Uli Niemann

Orcid: 0000-0001-9634-2248

According to our database1, Uli Niemann authored at least 29 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
GUCCI - Guided Cardiac Cohort Investigation of Blood Flow Data.
IEEE Trans. Vis. Comput. Graph., March, 2023

2022
A cost-based multi-layer network approach for the discovery of patient phenotypes.
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
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

Visual Analysis of Missing Values in Longitudinal Cohort Study Data.
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
Exploiting entity information for stream classification over a stream of reviews.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Visual Analytics for Epidemiology.
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

Predicting polarities of entity-centered documents without reading their contents.
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
Visual Subpopulation Discovery and Validation in Cohort Study Data.
CoRR, 2017

Subpopulation Discovery and Validation in Epidemiological Data.
Proceedings of the 8th International EuroVis Workshop on Visual Analytics, 2017

Visual Analytics of Missing Data in Epidemiological Cohort Studies.
Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

ICE: Interactive Classification Rule Exploration on Epidemiological Data.
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
3D Regression Heat Map Analysis of Population Study Data.
IEEE Trans. Vis. Comput. Graph., 2016

Learning Pressure Patterns for Patients with Diabetic Foot Syndrome.
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


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