Jiaang Yao
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View article: Semi-pessimistic Reinforcement Learning
Semi-pessimistic Reinforcement Learning Open
Offline reinforcement learning (RL) aims to learn an optimal policy from pre-collected data. However, it faces challenges of distributional shift, where the learned policy may encounter unseen scenarios not covered in the offline data. Add…
View article: Technical challenges in developing chronic adaptive deep brain stimulation for Parkinson’s disease
Technical challenges in developing chronic adaptive deep brain stimulation for Parkinson’s disease Open
View article: Neural Oscillations Inform Deep Brain Stimulation For Cognitive And Motor Symptoms In Parkinson’s Disease
Neural Oscillations Inform Deep Brain Stimulation For Cognitive And Motor Symptoms In Parkinson’s Disease Open
View article: Personalized neural biomarker optimization improves classification of medication state in Parkinson’s disease
Personalized neural biomarker optimization improves classification of medication state in Parkinson’s disease Open
View article: Chronic adaptive deep brain stimulation versus conventional stimulation in Parkinson’s disease: a blinded randomized feasibility trial
Chronic adaptive deep brain stimulation versus conventional stimulation in Parkinson’s disease: a blinded randomized feasibility trial Open
View article: Personalized chronic adaptive deep brain stimulation outperforms conventional stimulation in Parkinson’s disease
Personalized chronic adaptive deep brain stimulation outperforms conventional stimulation in Parkinson’s disease Open
1. Abstract Deep brain stimulation is a widely used therapy for Parkinson’s disease (PD) but currently lacks dynamic responsiveness to changing clinical and neural states. Feedback control has the potential to improve therapeutic effective…
View article: A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers
A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers Open
Within the next 1.5 decades, 1 in 7 U.S. adults is anticipated to suffer from age-related macular degeneration (AMD), a degenerative retinal disease which leads to blindness if untreated. Optical coherence tomography angiography (OCTA) has…
View article: A Hybrid Deep Learning System to Distinguish Late Stages of AMD and to Compare Expert vs. Machine AMD Risk Features
A Hybrid Deep Learning System to Distinguish Late Stages of AMD and to Compare Expert vs. Machine AMD Risk Features Open
View article: Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning
Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning Open
We present a deep learning approach that can be used to suppress the BCG artifact in EEG-fMRI without the use of additional hardware. This method may have scope to be combined with current hardware methods, operate in real-time and be used…