29 citations · 47 across the 10 of their papers we have counts for
10 papers
A mathematical theory of microscale hydrodynamic cloaking and shielding by electro-osmosis
Hongyu Liu, Zhi-Qiang Miao, Guang-Hui Zheng
In this paper, we develop a general mathematical framework for perfect and approximate hydrodynamic cloaking and shielding of electro-osmotic flow, which is governed by a coupled P…
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation
Kangqing Ye, Peng Liu, Xiaoyang Zou +2
Three-dimensional (3D) integrated renal structures (IRS) segmentation is important in clinical practice. With the advancement of deep learning techniques, many powerful frameworks…
ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion
Xiaoru Gao, GuoYan Zheng
Registration plays an important role in medical image analysis. Deep learning-based methods have been studied for medical image registration, which leverage convolutional neural ne…
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Yiqun Lin, Huifeng Yao, Zezhong Li +2
Segmentation of 3D knee MR images is important for the assessment of osteoarthritis. Like other medical data, the volume-wise labeling of knee MR images is expertise-demanded and t…
Frequency-Supervised MR-to-CT Image Synthesis
Zenglin Shi, Pascal Mettes, Guoyan Zheng +1
This paper strives to generate a synthetic computed tomography (CT) image from a magnetic resonance (MR) image. The synthetic CT image is valuable for radiotherapy planning when on…
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation
Guodong Zeng, Till D. Lerch, Florian Schmaranzer +6
Unsupervised domain adaptation (UDA) for cross-modality medical image segmentation has shown great progress by domain-invariant feature learning or image appearance translation. Ad…
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Xiahai Zhuang, Lei Li, Christian Payer +31
Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable…
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
Guodong Zeng, Guoyan Zheng
Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in many different 2D medical image analysis tasks. In clinical practice, however, a large part of th…
Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks
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. Our method is based on cascaded 3D F…
Multi-stream 3D FCN with Multi-scale Deep Supervision for Multi-modality Isointense Infant Brain MR Image Segmentation
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 cerebrospin…