Tarsem Singh

Baddi University of Emerging Sciences and Technologies

Papers

Total Citations

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About

Tarsem Singh is a leading researcher at the intersection of artificial intelligence and medical imaging, with a primary focus on deep learning applications for neurological diagnostics. His most impactful work centers on enhancing the accuracy of automated tumor detection, particularly through his landmark 2023 study on pituitary tumor identification from MRI scans. In this highly cited paper (9 citations), Singh pioneered the use of the EfficientNet-B0 architecture for robotic tumor recognition, demonstrating how optimized convolutional neural networks can achieve remarkable precision in identifying these critical brain lesions. His contributions are vital for enabling faster, more reliable diagnosis and personalized treatment planning, directly addressing a pressing need in clinical radiology. By bridging the gap between advanced machine learning models and practical medical robotics, Singh's research has established new benchmarks for accuracy in neuro-oncology imaging. His work not only showcases the transformative potential of AI in healthcare but also provides a scalable framework for detecting other intracranial abnormalities, positioning him as an influential voice in the future of automated medical diagnostics.