146 citations · 147 across the 3 of their papers we have counts for
3 papers
eess.SP2025
An Interpretable Transformer-Based Foundation Model for Cross-Procedural Skill Assessment Using Raw fNIRS Signals
A. Subedi, S. De, L. Cavuoto +3
Objective skill assessment in high-stakes procedural environments requires models that not only decode underlying cognitive and motor processes but also generalize across tasks, in…
eess.SP2025★ 1 cited
End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills
Aseem Subedi, Rahul, Lora Cavuoto +4
The real-time assessment of complex motor skills presents a challenge in fields such as surgical training and rehabilitation. Recent advancements in neuroimaging, particularly func…
q-bio.NC2022★ 146 cited
Deep Learning in fNIRS: A review
Condell Eastmond, Aseem Subedi, Suvranu De +1
Significance: Optical neuroimaging has become a well-established clinical and research tool to monitor cortical activations in the human brain. It is notable that outcomes of funct…