1 citations · 1 across the 2 of their papers we have counts for
4 papers
CONSULT: Contrastive Self-Supervised Learning for Few-shot Tumor Detection
Sin Chee Chin, Xuan Zhang, Lee Yeong Khang +1
Artificial intelligence aids in brain tumor detection via MRI scans, enhancing the accuracy and reducing the workload of medical professionals. However, in scenarios with extremely…
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure
Xuan Zhang, Sin Chee Chin, Tingxuan Gao +1
In real-world scenarios, deep learning models often face challenges from both imbalanced (long-tailed) and out-of-distribution (OOD) data. However, existing joint methods rely on r…
Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound Imaging
Jintong Hu, Hui Che, Zishuo Li +1
Ultrasound imaging is crucial for evaluating organ morphology and function, yet depth adjustment can degrade image quality and field-of-view, presenting a depth-dependent dilemma.…
Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising
Jintong Hu, Bin Xia, Bingchen Li +1
Deep learning-based denoiser has been the focus of recent development on image denoising. In the past few years, there has been increasing interest in developing self-supervised de…