collaborators

8 papers

eess.IV2025

Autonomous AI for Multi-Pathology Detection in Chest X-Rays: A Multi-Site Study in the Indian Healthcare System

Bargava Subramanian, Shajeev Jaikumar, Praveen Shastry +6

Study Design: The study outlines the development of an autonomous AI system for chest X-ray (CXR) interpretation, trained on a vast dataset of over 5 million X rays sourced from he…

eess.IV2025

Vision-Language Models for Acute Tuberculosis Diagnosis: A Multimodal Approach Combining Imaging and Clinical Data

Ananya Ganapthy, Praveen Shastry, Naveen Kumarasami +7

Background: This study introduces a Vision-Language Model (VLM) leveraging SIGLIP and Gemma-3b architectures for automated acute tuberculosis (TB) screening. By integrating chest X…

eess.IV2025

A Multi-Site Study on AI-Driven Pathology Detection and Osteoarthritis Grading from Knee X-Ray

Bargava Subramanian, Naveen Kumarasami, Praveen Shastry +6

Introduction: Bone health disorders like osteoarthritis and osteoporosis pose major global health challenges, often leading to delayed diagnoses due to limited diagnostic tools. Th…

eess.IV2025

AI-Driven MRI Spine Pathology Detection: A Comprehensive Deep Learning Approach for Automated Diagnosis in Diverse Clinical Settings

Bargava Subramanian, Naveen Kumarasami, Praveen Shastry +7

Study Design: This study presents the development of an autonomous AI system for MRI spine pathology detection, trained on a dataset of 2 million MRI spine scans sourced from diver…

eess.IV2025

Advancing Chronic Tuberculosis Diagnostics Using Vision-Language Models: A Multi modal Framework for Precision Analysis

Praveen Shastry, Sowmya Chowdary Muthulur, Naveen Kumarasami +8

Background: This study proposes a Vision-Language Model (VLM) leveraging the SIGLIP encoder and Gemma-3b transformer decoder to enhance automated chronic tuberculosis (TB) screenin…

eess.IV2025

3D Convolutional Neural Networks for Improved Detection of Intracranial bleeding in CT Imaging

Bargava Subramanian, Naveen Kumarasami, Praveen Shastry +8

Background: Intracranial bleeding (IB) is a life-threatening condition caused by traumatic brain injuries, including epidural, subdural, subarachnoid, and intraparenchymal hemorrha…