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Stephan M. Jonas
Person information
- affiliation: Technical University of Munich, Department of Informatics, Germany
- affiliation: RWTH Aachen University, Department of Medical Informatics, Germany
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Books and Theses
- 2014
- [b1]Stephan M. Jonas:
Quantitative imaging of cilia driven fluid flow and mixing. RWTH Aachen University, 2014, pp. 1-17
Journal Articles
- 2024
- [j18]Maximilian Kapsecker, Nikita Charushnikov, Leon Nissen, Stephan M. Jonas:
PeakSwift: Mobile Detection of R-peaks in Single Lead Electrocardiograms. SoftwareX 25: 101608 (2024) - 2023
- [j17]Leon Nissen, Julia Hübner, Jens Klinker, Maximilian Kapsecker, Alexander Leube, Max Schneckenburger, Stephan M. Jonas:
Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles. Sensors 23(9): 4486 (2023) - [j16]Maximilian Kapsecker, Daniel N. Nugraha, Christoph Weinhuber, Nicholas D. Lane, Stephan M. Jonas:
Federated Learning with Swift: An Extension of Flower and Performance Evaluation. SoftwareX 24: 101533 (2023) - 2021
- [j15]Tobias Piotrowski, Oliver Rippel, Andreas Elanzew, Bastian Nießing, Sebastian Stucken, Sven Jung, Niels König, Simone Haupt, Laura Stappert, Oliver Brüstle, Robert H. Schmitt, Stephan M. Jonas:
Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status. Comput. Biol. Medicine 129: 104172 (2021) - [j14]Ekaterina Kutafina, Anne Heiligers, Radomir Popovic, Alexander Brenner, Bernd Hankammer, Stephan M. Jonas, Klaus Mathiak, Jana Zweerings:
Tracking of Mental Workload with a Mobile EEG Sensor. Sensors 21(15): 5205 (2021) - 2020
- [j13]Heiko Waldmüller, Cord Spreckelsen, Hannah Rudat, Norbert Krumm, Roman Rolke, Stephan Michael Jonas:
360-degree Delphi: addressing sociotechnical challenges of healthcare IT. BMC Medical Informatics Decis. Mak. 20(1): 101 (2020) - [j12]Nancy E. ElHady, Stephan M. Jonas, Julien Provost, Veit Senner:
Sensor Failure Detection in Ambient Assisted Living Using Association Rule Mining. Sensors 20(23): 6760 (2020) - 2019
- [j11]Ekaterina Kutafina, Istvan Bechtold, Klaus Kabino, Stephan M. Jonas:
Recursive neural networks in hospital bed occupancy forecasting. BMC Medical Informatics Decis. Mak. 19(1): 39:1-39:10 (2019) - [j10]Ekaterina Kutafina, David Laukamp, Ralf Bettermann, Ulrik Schroeder, Stephan M. Jonas:
Correction: Kutafina, E.; Laukamp, D.; Bettermann, R.; Schroeder, U.; Jonas, S.M. Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. Sensors 2016, 16, 1221. Sensors 19(21): 4792 (2019) - 2018
- [j9]Andreas Burgdorf, Inga Güthe, Marko Jovanovic, Ekaterina Kutafina, Christian Kohlschein, Jó Ágila Bitsch, Stephan M. Jonas:
The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices. Comput. Biol. Medicine 103: 8-16 (2018) - 2017
- [j8]Muhammad Kashif, Stephan M. Jonas, Thomas M. Deserno:
Deterioration of R-Wave Detection in Pathology and Noise: A Comprehensive Analysis Using Simultaneous Truth and Performance Level Estimation. IEEE Trans. Biomed. Eng. 64(9): 2163-2175 (2017) - 2016
- [j7]Muhammad Kashif, Thomas Martin Deserno, Daniel Haak, Stephan M. Jonas:
Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment. Comput. Biol. Medicine 68: 67-75 (2016) - [j6]Ekaterina Sirazitdinova, Stephan M. Jonas, Jan Lensen, Deyvid Kochanov, Richard Houben, Hans Slijp, Thomas M. Deserno:
Towards efficient mobile image-guided navigation through removal of outliers. EURASIP J. Image Video Process. 2016: 43 (2016) - [j5]Stephan M. Jonas, Thomas Martin Deserno, Catalin Sorin Buhimschi, Jennifer Makin, Michael A. Choma, Irina Alexandra Buhimschi:
Smartphone-based diagnostic for preeclampsia: an mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources. J. Am. Medical Informatics Assoc. 23(1): 166-173 (2016) - [j4]Ekaterina Kutafina, David Laukamp, Ralf Bettermann, Ulrik Schroeder, Stephan M. Jonas:
Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. Sensors 16(8): 1221 (2016) - 2015
- [j3]Stephan M. Jonas, Ekaterina Sirazitdinova, Jan Lensen, Deyvid Kochanov, Humaam Mayzek, Tjeu de Heus, Richard Houben, Hans Slijp, Thomas Martin Deserno:
IMAGO: Image-guided navigation for visually impaired people. J. Ambient Intell. Smart Environ. 7(5): 679-692 (2015) - 2014
- [j2]Daniel Haak, Christian Samsel, Johan Gehlen, Stephan M. Jonas, Thomas Martin Deserno:
Simplifying Electronic Data Capture in Clinical Trials: Workflow Embedded Image and Biosignal File Integration and Analysis via Web Services. J. Digit. Imaging 27(5): 571-580 (2014) - 2008
- [j1]Christian Buck, Tobias Gass, Andreas Hannig, Jan Hendrik Hosang, Stephan M. Jonas, Jan-Thorsten Peter, Pascal Steingrube, Jan Henrik Ziegeldorf:
Data-Mining-Cup 2007. Inform. Spektrum 31(6): 591-599 (2008)
Conference and Workshop Papers
- 2024
- [c32]Florian Schweizer, Laura Willinger, Renate Oberhoffer-Fritz, Jan Müller, Stephan M. Jonas, Lara Marie Reimer:
KIJANI: Designing a Physical Activity Promoting Collaborative Augmented Reality Game. dHealth 2024: 113-120 - 2023
- [c31]Hamza Maatouk, Sebastian Uschmann, Sven Festag, Tim Schneider, Anna Weber, Ngo Manh Khoi, Sven Bock, Stephan M. Jonas, Cord Spreckelsen, Friederike Klan:
TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. ICIMTH 2023: 238-239 - [c30]Klaudia Madhi, Lara Marie Reimer, Stephan M. Jonas:
Attribution-based Personas in Virtual Software Engineering Education. SEET@ICSE 2023: 235-246 - [c29]Jens Klinker, Mariana Avezum-Mercer, Stephan M. Jonas:
Improving GPS-Based Mode of Transport Detection in Multi-Modal Trips using Stop Analysis. MOST 2023: 142-151 - [c28]Jens Klinker, Joe Yu, Mariana Avezum-Mercer, Stephan M. Jonas:
Presenting a Statistical Approach for Transforming Standardized German Traffic Surveys into Origin-Destination Matrices. MOST 2023: 177-186 - 2022
- [c27]Céline Madeleine Aldenhoven, Lara Marie Reimer, Stephan M. Jonas:
mBalance: Detect Postural Imbalance with Mobile Devices. dHealth 2022: 30-38 - [c26]Maximilian Kapsecker, Simon Osterlehner, Stephan M. Jonas:
Analysis of Mobile Typing Characteristics in the Light of Cognition. ICDH 2022: 87-95 - 2021
- [c25]Lara Marie Reimer, Severin Weigel, Florian Ehrenstorfer, Malintha Adikari, Wolfgang Birkle, Stephan M. Jonas:
Mobile Motion Tracking for Disease Prevention and Rehabilitation Using Apple ARKit. dHealth 2021: 78-86 - [c24]Lara Marie Reimer, Fabian Starnecker, Heribert Schunkert, Stephan M. Jonas:
Developing an App for Cardiovascular Prevention and Scientific Data Collection. dHealth 2021: 103-104 - [c23]Jens Klinker, Mohamed Hechem Selmi, Mariana Avezum, Stephan M. Jonas:
Introducing a Navigation Algorithm for Reducing the Spread of Diseases in Public Transport Networks. dHealth 2021: 113-121 - 2020
- [c22]Paul Schmiedmayer, Lara Marie Reimer, Marko Jovanovic, Dominic Henze, Stephan M. Jonas:
Transitioning to a Large-Scale Distributed Programming Course. CSEE&T 2020: 1-6 - 2019
- [c21]Daniel Klischies, Christian Kohlschein, Cornelius J. Werner, Stephan M. Jonas:
Evaluation of Deep Clustering for Diarization of Aphasic Speech. dHealth 2019: 81-88 - [c20]Niels von Stein, Jonas Schulte-Coerne, Stephan M. Jonas, Ekaterina Kutafina:
Robust Comparison of Simultaneous EEG Recordings Using Kalman Filters and Gaussian Mixture Models. dHealth 2019: 113-120 - [c19]Marc Haßler, Andreas Burgdorf, André Pomp, Christian Kohlschein, Christina Büsing, Stephan M. Jonas:
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment. HealthCom 2019: 1-4 - 2018
- [c18]Marko Jovanovic, Johannes Seiffarth, Ekaterina Kutafina, Stephan M. Jonas:
Automated Error Detection in Physiotherapy Training. eHealth 2018: 164-171 - [c17]Alexander Brenner, Ekaterina Kutafina, Stephan M. Jonas:
Automatic Recognition of Epileptiform EEG Abnormalities. MIE 2018: 171-175 - 2016
- [c16]Mark Bukowski, Martin Kühn, Xiaoqing Zhao, Ralf Bettermann, Stephan M. Jonas:
Gamification of Clinical Routine: The Dr. Fill Approach. Nursing Informatics 2016: 262-266 - [c15]Halim I. Baquapuri, Ali Wajdan, Ekaterina Kutafina, Berno J. E. Misgeld, Stephan M. Jonas:
Low-Cost Wearable for Fatigue and Back-Stress Measurement in Nursing. Nursing Informatics 2016: 372-376 - [c14]Mark Bukowski, Martin Kühn, Xiaoqing Zhao, Ralf Bettermann, Stephan M. Jonas:
Gamification of Clinical Routine: The Dr. Fill Approach. Nursing Informatics 2016: 629-630 - 2015
- [c13]Ekaterina Sirazitdinova, Stephan M. Jonas, Deyvid Kochanov, Jan Lensen, Richard Houben, Hans Slijp, Thomas Martin Deserno:
Outliers in 3D Point Clouds Applied to Efficient Image-Guided Localization. Bildverarbeitung für die Medizin 2015: 197-202 - [c12]Abin Jose, Daniel Haak, Stephan M. Jonas, Vincent Brandenburg, Thomas Martin Deserno:
Towards Standardized Wound Imaging. Bildverarbeitung für die Medizin 2015: 269-274 - [c11]Abin Jose, Daniel Haak, Stephan M. Jonas, Vincent Brandenburg, Thomas M. Deserno:
Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color. Medical Imaging: Computer-Aided Diagnosis 2015: 94143J - [c10]Muhammad Kashif, Stephan M. Jonas, Daniel Haak, Thomas M. Deserno:
Bone age assessment meets SIFT. Medical Imaging: Computer-Aided Diagnosis 2015: 941439 - [c9]Ekaterina Kutafina, David Laukamp, Stephan M. Jonas:
Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG. pHealth 2015: 286-291 - 2014
- [c8]Stephan M. Jonas:
Das Smartphone als bildgebende Modalität. Bildverarbeitung für die Medizin 2014: 4 - [c7]Deyvid Kochanov, Stephan M. Jonas, Nader Hamadeh, Ercan Yalvac, Hans Slijp, Thomas Martin Deserno:
Urban Positioning Using Smartphone-Based Imaging. Bildverarbeitung für die Medizin 2014: 186-191 - [c6]Malte Sartor, Stephan M. Jonas, Tobias Wartzek, Steffen Leonhardt, Christoph Wanner, Nikolaus Marx, Thomas Martin Deserno:
Nicht-lineare Zeitnormierung im Langzeit-EKG. Bildverarbeitung für die Medizin 2014: 300-305 - [c5]Daniel Haak, Yusuf Z. Filmwala, Eric Heder, Stephan M. Jonas, Peter Boor, Thomas Martin Deserno:
An ImageJ Plugin for Whole Slide Imaging. Bildverarbeitung für die Medizin 2014: 415-420 - [c4]Thomas M. Deserno, István Sárándi, Abin Jose, Daniel Haak, Stephan M. Jonas, Paula Specht, Vincent Brandenburg:
Towards quantitative assessment of calciphylaxis. Medical Imaging: Computer-Aided Diagnosis 2014: 90353C - 2012
- [c3]Stephan M. Jonas, Engin Deniz, Mustafa K. Khokha, Thomas Martin Deserno, Michael A. Choma:
Microfluidic Phenotyping of Cilia-Driven Mixing for the Assessment of Respiratory Diseases. Bildverarbeitung für die Medizin 2012: 135-140 - 2009
- [c2]Stephan M. Jonas:
Ein OpenSource Framework für iterative Bildsegmentierung mit Grah Cuts. Informatiktage 2009: 227-230 - 2008
- [c1]Philippe Dreuw, Stephan M. Jonas, Hermann Ney:
White-space models for offline Arabic handwriting recognition. ICPR 2008: 1-4
Parts in Books or Collections
- 2015
- [p1]Stephan M. Jonas, Thomas Martin Deserno:
Mobile Imaging and Analytics for Biomedical Data. Healthcare Data Analytics 2015: 685-718
Coauthor Index
aka: Thomas Martin Deserno
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last updated on 2024-10-07 21:25 CEST by the dblp team
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