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2020 – today
- 2024
[j8]Miro Schleicher
, Petra Brüggemann, Benjamin Böcking, Uli Niemann, Birgit Mazurek, Myra Spiliopoulou:
Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction. Expert Syst. Appl. 239: 122336 (2024)- [i4]Vishnu Unnikrishnan, Clara Puga, Miro Schleicher, Uli Niemann, Berthold Langguth, Stefan Schoisswohl, Birgit Mazurek, Rilana Cima, Jose Antonio Lopez-Escamez, Dimitrios Kikidis, Eleftheria Vellidou, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou:
Training and Validating a Treatment Recommender with Partial Verification Evidence. CoRR abs/2406.06654 (2024) - 2023
- [j7]Monique Meuschke, Uli Niemann, Benjamin Behrendt, Matthias Gutberlet, Bernhard Preim, Kai Lawonn:
GUCCI - Guided Cardiac Cohort Investigation of Blood Flow Data. IEEE Trans. Vis. Comput. Graph. 29(3): 1876-1892 (2023) - [c21]Calida Pereira, Uli Niemann, Andreas Dominik Braun, Miriam Mengoni, Thomas Tüting, Bernhard Preim, Monique Meuschke:
Visual Analytics to Support Treatment Decisions in Late-Stage Melanoma Patients. VCBM 2023: 1-11 - 2022
- [c20]Uli Niemann, Atrayee Neog, Benjamin Behrendt, Kai Lawonn, Matthias Gutberlet, Myra Spiliopoulou, Bernhard Preim, Monique Meuschke:
Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data. CBMS 2022: 416-421 - [c19]Frank Dreyer, Jannik Greif, Kolja Günther, Myra Spiliopoulou, Uli Niemann:
Data-Driven Prediction of Athletes' Performance Based on Their Social Media Presence. DS 2022: 197-211 - [i3]Clara Puga, Uli Niemann, Winfried Schlee, Myra Spiliopoulou:
A cost-based multi-layer network approach for the discovery of patient phenotypes. CoRR abs/2209.09032 (2022) - 2021
- [b1]Uli Niemann:
Intelligent assistance for expert-driven subpopulation discovery in high-dimensional timestamped medical data. University of Halle, Germany, 2021 - [c18]Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, Myra Spiliopoulou:
Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. DSAA 2021: 1-10 - 2020
- [j6]Lena Spitz, Uli Niemann, Oliver Beuing, Belal Neyazi, I. Erol Sandalcioglu, Bernhard Preim, Sylvia Saalfeld:
Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1525-1535 (2020) - [j5]Shiva Alemzadeh, Uli Niemann, Till Ittermann, Henry Völzke, Daniel Schneider, Myra Spiliopoulou, Katja Bühler, Bernhard Preim:
Visual Analysis of Missing Values in Longitudinal Cohort Study Data. Comput. Graph. Forum 39(1): 63-75 (2020) - [j4]Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou:
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. Int. J. Data Sci. Anal. 9(1): 1-15 (2020) - [i2]Uli Niemann, Atrayee Neog, Benjamin Behrendt, Kai Lawonn, Matthias Gutberlet, Myra Spiliopoulou, Bernhard Preim, Monique Meuschke:
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data. CoRR abs/2010.05612 (2020)
2010 – 2019
- 2019
- [c17]Bernhard Preim, Shiva Alemzadeh, Till Ittermann, Paul Klemm, Uli Niemann, Myra Spiliopoulou:
Visual Analytics for Epidemiology. Eurographics (Dirk Bartz Prize) 2019: 9-12 - [c16]Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou:
Exploiting entity information for stream classification over a stream of reviews. SAC 2019: 564-573 - 2018
- [j3]Tommy Hielscher, Uli Niemann, Bernhard Preim, Henry Völzke, Till Ittermann, Myra Spiliopoulou:
A framework for expert-driven subpopulation discovery and evaluation using subspace clustering for epidemiological data. Expert Syst. Appl. 113: 147-160 (2018) - [c15]Uli Niemann, Philipp Berg, Annika Niemann, Oliver Beuing, Bernhard Preim, Myra Spiliopoulou, Sylvia Saalfeld:
Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters. CBMS 2018: 48-53 - [c14]Rohith Ravindran, Uli Niemann, Silke Klose, Isabell Walter, Antao Ming, Peter R. Mertens, Myra Spiliopoulou:
Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder. CBMS 2018: 65-70 - [c13]Paras Multani, Uli Niemann, Mario A. Cypko, Jens-Peter Kuehn, Henry Völzke, Steffen Oeltze-Jafra, Myra Spiliopoulou:
Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. CBMS 2018: 88-93 - [c12]Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou:
Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. DSAA 2018: 246-255 - [c11]Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou:
Predicting polarities of entity-centered documents without reading their contents. SAC 2018: 525-528 - 2017
- [c10]Kai Nie, Sylvia Glaßer, Uli Niemann, Gabriel Mistelbauer, Bernhard Preim:
Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features. Bildverarbeitung für die Medizin 2017: 325-330 - [c9]Uli Niemann, Myra Spiliopoulou, Bernhard Preim, Till Ittermann, Henry Völzke:
Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data. CBMS 2017: 582-587 - [c8]Miro Schleicher, Till Ittermann, Uli Niemann, Henry Völzke, Myra Spiliopoulou:
ICE: Interactive Classification Rule Exploration on Epidemiological Data. CBMS 2017: 606-611 - [c7]Shiva Alemzadeh, Uli Niemann, Till Ittermann, Henry Völzke, Daniel Schneider, Myra Spiliopoulou, Bernhard Preim:
Visual Analytics of Missing Data in Epidemiological Cohort Studies. VCBM 2017: 43-51 - [c6]Shiva Alemzadeh, Tommy Hielscher, Uli Niemann, Lena Cibulski, Till Ittermann, Henry Völzke, Myra Spiliopoulou, Bernhard Preim:
Subpopulation Discovery and Validation in Epidemiological Data. EuroVA@EuroVis 2017: 43-47 - [i1]Shiva Alemzadeh, Tommy Hielscher, Uli Niemann, Lena Cibulski, Till Ittermann, Henry Völzke, Myra Spiliopoulou, Bernhard Preim:
Visual Subpopulation Discovery and Validation in Cohort Study Data. CoRR abs/1711.09377 (2017) - 2016
- [j2]Paul Klemm, Kai Lawonn, Sylvia Glaßer, Uli Niemann, Katrin Hegenscheid, Henry Völzke, Bernhard Preim:
3D Regression Heat Map Analysis of Population Study Data. IEEE Trans. Vis. Comput. Graph. 22(1): 81-90 (2016) - [c5]Uli Niemann, Myra Spiliopoulou, Fred Samland, Thorsten Szczepanski, Jens Grützner, Antao Ming, Juliane Kellersmann, Jan Malanowski, Silke Klose, Peter R. Mertens:
Learning Pressure Patterns for Patients with Diabetic Foot Syndrome. CBMS 2016: 54-59 - 2015
- [c4]Uli Niemann, Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Can We Classify the Participants of a Longitudinal Epidemiological Study from Their Previous Evolution? CBMS 2015: 121-126 - 2014
- [j1]Uli Niemann, Henry Völzke, Jens-Peter Kühn, Myra Spiliopoulou:
Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. Expert Syst. Appl. 41(11): 5405-5415 (2014) - [c3]Uli Niemann, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. ECML/PKDD (3) 2014: 460-463 - 2013
- [c2]Sylvia Glaßer, Uli Niemann, Uta Preim, Bernhard Preim, Myra Spiliopoulou:
Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. Bildverarbeitung für die Medizin 2013: 45-50 - [c1]Sylvia Glaßer, Uli Niemann, Bernhard Preim, Myra Spiliopoulou:
Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only? CBMS 2013: 77-82
Coauthor Index
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