Toral Patel

ProFit-1D was adapted to fit J-difference edited spectra at 3T and showed higher accuracy and precision than existing software for estimating metabolite concentrations.

This paper develops a deep learning model using T2-w MRI to predict MGMT promoter methylation in gliomas, achieving higher accuracy than histological methods.

This paper develops a deep learning model using T2-weighted MRI to classify 1p/19q co-deletion status in brain gliomas with high accuracy.

This study evaluates motion artifact effects on glioma marker classification using deep learning and develops a motion correction network to restore classification accuracy.

The paper withdraws its manuscript due to errors in analysis and requests it not be cited.