40 citations · 94 across the 8 of their papers we have counts for
8 papers
GPT detectors are biased against non-native English writers
Weixin Liang, Mert Yuksekgonul, Yining Mao +2
The rapid adoption of generative language models has brought about substantial advancements in digital communication, while simultaneously raising concerns regarding the potential…
Explaining medical AI performance disparities across sites with confounder Shapley value analysis
Eric Wu, Kevin Wu, James Zou
Medical AI algorithms can often experience degraded performance when evaluated on previously unseen sites. Addressing cross-site performance disparities is key to ensuring that AI…
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
Eric Wu, Kevin Wu, William Lotter
Data scarcity and class imbalance are two fundamental challenges in many machine learning applications to healthcare. Breast cancer classification in mammography exemplifies these…
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
William Lotter, Abdul Rahman Diab, Bryan Haslam +10
Breast cancer remains a global challenge, causing over 1 million deaths globally in 2018. To achieve earlier breast cancer detection, screening x-ray mammography is recommended by…
Validation of a deep learning mammography model in a population with low screening rates
Kevin Wu, Eric Wu, Yaping Wu +4
A key promise of AI applications in healthcare is in increasing access to quality medical care in under-served populations and emerging markets. However, deep learning models are o…
Residual Attention based Network for Hand Bone Age Assessment
Eric Wu, Bin Kong, Xin Wang +8
Computerized automatic methods have been employed to boost the productivity as well as objectiveness of hand bone age assessment. These approaches make predictions according to the…