most citedResidual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024★ 7 cited

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification

Meryem Altin Karagoz, O. Ufuk Nalbantoglu, Geoffrey C. Fox

Deep learning has proven very promising for interpreting MRI in brain tumor diagnosis. However, deep learning models suffer from a scarcity of brain MRI datasets for effective trai…

cs.CR2023

Report on 2023 CyberTraining PI Meeting, 26-27 September 2023

Geoffrey Fox, Mary P Thomas, Sajal Bhatia +20

This document describes a two-day meeting held for the Principal Investigators (PIs) of NSF CyberTraining grants. The report covers invited talks, panels, and six breakout sessions…