b'Guotai Wang'

research

∙ 09/19/2023

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation

Domain Adaptation (DA) is important for deep learning-based medical imag...

0 Jianghao Wu, et al. ∙

research

∙ 09/18/2023

Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency

Multi-organ segmentation in abdominal Computed Tomography (CT) images is...

0 Meng Han, et al. ∙

research

∙ 06/29/2023

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset

Pretraining with large-scale 3D volumes has a potential for improving th...

0 Guotai Wang, et al. ∙

research

∙ 06/20/2023

UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation

Accurate segmentation of the fetal brain from Magnetic Resonance Image (...

0 Jia Fu, et al. ∙

research

∙ 05/30/2023

Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions

Segmentation of pathological images is a crucial step for accurate cance...

0 Lanfeng Zhong, et al. ∙

research

∙ 11/22/2022

CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation

Generalization to previously unseen images with potential domain shifts ...

0 Ran Gu, et al. ∙

research

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

research

∙ 08/19/2022

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

Background and Objective: Existing deep learning platforms for medical i...

15 Guotai Wang, et al. ∙

research

∙ 08/11/2022

PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation

The success of Convolutional Neural Networks (CNNs) in 3D medical image ...

18 Shuwei Zhai, et al. ∙

research

∙ 06/07/2022

HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy

Accurate segmentation of Anatomical brain Barriers to Cancer spread (ABC...

0 Hao Fu, et al. ∙

research

∙ 03/04/2022

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Medical image segmentation plays an irreplaceable role in computer-assis...

0 Xiangde Luo, et al. ∙

research

∙ 01/10/2022

MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images

Assessment of myocardial viability is essential in diagnosis and treatme...

8 Lei Li, et al. ∙

research

∙ 01/08/2022

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation

Domain Adaptation (DA) has recently raised strong interests in the medic...

5 Reuben Dorent, et al. ∙

research

∙ 12/09/2021

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

Recently, deep learning with Convolutional Neural Networks (CNNs) and Tr...

0 Xiangde Luo, et al. ∙

research

∙ 09/29/2021

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention

Computed Tomography (CT) plays an important role in monitoring radiation...

0 Guotai Wang, et al. ∙

research

∙ 09/18/2021

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation

Domain generalizable model is attracting increasing attention in medical...

0 Ran Gu, et al. ∙

research

∙ 05/06/2021

SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation

The segmentation of coronary arteries by convolutional neural network is...

0 Jingyang Zhang, et al. ∙

research

∙ 04/12/2021

SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching

Automatic and accurate lung nodule detection from 3D Computed Tomography...

8 Xiangde Luo, et al. ∙

research

∙ 02/03/2021

Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss

Nasopharyngeal Carcinoma (NPC) is a leading form of Head-and-Neck (HAN) ...

10 Wenhui Lei, et al. ∙

research

∙ 01/27/2021

Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention

Radiotherapy is the main treatment modality for nasopharynx cancer. Deli...

19 Haochen Mei, et al. ∙

research

∙ 12/29/2020

Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning

Despite that deep learning has achieved state-of-the-art performance for...

38 Lu Wang, et al. ∙

research

∙ 12/13/2020

One-Shot Object Localization in Medical Images based on Relative Position Regression

Deep learning networks have shown promising performance for accurate obj...

0 Wenhui Lei, et al. ∙

research

∙ 12/13/2020

Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma

Gross Target Volume (GTV) segmentation plays an irreplaceable role in ra...

0 Xiangde Luo, et al. ∙

research

∙ 11/01/2020

Learning Euler's Elastica Model for Medical Image Segmentation

Image segmentation is a fundamental topic in image processing and has be...

19 Xu Chen, et al. ∙

research

∙ 09/09/2020

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Deep learning-based semi-supervised learning (SSL) algorithms have led t...

12 Xiangde Luo, et al. ∙

research

∙ 07/07/2020

Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks

Ischemic stroke lesion segmentation from Computed Tomography Perfusion (...

0 Guotai Wang, et al. ∙

research

∙ 05/27/2020

Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation

The segmentation of coronary arteries in X-ray angiograms by convolution...

3 Jingyang Zhang, et al. ∙

research

∙ 04/03/2020

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization

Clinical research on smart healthcare has an increasing demand for intel...

0 Qi Duan, et al. ∙

research

∙ 06/10/2019

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss

Automatic segmentation of vestibular schwannoma (VS) tumors from magneti...

2 Guotai Wang, et al. ∙

research

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

research

∙ 10/18/2018

Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation

Automatic brain tumor segmentation plays an important role for diagnosis...

6 Guotai Wang, et al. ∙

research

∙ 07/19/2018

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

Despite the state-of-the-art performance for medical image segmentation,...

12 Guotai Wang, et al. ∙

research

∙ 07/19/2018

Test-time augmentation with uncertainty estimation for deep learning-based medical image segmentation

Data augmentation has been widely used for training deep learning system...

2 Guotai Wang, et al. ∙

research

∙ 07/09/2018

Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

One of the fundamental challenges in supervised learning for multimodal ...

8 Yipeng Hu, et al. ∙

research

∙ 10/11/2017

Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning

Convolutional neural networks (CNNs) have achieved state-of-the-art perf...

0 Guotai Wang, et al. ∙

research

∙ 09/11/2017

NiftyNet: a deep-learning platform for medical imaging

Medical image analysis and computer-assisted intervention problems are i...

0 Eli Gibson, et al. ∙

research

∙ 07/06/2017

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Deep convolutional neural networks are powerful tools for learning visua...

0 Wenqi Li, et al. ∙

research

∙ 07/03/2017

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

Accurate medical image segmentation is essential for diagnosis, surgical...

0 Guotai Wang, et al. ∙

Guotai Wang

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