• 2025
  Saak S, Kothe A, Buhl M, Kollmeier B, Comparison of user interfaces for measuring the matrix sentence test on a smartphone., Int J Audiol 2025 Jul; 64(7): 745-757.
• 2025
  Saak S, Oetting D, Kollmeier B, Buhl M, Integrating Audiological Datasets via Federated Merging of Auditory Profiles., Trends Hear 2025 ; 29(): 23312165251349617.
• 2024
  Angonese G, Buhl M, Kuhlmann I, Kollmeier B, Hildebrandt A, Prediction of Hearing Help Seeking to Design a Recommendation Module of an mHealth Hearing App: Intensive Longitudinal Study of Feature Importance Assessment., JMIR Hum Factors 2024 Aug; 11(): e52310.
• 2024
  Morvan P, Buisson-Savin J, Boiteux C, Bailly-Masson E, Buhl M, Thai-Van H, Factors in the Effective Use of Hearing Aids among Subjects with Age-Related Hearing Loss: A Systematic Review., J Clin Med 2024 Jul; 13(14): .
• 2024
  Xu C, Hülsmeier D, Buhl M, Kollmeier B, How Does Inattention Influence the Robustness and Efficiency of Adaptive Procedures in the Context of Psychoacoustic Assessments via Smartphone?, Trends Hear 2024 ; 28(): 23312165241288051.
• 2022
  Hülsmeier D, Buhl M, Wardenga N, Warzybok A, Schädler MR, Kollmeier B, Inference of the distortion component of hearing impairment from speech recognition by predicting the effect of the attenuation component., Int J Audiol 2022 Mar; 61(3): 205-219.
• 2022
  Buhl M, Interpretable Clinical Decision Support System for Audiology Based on Predicted Common Audiological Functional Parameters (CAFPAs)., Diagnostics (Basel) 2022 Feb; 12(2): .
• 2022
  Buhl M, Akin G, Saak S, Eysholdt U, Radeloff A, Kollmeier B, Hildebrandt A, Expert validation of prediction models for a clinical decision-support system in audiology., Front Neurol 2022 ; 13(): 960012.
• 2022
  Saak S, Huelsmeier D, Kollmeier B, Buhl M, A flexible data-driven audiological patient stratification method for deriving auditory profiles., Front Neurol 2022 ; 13(): 959582.
• 2021
  Mousavi H, Buhl M, Guiraud E, Drefs J, Lücke J, Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data., Entropy (Basel) 2021 Apr; 23(5): .
• 2021
  Buhl M, Warzybok A, Schädler MR, Kollmeier B, Sensitivity and specificity of automatic audiological classification using expert-labelled audiological data and Common Audiological Functional Parameters., Int J Audiol 2021 Jan; 60(1): 16-26.
• 2020
  Buhl M, Warzybok A, Schädler MR, Majdani O, Kollmeier B, Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set., Int J Audiol 2020 Jul; 59(7): 534-547.
• 2020
  Saak SK, Hildebrandt A, Kollmeier B, Buhl M, Predicting Common Audiological Functional Parameters (CAFPAs) as Interpretable Intermediate Representation in a Clinical Decision-Support System for Audiology., Front Digit Health 2020 ; 2(): 596433.
• 2019
  Buhl M, Warzybok A, Schädler MR, Lenarz T, Majdani O, Kollmeier B, Common Audiological Functional Parameters (CAFPAs): statistical and compact representation of rehabilitative audiological classification based on expert knowledge., Int J Audiol 2019 Apr; 58(4): 231-245.