Jinzhu Yang
Northeastern University(CN)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Brain Tumor Detection and Classification, Advanced Neural Network Applications
Most-Cited Works
- → Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction(2020)224 cited
- → Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation(2024)103 cited
- → Eight pairs of descending visual neurons in the dragonfly give wing motor centers accurate population vector of prey direction(2012)94 cited
- → Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation(2023)88 cited
- → Prediction of acute coronary syndrome within 3 years using radiomics signature of pericoronary adipose tissue based on coronary computed tomography angiography(2021)69 cited
- → MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT(2021)68 cited
- → Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures(2017)61 cited
- → TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis(2021)61 cited
- → Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning(2021)60 cited
- → BrainTGL: A dynamic graph representation learning model for brain network analysis(2023)56 cited