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1. Automatic-Multiple-Sclerosis-Lesion-Tracking Automatic-Multiple-Sclerosis-Lesion-Tracking Public

   MS Lesion Tracking with unsupervised learning methods. Used Non-Linear Dimensionality Reduction Techniques to track MS lesions in Brain MRI images

   Jupyter Notebook

2. Image-Denoising-with-Pytorch-Autograd Image-Denoising-with-Pytorch-Autograd Public

   Remove noise from an image with pytorch autograd engine. Loss function defined below uses L1 norm then uses L2 norm..

   Python 1

3. LSTM-training-on-MNIST-dataset LSTM-training-on-MNIST-dataset Public

   Trained an LSTM with GRU gates on MNIST dataset (numbers). GRU was proposed to tackle the exploding and vanishing gradients problems.

4. DALP DALP Public

   This is the implementation of Diffusion Model for Active Lesion Prediction (DALP) accepted for poster presentation at ISBI 2024

   Python

5. MedicalCBM-Concept-Bottleneck-Model-for-Medical-Image-Classification MedicalCBM-Concept-Bottleneck-Model-for-Medical-Image-Classification Public

   The goal of this project is to leverage works from LABEL-FREE CONCEPT BOTTLENECK MODELS, Oikarinen et al, 2023 & Language in a Bottle, Yang et al, 2023

   Jupyter Notebook 3

6. Debiasing-Chest-X-Rays-with-StyleGAN Debiasing-Chest-X-Rays-with-StyleGAN Public

   This repository is code for debiasing large chest X-ray datasets using StyleGAN3. We use code from HiddenInPlainSight repository to demonstrate our methods robustness agains adversarial attacks

   Jupyter Notebook