Publications by authors named "Alfred Ultsch"

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Recursive computed ABC (cABC) analysis as a precise method for reducing machine learning based feature sets to their minimum informative size.
Jörn Lötsch, Alfred Ultsch

Sci Rep· April 2023

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Sleep and Aging. A Polysomnographic Follow-Up Study, Some 40 Years Later.
Peter Geisler, Renate Wehrle, Alexander Yassouridis, Alfred Ultsch, Thomas C Wetter

J Sleep Res· December 2025

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Augmenting small biomedical datasets using generative AI methods based on self-organizing neural networks.
Alfred Ultsch, Jörn Lötsch

Brief Bioinform· November 2024

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Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling).
Jörn Lötsch, Sebastian Malkusch, Alfred Ultsch

PLoS One· July 2024

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Revisiting Fold-Change Calculation: Preference for Median or Geometric Mean over Arithmetic Mean-Based Methods.
Jörn Lötsch, Dario Kringel, Alfred Ultsch

Biomedicines· July 2024

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Machine learning identifies right index finger tenderness as key signal of DAS28-CRP based psoriatic arthritis activity.
Samuel Rischke, Sorwe Mojtahed Poor, Robert Gurke, Lisa Hahnefeld, Michaela Köhm, Alfred Ultsch

Sci Rep· December 2023

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A perspective of randomness in a clinical test of olfactory performance.
Jörn Lötsch, Thomas Hummel, Alfred Ultsch

Sci Rep· October 2023

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Comments on the importance of visualizing the distribution of pain-related data.
Jörn Lötsch, Alfred Ultsch

Eur J Pain· August 2023

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Identification of critical hemodilution by artificial intelligence in bone marrow assessed for minimal residual disease analysis in acute myeloid leukemia: The Cinderella method.
Joerg Hoffmann, Michael C Thrun, Maximilian A Röhnert, Malte von Bonin, Uta Oelschlägel, Alfred Ultsch

Cytometry A· April 2023

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Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia.
Joerg Hoffmann, Semil Eminovic, Christian Wilhelm, Stefan W Krause, Andreas Neubauer, Alfred Ultsch

Curr Oncol· February 2023

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Artificial intelligence and machine learning in pain research: a data scientometric analysis.
Jörn Lötsch, Alfred Ultsch, Benjamin Mayer, Dario Kringel

Pain Rep· November 2022

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A Bioinformatics View on Acute Myeloid Leukemia Surface Molecules by Combined Bayesian and ABC Analysis.
Michael C Thrun, Elisabeth K M Mack, Andreas Neubauer, Torsten Haferlach, Miriam Frech, Alfred Ultsch

Bioengineering (Basel)· November 2022

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Robust Classification Using Posterior Probability Threshold Computation Followed by Voronoi Cell Based Class Assignment Circumventing Pitfalls of Bayesian Analysis of Biomedical Data.
Alfred Ultsch, Jörn Lötsch

Int J Mol Sci· November 2022

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Flow cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods.
Michael C Thrun, Jörg Hoffmann, Maximilian Röhnert, Malte von Bonin, Uta Oelschlägel, Alfred Ultsch

Data Brief· August 2022

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Euclidean distance-optimized data transformation for cluster analysis in biomedical data (EDOtrans).
Alfred Ultsch, Jörn Lötsch

BMC Bioinformatics· June 2022

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Data-science based analysis of perceptual spaces of odors in olfactory loss.
Jörn Lötsch, Alfred Ultsch, Antje Hähner, Vivien Willgeroth, Moustafa Bensafi

Sci Rep· May 2021

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A non-parametric effect-size measure capturing changes in central tendency and data distribution shape.
Jörn Lötsch, Alfred Ultsch

PLoS One· November 2020

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Analyzing the fine structure of distributions.
Michael C Thrun, Tino Gehlert, Alfred Ultsch

PLoS One· November 2020

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Uncovering High-dimensional Structures of Projections from Dimensionality Reduction Methods.
Michael C Thrun, Alfred Ultsch

MethodsX· October 2020

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Clustering benchmark datasets exploiting the fundamental clustering problems.
Michael C Thrun, Alfred Ultsch

Data Brief· June 2020

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Data-science-based subgroup analysis of persistent pain during 3 years after breast cancer surgery: A prospective cohort study.
Jörn Lötsch, Alfred Ultsch, Eija Kalso

Eur J Anaesthesiol· March 2020

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Distribution Optimization: An evolutionary algorithm to separate Gaussian mixtures.
Florian Lerch, Alfred Ultsch, Jörn Lötsch

Sci Rep· January 2020

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Current Projection Methods-Induced Biases at Subgroup Detection for Machine-Learning Based Data-Analysis of Biomedical Data.
Jörn Lötsch, Alfred Ultsch

Int J Mol Sci· December 2019

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Computational functional genomics-based reduction of disease-related gene sets to their key components.
Catharina Lippmann, Alfred Ultsch, Jörn Lötsch

Bioinformatics· July 2019

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Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.
Jörn Lötsch, Susanne Schiffmann, Katja Schmitz, Robert Brunkhorst, Florian Lerch, Alfred Ultsch

Sci Rep· October 2018

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