Adversarial Robustness in Deep Learning-Based Pneumonia Detection from Chest X-Rays

This publication has 12 references indexed in Scilit:

• Diagnosing Respiratory Variability: Convolutional Neural Networks for Chest X-ray Classification Across Diverse Pulmonary Conditions
  Journal of Imaging Informatics in Medicine, 2024
• Adversarial robustness enhancement in deep learning-based breast cancer classification: A multi-faceted approach to poisoning and Evasion attack mitigation
  Alexandria Engineering Journal, 2024
• From Binary to Multi-Class Classification: A Two-Step Hybrid CNN-ViT Model for Chest Disease Classification Based on X-Ray Images
  Diagnostics, 2024
• Enhancing Paediatric Healthcare: Deep Learning-Based Pneumonia Diagnosis from Children's Chest X-rays
  2024
• Unveiling Hidden Variables in Adversarial Attack Transferability on Pre-Trained Models for COVID-19 Diagnosis
  International Journal of Advanced Computer Science and Applications, 2024
• Enhancing Large Language Models’ Utility for Medical Question-Answering: A Patient Health Question Summarization Approach
  2023
• Convolutional Siamese neural network for few-shot multi-view face identification
  Signal, Image and Video Processing, 2023
• Supervised Machine Learning for Breast Cancer Risk Factors Analysis and Survival Prediction
  2023
• A Survey on Adversarial Deep Learning Robustness in Medical Image Analysis
  Electronics, 2021
• Acute Pneumonia and Its Complications
  2018