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Friedrich-Alexander-Universität Department Artificial Intelligence in Biomedical Engineering
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  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Artificial Intelligence in Biomedical Engineering
Friedrich-Alexander-Universität Department Artificial Intelligence in Biomedical Engineering
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Lectures

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Lectures

Explore the diverse spectrum of learning opportunities offered by AIBE, covering an extensive array of Artificial Intelligence applications in Biomedical Engineering. This semester, our labs are offering the following lectures, seminars and courses:

Image: TF FAU | FATHER&SUN

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  • AI Fundamentals I
  • Fantastic datasets and where to find them
  • Kolloquium Artificial Intelligence in Communication Disorders
  • Kolloquium Biosignals in Communication Disorders
  • Human-Robot Co-Adaptation, Theory
  • Logic and Symbolic Artificial Intelligence, Theory
  • AI Perspectives
  • SciCom: The Fascination of Assistive Devices
  • Hands on Rehabilitation and Assistive Robotics
  • Human-Robot Co-Adaptation, Exercises
  • Logic and Symbolic Artificial Intelligence, Exercises
  • Algorithmic Bioinformatics
  • Network Medicine
  • Kolloquium Biomedical Network Science
  • Projekt Biomedical Network Science
  • Computational Complexity Lecture
  • Computational Magnetic Resonance Imaging Vorlesung
  • Machine Learning in MRI
  • Magnetic Resonance Imaging sequence programming [MRIpulseq]
  • Kolloquium Computational Imaging
  • Kolloquium Magnetic Resonance Imaging
  • Computational Imaging Project
  • Computational Complexity Exercise
  • Computational Magnetic Resonance Imaging Uebung
  • Algorithms, Programming and Data Representation
  • Advanced Machine Learning for Anomaly Detection
  • Seminar Humans in the Loop: The Design of Interactive AI Systems
  • Project Representation Learning
  • Computer Exercise to Algorithms, Programming and Data Representation
  • Exercise to Algorithms, Programming and Data Representation
  • Machine Learning for Engineers II: Advanced Methods
  • Machine Learning for Engineers I: Introduction to Methods and Tools
  • Best Practices in Open Science
  • AI and Digitalization in Healthcare
  • Seminar Advances in Deep Learning for Time Series
  • Digital Health Psychology
  • Seminar AI to Advance Healthcare and Clinical Research
  • Kolloquium im Bereich Maschinelles Lernen und Datenanalytik
  • PsychoSense Colloquium
  • Projekt Maschinelles Lernen und Datenanalytik
  • Movement Neuroscience: Connections between the Brain and Muscles in Humans
  • MindMove: Real-Time Decoding of Neural Signals into Movement Intent
  • Seminar on Wearable Devices For Sensing the Neural Control of Movement (MyoDesign)
  • Human-Machine Touch Laboratory: Exploring Sensorimotor Interfaces
  • Interfacing the Neuromuscular System: Laboratory
  • Neuroengineering Laboratory
  • Algorithmen und Datenstrukturen (für Medizintechnik) (GOP)
  • Build your own auditory brain-computer-interface
  • Kolloquium Neurotechnology
  • Neurotechnology Project
  • Algorithmen und Datenstrukturen (für Medizintechnik) Rechnerübung (GOP)
  • Algorithmen und Datenstrukturen (für Medizintechnik) Tafelübung (GOP)
  • AI in Medical Robotics
  • Robotik in der Medizintechnik
  • Seminar Cognitive Surgical Robotics
  • Seminar Surgical Robotics Hardware
  • Seminar Surgical Robotics Software
  • Research Project on Surgical Robotics
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