2024

Uli Niemann, Benjamin Boecking, Petra Brueggemann, Myra Spiliopoulou, and Birgit Mazurek. Heterogeneity in response to treatment across tinnitus phenotypes. 2024.

Miro Schleicher, Petra Brüggemann, Benjamin Böcking, Uli Niemann, Birgit Mazurek, and Myra Spiliopoulou. Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction. Expert Systems with Applications, (239):122336, Elsevier BV, April 2024. URL

2023

Clara Puga, Uli Niemann, Winfried Schlee, and Myra Spiliopoulou. A cost-based multi-layer network approach for the discovery of patient phenotypes. International Journal of Data Science and Analytics, Springer Science and Business Media LLC, July 2023. URL

Jorge Piano Simoes, Stefan Schoisswohl, Winfried Schlee, Laura Basso, Alberto Bernal-Robledano, Benjamin Boecking, Rilana Cima, Sam Denys, Milena Engelke, Alba Escalera-Balsera, Alvaro Gallego-Martinez, Silvano Gallus, Dimitris Kikidis, Jose A Lopez-Escamez, Steven C Marcrum, Nikolaos Markatos, Juan Martin-Lagos, Marta Martinez-Martinez, Birgit Mazurek, Evgenia Vassou, Carlotta Micaela Jarach, Nicolas Mueller-Locatelli, Patrick Neff, Uli Niemann, Hafez Kader Omar, Clara Puga, Miro Schleicher, Vishnu Unnikrishna, Patricia Perez-Carpena, Rüdiger Pryss, Paula Robles-Bolivar, Matthias Rose, Martin Schecklmann, Tabea Schiele, Johannes Schobel, Myra Spiliopoulou, Sabine Stark, Carsten Vogel, Nina Wunder, Zoi Zachou, and Berthold Langguth. The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT). Trials, (24)1:472, Springer, 2023.

2022

Uli Niemann, Atrayee Neog, Benjamin Behrendt, Kai Lawonn, Matthias Gutberlet, Myra Spiliopoulou, Bernhard Preim, and Monique Meuschke. Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data. Proc. of Computer-Based Medical Systems (CBMS), 416-421, 2022. URL

Frank Dreyer, Jannik Greif, Kolja Günther, Myra Spiliopoulou, and Uli Niemann. Data-Driven Prediction of Athletes' Performance based on their Social Media Presence. In Pascal Poncelet, and Dino Ienco (Eds.), Discovery Science, 197-211, Springer Nature Switzerland, 2022. URL

Petra Brueggemann, Wilhelm Mebus, Benjamin Boecking, Nyamaa Amarjargal, Uli Niemann, Myra Spiliopoulou, Christian Dobel, Matthias Rose, and Birgit Mazurek. Dimensions of Tinnitus-Related Distress. Brain Sciences, (12)22022. URL

Clara Puga, Miro Schleicher, Uli Niemann, Vishnu Unnikrishnan, Benjamin Boecking, Petra Brueggemann, Jorge Simoes, Berthold Langguth, Winfried Schlee, Birgit Mazurek, and Myra Spiliopoulou. Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors. In Andreas K. Maier (Eds.), Frontiers in Neuroscience, (16)Frontiers Media SA, March 2022. URL

2021

Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, and Myra Spiliopoulou. Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 1--10, IEEE, 2021. URL

Winfried Schlee, Stefan Schoisswohl, Susanne Staudinger, Axel Schiller, Astrid Lehner, Berthold Langguth, Martin Schecklmann, Jorge Simoes, Patrick Neff, Steven C Marcrum, Myra Spiliopoulou, Uli Niemann, Miro Schleicher, Vishnu Unnikrishnan, Clara Puga, Lena Mulansky, Ruediger Pryss, Carsten Vogel, Johannes Allgaier, Efi Giannopoulou, Katalin Birki, Klairi Liakou, Rilana Cima, Johan W S Vlaeyen, Nicolas Verhaert, Saskia Ranson, Birgit Mazurek, Petra Brueggemann, Benjamin Boecking, Nyamaa Amarjargal, Sandy Specht, Alexandra Stege, Michael Hummel, Matthias Rose, Kevin Oppel, Juliane Dettling-Papargyris, Jose Antonio Lopez-Escamez, Sana Amanat, Alvaro Gallego-Martinez, Alba Escalera-Balsera, Juan Manuel Espinosa-Sanchez, Juan Garcia-Valdecasas, Maria Mata-Ferron, Juan Martin-Lagos, Maria Martinez-Martinez, María Jesús Martinez-Martinez, Nicolas Müller-Locatelli, Patricia Perez-Carpena, Jorge Alcazar-Beltran, Leyre Hidalgo-Lopez, Eleftheria Vellidou, Michalis Sarafidis, Panagiotis Katrakazas, Vassileia Kostaridou, Dimitris Koutsouris, Rano Manta, Evangelos Paraskevopoulos, Maria Haritou, Ana Belén Elgoyhen, Hazel Goedhart, Michael Koller, Giriraj Singh Shekhawat, Holger Crump, Ronny Hannemann, Marc Holfelder, Timon Oberholzer, Apostolos Vontas, Ilias Trochidis, Vicky Moumtzi, Christopher R Cederroth, Konstantina Koloutsou, George Spanoudakis, Ioannis Basdekis, Silvano Gallus, Alessandra Lugo, Chiara Stival, Elisa Borroni, Nikolaos Markatos, Athanasios Bibas, and Dimitris Kikidis. Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. Progress in brain research, (260):441—451, 2021. URL

Anne Rother, Uli Niemann, Tommy Hielscher, Henry Völzke, Till Ittermann, and Myra Spiliopoulou. Assessing the difficulty of annotating medical data in crowdworking with help of experiments. PLOS ONE, (16)7:1-26, Public Library of Science, July 2021. URL

Uli Niemann. Intelligent Assistance for Expert-Driven Subpopulation Discovery in High-Dimensional Timestamped Medical Data. 2021. URL

Monique Meuschke, Uli Niemann, Benjamin Behrendt, Matthias Gutberlet, Bernhard Preim, and Kai Lawonn. GUCCI - Guided Cardiac Cohort Investigation of Blood Flow Data. IEEE Transactions on Visualization and Computer Graphics, 1-1, 2021. URL

2020

S. Alemzadeh, U. Niemann, T. Ittermann, H. Völzke, D. Schneider, M. Spiliopoulou, K. Bühler, and B. Preim. Visual Analysis of Missing Values in Longitudinal Cohort Study Data. Computer Graphics Forum, (39)1:63-75, 2020. URL

Uli Niemann, Petra Brueggemann, Benjamin Boecking, Matthias Rose, Myra Spiliopoulou, and Birgit Mazurek. Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison. Scientific Reports, (10)1:16411, 2020. URL

Uli Niemann, Benjamin Boecking, Petra Brueggemann, Birgit Mazurek, and Myra Spiliopoulou. Gender-Specific Differences in Patients With Chronic Tinnitus—Baseline Characteristics and Treatment Effects. Frontiers in Neuroscience, (14):487, 2020. URL

Lena Spitz, Uli Niemann, Oliver Beuing, Belal Neyazi, I. Erol Sandalcioglu, Bernhard Preim, and Sylvia Saalfeld. Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms. International Journal of Computer Assisted Radiology and Surgery, (15)9:1525--1535, 2020. URL

Uli Niemann, Atrayee Neog, Benjamin Behrendt, Kai Lawonn, Matthias Gutberlet, Myra Spiliopoulou, Bernhard Preim, and Monique Meuschke. Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data. arXiv preprint arXiv:2010.05612, 2020.

Uli Niemann, Benjamin Boecking, Petra Brueggemann, Wilhelm Mebus, Birgit Mazurek, and Myra Spiliopoulou. Tinnitus-related distress after multimodal treatment can be characterized using a key subset of baseline variables. PLOS ONE, (15)1:1-18, Public Library of Science, January 2020. URL

Uli Niemann, Petra Brueggemann, Benjamin Boecking, Birgit Mazurek, and Myra Spiliopoulou. Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics. Scientific Reports, (10)1:4664, 2020. URL

Uli Niemann, Myra Spiliopoulou, Jan Malanowski, Juliane Kellersmann, Thorsten Szczepanski, Silke Klose, Eirini Dedonaki, Isabell Walter, Antao Ming, and Peter R. Mertens. Plantar temperatures in stance position: A comparative study with healthy volunteers and diabetes patients diagnosed with sensoric neuropathy. EBioMedicine, (54):102712, 2020. URL

2019

Bernhard Preim, Shiva Alemzadeh, Till Ittermann, Paul Klemm, Uli Niemann, and Myra Spiliopoulou. Visual Analytics for Epidemiological Cohort Studies. Proc. of Eurographics Medical Price, 2019. URL

Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, and Myra Spiliopoulou. Exploiting Entity Information for Stream Classification over a Stream of Reviews. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 564-573, ACM, 2019. URL

Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, and Myra Spiliopoulou. Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. International Journal of Data Science and Analytics, 2019. URL

2018

Rohith Ravindran, Uli Niemann, Silke Klose, Isabell Walter, Antao Ming, Peter Mertens, and Myra Spiliopoulou. Transformation of Temperature Timeseries into Features that Characterize Patients with Diabetic Autonomic Nerve Disorder. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 65-70, 2018.

Sourabh Dandage, Johannes Huber, Atin Janki, Uli Niemann, Rüdiger Pryss, Manfred Reichert, Steve Harrison, Markku Vessala, Winfried Schlee, Thomas Probst, and Myra Spiliopoulou. Patient Empowerment Through Summarization of Discussion Threads on Treatments in a Patient Self-help Forum. In Nicos Maglaveras, Ioanna Chouvarda, and Paulo de Carvalho (Eds.), Precision Medicine Powered by pHealth and Connected Health: ICBHI 2017, Thessaloniki, Greece, 18-21 November 2017, 229-233, Springer Singapore, 2018. URL

Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, and Myra Spiliopoulou. Predicting Document Polarities on a Stream without Reading their Contents. Proceedings of the Symposium on Applied Computing (SAC), 2018.

Tommy Hielscher, Uli Niemann, Bernhard Preim, Henry Völzke, Till Ittermann, and Myra Spiliopoulou. A Framework for Expert-Driven Subpopulation Discovery and Evaluation Using Subspace Clustering for Epidemiological Data. Expert Systems with Applications, (113):147 - 160, 2018. URL

Uli Niemann, Philipp Berg, Annika Niemann, Oliver Beuing, Bernhard Preim, Myra Spiliopoulou, and Sylvia Saalfeld. Rupture Status Classification of Intracranial Aneurysms Using Morphological Parameters. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 48-53, 2018.

Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Ruediger Pryss, Winfried Schlee, Eirini Ntoutsi, and Myra Spiliopoulou. Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. 2018.

Paras Multani, Uli Niemann, Mario Cypko, Jens-Peter Kühn, Henry Völzke, Steffen Oeltze-Jafra, and Myra Spiliopoulou. Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study. Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), 88-93, 2018.

2017

Shiva Alemzadeh, Tommy Hielscher, Uli Niemann, Lena Cibulski, Till Ittermann, Henry Völzke, Myra Spiliopoulou, and Bernhard Preim. Subpopulation Discovery and Validation in Epidemiological Data. In Michael Sedlmair, and Christian Tominski (Eds.), EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 2017.

Uli Niemann, Myra Spiliopoulou, Bernhard Preim, Till Ittermann, and Henry Völzke. Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data. Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), 582-587, 2017.

Kai Nie, Sylvia Glaßer, Uli Niemann, Gabriel Mistelbauer, and Bernhard Preim. Classification of DCE-MRI Data for Breast Cancer Diagnosis Combining Contrast Agent Dynamics and Texture Features. Bildverarbeitung für die Medizin (BVM), 325-330, Springer Verlag, Heidelberg, 2017.

Shiva Alemzadeh, Uli Niemann, Till Ittermann, Henry Völzke, Daniel Schneider, Myra Spiliopoulou, and Bernhard Preim. Visual Analytics of Missing Data in Epidemiological Cohort Studies. Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), 43-52, 2017.

Miro Schleicher, Till Ittermann, Uli Niemann, Henry Völzke, and Myra Spiliopoulou. ICE: Interactive Classification Rule Exploration on Epidemiological Data. Proc. of the 30th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS17), 606-611, Thessaloniki, Greece, 2017.

2016

Uli Niemann, Myra Spiliopoulou, Fred Samland, Thorsten Szczepanski, Jens Grützner, Antao Ming, Juliane Kellersmann, Jan Malanowski, Silke Klose, and Peter R. Mertens. Learning Pressure Patterns for Patients with Diabetic Foot Syndrome. Proc. of the 29th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS16), IEEE, Dublin, Ireland and Belfast, Northern Ireland, June 2016.

Uli Niemann, Myra Spiliopoulou, Thorsten Szczepanski, Fred Samland, Jens Grützner, Dominik Senk, Antao Ming, Juliane Kellersmann, Jan Malanowski, Silke Klose, and Peter R. Mertens. Comparative Clustering of Plantar Pressure Distributions in Diabetics with Polyneuropathy May Be Applied to Reveal Inappropriate Biomechanical Stress. PLoS ONE, (11)8:1-12, Public Library of Science, August 2016. URL

2015

Uli Niemann, Tommy Hielscher, Myra Spiliopoulou, Henry Völzke, and Jens-Peter Kühn. Can we classify the participants of a longitudinal epidemiological study from their previous evolution?. Proc. of the 28th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS15), 121-126, IEEE, São Carlos and Ribeirão Preto, Brazil, June 2015. URL

Paul Klemm, Kai Lawonn, Sylvia Glaßer, Uli Niemann, Katrin Hegenscheid, Henry Völzke, and Bernhard Preim. 3D Regression Heat Map Analysis of Population Study Data. IEEE Transactions on Visualization and Computer Graphics (TVCG), (22)1:81-90, 2015.

2014

Uli Niemann, Henry Völzke, Jens-Peter Kühn, and Myra Spiliopoulou. Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. Expert Systems with Applications, (41)11:5405-5415, Elsevier BV, September 2014. URL

Uli Niemann, Myra Spiliopoulou, Henry Völzke, and Jens-Peter Kühn. Subpopulation Discovery in Epidemiological Data with Subspace Clustering. Foundations of Computing and Decision Sciences (FCDS), (39)4:271-300, 2014. URL

Uli Niemann, Myra Spiliopoulou, Henry Völzke, and Jens-Peter Kühn. Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. In Calders et al. (Eds.), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014) - DEMO TRACK, (8726):460-463, Springer Berlin Heidelberg, 2014. URL

2013

Sylvia Glaßer, Uli Niemann, Uta Preim, Bernhard Preim, and Myra Spiliopoulou. Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. In Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, and Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2013, 45-50, Springer Berlin Heidelberg, 2013. URL

S. Glaßer, U. Niemann, B. Preim, and M. Spiliopoulou. Can we distinguish between benign and malignant breast tumors in DCE-MRI by studying a tumor's most suspect region only?. Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on, 77-82, June 2013. URL