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Ravi P. Ramachandran

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review

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Sep 24, 2024
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Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation

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Jun 18, 2024
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Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond

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Nov 28, 2023
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Targeted Background Removal Creates Interpretable Feature Visualizations

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Jun 22, 2023
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Revisiting the Fragility of Influence Functions

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Mar 22, 2023
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EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models

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Mar 15, 2023
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Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review

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Mar 11, 2023
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Transformers in Time-series Analysis: A Tutorial

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Apr 28, 2022
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Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks

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Jul 28, 2021
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