5 papers
Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning
Shaohan Chen, Zheyan Liu, Huili Zheng +2
Cardiovascular disease (CVD) persists as a primary cause of death on a global scale, which requires more effective and timely detection methods. Traditional supervised learning app…
Graphical Structural Learning of rs-fMRI data in Heavy Smokers
Yiru Gong, Qimin Zhang, Huili Zheng +2
Recent studies revealed structural and functional brain changes in heavy smokers. However, the specific changes in topological brain connections are not well understood. We used Ga…
Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning
Huili Zheng, Qimin Zhang, Yiru Gong +2
Lung cancer remains a leading cause of cancer-related deaths globally, with non-small cell lung cancer (NSCLC) being the most common subtype. This study aimed to identify key bioma…
CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 dataset
Qimin Zhang, Weiwei Qi, Huili Zheng +1
Accurately segmenting brain tumors from MRI scans is important for developing effective treatment plans and improving patient outcomes. This study introduces a new implementation o…
Harnessing XGBoost for Robust Biomarker Selection of Obsessive-Compulsive Disorder (OCD) from Adolescent Brain Cognitive Development (ABCD) data
Xinyu Shen, Qimin Zhang, Huili Zheng +1
This study evaluates the performance of various supervised machine learning models in analyzing highly correlated neural signaling data from the Adolescent Brain Cognitive Developm…