Michael Munz

Orcid: 0000-0003-3427-3827

Affiliations:
  • Ulm University of Applied Sciences, Institute for Medical Engineering and Mechatronic, Germany
  • Ulm University, Institute of Measurement, Control, and Microtechnology, Germany (PhD 2010)


According to our database1, Michael Munz authored at least 21 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Automatability and validity of methods for the quantification of intra-/Intermuscular adipose tissue in conventional MRI: a systematic review.
BMC Medical Imaging, December, 2025

Sawtooth Sampling for Time Series Denoising Diffusion Implicit Models.
CoRR, November, 2025

GAITEX: Human motion dataset from impaired gait and rehabilitation exercises of inertial and optical sensor data.
CoRR, July, 2025

Boosting Automatic Exercise Evaluation Through Musculoskeletal Simulation-Based IMU Data Augmentation.
CoRR, May, 2025

Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs.
CoRR, May, 2025

Optimizing training of time series diffusion models via similarity score functions: application to cyclic and acyclic motion with IMU data.
Frontiers Artif. Intell., 2025

2024
IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems.
CoRR, 2024

Towards Explainable Visual Vessel Recognition Using Fine-Grained Classification and Image Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures.
Sensors, 2023

Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents.
CoRR, 2023

2021
Deep Convolutional and LSTM Networks on Multi-Channel Time Series Data for Gait Phase Recognition.
Sensors, 2021

Novel Approach To Synchronisation Of Wearable IMUs Based On Magnetometers.
CoRR, 2021

2020
Analysis of Gait-Event-related Brain Potentials During Instructed And Spontaneous Treadmill Walking - Technical Affordances and used Methods.
CoRR, 2020

2013
Real-Time Multi-Object Tracking using Random Finite Sets.
IEEE Trans. Aerosp. Electron. Syst., 2013

2012
Impact of out-of-sequence measurements on the joint integrated probabilistic data association filter for vehicle safety systems.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Using grid maps to reduce the number of false positive measurements in advanced driver assistance systems.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

2011
Using Dempster-Shafer-based modeling of object existence evidence in sensor fusion systems for advanced driver assistance systems.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2010
Generic Centralized Multi Sensor Data Fusion Based on Probabilistic Sensor and Environment Models for Driver Assistance Systems.
IEEE Intell. Transp. Syst. Mag., 2010

Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2010

Generalized fusion of heterogeneous sensor measurements for multi target tracking.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
A sensor independent probabilistic fusion system for driver assistance systems.
Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009


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