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

1 citations · 2 across the 6 of their papers we have counts for

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6 papers

eess.IV20251 cited

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.IV20251 cited

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

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…

eess.IV2025

AI and Deep Learning for Automated Segmentation and Quantitative Measurement of Spinal Structures in MRI

Praveen Shastry, Bhawana Sonawane, Kavya Mohan +9

Background: Accurate spinal structure measurement is crucial for assessing spine health and diagnosing conditions like spondylosis, disc herniation, and stenosis. Manual methods fo…