Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. - Sylvia Glaßer; Uli Niemann; Uta Preim; Bernhard Preim; Myra Spiliopoulou (Bildverarbeitung für die Medizin, 2013)

Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only? - Sylvia Glaßer; Uli Niemann; Bernhard Preim; Myra Spiliopoulou (CBMS, 2013)

Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. - Uli Niemann; Myra Spiliopoulou; Henry Völzke; Jens-Peter Kühn (ECML/PKDD (3), 2014)

Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. - Uli Niemann; Henry Völzke; Jens-Peter Kühn; Myra Spiliopoulou (Expert Syst. Appl., 2014)

Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution? - Uli Niemann; Tommy Hielscher; Myra Spiliopoulou; Henry Völzke; Jens-Peter Kühn (CBMS, 2015)

Learning Pressure Patterns for Patients with Diabetic Foot Syndrome. - Uli Niemann; Myra Spiliopoulou; Fred Samland; Thorsten Szczepanski; Jens Grützner; Antao Ming; Juliane Kellersmann; Jan Malanowski; Silke Klose; Peter R. Mertens (CBMS, 2016)

3D Regression Heat Map Analysis of Population Study Data. - Paul Klemm; Kai Lawonn; Sylvia Glaßer; Uli Niemann; Katrin Hegenscheid; Henry Völzke; Bernhard Preim (IEEE Trans. Vis. Comput. Graph., 2016)

Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features. - Kai Nie; Sylvia Glaßer; Uli Niemann; Gabriel Mistelbauer; Bernhard Preim (Bildverarbeitung für die Medizin, 2017)

Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data. - Uli Niemann; Myra Spiliopoulou; Bernhard Preim; Till Ittermann; Henry Völzke (CBMS, 2017)

ICE: Interactive Classification Rule Exploration on Epidemiological Data. - Miro Schleicher; Till Ittermann; Uli Niemann; Henry Völzke; Myra Spiliopoulou (CBMS, 2017)

Visual Analytics of Missing Data in Epidemiological Cohort Studies. - Shiva Alemzadeh; Uli Niemann; Till Ittermann; Henry Völzke; Daniel Schneider; Myra Spiliopoulou; Bernhard Preim (VCBM, 2017)

Subpopulation Discovery and Validation in Epidemiological Data. - Shiva Alemzadeh; Tommy Hielscher; Uli Niemann; Lena Cibulski; Till Ittermann; Henry Völzke; Myra Spiliopoulou; Bernhard Preim (EuroVA@EuroVis, 2017)

Visual Subpopulation Discovery and Validation in Cohort Study Data. - Shiva Alemzadeh; Tommy Hielscher; Uli Niemann; Lena Cibulski; Till Ittermann; Henry Völzke; Myra Spiliopoulou; Bernhard Preim (CoRR, 2017)

Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. - Paras Multani; Uli Niemann; Mario A. Cypko; Jens-Peter Kuehn; Henry Völzke; Steffen Oeltze-Jafra; Myra Spiliopoulou (CBMS, 2018)

Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters. - Uli Niemann; Philipp Berg; Annika Niemann; Oliver Beuing; Bernhard Preim; Myra Spiliopoulou; Sylvia Saalfeld (CBMS, 2018)

Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder. - Rohith Ravindran; Uli Niemann; Silke Klose; Isabell Walter; Antao Ming; Peter R. Mertens; Myra Spiliopoulou (CBMS, 2018)

Predicting polarities of entity-centered documents without reading their contents. - Christian Beyer; Uli Niemann; Vishnu Unnikrishnan 002; Eirini Ntoutsi; Myra Spiliopoulou (SAC, 2018)

A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data. - Tommy Hielscher; Uli Niemann; Bernhard Preim; Henry Völzke; Till Ittermann; Myra Spiliopoulou (Expert Syst. Appl., 2018)

Visual Analytics for Epidemiology. - Bernhard Preim; Shiva Alemzadeh; Till Ittermann; Paul Klemm; Uli Niemann; Myra Spiliopoulou (Eurographics (Dirk Bartz Prize), 2019)

Exploiting entity information for stream classification over a stream of reviews. - Christian Beyer; Vishnu Unnikrishnan 002; Uli Niemann; Pawel Matuszyk; Eirini Ntoutsi; Myra Spiliopoulou (SAC, 2019)

Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms. - Lena Spitz; Uli Niemann; Oliver Beuing; Belal Neyazi; I. Erol Sandalcioglu; Bernhard Preim; Sylvia Saalfeld (Int. J. Comput. Assist. Radiol. Surg., 2020)

Visual Analysis of Missing Values in Longitudinal Cohort Study Data. - Shiva Alemzadeh; Uli Niemann; Till Ittermann; Henry Völzke; Daniel Schneider; Myra Spiliopoulou; Katja Bühler; Bernhard Preim (Comput. Graph. Forum, 2020)

Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data. - Uli Niemann; Atrayee Neog; Benjamin Behrendt; Kai Lawonn; Matthias Gutberlet; Myra Spiliopoulou; Bernhard Preim; Monique Meuschke (CoRR, 2020)

Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. - Vishnu Unnikrishnan 002; Christian Beyer; Pawel Matuszyk; Uli Niemann; Rüdiger Pryss; Winfried Schlee; Eirini Ntoutsi; Myra Spiliopoulou (Int. J. Data Sci. Anal., 2020)

Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. - Clara Puga; Uli Niemann; Vishnu Unnikrishnan 002; Miro Schleicher; Winfried Schlee; Myra Spiliopoulou (DSAA, 2021)

Intelligent assistance for expert-driven subpopulation discovery in high-dimensional timestamped medical data - Uli Niemann (2021)

Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data. - Uli Niemann; Atrayee Neog; Benjamin Behrendt; Kai Lawonn; Matthias Gutberlet; Myra Spiliopoulou; Bernhard Preim; Monique Meuschke (CBMS, 2022)

Data-Driven Prediction of Athletes' Performance Based on Their Social Media Presence. - Frank Dreyer; Jannik Greif; Kolja Günther; Myra Spiliopoulou; Uli Niemann (DS, 2022)

A cost-based multi-layer network approach for the discovery of patient phenotypes. - Clara Puga; Uli Niemann; Winfried Schlee; Myra Spiliopoulou (CoRR, 2022)

Visual Analytics to Support Treatment Decisions in Late-Stage Melanoma Patients. - Calida Pereira; Uli Niemann; Andreas Dominik Braun; Miriam Mengoni; Thomas Tüting; Bernhard Preim; Monique Meuschke (VCBM, 2023)

GUCCI - Guided Cardiac Cohort Investigation of Blood Flow Data. - Monique Meuschke; Uli Niemann; Benjamin Behrendt; Matthias Gutberlet; Bernhard Preim; Kai Lawonn (IEEE Trans. Vis. Comput. Graph., 2023)

Training and Validating a Treatment Recommender with Partial Verification Evidence. - Vishnu Unnikrishnan 002; Clara Puga; Miro Schleicher; Uli Niemann; Berthold Langguth; Stefan Schoisswohl; Birgit Mazurek; Rilana Cima; Jose Antonio Lopez-Escamez; Dimitrios Kikidis; Eleftheria Vellidou; Rüdiger Pryss; et al. (CoRR, 2024)

Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction. - Miro Schleicher; Petra Brüggemann; Benjamin Böcking; Uli Niemann; Birgit Mazurek; Myra Spiliopoulou (Expert Syst. Appl., 2024)

Training and validating a treatment recommender with partial verification evidence. - Vishnu Unnikrishnan 002; Clara Puga; Miro Schleicher; Uli Niemann; Berthold Langguth; Stefan Schoisswohl; Birgit Mazurek; Rilana Cima; Jose Antonio Lopez-Escamez; Dimitris Kikidis; Eleftheria Vellidou; Rüdiger Pryss; et al. (Artif. Intell. Medicine, 2025)

Impact of workflow variability on image-based intracranial aneurysm hemodynamics. - Samuel Voß; Uli Niemann; Sylvia Saalfeld; Gábor Janiga; Philipp Berg (Comput. Biol. Medicine, 2025)