Evaluating XAI methods through ablation studies.
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Updated
Jul 2, 2024 - Python
Evaluating XAI methods through ablation studies.
Repository contains codes to run REACT mapping algorithm. REACT maps are a novel approach to identify organized islands in atrial fibrillation.
Targeted semantic multimodal input ablation. Official implementation of the ablation method introduced in the paper: "What Vision-Language Models 'See' when they See Scenes"
Distribution transparent Machine Learning experiments on Apache Spark
Cardiac recordings plotting and analysis tool
Model Ablation Tool-Kit for Deep Learning Model
Feng et al. Front Cardiovasc Med. 2023 Oct 2;10:1189293. doi: 10.3389/fcvm.2023.1189293. eCollection 2023.
Hypersonic / Rarefied gas dynamics code developments (GPL-3.0)
Explainability of Brain Tumour Segmentation Models
Explainability of Deep Learning Models
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
Working with Chest X-Ray (CXR) images : Medical Imaging
Library to compute 3D surface-distances for evaluating liver ablation/tumor completeness based on segmentation images.
Python package to perform statistical tests on paired data
A Loci/CHEM module to model material ablation.
A Loci/CHEM module to implement a reacting wall boundary condition to model carbon oxidation.
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