Search Results for author: Guoyan Zheng

Found 17 papers, 6 papers with code

C$^3$PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation

no code implementations14 Jun 2023 Peng Liu, Guoyan Zheng

In this paper, we introduce a novel Context-aware Conditional Cross Pseudo Supervision method (referred as C$^3$PS) for semi-supervised medical image segmentation.

Image Segmentation Semantic Segmentation +1

ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion

no code implementations4 Aug 2022 Xiaoru Gao, Guoyan Zheng

Deep learning-based methods have been studied for medical image registration, which leverage convolutional neural networks (CNNs) for efficiently regressing a dense deformation field from a pair of images.

Image Registration Medical Image Registration

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation

1 code implementation7 May 2022 Yiqun Lin, Huifeng Yao, Zezhong Li, Guoyan Zheng, Xiaomeng Li

Our framework leverages label distribution to encourage the network to put more effort into learning cartilage parts.

Frequency-Supervised MR-to-CT Image Synthesis

1 code implementation19 Jul 2021 Zenglin Shi, Pascal Mettes, Guoyan Zheng, Cees Snoek

In this paper, we find that all existing approaches share a common limitation: reconstruction breaks down in and around the high-frequency parts of CT images.

Computed Tomography (CT) Image Generation +1

ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation

no code implementations23 Dec 2020 Guodong Zeng, Till D. Lerch, Florian Schmaranzer, Guoyan Zheng, Juergen Burger, Kate Gerber, Moritz Tannast, Klaus Siebenrock, Nicolas Gerber

In this paper, we propose intra- and cross-modality semantic consistency (ICMSC) for UDA and our key insight is that the segmentation of synthesised images in different styles should be consistent.

Image Segmentation Medical Image Segmentation +3

Robust Regression via Deep Negative Correlation Learning

no code implementations24 Aug 2019 Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng

Nonlinear regression has been extensively employed in many computer vision problems (e. g., crowd counting, age estimation, affective computing).

Age Estimation Crowd Counting +2

Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images

no code implementations24 Dec 2018 Guodong Zeng, Guoyan Zheng

In this paper, we propose a novel Holistic Decomposition Convolution (HDC), for an effective and efficient semantic segmentation of volumetric images.

Image Segmentation Semantic Segmentation

Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks

no code implementations5 Dec 2017 Rens Janssens, Guodong Zeng, Guoyan Zheng

We present a method to address the challenging problem of segmentation of lumbar vertebrae from CT images acquired with varying fields of view.

Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation

no code implementations28 Nov 2017 Guodong Zeng, Guoyan Zheng

We present a method to address the challenging problem of segmentation of multi-modality isointense infant brain MR images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF).

Image Segmentation Infant Brain Mri Segmentation +2

Cannot find the paper you are looking for? You can Submit a new open access paper.