2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Explainable Transformer Prototypes for Medical Diagnoses
Ugur Demir, Debesh Jha, Zheyuan Zhang +4
Deployments of artificial intelligence in medical diagnostics mandate not just accuracy and efficacy but also trust, emphasizing the need for explainability in machine decisions. T…
eess.IV2023
Ensemble Learning with Residual Transformer for Brain Tumor Segmentation
Lanhong Yao, Zheyuan Zhang, Ulas Bagci
Brain tumor segmentation is an active research area due to the difficulty in delineating highly complex shaped and textured tumors as well as the failure of the commonly used U-Net…
eess.IV2023★ 2 cited
Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation
Zheyuan Zhang, Bin Wang, Lanhong Yao +5
Most statistical learning algorithms rely on an over-simplified assumption, that is, the train and test data are independent and identically distributed. In real-world scenarios, h…