Julius Hannink

According to our database1, Julius Hannink authored at least 20 papers between 2014 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
Mobile gait analysis: from prototype towards clinical grade wearable.
PhD thesis, 2019

Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson's Disease.
Sensors, 2019

Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
Mobile Stride Length Estimation With Deep Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2018

Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.
Sensors, 2018

NeuroSpeech: An open-source software for Parkinson's speech analysis.
Digit. Signal Process., 2018

Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

2017
Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2017

Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters.
Sensors, 2017

Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.
Sensors, 2017

Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports.
Data Min. Knowl. Discov., 2017

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

On the impact of non-modal phonation on phonological features.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests.
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017

2016
Brain-inspired algorithms for retinal image analysis.
Mach. Vis. Appl., 2016

Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging.
J. Math. Imaging Vis., 2016

Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks.
CoRR, 2016

Stride Length Estimation with Deep Learning.
CoRR, 2016

2014
Vesselness via Multiple Scale Orientation Scores.
CoRR, 2014

Crossing-Preserving Multi-scale Vesselness.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014


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