Uli Niemann

发表

Bernhard Preim, Myra Spiliopoulou, Paul Klemm, 2019, Eurographics.

Subpopulation Discovery in Epidemiological Data with Subspace Clustering

Myra Spiliopoulou, Henry Völzke, Uli Niemann, 2014 .

Visual Subpopulation Discovery and Validation in Cohort Study Data pdf

Bernhard Preim, Myra Spiliopoulou, Henry Völzke, 2017, ArXiv.

Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution?

Myra Spiliopoulou, Henry Völzke, Uli Niemann, 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.

Predicting polarities of entity-centered documents without reading their contents

Myra Spiliopoulou, Vishnu Unnikrishnan, Eirini Ntoutsi, 2018, SAC.

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity

Myra Spiliopoulou, Rüdiger Pryss, Winfried Schlee, 2019, International Journal of Data Science and Analytics.

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity

Myra Spiliopoulou, Rüdiger Pryss, Winfried Schlee, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

ICE: Interactive Classification Rule Exploration on Epidemiological Data

Myra Spiliopoulou, Miro Schleicher, Henry Völzke, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis

Myra Spiliopoulou, Henry Völzke, Uli Niemann, 2014, Expert Syst. Appl..

A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data

Bernhard Preim, Myra Spiliopoulou, Henry Völzke, 2018, Expert Syst. Appl..

Subpopulation Discovery and Validation in Epidemiological Data

Bernhard Preim, Myra Spiliopoulou, Henry Völzke, 2017, EuroVA@EuroVis.

Learning Pressure Patterns for Patients with Diabetic Foot Syndrome

Myra Spiliopoulou, Uli Niemann, Silke Klose, 2016, 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS).

3D Regression Heat Map Analysis of Population Study Data

Kai Lawonn, Bernhard Preim, Sylvia Glaßer, 2016, IEEE Transactions on Visualization and Computer Graphics.

Visual Analytics of Missing Data in Epidemiological Cohort Studies

Bernhard Preim, Myra Spiliopoulou, Daniel Schneider, 2017, VCBM.

Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder

Myra Spiliopoulou, Rohith Ravindran, Uli Niemann, 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).

Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets

Myra Spiliopoulou, Henry Völzke, Uli Niemann, 2014, ECML/PKDD.

Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region

Bernhard Preim, Myra Spiliopoulou, Sylvia Glaßer, 2013, Bildverarbeitung für die Medizin.

Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters

Bernhard Preim, Myra Spiliopoulou, Philipp Berg, 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).

Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study

Myra Spiliopoulou, Steffen Oeltze-Jafra, Henry Völzke, 2018, 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS).

Exploiting entity information for stream classification over a stream of reviews

Myra Spiliopoulou, Vishnu Unnikrishnan, Eirini Ntoutsi, 2019, SAC.

Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data pdf

Kai Lawonn, Bernhard Preim, Myra Spiliopoulou, 2020, ArXiv.

Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms

Bernhard Preim, Oliver Beuing, Sylvia Saalfeld, 2020, International Journal of Computer Assisted Radiology and Surgery.

Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features

Bernhard Preim, Sylvia Glaßer, Uli Niemann, 2017, Bildverarbeitung für die Medizin.

Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only?

Bernhard Preim, Myra Spiliopoulou, Sylvia Glaßer, 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

Visual Analysis of Missing Values in Longitudinal Cohort Study Data

Bernhard Preim, Myra Spiliopoulou, Katja Bühler, 2019, Comput. Graph. Forum.

Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data

Bernhard Preim, Myra Spiliopoulou, Henry Völzke, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus

Myra Spiliopoulou, Vishnu Unnikrishnan, Miro Schleicher, 2021, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA).

Intelligent assistance for expert-driven subpopulation discovery in high-dimensional timestamped medical data

Uli Niemann, 2021 .

Comparative Clustering of Plantar Pressure Distributions in Diabetics with Polyneuropathy May Be Applied to Reveal Inappropriate Biomechanical Stress

Myra Spiliopoulou, Uli Niemann, Silke Klose, 2016, PloS one.

Patient Empowerment Through Summarization of Discussion Threads on Treatments in a Patient Self-help Forum

Manfred Reichert, Myra Spiliopoulou, Atin Janki, 2017, BHI 2017.