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Julius Hannink
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2020 – today
- 2023
- [c7]Hamid Moradi
, Julius Hannink, Sabine Stallforth, Till Gladow, Stefan Ringbauer, Martin Mayr, Jürgen Winkler, Jochen Klucken
Monitoring medication optimization in patients with Parkinson's disease. EMBC 2023: 1-4 - 2020
- [j13]Marija D. Ivanovic
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design. Artif. Intell. Medicine 110: 101963 (2020) - [j12]Martin Ullrich
Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies. IEEE J. Biomed. Health Informatics 24(7): 1869-1878 (2020)
2010 – 2019
- 2019
- [b1]Julius Hannink:
Mobile gait analysis: from prototype towards clinical grade wearable. University of Erlangen-Nuremberg, Germany, 2019, ISBN 978-3-96147-172-0, pp. 1-227 - [j11]Nooshin Haji Ghassemi, Julius Hannink
Turning Analysis during Standardized Test Using On-Shoe Wearable Sensors in Parkinson's Disease. Sensors 19(14): 3103 (2019) - [c6]Martin Ullrich, Julius Hannink, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier
Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease. BHI 2019: 1-4 - 2018
- [j10]Juan Rafael Orozco-Arroyave
NeuroSpeech: An open-source software for Parkinson's speech analysis. Digit. Signal Process. 77: 207-221 (2018) - [j9]Nooshin Haji Ghassemi, Julius Hannink
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease. Sensors 18(1): 145 (2018) - [j8]Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa
NeuroSpeech. SoftwareX 8: 69-70 (2018) - [j7]Julius Hannink
Mobile Stride Length Estimation With Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 22(2): 354-362 (2018) - [c5]Christine F. Martindale
Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data. PerCom Workshops 2018: 549-554 - 2017
- [j6]Thomas Kautz, Benjamin H. Groh, Julius Hannink
Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports. Data Min. Knowl. Discov. 31(6): 1678-1705 (2017) - [j5]Felix Kluge
Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters. Sensors 17(7): 1522 (2017) - [j4]Julius Hannink
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. Sensors 17(9): 1940 (2017) - [j3]Julius Hannink
Sensor-Based Gait Parameter Extraction With Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 21(1): 85-93 (2017) - [c4]Julius Hannink, Felix Kluge
Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests. BSN 2017: 129-132 - [c3]Juan Camilo Vásquez-Correa
Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. ICASSP 2017: 2966-2970 - [c2]Milos Cernak, Elmar Nöth, Frank Rudzicz
On the impact of non-modal phonation on phonological features. ICASSP 2017: 5090-5094 - 2016
- [j2]Remco Duits
Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging. J. Math. Imaging Vis. 56(3): 367-402 (2016) - [j1]Bart M. ter Haar Romeny
Brain-inspired algorithms for retinal image analysis. Mach. Vis. Appl. 27(8): 1117-1135 (2016) - [i3]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein
Stride Length Estimation with Deep Learning. CoRR abs/1609.03321 (2016) - [i2]Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier:
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. CoRR abs/1609.03323 (2016) - 2014
- [c1]Julius Hannink
Crossing-Preserving Multi-scale Vesselness. MICCAI (2) 2014: 603-610 - [i1]Julius Hannink, Remco Duits, Erik J. Bekkers:
Vesselness via Multiple Scale Orientation Scores. CoRR abs/1402.4963 (2014)
Coauthor Index
aka: Bjoern M. Eskofier
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