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  • Ganapathy Krishnamurthi

Ganapathy Krishnamurthi

Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation
Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules
Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net
Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
Deep Learning Model for Chest X-ray Imaging
Interpretability of Deep Learning Models in Healthcare
Towards Autonomous PDE Solvers Automated Generation of Robust Numerical
Deep learning in biomedical image analysis
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Founded in August 2017, with a vision to become an internationally renowned centre for data science research, where long-standing fundamental research problems, cutting across disciplines, are targeted and solved.

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