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Julian Varghese
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2020 – today
- 2024
- [j10]Lucas Plagwitz, Sangcheon Choi, Xin Yu, Daniel Segelcke, Henriette Lambers, Esther Pogatzki-Zahn, Julian Varghese, Cornelius Faber, Bruno Pradier:
Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies. Biomed. Signal Process. Control. 93: 106136 (2024) - [j9]Alexander Brenner, Felix Knispel, Florian P. Fischer, Peter Rossmanith, Yvonne Weber, Henner Koch, Rainer Röhrig, Julian Varghese, Ekaterina Kutafina:
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography. Comput. Methods Programs Biomed. 257: 108448 (2024) - [c36]Lucas Plagwitz, Philipp Neuhaus, Kemal Yildirim, Noah Losch, Julian Varghese, Antonius Büscher:
Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical Texts. GMDS 2024: 228-234 - [c35]Lucas Bickmann, Lucas Plagwitz, Julian Varghese:
Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL Dataset. MIE 2024: 589-593 - [c34]Lucas Plagwitz, Lucas Bickmann, Antonius Büscher, Julian Varghese:
Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature Attribution. MIE 2024: 616-620 - [c33]Warnes Gobalakrishnan, Julian Zimmermann, Michael Storck, Viktoria Constanze Brücher, Nicole Eter, Julian Varghese:
Fine-Tuning SSL-Model to Enhance Detection of Cilioretinal Arteries on Colored Fundus Images. MIE 2024: 919-923 - [c32]Alexander Brenner, Yannik Warnecke, Michael Fujarski, Julian Varghese:
Mixed Reality in Medical Education - Introduction of a Practical Course Module. MIE 2024: 1515-1516 - [c31]Johannes Benedict Oehm, Oliver Wenning, Michael Storck, Xiaoyi Jiang, Julian Varghese:
Automatic Extraction of Medication Data from Semi-Structured Prescriptions. MIE 2024: 1694-1698 - [i3]Lucas Plagwitz, Lucas Bickmann, Michael Fujarski, Alexander Brenner, Warnes Gobalakrishnan, Lars Eckardt, Antonius Büscher, Julian Varghese:
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering. CoRR abs/2407.15555 (2024) - 2023
- [j8]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:
Federated electronic data capture (fEDC): Architecture and prototype. J. Biomed. Informatics 138: 104280 (2023) - [c30]Tobias J. Brix, Alice Janssen, Michael Storck, Julian Varghese:
Comparison of German Translations of the System Usability Scale - Which to Take? GMDS 2023: 96-101 - [c29]Lucas Plagwitz, Tobias Vogelsang, Florian Doldi, Lucas Bickmann, Michael Fujarski, Lars Eckardt, Julian Varghese:
The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models. MIE 2023: 33-37 - [c28]Alexander Brenner, Catharina Marie van Alen, Lucas Plagwitz, Julian Varghese:
Classification of Parkinson's Disease from Voice - Analysis of Data Selection Bias. MIE 2023: 127-128 - [c27]Tobias J. Brix, Malte Berentzen, Ludger Becker, Michael Storck, Julian Varghese:
Development of a Command Line Interface for the Analysis of Result Sets from Automated Queries to Literature Databases. MIE 2023: 162-166 - [c26]Lucas Bickmann, Lucas Plagwitz, Julian Varghese:
Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification. MIE 2023: 182-186 - [c25]Michael Fujarski, Christian Porschen, Lucas Plagwitz, Daniel Stroth, Catharina Marie van Alen, Mahan Sadjadi, Raphael Weiss, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese:
DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation. MIE 2023: 237-241 - [c24]Oliver J. Bott, Ursula Berger, Nicole Egbert, Carolin Herrmann, Birgit Schneider, Björn Sellemann, Cord Spreckelsen, Brigitte Strahwald, Julian Varghese, Alfred Winter:
On the Effective Dissemination and Use of Learning Objectives Catalogs for Health Information Curricula Development. MIE 2023: 438-442 - [c23]Lukas Schiesser, Jens Julian Storp, Kemal Yildirim, Julian Varghese, Nicole Eter:
Blood Vessel Segmentation Using U-Net for Glaucoma Diagnosis with Limited Data. MIE 2023: 581-585 - [c22]Kemal Yildirim, Sami Al-Nawaiseh, Sophia Ehlers, Lukas Schießer, Michael Storck, Tobias J. Brix, Nicole Eter, Julian Varghese:
U-Net-Based Segmentation of Current Imaging Biomarkers in OCT-Scans of Patients with Age Related Macular Degeneration. MIE 2023: 947-951 - 2022
- [c21]Felix Knispel, Alexander Brenner, Rainer Röhrig, Yvonne Weber, Julian Varghese, Ekaterina Kutafina:
Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection. GMDS 2022: 33-40 - [c20]Alexander Brenner, Lucas Plagwitz, Michael Fujarski, Tobias Warnecke, Julian Varghese:
Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders. MIE 2022: 104-108 - [c19]Lucas Plagwitz, Alexander Brenner, Michael Fujarski, Julian Varghese:
Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model. MIE 2022: 109-113 - [c18]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, Julian Varghese:
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database. MIE 2022: 139-140 - [c17]Tobias J. Brix, Leonard Greulich, Alice Janssen, Sarah Riepenhausen, Philipp Neuhaus, Johannes Oehm, Jeannine Wegner, Barbara Suwelack, Michael Storck, Julian Varghese:
Linking EMR Data to REDCap: Implementation in the SOLKID Register. MIE 2022: 184-188 - [i2]Alexander Brenner, Michael Fujarski, Tobias Warnecke, Julian Varghese:
Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy. CoRR abs/2205.05361 (2022) - [i1]Catharina Marie van Alen, Alexander Brenner, Tobias Warnecke, Julian Varghese:
Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system. CoRR abs/2205.05961 (2022) - 2021
- [j7]Stefan Hegselmann, Michael Storck, Sophia Gessner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Cornelia Mertens, Sarah Riepenhausen, Sonja Baier, Benedikt Stöcker, Jörg Henke, Carsten Oliver Schmidt, Martin Dugas:
Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse. BMC Medical Informatics Decis. Mak. 21(1): 160 (2021) - [j6]Julian Varghese, Catharina Marie van Alen, Michael Fujarski, Georg Stefan Schlake, Julitta Sucker, Tobias Warnecke, Christine Thomas:
Sensor Validation and Diagnostic Potential of Smartwatches in Movement Disorders. Sensors 21(9): 3139 (2021) - [c16]Alexandra Meidt, Sarah Riepenhausen, Philipp Neuhaus, Stefan Hegselmann, Ahmed Rafee, Julian Varghese, Martin Dugas:
Portal of Medical Data Models: Stakeholder Feedback and Requirements. MIE 2021: 488-489 - 2020
- [j5]Julian Varghese, Michael Fujarski, Martin Dugas:
StudyPortal - Geovisualization of Study Research Networks. J. Medical Syst. 44(1): 22 (2020) - [c15]Julian Varghese, Michael Fujarski, Tim Hahn, Martin Dugas, Tobias Warnecke:
The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study. MIE 2020: 889-893
2010 – 2019
- 2019
- [c14]Julian Varghese, Michael Fujarski, Martin Dugas:
StudyPortal - A Novel Method to Visualize Study Research Networks. EFMI-STC 2019: 163 - [c13]Sarah Riepenhausen, Julian Varghese, Philipp Neuhaus, Michael Storck, Alexandra Meidt, Stefan Hegselmann, Martin Dugas:
Portal of Medical Data Models: Status 2018. EFMI-STC 2019: 239-240 - [c12]Martin Dugas, Stefan Hegselmann, Sarah Riepenhausen, Philipp Neuhaus, Leonard Greulich, Alexandra Meidt, Julian Varghese:
Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal. MedInfo 2019: 113-117 - 2018
- [j4]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, Joop H. Jansen, Martin Dugas:
appreci8: a pipeline for precise variant calling integrating 8 tools. Bioinform. 34(24): 4205-4212 (2018) - [j3]Julian Varghese, Maren Kleine, Sophia Isabella Gessner, Sarah Sandmann, Martin Dugas:
Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review. J. Am. Medical Informatics Assoc. 25(5): 593-602 (2018) - [c11]Stefan Hegselmann, Michael Storck, Sophia Geßner, Philipp Neuhaus, Julian Varghese, Martin Dugas:
A Web Service to Suggest Semantic Codes Based on the MDM-Portal. GMDS 2018: 35-39 - [c10]Iñaki Soto Rey, Philipp Neuhaus, Philipp Bruland, Sophia Geßner, Julian Varghese, Stefan Hegselmann, Tobias J. Brix, Martin Dugas, Michael Storck:
Standardising the Development of ODM Converters: The ODMToolBox. MIE 2018: 231-235 - [c9]Stefan Hegselmann, Leonard Greulich, Julian Varghese, Martin Dugas:
Reproducible Survival Prediction with SEER Cancer Data. MLHC 2018: 49-66 - 2017
- [j2]Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, Gabriele Kern-Isberner:
A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic. FLAP 4(7) (2017) - [c8]Sophia Geßner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Iñaki Soto Rey, Michael Storck, Justin Doods, Martin Dugas:
The Portal of Medical Data Models: Where Have We Been and Where Are We Going? MedInfo 2017: 858-862 - [c7]Julian Varghese, Maren Kleine, Sophia Isabella Gessner, Sarah Sandmann, Martin Dugas:
Medical Effect of Venous Thromboembolism Prophylaxis Systems and Common Input Categories: Preliminary Findings from a Systematic Review. MedInfo 2017: 1175-1179 - 2016
- [j1]Martin Dugas, Philipp Neuhaus, Alexandra Meidt, Justin Doods, Michael Storck, Philipp Bruland, Julian Varghese:
Portal of medical data models: information infrastructure for medical research and healthcare. Database J. Biol. Databases Curation 2016 (2016) - [c6]Julian Varghese, Christian Holz, Phillip Neuhaus, Massimo Bernardi, Alexandra Boehm, Arnold Ganser, Steven Gore, Mark Heaney, Andreas Hochhaus, Wolf-Karsten Hofmann, Utz Krug, Carsten Müller-Tidow, Alexandra Smith, Ansgar Weltermann, Theo de Witte, Rüdiger Hehlmann, Martin Dugas:
Key Data Elements in Myeloid Leukemia. MIE 2016: 282-286 - 2015
- [c5]Victor Christen, Anika Groß, Julian Varghese, Martin Dugas, Erhard Rahm:
Annotating Medical Forms Using UMLS. DILS 2015: 55-69 - [c4]Julian Varghese, Sarah Schulze Sünninghausen, Martin Dugas:
Standardized Quality Assurance Forms for Organ Transplantations with Multilingual Support, Open Access and UMLS Coding. eHealth 2015: 15-22 - [c3]Julian Varghese, Sarah Schulze Sünninghausen, Martin Dugas:
Standardized Cardiovascular Quality Assurance Forms with Multilingual Support, UMLS Coding and Medical Concept Analyses. MedInfo 2015: 837-841 - 2013
- [c2]Julian Varghese, Christoph Beierle, Nico Potyka, Gabriele Kern-Isberner:
Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data. CBMS 2013: 401-404 - [c1]Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, Gabriele Kern-Isberner:
A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery. ECSQARU 2013: 49-60
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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