codes for MD758 parcellation method and analysis

Classification of Brain tumor

What started off as a simple hybridized brain tumor detection idea led to the detection of possible rare cases of tumor through thorough features examination of the MRI scans casted away as "No Tumor" by the GAN-CNN hybrid model.

A brain MRI segmentation tool that provides accurate robust segmentation of problematic brain regions across the neurodegenerative spectrum. The methodology is generalisable to perform well with the typical variance in MRI acquisition parameters and other factors that influence image contrast.

Convert source DICOM, PAR REC or NIFTI image data to BIDS directory layout

A repository for editing mri images

dMRI Distortion Correction: A Deep Learning-based Registration Approach

Toolkit for the Empirical Design of Stereotactic Brain Implants

A python library for creating memoized data and code for neuroimaging pipelines

A differentiable program for mapping brain function

Brain encoder/decoder for visual and textual stimuli | Made as a part of Cognitive Science and AI (Spring'22)

BMI-Brain Volume-Cognitive Function

U-Net from Scratch for Brain Tumor Segmentation

MATLAB Application & Toolbox for fNIRS data processing and visualization

MNE-CAMCAN for processing the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) MEG dataset using MNE-Python

A repository for plotting information from mri images

Computer-Aided Diagnosis (CAD) Tool for frontotemporal dementia (FTD) based on Deep Learning and Explainable AI (MD3-Cam). The model uses 3D T1-weighted MRI brain scans. The paper has been published in Life journal.

Publicly available code for "A flexible hub connectivity mechanism for cognitive control". Manuscript in-preparation. Part of C. Cocuzza's dissertation (Aim 3).