Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
3 papers
Recent·Most cited
G. K. Murugesan, D. McCrumb, E. Brunner…·S. Moore
This paper develops a residual UNet model for abdominal multi-organ segmentation using CT and MRI scans, achieving high Dice scores in held-out tests.
G. K. Murugesan, D. Mccrumb, E. Brunner…·S. Moore
The paper develops a deep learning method using residual UNET and adaptive ensemble for automated FDG PET/CT lesion segmentation, achieving a dice score of 0.5541 on a test dataset.
G. K. Murugesan, S. Nalawade, C. G. Bangalore Yogananda…·J. A. Maldjian
BrainNET, a machine learning method for fMRI network inference, outperforms correlation and partial correlation in identifying brain network changes in ADHD.