Siemens Aktiengesellschaft

Siemens Healthcare Gmbh

Bayerische Motoren Werke Aktiengesellschaft

Ludwig-maxmilians-universitat

Martin Kramer

Puneet Sharma

Shaohua Kevin Zhou

Lucian Mihai Itu

David D Liu

Michael Suehling

Grzegorz Soza

Sascha Seifert

Andreas Biesdorf

Christoph Brand

Viorel Mihalef

Andreas Wimmer

Christian Tietjen

Olivier Pauly

Michael Sühling

Simon Scoffin

Tobias Strobel

Sandeep Krishnan

Girish Suryanarayana

Pravin Kumar

Puneet Shukla

Marisa Petri

Matthias Hammon

Peter Dankerl

Uwe Hohenstein

Klym Shumaiev

Manoj Mahabaleshwar

A system and method for managing software services is provided. The method includes receiving a query from a client device, by a processing unit, for accessing software package corresponding to at least one building block stored in a repository, wherein the building block is a software component associated with a software service, configured for reuse in a plurality of engineering applications. The method further includes identifying the software package corresponding to the building block from the repository based on the query. The method further includes providing access to the software package corresponding to the building block, on the client device, through an integrated development environment.

System and method for managing software services in building customized software

A parking assistance system is remote-controlled for automated parking and exiting from a parking space. The parking assistance system has a receiver for receiving a movement direction of the vehicle selected by the user. A control device which is coupled to the receiver is configured to decide independently, without the user making any specification about the presence of a parking situation or parking-space-exiting situation, whether there is a parking situation or parking-space-exiting situation. If the control device decides that the parking situation is present, the vehicle is parked in the parking space in accordance with the received selected movement direction by forward driving or driving in reverse. Otherwise, if the control device decides that the parking-space-exiting situation is present, the vehicle is made to exit the parking space in accordance with the received selected movement direction by forward driving or driving in reverse.

Remote-controlled parking assistance system with autonomous decision about the presence of a parking or parking-space-exiting situation and corresponding parking method

In order to improve the development, design and/or deployment of the complex embedded or the cyber-physical systems and in particular the complex software architectures being included and/or used therein of the different technical domains it is proposed a sophisticated expertise or tool-significant Measure Recommendation System. This Measure Recommendation System, particularly formed by the Computer-Program-Product, is tailored to determine and provide appropriate measures to effectively improve the decision-making process during the design, development and/or deployment of the systems of the different technical domains by automatically providing Measure Determining Vectors.

Method and computer-program-product determining measures for the development, design and/or deployment of complex embedded or cyber-physical systems, in particular complex software architectures used therein, of different technical domains

Display screen or portion thereof with a graphical user interface

An estimation of arterial wall properties is provided. A method for determining a wall property of an artery such as an aorta includes acquiring patient data and extracting physical data from the patient data. The physical data is applied to a blood flow model of the aorta to obtain an individual blood flow model. The wall property of the artery is directly or indirectly determined from the individual blood flow model.

Determining arterial wall property with blood flow model

In order to compare high-dimensional, multi-modal data for a patient to data for other patients, deep learning is used to encode original, multi-modal data for a patient into a compact signature. The compact signature is compared to predetermined compact signatures generated for other patients, and similar predetermined compact signatures are identified based on the comparison. A clinical outcome may be predicted based on the similar predetermined compact signatures that are identified.

Case-based reasoning in the cloud using deep learning

A method for automatically identifying a potential pleural effusion in medical image data of a thorax of a patient from a scan by means of a medical scanner is provided. It includes at least the steps of accepting rib cage detection data of the rib cage of the patient from the image data, which rib cage detection data include rib cage extent data of a rib cage extent of the interior of the rib cage, accepting lung detection data of the lung of the patient from the image data, which lung detection data comprise lung extent data of a lung extent of the external boundary of the lung, accepting mediastinum detection data of all organs of the mediastinum in the thorax (Th) of the patient from the image data, which mediastinum detection data comprise mediastinum extent data of a mediastinum extent of the external boundary of the mediastinum, and subtracting the lung extent and the mediastinum extent from the rib cage extent while forming pleural effusion identification data.

Automatic identification of a potential pleural effusion

For therapy response assessment, texture features are input for machine learning a classifier and for using a machine learnt classifier. Rather than or in addition to using formula-based texture features, data driven texture features are derived from training images. Such data driven texture features are independent analysis features, such as features from independent subspace analysis. The texture features may be used to predict the outcome of therapy based on a few number of or even one scan of the patient.

Early therapy response assessment of lesions

A method is disclosed for assigning measurement data of a body of a patient to information data related to the same body. The method includes providing annotated measurement data, providing annotated information data, translating the first group of annotations into a first group of universal annotations and the second group of annotations into a second group of universal medical annotations in a universal annotation ontology management system, comparing the universal annotations of the first group of universal annotations with the universal annotations of the second group of universal annotations, and assigning the universal annotations to each other. An assignment system and a universal annotation ontology management system are also disclosed.

Assignment of measurement data to information data

Methods and device are disclosed for data retrieval. At first images and reports are analyzed by respective parser units to detect both structures and text passages that are related to respective structures and text passages of a knowledge data-base. The detected structures and text passages are stored together with a unique resource located that identifies the respective structure and/or text passage at the knowledge database in a semantic annotation database. In addition a feature extraction can be performed to provide specific features of the images and/or regions of the images, whereby the features are stored in an image feature database. Finally an input query can ask questions that are used to provide a result to the query based on the semantic annotation database and the image feature database. The methods and devices may be used for data preparation and data retrieval of medical images and associated medical reports.

Methods and devices for data retrieval

Growing community of inventors

Erlangen, Germany

Martin Kramer