2 papers
eess.IV2024
Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection
Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao +3
Current deep learning-based models typically analyze medical images in either 2D or 3D albeit disregarding volumetric information or suffering sub-optimal performance due to the an…
cs.LG2024
Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction
Kai Zhao, Zuojie He, Alex Hung +1
Recent studies have suggested frequency-domain Data augmentation (DA) is effec tive for time series prediction. Existing frequency-domain augmentations disturb the original data wi…