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Julius Hannink
Titolo
Citata da
Citata da
Anno
Sensor-based gait parameter extraction with deep convolutional neural networks
J Hannink, T Kautz, CF Pasluosta, KG Gaßmann, J Klucken, BM Eskofier
IEEE journal of biomedical and health informatics 21 (1), 85-93, 2016
1842016
Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports
T Kautz, BH Groh, J Hannink, U Jensen, H Strubberg, BM Eskofier
Data Mining and Knowledge Discovery 31, 1678-1705, 2017
1772017
Towards mobile gait analysis: concurrent validity and test-retest reliability of an inertial measurement system for the assessment of spatio-temporal gait parameters
F Kluge, H Gaßner, J Hannink, C Pasluosta, J Klucken, BM Eskofier
Sensors 17 (7), 1522, 2017
1442017
Mobile stride length estimation with deep convolutional neural networks
J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ...
IEEE journal of biomedical and health informatics 22 (2), 354-362, 2017
1352017
Mobile stride length estimation with deep convolutional neural networks
J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ...
IEEE journal of biomedical and health informatics 22 (2), 354-362, 2017
1352017
NeuroSpeech: An open-source software for Parkinson's speech analysis
JR Orozco-Arroyave, JC Vásquez-Correa, JF Vargas-Bonilla, R Arora, ...
Digital Signal Processing 77, 207-221, 2018
1262018
Segmentation of gait sequences in sensor-based movement analysis: a comparison of methods in Parkinson’s disease
N Haji Ghassemi, J Hannink, CF Martindale, H Gaßner, M Müller, ...
Sensors 18 (1), 145, 2018
1002018
Crossing-preserving multi-scale vesselness
J Hannink, R Duits, E Bekkers
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
472014
Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson’s disease
A Nguyen, N Roth, NH Ghassemi, J Hannink, T Seel, J Klucken, ...
Journal of neuroengineering and rehabilitation 16, 1-14, 2019
422019
Detection of gait from continuous inertial sensor data using harmonic frequencies
M Ullrich, A Küderle, J Hannink, S Del Din, H Gassner, F Marxreiter, ...
IEEE Journal of Biomedical and Health Informatics 24 (7), 1869-1878, 2020
372020
Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease
JC Vasquez-Correa, JR Orozco-Arroyave, R Arora, E Nöth, N Dehak, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
372017
Benchmarking foot trajectory estimation methods for mobile gait analysis
J Hannink, M Ollenschläger, F Kluge, N Roth, J Klucken, BM Eskofier
Sensors 17 (9), 1940, 2017
362017
Brain-inspired algorithms for retinal image analysis
BM ter Haar Romeny, EJ Bekkers, J Zhang, S Abbasi-Sureshjani, ...
Machine Vision and Applications 27, 1117-1135, 2016
352016
Pre-operative sensor-based gait parameters predict functional outcome after total knee arthroplasty
F Kluge, J Hannink, C Pasluosta, J Klucken, H Gaßner, K Gelse, ...
Gait & Posture 66, 194-200, 2018
342018
Locally adaptive frames in the roto-translation group and their applications in medical imaging
R Duits, MHJ Janssen, J Hannink, GR Sanguinetti
Journal of Mathematical Imaging and Vision 56, 367-402, 2016
332016
Turning analysis during standardized test using on-shoe wearable sensors in Parkinson’s disease
N Haji Ghassemi, J Hannink, N Roth, H Gaßner, F Marxreiter, J Klucken, ...
Sensors 19 (14), 3103, 2019
242019
Stride length estimation with deep learning
J Hannink, T Kautz, CF Pasluosta, J Barth, S Schülein, KG Gaßmann, ...
arXiv preprint arXiv:1609.03321, 2016
192016
Smart annotation tool for multi-sensor gait-based daily activity data
CF Martindale, N Roth, J Hannink, S Sprager, BM Eskofier
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
182018
Acute neuromuscular adaptations in the postural control of patients with Parkinson’s disease after perturbed walking
CF Pasluosta, S Steib, S Klamroth, H Gaßner, J Goßler, J Hannink, ...
Frontiers in aging neuroscience 9, 316, 2017
142017
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
MD Ivanović, J Hannink, M Ring, F Baronio, V Vukčević, L Hadžievski, ...
Artificial Intelligence in Medicine 110, 101963, 2020
112020
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