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1. 3D-Medical-Imaging-Preprocessing-All-you-need 3D-Medical-Imaging-Preprocessing-All-you-need Public

   This Repo Will contain the Preprocessing Code for 3D Medical Imaging

   Jupyter Notebook 198 36

2. AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets Public

   This study presents the development and validation of AI models for both nodule detection and cancer classification tasks. This benchmarking across multiple datasets establishes the DLCSD as a reli…

   Jupyter Notebook 16 1

3. CVIT_ReviCOVID19 CVIT_ReviCOVID19 Public

   Using COVID-19 as a case study, this virtual imaging trial study verified that radiology AI models often suffer from a reproducibility crisis.

   Python 1

4. 3D-GuidedGradCAM-for-Medical-Imaging 3D-GuidedGradCAM-for-Medical-Imaging Public

   This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input …

   Python 104 7

5. WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature Public

   This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical …

   Python 24 4

6. multi-label-weakly-supervised-classification-of-body-ct multi-label-weakly-supervised-classification-of-body-ct Public

   A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multipl…

   Python 8 1