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Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'
Interactive visualization of classification model's decisions (Using Grad-CAM theorem and Animint2 R package), which can help researches understand mechanisms of computer vision models' decisions
Repository for the 'best student paper award' winning paper at the IEEE 35th International Symposium on Computer Based Medical Systems (CBMS 2022), Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography, Mahbub Ul Alam, Jón Rúnar Baldvinsson and Yuxia Wang. https://doi.org/10.11…
Chest X-Ray COVID-19 Detection. Work presented at the Ethics and Explainability for Responsible Data Science (EE-RDS 2021) Conference. IEEE Paper: https://ieeexplore.ieee.org/document/9708580