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Projects

Displaying results 31 to 40 of 140.
  1. No-IDLE – Interactive Deep Learning Enterprise

    No-IDLE – Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical doma

  2. MULTI-IMMERSE – MULTI-IMMERSE

    MULTI-IMMERSE – MULTI-IMMERSE

    Severely ill children, who are prohibited from having direct contact with relatives, should be enabled to meet their parents or close caregivers in virtual, lifelike worlds. While healthy children and

  3. curATarget – Atherosklerose-Targets in Thrombo-Inflammation

    curATarget – Atherosklerose-Targets in Thrombo-Inflammation

    Atherosklerose-Targets in Thrombo-Inflammation Partners Universitätsmedizin der Johannes Gutenberg-Universität Mainz TRON - Translationale Onkologie an der Universitätsmedizin der Johannes Gutenberg-U

  4. CurAIvasc – AI-based analysis of vascular imaging

    CurAIvasc – AI-based analysis of vascular imaging

    Cardiovascular diseases are among the most frequent causes of death worldwide. The pathological basis of almost all cardiovascular diseases is atherothrombosis, i.e. atherosclerotic plaque rupture in

  5. BiosignATure – curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose

    BiosignATure – curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose

    curATime: Systemorientierte, Multi-Omics-Identifikation von Biomarkersignaturen für die Detektion, Quantifizierung und Behandlung von Atherothrombose Partners Universitätsmedizin der Johannes Gutenber

  6. CurAISciD – curATime AI science and development

    CurAISciD – curATime AI science and development

    Das erste Ziel von curAIscid ist für den Anwendungsfall Atherothrombose und Atherosklerose dem Problem der kleinen Daten (small data) auf verschiedene Weise zu begegnen: durch Transferlernen (bei dem

  7. RZZKI_SL-RLP-2 – Regionales Zukunftszentren Künstliche Intelligenz Saarland und Rheinland-Pfalz (Folgeprogramm)

    RZZKI_SL-RLP-2 – Regionales Zukunftszentren Künstliche Intelligenz Saarland und Rheinland-Pfalz (Folgeprogramm)

    Future centers (KI); support of small and medium-sized enterprises and employees in the exemplary and participatory testing of new technologies, such as artificial intelligence, for operational practi

  8. SHARESPACE – Embodied Social Experiences in Hybrid Shared Spaces

    SHARESPACE – Embodied Social Experiences in Hybrid Shared Spaces

    SHARESPACE will demonstrate a radically new technology for promoting ethical and social interaction in eXtended Reality (XR) Shared Hybrid Spaces (SHS), anchored in human sensorimotor communication. O

  9. CITAH – Cross-Industry Transformation in Agriculture and Health

    CITAH – Cross-Industry Transformation in Agriculture and Health

    CITAH als European Digital Innovation Hub für die Leitindustrien Agrar- und Ernährungswirtschaft sowie Gesundheitswesen hat sich zum Ziel gesetzt, die digitale Transformation im niedersächsischen Mitt

  10. Medinym – AI-based anonymization of personal patient data in clinical text and voice databases

    Medinym – AI-based anonymization of personal patient data in clinical text and voice databases

    In the Medinym project, we are pursuing the goal of completely anonymising the speaker identity of a speaker, both on voice and on statement/semantic level, without losing emotional or diagnostic info