1 citations · 1 across the 6 of their papers we have counts for
6 papers
Benchmarking Video Foundation Models for Remote Parkinson's Disease Screening
Md Saiful Islam, Ekram Hossain, Abdelrahman Abdelkader +11
Video-based assessments offer a scalable pathway for remote Parkinson's disease (PD) screening. While traditional approaches rely on handcrafted features mimicking clinical scales,…
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis
Md Saiful Islam, Tariq Adnan, Jan Freyberg +8
Limited accessibility to neurological care leads to underdiagnosed Parkinson's Disease (PD), preventing early intervention. Existing AI-based PD detection methods primarily focus o…
Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation
Masum Hasan, Cengiz Ozel, Nina Long +5
Hand pose estimation plays a vital role in capturing subtle nonverbal cues essential for understanding human affect. However, collecting diverse, expressive real-world data remains…
A Novel Fusion Architecture for PD Detection Using Semi-Supervised Speech Embeddings
Tariq Adnan, Abdelrahman Abdelkader, Zipei Liu +4
We present a framework to recognize Parkinson's disease (PD) through an English pangram utterance speech collected using a web application from diverse recording settings and envir…
PULSAR: Graph based Positive Unlabeled Learning with Multi Stream Adaptive Convolutions for Parkinson's Disease Recognition
Md. Zarif Ul Alam, Md Saiful Islam, Ehsan Hoque +1
Parkinson's disease (PD) is a neuro-degenerative disorder that affects movement, speech, and coordination. Timely diagnosis and treatment can improve the quality of life for PD pat…
PARK: Parkinson's Analysis with Remote Kinetic-tasks
Md Saiful Islam, Sangwu Lee, Abdelrahman Abdelkader +2
We present a web-based framework to screen for Parkinson's disease (PD) by allowing users to perform neurological tests in their homes. Our web framework guides the users to comple…