Julius Hannink

According to our database, Julius Hannink authored at least 24 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Monitoring medication optimization in patients with Parkinson's disease.

Hamid Moradi, Julius Hannink, Sabine Stallforth, Till Gladow, Stefan Ringbauer, Martin Mayr, Jürgen Winkler, Jochen Klucken, Bjoern M. Eskofier

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2020

Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies.

Martin Ullrich, Arne Küderle, Julius Hannink, Silvia Del Din, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier, Felix Kluge

IEEE J. Biomed. Health Informatics, 2020

Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design.

Marija D. Ivanovic, Julius Hannink, Matthias Ring, Fabio Baronio, Vladan Vukcevic, Ljupco Hadzievski, Bjoern M. Eskofier

Artif. Intell. Medicine, 2020

2019

Mobile gait analysis: from prototype towards clinical grade wearable.

Julius Hannink

PhD thesis, 2019

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

Nooshin Haji Ghassemi, Julius Hannink, Nils Roth, Heiko Gassner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier

Sensors, 2019

Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease.

Martin Ullrich, Julius Hannink, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Mobile Stride Length Estimation With Deep Convolutional Neural Networks.

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Björn M. Eskofier

IEEE J. Biomed. Health Informatics, 2018

NeuroSpeech.

Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Raman Arora, Najim Dehak, Phani S. Nidadavolu, Heidi Christensen, Frank Rudzicz, Maria Yancheva, Hamid R. Chinaei, Alyssa Vann, Nikolai Vogler, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth

SoftwareX, 2018

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

Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gassner, Meinard Müller, Jochen Klucken, Björn M. Eskofier

Sensors, 2018

NeuroSpeech: An open-source software for Parkinson's speech analysis.

Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Raman Arora, Najim Dehak, Phani S. Nidadavolu, Heidi Christensen, Frank Rudzicz, Maria Yancheva, Hamid R. Chinaei, Alyssa Vann, Nikolai Vogler, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth

Digit. Signal Process., 2018

Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data.

Christine F. Martindale, Nils Roth, Julius Hannink, Sebastijan Sprager, Björn M. Eskofier

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.

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Karl-Gunter Gasmann, Jochen Klucken, Björn M. Eskofier

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.

Felix Kluge, Heiko Gassner, Julius Hannink, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier

Sensors, 2017

Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.

Julius Hannink, Malte Ollenschläger, Felix Kluge, Nils Roth, Jochen Klucken, Björn M. Eskofier

Sensors, 2017

Activity recognition in beach volleyball using a Deep Convolutional Neural Network - Leveraging the potential of Deep Learning in sports.

Thomas Kautz, Benjamin H. Groh, Julius Hannink, Ulf Jensen, Holger Strubberg, Björn M. Eskofier

Data Min. Knowl. Discov., 2017

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease.

Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Raman Arora, Elmar Nöth, Najim Dehak, Heidi Christensen, Frank Rudzicz, Tobias Bocklet, Milos Cernak, Hamid R. Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Maria Yancheva, Alyssa Vann, Nikolai Vogler

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

On the impact of non-modal phonation on phonological features.

Milos Cernak, Elmar Nöth, Frank Rudzicz, Heidi Christensen, Juan Rafael Orozco-Arroyave, Raman Arora, Tobias Bocklet, Hamidreza Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Juan Camilo Vásquez-Correa, Maria Yancheva, Alyssa Vann, Nikolai Vogler

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.

Julius Hannink, Felix Kluge, Heiko Gassner, Jochen Klucken, Björn M. Eskofier

Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017

2016

Brain-inspired algorithms for retinal image analysis.

Bart M. ter Haar Romeny, Erik J. Bekkers, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Remco Duits, Behdad Dashtbozorg, Tos Berendschot, Iris Smit-Ockeloen, Koen A. J. Eppenhof, Jinghan Feng, Julius Hannink, Jan Schouten, Mengmeng Tong, Hanhui Wu, Han J. W. van Triest, Shanshan Zhu, Dali Chen, Wei He, Ling Xu, Ping Han, Yan Kang

Mach. Vis. Appl., 2016

Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging.

Remco Duits, Michiel H. J. Janssen, Julius Hannink, Gonzalo R. Sanguinetti

J. Math. Imaging Vis., 2016

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

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jochen Klucken, Björn M. Eskofier

CoRR, 2016

Stride Length Estimation with Deep Learning.

Julius Hannink, Thomas Kautz, Cristian F. Pasluosta, Jens Barth, Samuel Schülein, Karl-Günter Gaßmann, Jochen Klucken, Björn M. Eskofier

CoRR, 2016

2014

Vesselness via Multiple Scale Orientation Scores.

Julius Hannink, Remco Duits, Erik J. Bekkers

CoRR, 2014

Crossing-Preserving Multi-scale Vesselness.

Julius Hannink, Remco Duits, Erik J. Bekkers

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014