publications

2024

1. VSF-Med: A Vulnerability Scoring Framework for Medical Vision-Language Models

   Binesh Sadanandan ,  and  Vahid Behzadan

   arXiv preprint arXiv:2507.00052, 2024

   Abs

   As medical institutions increasingly adopt Vision-Language Models (VLMs) for clinical decision support, understanding and mitigating their security vulnerabilities becomes critical. This research introduces VSF-Med, a comprehensive vulnerability scoring framework designed specifically for evaluating the robustness of medical AI systems against adversarial attacks.

2. Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics

   Binesh Sadanandan ,  and  Vahid Behzadan

   Under Review, 2024

   Abs

   We hypothesize that integrating data-driven PBPK modeling with RL-based decision support systems can significantly improve the precision and efficacy of cancer treatments. By personalizing therapy regimens and optimizing dosing strategies, we aim to enhance treatment outcomes, reduce toxicities, and offer a more targeted approach to cancer therapy.

2023

1. Analysis of Fault Detection in Medical Devices Leveraging Generative Machine Learning Methods

   Binesh Sadanandan ,  Bahareh Arghavani Nobar ,  and  Vahid Behzadan

   Submitted, 2023

   Abs

   The study investigated predictive and preventive maintenance strategies in medical devices, emphasizing fault detection techniques that utilize data, signal, process, or knowledge-based methods. These innovative techniques are critical for preempting failures that could lead to safety concerns or compromised device performance.