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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 2024 · cs.CVShow all

5 papers · 2 filters

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…

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…

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),…

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…

cs.CV2024

Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images

Martynas Pocius, Wen Yan, Dean C. Barratt +4

In this paper we propose a reinforcement learning based weakly supervised system for localisation. We train a controller function to localise regions of interest within an image by…