White-space models for offline Arabic handwriting recognition. - Philippe Dreuw; Stephan M. Jonas; Hermann Ney (ICPR, 2008)

Data-Mining-Cup 2007. - Christian Buck; Tobias Gass; Andreas Hannig; Jan Hendrik Hosang; Stephan M. Jonas; Jan-Thorsten Peter; Pascal Steingrube; Jan Henrik Ziegeldorf (Inform. Spektrum, 2008)

Ein OpenSource Framework für iterative Bildsegmentierung mit Grah Cuts. - Stephan M. Jonas (Informatiktage, 2009)

Microfluidic Phenotyping of Cilia-Driven Mixing for the Assessment of Respiratory Diseases. - Stephan M. Jonas; Engin Deniz; Mustafa K. Khokha; Thomas Martin Deserno; Michael A. Choma (Bildverarbeitung für die Medizin, 2012)

An ImageJ Plugin for Whole Slide Imaging. - Daniel Haak; Yusuf Z. Filmwala; Eric Heder; Stephan M. Jonas; Peter Boor; Thomas Martin Deserno (Bildverarbeitung für die Medizin, 2014)

Das Smartphone als bildgebende Modalität. - Stephan M. Jonas (Bildverarbeitung für die Medizin, 2014)

Urban Positioning Using Smartphone-Based Imaging. - Deyvid Kochanov; Stephan M. Jonas; Nader Hamadeh; Ercan Yalvac; Hans Slijp; Thomas Martin Deserno (Bildverarbeitung für die Medizin, 2014)

Nicht-lineare Zeitnormierung im Langzeit-EKG. - Malte Sartor; Stephan M. Jonas; Tobias Wartzek; Steffen Leonhardt; Christoph Wanner; Nikolaus Marx; Thomas Martin Deserno (Bildverarbeitung für die Medizin, 2014)

Towards quantitative assessment of calciphylaxis. - Thomas M. Deserno; István Sárándi; Abin Jose; Daniel Haak; Stephan M. Jonas; Paula Specht; Vincent Brandenburg (Computer-Aided Diagnosis, 2014)

Simplifying Electronic Data Capture in Clinical Trials: Workflow Embedded Image and Biosignal File Integration and Analysis via Web Services. - Daniel Haak; Christian Samsel; Johan Gehlen; Stephan M. Jonas; Thomas Martin Deserno (J. Digit. Imaging, 2014)

Quantitative imaging of cilia driven fluid flow and mixing. - Stephan M. Jonas (2014)

Mobile Imaging and Analytics for Biomedical Data. - Stephan M. Jonas; Thomas Martin Deserno (Healthcare Data Analytics, 2015)

Towards Standardized Wound Imaging. - Abin Jose; Daniel Haak; Stephan M. Jonas; Vincent Brandenburg; Thomas Martin Deserno (Bildverarbeitung für die Medizin, 2015)

Outliers in 3D Point Clouds Applied to Efficient Image-Guided Localization. - Ekaterina Sirazitdinova; Stephan M. Jonas; Deyvid Kochanov; Jan Lensen; Richard Houben; Hans Slijp; Thomas Martin Deserno (Bildverarbeitung für die Medizin, 2015)

Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color. - Abin Jose; Daniel Haak; Stephan M. Jonas; Vincent Brandenburg; Thomas M. Deserno (Computer-Aided Diagnosis, 2015)

Bone age assessment meets SIFT. - Muhammad Kashif; Stephan M. Jonas; Daniel Haak; Thomas M. Deserno (Computer-Aided Diagnosis, 2015)

Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG. - Ekaterina Kutafina; David Laukamp; Stephan M. Jonas (pHealth, 2015)

IMAGO: Image-guided navigation for visually impaired people. - Stephan M. Jonas; Ekaterina Sirazitdinova; Jan Lensen; Deyvid Kochanov; Humaam Mayzek; Tjeu de Heus; Richard Houben; Hans Slijp; Thomas Martin Deserno (J. Ambient Intell. Smart Environ., 2015)

Low-Cost Wearable for Fatigue and Back-Stress Measurement in Nursing. - Halim I. Baquapuri; Ali Wajdan; Ekaterina Kutafina; Berno J. E. Misgeld; Stephan M. Jonas (Nursing Informatics, 2016)

Gamification of Clinical Routine: The Dr. Fill Approach. - Mark Bukowski; Martin Kühn; Xiaoqing Zhao; Ralf Bettermann; Stephan M. Jonas (Nursing Informatics, 2016)

Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment. - Muhammad Kashif; Thomas Martin Deserno; Daniel Haak; Stephan M. Jonas (Comput. Biol. Medicine, 2016)

Towards efficient mobile image-guided navigation through removal of outliers. - Ekaterina Sirazitdinova; Stephan M. Jonas; Jan Lensen; Deyvid Kochanov; Richard Houben; Hans Slijp; Thomas M. Deserno (EURASIP J. Image Video Process., 2016)

Smartphone-based diagnostic for preeclampsia: an mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources. - Stephan M. Jonas; Thomas Martin Deserno; Catalin Sorin Buhimschi; Jennifer Makin; Michael A. Choma; Irina Alexandra Buhimschi (J. Am. Medical Informatics Assoc., 2016)

Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. - Ekaterina Kutafina; David Laukamp; Ralf Bettermann; Ulrik Schroeder; Stephan M. Jonas (Sensors, 2016)

Deterioration of R-Wave Detection in Pathology and Noise: A Comprehensive Analysis Using Simultaneous Truth and Performance Level Estimation. - Muhammad Kashif; Stephan M. Jonas; Thomas M. Deserno (IEEE Trans. Biomed. Eng., 2017)

Automated Error Detection in Physiotherapy Training. - Marko Jovanovic; Johannes Seiffarth; Ekaterina Kutafina; Stephan M. Jonas (eHealth, 2018)

Automatic Recognition of Epileptiform EEG Abnormalities. - Alexander Brenner; Ekaterina Kutafina; Stephan M. Jonas (MIE, 2018)

The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices. - Andreas Burgdorf; Inga Güthe; Marko Jovanovic; Ekaterina Kutafina; Christian Kohlschein; Jó Ágila Bitsch; Stephan M. Jonas (Comput. Biol. Medicine, 2018)

Evaluation of Deep Clustering for Diarization of Aphasic Speech. - Daniel Klischies; Christian Kohlschein; Cornelius J. Werner; Stephan M. Jonas (dHealth, 2019)

Robust Comparison of Simultaneous EEG Recordings Using Kalman Filters and Gaussian Mixture Models. - Niels von Stein; Jonas Schulte-Coerne; Stephan M. Jonas; Ekaterina Kutafina (dHealth, 2019)

A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment. - Marc Haßler; Andreas Burgdorf; André Pomp; Christian Kohlschein; Christina Büsing; Stephan M. Jonas (HealthCom, 2019)

Recursive neural networks in hospital bed occupancy forecasting. - Ekaterina Kutafina; Istvan Bechtold; Klaus Kabino; Stephan M. Jonas (BMC Medical Informatics Decis. Mak., 2019)

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. - Ekaterina Kutafina; David Laukamp; Ralf Bettermann; Ulrik Schroeder; Stephan M. Jonas (Sensors, 2019)

Transitioning to a Large-Scale Distributed Programming Course. - Paul Schmiedmayer; Lara Marie Reimer; Marko Jovanovic; Dominic Henze; Stephan M. Jonas (CSEE&T, 2020)

360-degree Delphi: addressing sociotechnical challenges of healthcare IT. - Heiko Waldmüller; Cord Spreckelsen; Hannah Rudat; Norbert Krumm; Roman Rolke; Stephan Michael Jonas (BMC Medical Informatics Decis. Mak., 2020)

Sensor Failure Detection in Ambient Assisted Living Using Association Rule Mining. - Nancy E. ElHady; Stephan M. Jonas; Julien Provost; Veit Senner (Sensors, 2020)

Introducing a Navigation Algorithm for Reducing the Spread of Diseases in Public Transport Networks. - Jens Klinker; Mohamed Hechem Selmi; Mariana Avezum; Stephan M. Jonas (dHealth, 2021)

Developing an App for Cardiovascular Prevention and Scientific Data Collection. - Lara Marie Reimer; Fabian Starnecker; Heribert Schunkert; Stephan M. Jonas (dHealth, 2021)

Mobile Motion Tracking for Disease Prevention and Rehabilitation Using Apple ARKit. - Lara Marie Reimer; Severin Weigel; Florian Ehrenstorfer; Malintha Adikari; Wolfgang Birkle; Stephan M. Jonas (dHealth, 2021)

Deep-learning-based multi-class segmentation for automated, non-invasive routine assessment of human pluripotent stem cell culture status. - 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 (Comput. Biol. Medicine, 2021)

Tracking of Mental Workload with a Mobile EEG Sensor. - Ekaterina Kutafina; Anne Heiligers; Radomir Popovic; Alexander Brenner; Bernd Hankammer; Stephan M. Jonas; Klaus Mathiak; Jana Zweerings (Sensors, 2021)

mBalance: Detect Postural Imbalance with Mobile Devices. - Céline Madeleine Aldenhoven; Lara Marie Reimer; Stephan M. Jonas (dHealth, 2022)

Analysis of Mobile Typing Characteristics in the Light of Cognition. - Maximilian Kapsecker; Simon Osterlehner; Stephan M. Jonas (ICDH, 2022)

TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. - Hamza Maatouk; Sebastian Uschmann; Sven Festag; Tim Schneider; Anna Weber; Ngo Manh Khoi; Sven Bock; Stephan M. Jonas; Cord Spreckelsen; Friederike Klan (ICIMTH, 2023)

Attribution-based Personas in Virtual Software Engineering Education. - Klaudia Madhi; Lara Marie Reimer; Stephan M. Jonas (SEET@ICSE, 2023)

Improving GPS-Based Mode of Transport Detection in Multi-Modal Trips using Stop Analysis. - Jens Klinker; Mariana Avezum-Mercer; Stephan M. Jonas (MOST, 2023)

Presenting a Statistical Approach for Transforming Standardized German Traffic Surveys into Origin-Destination Matrices. - Jens Klinker; Joe Yu; Mariana Avezum-Mercer; Stephan M. Jonas (MOST, 2023)

Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles. - Leon Nissen; Julia Hübner; Jens Klinker; Maximilian Kapsecker; Alexander Leube; Max Schneckenburger; Stephan M. Jonas (Sensors, 2023)

Federated Learning with Swift: An Extension of Flower and Performance Evaluation. - Maximilian Kapsecker; Daniel N. Nugraha; Christoph Weinhuber; Nicholas D. Lane; Stephan M. Jonas (SoftwareX, 2023)

KIJANI: Designing a Physical Activity Promoting Collaborative Augmented Reality Game. - Florian Schweizer; Laura Willinger; Renate Oberhoffer-Fritz; Jan Müller; Stephan M. Jonas; Lara Marie Reimer (dHealth, 2024)

PeakSwift: Mobile Detection of R-peaks in Single Lead Electrocardiograms. - Maximilian Kapsecker; Nikita Charushnikov; Leon Nissen; Stephan M. Jonas (SoftwareX, 2024)

Disentangled representational learning for anomaly detection in single-lead electrocardiogram signals using variational autoencoder. - Maximilian Kapsecker; Matthias C. Möller; Stephan M. Jonas (Comput. Biol. Medicine, 2025)

Medicine on the Edge: Comparative Performance Analysis of On-Device LLMs for Clinical Reasoning. - Leon Nissen; Philipp Zagar; Vishnu Ravi; Aydin Zahedivash; Lara Marie Reimer; Stephan M. Jonas; Oliver O. Aalami; Paul Schmiedmayer (CoRR, 2025)

Facial Landmark Analysis for Detecting Visual Impairment in Mobile LogMAR Test. - Maximilian Kapsecker; Elena Mille; Florian Schweizer; Jens Klinker; Joe Yu; Alexander Leube; Stephan M. Jonas (IEEE J. Biomed. Health Informatics, 2025)