Work

Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Computer-Based Medical Systems (CBMS)

DOI: 10.1109/cbms65348.2025.00127

Authors: Hafez Kader, Steven C. Marcrum, Milena Engelke, Niklas K. Edvall, Berthold Langguth, Birgit Mazurek, Jose Antonio Lopez-Escamez, Dimitrios Kikidis, Rilana Cima, Patrick Neff, Winfried Schlee, Christopher R. Cederroth, Benjamin Noack, Myra Spiliopoulou, Stefan Schoisswohl

Institutions: Otto-von-Guericke-Universität Magdeburg, University Hospital Regensburg, University of Regensburg, Karolinska Institutet, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charité - Universitätsmedizin Berlin, The University of Sydney, National and Kapodistrian University of Athens, Hippocration General Hospital, KU Leuven, University of Zurich, University Hospital Zurich

Language: English

Topic: Hearing, Cochlea, Tinnitus, Genetics

Subfield: Sensory Systems

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4412021343

FWCI:

Cites: 36

Cited by:

Related to: 10