Figure 1: Image-to-image translations using Deep Neural Networks

Figure 2: Training results from different models

Figure 3: Train loss and test loss curves

Title: Empirical evaluation of Image-to-image translations: SSIM Quality Map

Frameworks investigated: FCN, U-Net, Densenet, GAN.

Figure 1: Training dataset for healthy subjects

Accuracy plots coming soon....

Title: Categorical classification of MRI images using Deep Learning

Designed and developed a deep learning framework using Tensorflow libraries for categorical classification of 4 types of brain tumors.

Scaled the project to run on Tensorflow GPU processors.