Yingxin Cao

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Invariant Representation

Mri Segmentation

Gradient Boosting

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Ying Wang, Pengfei Zhao, Hongkai Du, Yingxin Cao, Qinke Peng, Laiyi Fu
LncDLSM: Identification of Long Non-Coding RNAs With Deep Learning-Based Sequence Model. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Xiaoxuan Fu, Youhua Wang, Abdelkader Nasreddine Belkacem, Yingxin Cao, Hao Cheng, Xiaohu Zhao, Shenghua Chen, Chao Chen
Interictal Spike and Loss of Hippocampal Theta Rhythm Recorded by Deep Brain Electrodes during Epileptogenesis. Sensors 22 (3) (2022)
Yingxin Cao, Laiyi Fu, Jie Wu, Qinke Peng, Qing Nie, Jing Zhang, Xiaohui Xie
SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration. Bioinform. 37 (Supplement) (2021)
Yeeleng Scott Vang, Yingxin Cao, Peter D. Chang, Daniel S. Chow, Alexander Ulrich Brandt, Friedemann Paul, Michael Scheel, Xiaohui Xie
SynergyNet: A Fusion Framework for Multiple Sclerosis Brain MRI Segmentation with Local Refinement. ISBI (2020)
Yeeleng Scott Vang, Yingxin Cao, Xiaohui Xie
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction. ABCD-NP@MICCAI (2019)
Yeeleng Scott Vang, Yingxin Cao, Xiaohui Xie
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction. CoRR (2019)