IEEE

Provably Efficient and Fast Technique for Determining the Size of a Brain Tumor in T1 MRI Images

Abstract: This work proposes an efficient a nd effective technique for determining the size of neoplasms in the brain using image processing. The cerebral hemispheres make up the largest part of the ...
GitHub

MATLAB MCP Core Server

Install MATLAB (MathWorks) 2020b or later and add it to the system PATH. matlab-root Full path specifying which MATLAB to start. Do not include /bin in the path. By default, the server tries to find ...
IEEE

Conditional Generative Models for Contrast-Enhanced Synthesis of T1W and T1 Maps in Brain MRI

Abstract: Contrast enhancement by Gadolinium-based contrast agents (GBCAs) is a vital tool for tumor diagnosis in neuroradiology. Based on brain MRI scans of glioblastoma before and after Gadolinium ...
GitHub

Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference

This repo contains the matlab codes to reproduce the results for the paper: Vuong, Nguyen & Goulet (2024), Coupling LSTM Neural Networks and State-Space Models through Analytically Tractable Inference ...
Frontiers

Deep learning model based on DCE-MRI: fusion of 3D features of tumor, peritumoral vessels and metastatic lymph nodes for prediction of pathological complete response to ...

Objective: The aim of this study is to develop a deep learning-based radiomic (DLR) model by fusing 3D features of tumor, peritumoral vessels, and metastatic lymph nodes from dynamic contrast-enhanced ...