2 papers
eess.IV2025
Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
Feifei Zhang, Zhenhong Jia, Sensen Song +3
Medical image segmentation is constrained by sparse pathological annotations. Existing augmentation strategies, from conventional transforms to random masking for self-supervision,…
cs.CV2025
Rethinking Convergence in Deep Learning: The Predictive-Corrective Paradigm for Anatomy-Informed Brain MRI Segmentation
Feifei Zhang, Zhenhong Jia, Sensen Song +2
Despite the remarkable success of the end-to-end paradigm in deep learning, it often suffers from slow convergence and heavy reliance on large-scale datasets, which fundamentally l…