activity
20232026
most citedLong-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

20 citations · 25 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

FSANet: Frequency-Spatial Aware Network for Image Segmentation

Ruibo Wang, Ziyi Shen, Huaming Wu +2

Image segmentation remains challenging due to occlusions, poor lighting, and irregular structures. Although transformer-based methods achieve high accuracy, they rely heavily on lo…

cs.CV2024★ 1 cited

SAMReg: SAM-enabled Image Registration with ROI-based Correspondence

Shiqi Huang, Tingfa Xu, Ziyi Shen +4

This paper describes a new spatial correspondence representation based on paired regions-of-interest (ROIs), for medical image registration. The distinct properties of the proposed…

eess.IV2024★ 3 cited

Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

Qi Li, Ziyi Shen, Qianye Yang +4

Reconstructing 2D freehand Ultrasound (US) frames into 3D space without using a tracker has recently seen advances with deep learning. Predicting good frame-to-frame rigid transfor…

eess.IV2024★ 1 cited

Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI

Yinsong Xu, Yipei Wang, Ziyi Shen +7

The Gleason groups serve as the primary histological grading system for prostate cancer, providing crucial insights into the cancer's potential for growth and metastasis. In clinic…

cs.CV2024

One registration is worth two segmentations

Shiqi Huang, Tingfa Xu, Ziyi Shen +4

The goal of image registration is to establish spatial correspondence between two or more images, traditionally through dense displacement fields (DDFs) or parametric transformatio…

eess.IV2023★ 20 cited

Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

Qi Li, Ziyi Shen, Qian Li +5

Objective: Reconstructing freehand ultrasound in 3D without any external tracker has been a long-standing challenge in ultrasound-assisted procedures. We aim to define new ways of…