Chaitanya C. V. Ramayanam

GITAM University, University of Southern California

Papers

Total Citations

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About

Chaitanya C. V. Ramayanam is a researcher at the forefront of applying deep learning to dental healthcare, with a focused expertise in computer vision and medical imaging. His most impactful work centers on the automated detection of dental fillings, a critical task for comprehensive oral health diagnostics. In his landmark 2021 paper, "Mask RCNN with RESNET50 for Dental Filling Detection," Ramayanam pioneered the use of a Mask R-CNN architecture combined with a ResNet-50 backbone to identify and segment dental fillings from radiographic images. This work, garnering 5 citations, directly addressed the challenge of assisting dentists in efficiently diagnosing tooth damage and prior restorations. Building on this foundation, his 2024 study, "Advancements in Dental Filling Detection Technologies and Strategies for Comprehensive Oral Health Care," expanded the scope to include broader strategies for integrating AI into clinical workflows, earning 4 citations. By leveraging convolutional neural networks, Ramayanam’s contributions help mitigate the global shortage of dental professionals, providing tools that enhance diagnostic accuracy and reduce manual workload. His research bridges the gap between artificial intelligence and practical dentistry, offering scalable solutions for early detection and treatment planning in oral healthcare.