Shunxing Bao

Latest

• A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data
• Attention-Guided Supervised Contrastive Learning for Semantic Segmentation
• Body Part Regression With Self-Supervision
• CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns
• Compound Figure Separation of Biomedical Images with Side Loss
• Construction of a multi-phase contrast computed tomography kidney atlas
• Development and characterization of a chest CT atlas
• High-resolution 3D abdominal segmentation with random patch network fusion
• 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
• Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior
• Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks
• Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation
• Validation and estimation of spleen volume via computer-assisted segmentation on clinically acquired CT scans
• Development and Characterization of a Chest CT Atlas
• Learning from dispersed manual annotations with an optimized data weighting policy
• Multi-Contrast Computed Tomography Healthy Kidney Atlas
• Multi-Contrast Computed Tomography Healthy Kidney Atlas
• Multi-path xD recurrent neural networks for collaborative image classification
• Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records
• Time-distanced gates in long short-term memory networks
• 3D whole brain segmentation using spatially localized atlas network tiles
• Cortical surface parcellation using spherical convolutional neural networks
• Distanced LSTM: time-distanced gates in long short-term memory models for lung cancer detection
• Stochastic tissue window normalization of deep learning on computed tomography
• Adversarial synthesis learning enables segmentation without target modality ground truth
• Fully convolutional neural networks improve abdominal organ segmentation
• Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks
• Synseg-net: Synthetic segmentation without target modality ground truth