the chirp train comprising a quantity of original probe packets; determining a quantity of additional probe packets that will transition the network path from a short-term mode into a long-term mode; inserting the determined quantity of additional probe packets at the beginning of the chirp train; and transmitting the chirp train, including the determined quantity of additional probe packets on the network path, to a receiver that can perform ABW estimation of the network path.

Abstract: A method includes processing at least one input dataset (using a multi-level processing algorithm, one or more of the at least one input dataset comprising imaging data of an echocardiography of a cardiovascular system of a patient. The multi-level processing algorithm comprises a multi-task level and a consolidation-task level. An input of the consolidation-task level is coupled to an output of the multi-task level. The multi-task level is configured to determine multiple diagnostic metrics of the cardiovascular system based on the at least one input dataset. The consolidation-task level is configured to determine a fitness of the cardiovascular system of the patient.

Abstract: The application relates to a computer implemented method for determining a basal and an apex plane in a set of Magnetic Resonance, MR, image slices of a heart, wherein the set of MR image slices comprises short axis views of the heart obtained over the heartbeat. The set of MR image slices is applied to a multitask deep learning artificial intelligence Model which is configured to identify a basal plane slice and an apex plane slice on the applied set of image slices, wherein the multitask deep learning artificial intelligence model is further configured to determine at least one further parameter of cardiac anatomy or of a cardiac function. A first output of the multitask deep learning artificial intelligence Model is determined as the apex plane slice and a second output as the basal plane slice. At least one further output of the multitask deep learning artificial intelligence Model is determined as the at least one further parameter of the cardiac anatomy or of the cardiac function.

Abstract: An optical network includes top networking ports coupled to a packet switch, first media converters, second media converters, and bottom networking ports. The first media converters are coupled to top networking ports, each of the first media converters including a first ASIC transceiver that has a circuit switch function. The second media converters are coupled to the first media converter via optical cables to receive the optical signals. Each of the second media converters includes a second ASIC transceiver that has a circuit switch function. The bottom networking ports are coupled to the second media converters. The first ASIC transceiver and the second ASIC transceiver are configured to transmit a signal from one of the top networking ports to any one of the bottom networking ports, and transmit a signal from one of the bottom networking ports to any one of the top networking ports.

Abstract: Techniques and architectures for measuring available bandwidth. A train of probe packets is received from a remote electronic device. A network transmission delay for at least two packets from the train of probe packets is measured. Network congestion is estimated utilizing the at least two packets from the train of probe packets. An estimated available bandwidth is computed based on the network transmission and estimated network congestion. One or more network transmission characteristics are modified based on the estimated available bandwidth.

Abstract: In some examples, a secure compliance protocol may include a virtual computing instance (VCI) deployed on a hypervisor and may be provisioned with hardware computing resources. In some examples the VCI may also include a cryptoprocessor to provide cryptoprocessing to securely communicate with a plurality of nodes, and a plurality of agents to generate a plurality of compliance proofs; the VCI may communicate with a server corresponding to a node of the plurality of nodes; and receive a time stamp corresponding to at least one compliance proof based on a metric of a connected device.

Abstract: Determination of an inflection point in congestion in a network path can include determining packet congestion on a network path using an inflection point mechanism (IPDM), detecting a potential inflection point in response to a one-way delay (OWD) of a first packet being lesser than an OWD of a second packet by a quantity greater than a function of a difference of inter departure time (IDT) between the first packet and the second packet, and determining an inflection point in congestion of the network path based on the potential inflection point.

Abstract: An example network orchestrator includes processing circuitry and a memory. The memory includes instructions that cause the network orchestrator to receive network probe information including delay times of network probes associated with a set of flows between devices. The instructions further cause the network orchestrator to generate a correlation matrix including correlations representing shared congested links between pairs of flows. The instructions further cause the network orchestrator to for each flow of the set of flows, determine a routing solution optimized for the each flow and select a total minimum cost solution from the determined routing solutions.

Abstract: Methods, systems and computer program products for facilitating use of select hyper-local data sets for improved modeling are provided. Aspects include receiving customer data associated with a customer by a workbench platform and determining an accuracy of a customer model using the customer data. For each of a plurality of hyper-local data sets, aspects also include determining an increase in model accuracy based on use of the hyper-local data set and the customer data. Aspects include identifying at least one group of hyper-local data sets of the plurality of hyper-local data sets that result in similar increases in model accuracy. Aspects also include facilitating use of a selected one or more of the hyper-local data sets of the at least one group of hyper-local data sets in generating an improved accuracy customer model.

Abstract: Systems and methods for generating a synthesized contrast enhanced medical image are provided. An input medical image is received. A synthesized contrast enhanced medical image is generated based on the input medical image using a trained machine learning based generator network. The synthesized contrast enhanced medical image includes one or more synthesized contrast enhanced regions of pathological tissue. The synthesized contrast enhanced medical image is output.

Abstract: A computer-implemented method for personalized assessment of patients with acute coronary syndrome (ACS) includes extracting (i) patient-specific coronary geometry data from one or more medical images of a patient; (ii) a plurality of features of a patient-specific coronary arterial tree based on the patient-specific coronary geometry data; and (iii) a plurality of ACS-related features from additional patient measurement data. A surrogate model is used to predict patient-specific hemodynamic measures of interest related to ACS based on the plurality of features of the patient-specific coronary arterial tree and the plurality of ACS-related features from the additional patient measurement data.

Abstract: Systems and methods are provided for optimally allocating resources used to perform multiple tasks/jobs, e.g., machine learning training jobs. The possible resource configurations or candidates that can be used to perform such jobs are generated. A first batch of training jobs can be randomly selected and run using one of the possible resource configuration candidates. Subsequent batches of training jobs may be performed using other resource configuration candidates that have been selected using an optimization process, e.g., Bayesian optimization. Upon reaching a stopping criterion, the resource configuration resulting in a desired optimization metric, e.g., fastest job completion time can be selected and used to execute the remaining training jobs.

Abstract: Systems and methods are provided for available network bandwidth estimation using a one-way-delay noise filter with bump detection. The method includes receiving one-way delay measurements for each probe packet in a probe train sent over the telecommunications path; grouping the probe packets into a plurality of pairs based on the one-way delay measurements; for each pair, computing a respective noise threshold based on the one-way delay measurements of all the probe packets transmitted after a later-transmitted probe packet of the pair; selecting one of the pairs according to the noise thresholds and the one-way delay measurements for the probe packets of the pairs; and estimating the available bandwidth on the telecommunications path based on transmission times of the probe packets in the selected pair.

Abstract: A method of generating a first image from a medical text report comprises acquiring a medical text report comprising one or more natural language statements; analysing the medical text report, using a computer-implemented analysis process, to determine for each natural language statement whether the statement satisfies a predetermined criterion with respect to a first medical finding; and responsive to a determination that a said statement satisfies the predetermined criterion, adding an image representing the first medical finding to an image template, to generate the first image. Also disclosed is an apparatus and computer program.

Abstract: A computer-implemented method includes identifying a plurality of hyperlinks on a first webpage. The computer-implemented method further includes determining, for each hyperlink in the plurality of hyperlinks, a degree of likelihood that a user will select a given hyperlink in the plurality of hyperlinks. The computer-implemented method further includes initiating a first bid request for a first ad space for a second webpage that is accessible by a first hyperlink in the plurality of hyperlinks based on the first hyperlink having a degree of likelihood above a given threshold level. The computer-implemented method further includes determining a selection of the first hyperlink by the user. The computer-implemented method further includes displaying a first advertisement associated with a first winning bid on the second webpage. A corresponding computer system and computer program product are also disclosed.

Abstract: Techniques and architectures for measuring available bandwidth. A train of probe packets is received from a remote electronic device. A received time for a first subset of the train of probe packets is measured. A change in capacity of the network path is determined based on the measured received time for the first subset of packets. Packets from the train of probe packets prior to the detected change in capacity of the network path are excluded to identify a second subset of packets. An estimated available bandwidth is computed based on the second subset of packets from the train of probe packets.