Research

See our most recent papers & publications.

Using Traditional Machine Learning Techniques for Predicting the Best Clinical Outcomes On Improvement In Vas, Mod And Ncos Based Upon Clinical And …

Estimation Of Bias Of Deep Learning-Based Chest X-Ray Classification Algorithm​ PURPOSE OR LEARNING OBJECTIVE: To evaluate the bias in the diagnostic performance …

Why Standardisation Of Pre-Inferencing Image Processing Methods Is Crucial For Deep Learning Algorithms – A Compelling Evidence Based On The Variations In …

Enhanced Separation Of Brain Tumors And Edema Via Diffusion Tensor Distribution Imaging: Illustration With Lymphoma Cases PURPOSE OR LEARNING OBJECTIVE: To investigate …

Implementation Of Fast Echo-Planar Imaging (EPImix) MRI Sequence For Scan Time Reduction In Critical And Unco-Operative Patients​ PURPOSE OR LEARNING OBJECTIVE: To …

All True Positives Are Not Truly Positive – Utility Of Explainability Failure Ratio In A High Sensitivity Screening Setting To Compare Incorrect …

Move Away HIPAA And GDPR, Here Comes CrypTFlow – Secure AI Inferencing Without Data Sharing TEACHING POINTS:  Currently, running Artificial Intelligence (AI) …

Clinical Experience Using Novel Multidimensional Diffusion Magnetic Resonance Imaging For Characterization Of Tissue Microstructure In Various Brain Pathologies TEACHING POINTS: Multidimensional diffusion …

Validation Of Expert System Enhanced Deep Learning Algorithm For Automated Screening For COVID-Pneumonia On Chest X-Rays

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