Guotai Wang
Orcid: 0000-0002-8632-158X
According to our database1,
Guotai Wang
authored at least 111 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Medical Imaging, January, 2024
Deep learning-based automated steel surface defect segmentation: a comparative experimental study.
Multim. Tools Appl., January, 2024
VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Human Annotation-Free Pathological Image Classification.
CoRR, 2024
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR, 2024
2023
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging, December, 2023
Uncertainty-aware and dynamically-mixed pseudo-labels for semi-supervised defect segmentation.
Comput. Ind., November, 2023
HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images.
IEEE Trans. Medical Imaging, October, 2023
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation.
Medical Image Anal., October, 2023
Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation.
IEEE Trans. Medical Imaging, September, 2023
S<sup>3</sup>R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites.
IEEE Trans. Medical Imaging, September, 2023
MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency.
J. Vis. Commun. Image Represent., September, 2023
A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation.
Medical Image Anal., August, 2023
Medical Image Anal., August, 2023
TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency.
Neurocomputing, August, 2023
Comput. Methods Programs Biomed., April, 2023
Multi-Morphological Pulse Signal Feature Point Recognition Based on One-Dimensional Deep Convolutional Neural Network.
Inf., February, 2023
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation.
IEEE Trans. Medical Imaging, 2023
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures.
IEEE Trans. Medical Imaging, 2023
Semisupervised Defect Segmentation With Pairwise Similarity Map Consistency and Ensemble-Based Cross Pseudolabels.
IEEE Trans. Ind. Informatics, 2023
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing.
Medical Image Anal., 2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
CoRR, 2023
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset.
CoRR, 2023
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
ScribSD: Scribble-Supervised Fetal MRI Segmentation Based on Simultaneous Feature and Prediction Self-distillation.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-Scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Fine-Grained Out-of-Distribution Detection of Medical Images using Combination of Feature Uncertainty and Mahalanobis Distance.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Semi-supervised Defect Segmentation with Uncertainty-aware Pseudo-labels from Multi-branch Network.
Proceedings of the 5th International Conference on Image Processing and Machine Vision, 2023
UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2023
2022
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention.
IEEE Trans. Medical Imaging, 2022
Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training.
IEEE J. Biomed. Health Informatics, 2022
HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy.
IEEE J. Biomed. Health Informatics, 2022
Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN).
IEEE Trans. Hum. Mach. Syst., 2022
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.
Medical Image Anal., 2022
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching.
Medical Image Anal., 2022
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.
Medical Image Anal., 2022
CoRR, 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning.
IEEE Trans. Medical Imaging, 2021
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Medical Image Anal., 2021
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.
Medical Image Anal., 2021
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention.
Neurocomputing, 2021
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss.
Neurocomputing, 2021
Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images.
IEEE Trans. Medical Imaging, 2020
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.
NeuroImage, 2020
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks.
Medical Image Anal., 2020
Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation.
Neurocomputing, 2020
One-Shot Object Localization in Medical Images based on Relative Position Regression.
CoRR, 2020
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma.
CoRR, 2020
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization.
CoRR, 2020
Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.
Neurocomputing, 2019
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation.
Frontiers Comput. Neurosci., 2019
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss.
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
Global and Local Multi-scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.
IEEE Trans. Medical Imaging, 2018
Medical Image Anal., 2018
Comput. Methods Programs Biomed., 2018
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views.
Medical Image Anal., 2016
Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning.
Medical Image Anal., 2015
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013