Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data. - Julian Varghese; Christoph Beierle; Nico Potyka; Gabriele Kern-Isberner (CBMS, 2013)

A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery. - Christoph Beierle; Marc Finthammer; Nico Potyka; Julian Varghese; Gabriele Kern-Isberner (ECSQARU, 2013)

Annotating Medical Forms Using UMLS. - Victor Christen; Anika Groß; Julian Varghese; Martin Dugas; Erhard Rahm (DILS, 2015)

Standardized Quality Assurance Forms for Organ Transplantations with Multilingual Support, Open Access and UMLS Coding. - Julian Varghese; Sarah Schulze Sünninghausen; Martin Dugas (eHealth, 2015)

Standardized Cardiovascular Quality Assurance Forms with Multilingual Support, UMLS Coding and Medical Concept Analyses. - Julian Varghese; Sarah Schulze Sünninghausen; Martin Dugas (MedInfo, 2015)

Key Data Elements in Myeloid Leukemia. - Julian Varghese; Christian Holz 003; Phillip Neuhaus; Massimo Bernardi; Alexandra Boehm; Arnold Ganser; Steven Gore; Mark Heaney; Andreas Hochhaus; Wolf-Karsten Hofmann; Utz Krug; Carsten Müller-Tidow; et al. (MIE, 2016)

Portal of medical data models: information infrastructure for medical research and healthcare. - Martin Dugas; Philipp Neuhaus; Alexandra Meidt; Justin Doods; Michael Storck; Philipp Bruland; Julian Varghese (Database J. Biol. Databases Curation, 2016)

The Portal of Medical Data Models: Where Have We Been and Where Are We Going? - Sophia Geßner; Philipp Neuhaus; Julian Varghese; Philipp Bruland; Alexandra Meidt; Iñaki Soto Rey; Michael Storck; Justin Doods; Martin Dugas (MedInfo, 2017)

Medical Effect of Venous Thromboembolism Prophylaxis Systems and Common Input Categories: Preliminary Findings from a Systematic Review. - Julian Varghese; Maren Kleine; Sophia Isabella Gessner; Sarah Sandmann; Martin Dugas (MedInfo, 2017)

A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic. - Christoph Beierle; Marc Finthammer; Nico Potyka; Julian Varghese; Gabriele Kern-Isberner (FLAP, 2017)

A Web Service to Suggest Semantic Codes Based on the MDM-Portal. - Stefan Hegselmann; Michael Storck; Sophia Geßner; Philipp Neuhaus; Julian Varghese; Martin Dugas (GMDS, 2018)

Standardising the Development of ODM Converters: The ODMToolBox. - Iñaki Soto Rey; Philipp Neuhaus; Philipp Bruland; Sophia Geßner; Julian Varghese; Stefan Hegselmann; Tobias J. Brix; Martin Dugas; Michael Storck (MIE, 2018)

Reproducible Survival Prediction with SEER Cancer Data. - Stefan Hegselmann; Leonard Greulich; Julian Varghese; Martin Dugas (MLHC, 2018)

appreci8: a pipeline for precise variant calling integrating 8 tools. - Sarah Sandmann; Mohsen Karimi; Aniek O. de Graaf; Christian Rohde; Stefanie Göllner; Julian Varghese; Jan Ernsting; Gunilla Walldin; Bert A. van der Reijden; Carsten Müller-Tidow; Luca Malcovati; Eva Hellström-Lindberg; et al. (Bioinform., 2018)

Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review. - Julian Varghese; Maren Kleine; Sophia Isabella Gessner; Sarah Sandmann; Martin Dugas (J. Am. Medical Informatics Assoc., 2018)

Portal of Medical Data Models: Status 2018. - Sarah Riepenhausen; Julian Varghese; Philipp Neuhaus; Michael Storck; Alexandra Meidt; Stefan Hegselmann; Martin Dugas (EFMI-STC, 2019)

StudyPortal - A Novel Method to Visualize Study Research Networks. - Julian Varghese; Michael Fujarski; Martin Dugas (EFMI-STC, 2019)

Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal. - Martin Dugas; Stefan Hegselmann; Sarah Riepenhausen; Philipp Neuhaus; Leonard Greulich; Alexandra Meidt; Julian Varghese (MedInfo, 2019)

The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study. - Julian Varghese; Michael Fujarski; Tim Hahn; Martin Dugas; Tobias Warnecke (MIE, 2020)

StudyPortal - Geovisualization of Study Research Networks. - Julian Varghese; Michael Fujarski; Martin Dugas (J. Medical Syst., 2020)

Portal of Medical Data Models: Stakeholder Feedback and Requirements. - Alexandra Meidt; Sarah Riepenhausen; Philipp Neuhaus; Stefan Hegselmann; Ahmed Rafee; Julian Varghese; Martin Dugas (MIE, 2021)

Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. - Stefan Hegselmann; Michael Storck; Sophia Gessner; Philipp Neuhaus; Julian Varghese; Philipp Bruland; Alexandra Meidt; Cornelia Mertens; Sarah Riepenhausen; Sonja Baier; Benedikt Stöcker; Jörg Henke; et al. (BMC Medical Informatics Decis. Mak., 2021)

Sensor Validation and Diagnostic Potential of Smartwatches in Movement Disorders. - Julian Varghese; Catharina Marie van Alen; Michael Fujarski; Georg Stefan Schlake; Julitta Sucker; Tobias Warnecke; Christine Thomas (Sensors, 2021)

Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection. - Felix Knispel; Alexander Brenner; Rainer Röhrig; Yvonne Weber; Julian Varghese; Ekaterina Kutafina (GMDS, 2022)

Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders. - Alexander Brenner; Lucas Plagwitz; Michael Fujarski; Tobias Warnecke; Julian Varghese (MIE, 2022)

Linking EMR Data to REDCap: Implementation in the SOLKID Register. - Tobias J. Brix; Leonard Greulich; Alice Janssen; Sarah Riepenhausen; Philipp Neuhaus; Johannes Oehm; Jeannine Wegner; Barbara Suwelack; Michael Storck; Julian Varghese (MIE, 2022)

Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database. - Michael Fujarski; Christian Porschen; Lucas Plagwitz; Alexander Brenner; Narges Ghoreishi; Patrick Thoral; Harm-Jan de Grooth; Paul W. G. Elbers; Raphael Weiss; Melanie Meersch; Alexander Zarbock; Thilo Caspar von Groote; et al. (MIE, 2022)

Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model. - Lucas Plagwitz; Alexander Brenner; Michael Fujarski; Julian Varghese (MIE, 2022)

Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy. - Alexander Brenner; Michael Fujarski; Tobias Warnecke; Julian Varghese (CoRR, 2022)

Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system. - Catharina Marie van Alen; Alexander Brenner; Tobias Warnecke; Julian Varghese (CoRR, 2022)

Comparison of German Translations of the System Usability Scale - Which to Take? - Tobias J. Brix; Alice Janssen; Michael Storck; Julian Varghese (GMDS, 2023)

Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification. - Lucas Bickmann; Lucas Plagwitz; Julian Varghese (MIE, 2023)

On the Effective Dissemination and Use of Learning Objectives Catalogs for Health Information Curricula Development. - Oliver J. Bott; Ursula Berger; Nicole Egbert; Carolin Herrmann; Birgit Schneider; Björn Sellemann; Cord Spreckelsen; Brigitte Strahwald; Julian Varghese; Alfred Winter (MIE, 2023)

Classification of Parkinson's Disease from Voice - Analysis of Data Selection Bias. - Alexander Brenner; Catharina Marie van Alen; Lucas Plagwitz; Julian Varghese (MIE, 2023)

Development of a Command Line Interface for the Analysis of Result Sets from Automated Queries to Literature Databases. - Tobias J. Brix; Malte Berentzen; Ludger Becker; Michael Storck; Julian Varghese (MIE, 2023)

DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation. - Michael Fujarski; Christian Porschen; Lucas Plagwitz; Daniel Stroth; Catharina Marie van Alen; Mahan Sadjadi; Raphael Weiss; Alexander Zarbock; Thilo Caspar von Groote; Julian Varghese (MIE, 2023)

The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models. - Lucas Plagwitz; Tobias Vogelsang; Florian Doldi; Lucas Bickmann; Michael Fujarski; Lars Eckardt; Julian Varghese (MIE, 2023)

Blood Vessel Segmentation Using U-Net for Glaucoma Diagnosis with Limited Data. - Lukas Schiesser; Jens Julian Storp; Kemal Yildirim; Julian Varghese; Nicole Eter (MIE, 2023)

U-Net-Based Segmentation of Current Imaging Biomarkers in OCT-Scans of Patients with Age Related Macular Degeneration. - Kemal Yildirim; Sami Al-Nawaiseh; Sophia Ehlers; Lukas Schießer; Michael Storck; Tobias J. Brix; Nicole Eter; Julian Varghese (MIE, 2023)

Federated electronic data capture (fEDC): Architecture and prototype. - Matthias Ganzinger; Max Blumenstock; Axel Fürstberger; Leonard Greulich; Hans A. Kestler; Michael Marschollek; Christian Niklas; Tim Schneider; Cord Spreckelsen; Erik Tute; Julian Varghese; Martin Dugas (J. Biomed. Informatics, 2023)

Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical Texts. - Lucas Plagwitz; Philipp Neuhaus; Kemal Yildirim; Noah Losch; Julian Varghese; Antonius Büscher (GMDS, 2024)

Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL Dataset. - Lucas Bickmann; Lucas Plagwitz; Julian Varghese (MIE, 2024)

Mixed Reality in Medical Education - Introduction of a Practical Course Module. - Alexander Brenner; Yannik Warnecke; Michael Fujarski; Julian Varghese (MIE, 2024)

Fine-Tuning SSL-Model to Enhance Detection of Cilioretinal Arteries on Colored Fundus Images. - Warnes Gobalakrishnan; Julian Zimmermann; Michael Storck; Viktoria Constanze Brücher; Nicole Eter; Julian Varghese (MIE, 2024)

Automatic Extraction of Medication Data from Semi-Structured Prescriptions. - Johannes Benedict Oehm; Oliver Wenning; Michael Storck; Xiaoyi Jiang 001; Julian Varghese (MIE, 2024)

Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature Attribution. - Lucas Plagwitz; Lucas Bickmann; Antonius Büscher; Julian Varghese (MIE, 2024)

Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies. - Lucas Plagwitz; Sangcheon Choi; Xin Yu 002; Daniel Segelcke; Henriette Lambers; Esther Pogatzki-Zahn; Julian Varghese; Cornelius Faber; Bruno Pradier (Biomed. Signal Process. Control., 2024)

Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography. - Alexander Brenner; Felix Knispel; Florian P. Fischer; Peter Rossmanith; Yvonne Weber; Henner Koch; Rainer Röhrig; Julian Varghese; Ekaterina Kutafina (Comput. Methods Programs Biomed., 2024)

The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering. - Lucas Plagwitz; Lucas Bickmann; Michael Fujarski; Alexander Brenner; Warnes Gobalakrishnan; Lars Eckardt; Antonius Büscher; Julian Varghese (CoRR, 2024)

An openEHR based infection control system to support monitoring of nosocomial bacterial clusters and contacts. - Pascal Biermann; Claas Baier; Ann Christin Vietor; Benedikt Zacher; Tom Baumgartl; Tatiana von Landesberger; Michael Behnke; Michael Storck; Markus Petzold; Martin Kaase; Sarah Ballout; Tim Eckmanns; et al. (npj Digit. Medicine, 2025)

ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning. - Lucas Bickmann; Lucas Plagwitz; Antonius Büscher; Lars Eckardt; Julian Varghese (CoRR, 2025)

Fine-Tuning LLMs on Small Medical Datasets: Text Classification and Normalization Effectiveness on Cardiology reports and Discharge records. - Noah Losch; Lucas Plagwitz; Antonius Büscher; Julian Varghese (CoRR, 2025)