activity
20092023
most citedImage reconstruction from limited range projections using orthogonal moments

34 citations · 58 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 4 cited

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training

Yuting He, Guanyu Yang, Rongjun Ge +4

Learning inter-image similarity is crucial for 3D medical images self-supervised pre-training, due to their sharing of numerous same semantic regions. However, the lack of the sema…

cs.CV2022

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Jiacheng Shi, Yuting He, Youyong Kong +4

An effective backbone network is important to deep learning-based Deformable Medical Image Registration (DMIR), because it extracts and matches the features between two images to d…

eess.IV2022★ 2 cited

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation

Zhangfu Dong, Yuting He, Xiaoming Qi +5

The nature of thick-slice scanning causes severe inter-slice discontinuities of 3D medical images, and the vanilla 2D/3D convolutional neural networks (CNNs) fail to represent spar…

eess.IV2021

CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images

Song Wang, Yuting He, Youyong Kong +7

Renal compartment segmentation on CT images targets on extracting the 3D structure of renal compartments from abdominal CTA images and is of great significance to the diagnosis and…

eess.IV2021

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation

Yuting He, Rongjun Ge, Xiaoming Qi +6

3D complete renal structures(CRS) segmentation targets on segmenting the kidneys, tumors, renal arteries and veins in one inference. Once successful, it will provide preoperative p…

cs.CV2020★ 3 cited

Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images

Yuting He, Tiantian Li, Guanyu Yang +6

Deep learning-based medical image registration and segmentation joint models utilize the complementarity (augmentation data or weakly supervised data from registration, region cons…

cs.CV2014★ 34 cited

Image reconstruction from limited range projections using orthogonal moments

Huazhong Shu, Jian Zhou, Guo-Niu Han +2

A set of orthonormal polynomials is proposed for image reconstruction from projection data. The relationship between the projection moments and image moments is discussed in detail…

nlin.AO2009★ 15 cited

French Roadmap for complex Systems 2008-2009

Paul Bourgine, David Chavalarias, Edith Perrier +78

This second issue of the French Complex Systems Roadmap is the outcome of the Entretiens de Cargese 2008, an interdisciplinary brainstorming session organized over one week in 2008…