Riqiang Gao

Latest

• Body Part Regression With Self-Supervision
• Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements
• Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk
• Development and characterization of a chest CT atlas
• High-resolution 3D abdominal segmentation with random patch network fusion
• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
• Pancreas CT Segmentation by Predictive Phenotyping
• Phase identification for dynamic CT enhancements with generative adversarial network
• Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging
• Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks
• Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
• Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans
• Contrast phase classification with a generative adversarial network
• Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging
• Development and Characterization of a Chest CT Atlas
• Internal-transfer weighting of multi-task learning for lung cancer detection
• Learning from dispersed manual annotations with an optimized data weighting policy
• Multi-path xD recurrent neural networks for collaborative image classification
• Outlier guided optimization of abdominal segmentation
• Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records
• Semi-supervised Machine Learning with MixMatch and Equivalence Classes
• Semi-supervised multi-organ segmentation through quality assurance supervision
• Time-distanced gates in long short-term memory networks
• Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives
• Validation and optimization of multi-organ segmentation on clinical imaging archives
• Distanced LSTM: time-distanced gates in long short-term memory models for lung cancer detection