Amir Akbarnejad

Publications by Year

Research Areas

Adversarial Robustness in Machine Learning, AI in cancer detection, Advanced Graph Neural Networks, Cell Image Analysis Techniques, Single-cell and spatial transcriptomics

Most-Cited Works

• → Adversarial Attacks on Neural Networks for Graph Data(2018)973 cited
• → Adversarial Attacks on Graph Neural Networks(2020)96 cited
• Adversarial Attacks on Classification Models for Graphs(2018)
• → Toward Accurate Deep Learning-Based Prediction of Ki67, ER, PR, and HER2 Status From H&E-Stained Breast Cancer Images(2025)8 cited
• → Text/Conference Paper(2019)4 cited
• → Deep Fisher Vector Coding For Whole Slide Image Classification(2021)3 cited
• → GPEX, A Framework For Interpreting Artificial Neural Networks(2021)2 cited
• → Mapping and reprogramming human tissue microenvironments with MintFlow(2025)2 cited
• → Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images(2023)2 cited