CAMP-eXplain-AI

CAMP-eXplain-AI

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CAMP-eXplain-AI's repositories

InputIBA

NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information

Style-CheXplain

GAN-based method to create counterfactual explanations for chest X-rays

Language:PythonLicense:MITStargazers:22Issues:0Issues:0
Language:Jupyter NotebookStargazers:13Issues:2Issues:0

PathwayGrad

CVPR 2021 | Code to reproduce the results of the paper: A Khakzar, S Baselizadeh, S Khanduja, C Rupprecht, ST Kim, N Navab, Neural Response Interpretation through the Lens of Critical Pathways

RoarTorch

CVPR 2021 | Metrics for evaluating interpretability methods.

Language:PythonLicense:MITStargazers:9Issues:3Issues:0

CheXplain-IBA

MICCAI 2021 | Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

Language:Jupyter NotebookLicense:MITStargazers:7Issues:2Issues:0

CheXplain-Dissection

MICCAI 2021 | Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models

Language:Jupyter NotebookStargazers:5Issues:3Issues:0
Language:PythonLicense:MITStargazers:2Issues:0Issues:0