Crossing-Preserving Multi-scale Vesselness. - Julius Hannink; Remco Duits; Erik J. Bekkers (MICCAI (2), 2014)

Vesselness via Multiple Scale Orientation Scores. - Julius Hannink; Remco Duits; Erik J. Bekkers (CoRR, 2014)

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)

Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks. - Julius Hannink; Thomas Kautz; Cristian F. Pasluosta; Jochen Klucken; Björn M. Eskofier (CoRR, 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)

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; et al. (Mach. Vis. Appl., 2016)

Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests. - Julius Hannink; Felix Kluge 001; Heiko Gassner; Jochen Klucken; Björn M. Eskofier (BSN, 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; et al. (ICASSP, 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; et al. (ICASSP, 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)

Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis. - Julius Hannink; Malte Ollenschläger; Felix Kluge 001; Nils Roth; Jochen Klucken; Björn M. Eskofier (Sensors, 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 001; Heiko Gassner; Julius Hannink; Cristian F. Pasluosta; Jochen Klucken; Björn M. Eskofier (Sensors, 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)

Smart Annotation Tool for Multi-sensor Gait-based Daily Activity Data. - Christine F. Martindale; Nils Roth; Julius Hannink; Sebastijan Sprager; Björn M. Eskofier (PerCom Workshops, 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; et al. (Digit. Signal Process., 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. - 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; et al. (SoftwareX, 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)

Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease. - Martin Ullrich; Julius Hannink; Heiko Gaßner; Jochen Klucken; Björn M. Eskofier; Felix Kluge 001 (BHI, 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)

Mobile gait analysis: from prototype towards clinical grade wearable. - Julius Hannink (2019)

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)

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 001 (IEEE J. Biomed. Health Informatics, 2020)

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 (EMBC, 2023)