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Ganapathy Krishnamurthi
Ganapathy Krishnamurthi
MedPAO: A Protocol-Driven Agent for Structuring Medical Reports
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Multifunctional combustion-synthesized nano-ceria: insights into ex-vivo goat cartilage tissue internalization and bioimaging
Unsupervised Deep Learning Algorithm for Artifact Reduction in X-Ray CT Reconstruction From Truncated Data
Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT
Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts
Physics informed contour selection for rapid image segmentation
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
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
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis