36 citations · 71 across the 4 of their papers we have counts for
4 papers
Lung cancer screening with low-dose CT scans using a deep learning approach
Jason L. Causey, Yuanfang Guan, Wei Dong +4
Lung cancer is the leading cause of cancer deaths. Early detection through low-dose computed tomography (CT) screening has been shown to significantly reduce mortality but suffers…
Highly accurate model for prediction of lung nodule malignancy with CT scans
Jason Causey, Junyu Zhang, Shiqian Ma +6
Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It rem…
EBIC: an evolutionary-based parallel biclustering algorithm for pattern discover
Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang +1
In this paper a novel biclustering algorithm based on artificial intelligence (AI) is introduced. The method called EBIC aims to detect biologically meaningful, order-preserving pa…
Polynomial kernels collapse the W-hierarchy
Liang Ding, Abdul Samad, Xingran Xue +2
We prove that, for many parameterized problems in the class FPT, the existence of polynomial kernels implies the collapse of the W-hierarchy (i.e., W[P] = FPT). The collapsing resu…