Guotai Wang
0000-0002-8632-158X
University of Electronic Science and Technology of China
32 papers found
Refreshing results…
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss
LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images
A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention
Comparative validation of multi-instance instrument segmentation in endoscopy: results of the ROBUST-MIS 2019 challenge
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
A Noise-robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions from CT Images
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices
An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
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