9 citations · 12 across the 13 of their papers we have counts for
4 papers · 1 filter
XVAE-WMT: Explainable Wavelet-Temporal Variational Autoencoder for Blind Source Separation of Heart and Lung Sounds
Yasaman Torabi, Shahram Shirani, James P. Reilly
The separation of cardiovascular sounds is a critical task in biomedical signal processing. In this paper, we introduce XVAE-WMT1, an unsupervised explainable generative AI algorit…
Physics-Informed Graph Neural Network for Inverse Design of Integrated Photonic Biosensors
Yasaman Torabi, Amirali Ekhteraei, Mohammad Khajezadeh
Integrated photonic biosensors provide compact, highly sensitive, and label-free platforms for biochemical detection, making them attractive for on-chip and real-time sensing appli…
AI-Driven Cardiorespiratory Signal Processing: Separation, Clustering, and Anomaly Detection
Yasaman Torabi
This research applies artificial intelligence (AI) to separate, cluster, and analyze cardiorespiratory sounds. We recorded a new dataset (HLS-CMDS) and developed several AI models,…
NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model Reasoning
Yasaman Torabi, Parsa Razmara, Hamed Ajorlou +1
Large Language Models (LLMs) have demonstrated strong semantic reasoning across multimodal domains. However, their integration with graph-based models of brain connectivity remains…