Yongquan Yang
Ocean University of China(CN)
Publications by Year
Research Areas
Machine Learning and Data Classification, AI in cancer detection, Acute Kidney Injury Research, Digital Imaging for Blood Diseases, Image Processing Techniques and Applications
Most-Cited Works
- → A Survey on ensemble learning under the era of deep learning(2022)310 cited
- → Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer(2021)108 cited
- → Malnutrition affects cholesterol paradox in coronary artery disease: a 41,229 Chinese cohort study(2021)45 cited
- → The global incidence and mortality of contrast-associated acute kidney injury following coronary angiography: a meta-analysis of 1.2 million patients(2021)42 cited
- → A new type of plunge pool—Multi-horizontal submerged jets(2008)33 cited
- → Predicting neoadjuvant chemotherapy benefit using deep learning from stromal histology in breast cancer(2022)30 cited
- → Detecting helicobacter pylori in whole slide images via weakly supervised multi-task learning(2020)29 cited
- → Local minima found in the subparameter space can be effective for ensembles of deep convolutional neural networks(2020)20 cited
- → Hypertension as a Risk Factor for Contrast-Associated Acute Kidney Injury: A Meta-Analysis Including 2,830,338 Patients(2021)20 cited
- → One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer(2024)18 cited