92 citations · 101 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Unmasking Parkinson's Disease with Smile: An AI-enabled Screening Framework
Tariq Adnan, Md Saiful Islam, Wasifur Rahman +6
We present an efficient and accessible PD screening method by leveraging AI-driven models enabled by the largest video dataset of facial expressions from 1,059 unique participants.…
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models
Md Kamrul Hasan, Md Saiful Islam, Sangwu Lee +4
Pre-trained large language models have recently achieved ground-breaking performance in a wide variety of language understanding tasks. However, the same model can not be applied t…
Using AI to Measure Parkinson's Disease Severity at Home
Md Saiful Islam, Wasifur Rahman, Abdelrahman Abdelkader +6
We present an artificial intelligence system to remotely assess the motor performance of individuals with Parkinson's disease (PD). Participants performed a motor task (i.e., tappi…