Julian Varghese
Orcid: 0000-0002-7206-3719
According to our database1,
Julian Varghese
authored at least 49 papers
between 2013 and 2024.
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Bibliography
2024
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering.
CoRR, 2024
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography.
Comput. Methods Programs Biomed., 2024
Data-driven time series analysis of sensory cortical processing using high-resolution fMRI across different studies.
Biomed. Signal Process. Control., 2024
Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature Attribution.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Fine-Tuning SSL-Model to Enhance Detection of Cilioretinal Arteries on Colored Fundus Images.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL Dataset.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical Texts.
Proceedings of the German Medical Data Sciences 2024 - Health, 2024
2023
J. Biomed. Informatics, February, 2023
U-Net-Based Segmentation of Current Imaging Biomarkers in OCT-Scans of Patients with Age Related Macular Degeneration.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Development of a Command Line Interface for the Analysis of Result Sets from Automated Queries to Literature Databases.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
On the Effective Dissemination and Use of Learning Objectives Catalogs for Health Information Curricula Development.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Proceedings of the German Medical Data Sciences 2023 - Science. Close to People., 2023
2022
Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system.
CoRR, 2022
Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy.
CoRR, 2022
Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022
Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection.
Proceedings of the German Medical Data Sciences 2022 - Future Medicine: More Precise, More Integrative, More Sustainable! - Proceedings of the Joint Conference of the 67th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 14th Annual Meeting of the TMF, 2022
2021
Sensors, 2021
Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse.
BMC Medical Informatics Decis. Mak., 2021
Proceedings of the Public Health and Informatics, 2021
2020
The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
2019
Compatible Data Models at Design Stage of Medical Information Systems: Leveraging Related Data Elements from the MDM Portal.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019
Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019
2018
Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review.
J. Am. Medical Informatics Assoc., 2018
Bioinform., 2018
Proceedings of the Machine Learning for Healthcare Conference, 2018
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018
Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018
2017
A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic.
FLAP, 2017
Medical Effect of Venous Thromboembolism Prophylaxis Systems and Common Input Categories: Preliminary Findings from a Systematic Review.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
2016
Portal of medical data models: information infrastructure for medical research and healthcare.
Database J. Biol. Databases Curation, 2016
Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016
2015
Standardized Cardiovascular Quality Assurance Forms with Multilingual Support, UMLS Coding and Medical Concept Analyses.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015
Standardized Quality Assurance Forms for Organ Transplantations with Multilingual Support, Open Access and UMLS Coding.
Proceedings of the Health Informatics Meets eHealth, 2015
Proceedings of the Data Integration in the Life Sciences - 11th International Conference, 2015
2013
A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013
Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013