Fadi B. Nahab

According to our database, Fadi B. Nahab authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training.

Yuzhang Xie, Yuhua Wu, Ruiyu Wang, Fadi B. Nahab, Xiao Hu, Carl Yang

CoRR, March, 2026

2025

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models.

Victoria Yan, Honor Chotkowski, Fengran Wang, Xinhui Li, Jessica L. Saurman, Fadi B. Nahab, David Loring, Carl Yang, Jiaying Lu, Runze Yan, Xiao Hu, Alex Fedorov

CoRR, August, 2025

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

Yuzhang Xie, Hejie Cui, Ziyang Zhang, Jiaying Lu, Kai Shu, Fadi B. Nahab, Xiao-Hu Zhou, Carl Yang

CoRR, July, 2025

2024

Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection Using Eight Million Samples Labeled With Imprecise Arrhythmia Alarms.

Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Amit J. Shah, Duc H. Do, Randall J. Lee, Gari D. Clifford, Fadi B. Nahab, Xiao Hu

IEEE J. Biomed. Health Informatics, May, 2024

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals.

Runze Yan, Cheng Ding, Ran Xiao, Aleksandr Fedorov, Randall J. Lee, Fadi B. Nahab, Xiao Hu

CoRR, 2024

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.

Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals.

Runze Yan, Cheng Ding, Ran Xiao, Alex Fedorov, Randall J. Lee, Fadi B. Nahab, Xiao Hu

Proceedings of the Conference on Health, 2024

2023

Reconsideration on evaluation of machine learning models in continuous monitoring using wearables.

Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Fadi B. Nahab, Xiao Hu

CoRR, 2023