Powered by purpose: Ruksana Giurda

How do you turn brainwaves into better hearing? Meet Ruksana Giurda, the multi-modal classification expert bridging the gap between neuroscience and hearing aid technology. In this video, we go behind the scenes with Ruksana as she bridges the gap between lab research and real-world hearing solutions....

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Powered by purpose: Ruksana Giurda

A systematic review of machine learning techniques for real-time speech and noise classification in hearing aids

Real-time brain-controlled selective hearing enhances speech perception in multi-talker environments

ASEAF: Attention-SincNet driven EEG-audio fused target speaker extraction network

In-ear EEG wearables for brain activity assessment and cognitive rehabilitation: the emerging role of multimodal embedded intelligence

AI Virtual Patients in Audiology Education: Student and Educator Perspectives

How AI Can Aid Care Coordination for Patients Experiencing Dizziness

Deep learning for discriminating cochlear malformations on temporal bone CT

What AI May Have in Store for Hearing Care