Uli Niemann
Orcid: 0000-0001-9634-2248
According to our database1,
Uli Niemann
authored at least 34 papers
between 2013 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2025
Artif. Intell. Medicine, 2025
2024
Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction.
Expert Syst. Appl., 2024
CoRR, 2024
2023
IEEE Trans. Vis. Comput. Graph., March, 2023
Proceedings of the VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine, 2023
2022
CoRR, 2022
Data-Driven Prediction of Athletes' Performance Based on Their Social Media Presence.
Proceedings of the Discovery Science - 25th International Conference, 2022
Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
Intelligent assistance for expert-driven subpopulation discovery in high-dimensional timestamped medical data
PhD thesis, 2021
Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
2020
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.
Int. J. Data Sci. Anal., 2020
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data.
CoRR, 2020
Comput. Graph. Forum, 2020
Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms.
Int. J. Comput. Assist. Radiol. Surg., 2020
2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019
2018
A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data.
Expert Syst. Appl., 2018
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
2017
Proceedings of the 8th International EuroVis Workshop on Visual Analytics, 2017
Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
IEEE Trans. Vis. Comput. Graph., 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
2015
Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution?
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
2014
Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis.
Expert Syst. Appl., 2014
Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
2013
Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only?
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region.
Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013