activity
20172026
most citedWeakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

477 citations · 994 across the 58 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

eess.IV2024★ 1 cited

T2-Only Prostate Cancer Prediction by Meta-Learning from Bi-Parametric MR Imaging

Weixi Yi, Yipei Wang, Natasha Thorley +6

Current imaging-based prostate cancer diagnosis requires both MR T2-weighted (T2w) and diffusion-weighted imaging (DWI) sequences, with additional sequences for potentially greater…

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…

cs.CV2024

Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity

Zhe Min, Zachary M. C. Baum, Shaheer U. Saeed +4

This paper investigates both biomechanical-constrained non-rigid medical image registrations and accurate identifications of material properties for soft tissues, using physics-inf…

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

Competing for pixels: a self-play algorithm for weakly-supervised segmentation

Shaheer U. Saeed, Shiqi Huang, João Ramalhinho +8

Weakly-supervised segmentation (WSS) methods, reliant on image-level labels indicating object presence, lack explicit correspondence between labels and regions of interest (ROIs),…