– Automatic Region of Interest (ROI) detection from radiographic images using AI.
– Development of AI-Enabled Computer-Aided Diagnosis and Detection (CAD) systems for automatic disease detection, prediction, intervention, and treatment planning.
– Fundamental research on dependency analysis and empirical study of deep learning methods.
– Bridge medical imaging and artificial intelligence (AI) to develop robust, scalable, and automated diagnostic tools.
– Leverage the advancements in AI and image processing for applications in medical fields such as radiology, pathology, ophthalmology etc.
– Interdisciplinary collaborations with researchers, clinicians, government agencies and industry experts to enhance patient care.
– Secure, privacy-preserving, and explainable AI models to ensure reliability in medical image analysis.
