3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Adaptive Low Rank Adaptation of Segment Anything to Salient Object Detection
Ruikai Cui, Siyuan He, Shi Qiu
Foundation models, such as OpenAI's GPT-3 and GPT-4, Meta's LLaMA, and Google's PaLM2, have revolutionized the field of artificial intelligence. A notable paradigm shift has been t…
eess.IV2022★ 2 cited
A Trustworthy Framework for Medical Image Analysis with Deep Learning
Kai Ma, Siyuan He, Pengcheng Xi +3
Computer vision and machine learning are playing an increasingly important role in computer-assisted diagnosis; however, the application of deep learning to medical imaging has cha…
cs.LG2021★ 3 cited
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications
Siyuan He, Pengcheng Xi, Ashkan Ebadi +2
Effective representation learning is the key in improving model performance for medical image analysis. In training deep learning models, a compromise often must be made between pe…