works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.HC2026

HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states

Jathushan Kaetheeswaran, Boyi Ma, Ali Abedi +2

The paper introduces HEART-Watch, a dataset of synchronized ECG, PPG, and accelerometer data from Google Pixel smartwatches collected from 40 healthy adults in sitting, standing, a…

cs.LG2025

Classifying Clinical Outcome of Epilepsy Patients with Ictal Chirp Embeddings

Nooshin Bahador, Milad Lankarany

This study presents a pipeline leveraging t-Distributed Stochastic Neighbor Embedding (t-SNE) for interpretable visualizations of chirp features across diverse outcome scenarios. T…

cs.LG2025

Semi-Supervised Anomaly Detection Pipeline for SOZ Localization Using Ictal-Related Chirp

Nooshin Bahador, Milad Lankarany

This study presents a quantitative framework for evaluating the spatial concordance between clinically defined seizure onset zones (SOZs) and statistically anomalous channels ident…

cs.CL2025

Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge

Mohammad Reza Rezaei, Reza Saadati Fard, Jayson L. Parker +2

Large Language Models (LLMs) have significantly advanced medical question-answering by leveraging extensive clinical data and medical literature. However, the rapid evolution of me…

cs.LG2025

Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling

Mohammad R. Rezaei, Milos R. Popovic, Milad Lankarany +1

Conditional Flow Matching (CFM) models can generate high-quality samples from a non-informative prior, but they can be slow, often needing hundreds of network evaluations (NFE). To…

eess.AS2025

Chirp Localization via Fine-Tuned Transformer Model: A Proof-of-Concept Study

Nooshin Bahador, Milad Lankarany

Spectrograms are pivotal in time-frequency signal analysis, widely used in audio processing and computational neuroscience. Chirp-like patterns in electroencephalogram (EEG) spectr…