In light of medical biases and variability of Aphasia classes, determining the severity of the
Aphasia disorder warrants the use of machine learning to properly leverage patient data for …

Aphasia is an acquired language disorder resulting from damage to language related
networks of the brain, most often as a result of ischemic stroke or traumatic brain injury …

This paper explores feature selection and fusion methods for predicting the clinical outcome
of post-stroke aphasia from medical imaging data. Utilizing a multimodal neuroimaging …

Speech language pathologists need an accurate assessment of the severity of people with
aphasia (PWA) to design and provide the best course of therapy. Currently, severity is …

Aphasia is a language disorder that affects the speaking ability of millions of patients. This
paper presents a new benchmark for Aphasia speech recognition and detection tasks using …

In this systematic literature review, the intersection of deep learning applications within the
aphasia domain is meticulously explored, acknowledging the condition's complex nature …

Aphasia, a language disorder resulting from brain damage, requires accurate identification
of specific aphasia types, such as Broca's and Wernicke's aphasia, for effective treatment …

Aphasia is an acquired language disorder that occurs after brain injury such as stroke, head
trauma or tumor. People with aphasia (PWA) may have trouble speaking or under-standing …

The rehabilitation of aphasics is fundamentally based on the assessment of speech
impairment. Developing methods for assessing speech impairment automatically is …

Two variants of primary progressive aphasia (PPA) are subtypes of frontotemporal
degeneration (FTD), which is the most common type of dementia among individuals under …