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Training and validating a treatment recommender with partial verification evidence., , , , , , , , , and 4 other author(s). Artif. Intell. Medicine, (2025)Training and validating a treatment recommender with partial verification evidence, , , , , , , , , and 4 other author(s). Artificial Intelligence in Medicine, (2024)Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI, , , , , , , , , and 70 other author(s). 260, page 441-451. Elsevier, (2021)Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach., , , , , , , , , and 5 other author(s). CBMS, page 605-611. IEEE, (2025)Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data*., , , , and . EMBC, page 816-819. IEEE, (2021)Single versus Combination Treatment in Tinnitus: A Randomized, Multicenter Trial, , , , , , , , , and 40 other author(s). medRxiv, (2024)Smartphone-Guided Educational Counseling and Self-Help for Chronic Tinnitus, , , , , , , , , and 1 other author(s). Journal of Clinical Medicine, 11 (7): 1825 (2022)The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT), , , , , , , , , and 31 other author(s). Trials, 24 (1): 472 (2023)Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment, , , , , , , , , and . PLOS Digital Health, 2 (1): e0000183 (2023)