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20192023
most citedDeepReg: a deep learning toolkit for medical image registration

47 citations · 60 across the 8 of their papers we have counts for

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Showing eess.IVShow all

7 papers · 1 filter

eess.IV2023★ 7 cited

Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation

Wen Yan, Bernard Chiu, Ziyi Shen +8

One of the distinct characteristics in radiologists' reading of multiparametric prostate MR scans, using reporting systems such as PI-RADS v2.1, is to score individual types of MR…

eess.IV2023

Non-rigid Medical Image Registration using Physics-informed Neural Networks

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

Biomechanical modelling of soft tissue provides a non-data-driven method for constraining medical image registration, such that the estimated spatial transformation is considered b…

eess.IV2022★ 2 cited

The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation

Wen Yan, Qianye Yang, Tom Syer +6

Dice similarity coefficient (DSC) and Hausdorff distance (HD) are widely used for evaluating medical image segmentation. They have also been criticised, when reported alone, for th…

eess.IV2022

Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning

Yiwen Li, Yunguan Fu, Qianye Yang +6

The ability to adapt medical image segmentation networks for a novel class such as an unseen anatomical or pathological structure, when only a few labelled examples of this class a…

eess.IV2021

Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images

Zhe Min, Fernando J. Bianco, Qianye Yang +4

Prostate cancer (PCa) is one of the leading causes of death for men worldwide. Multi-parametric magnetic resonance (mpMR) imaging has emerged as a non-invasive diagnostic tool for…

eess.IV2020★ 47 cited

DeepReg: a deep learning toolkit for medical image registration

Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed +14

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported open-source toolkit for research and education in medical image registration using deep learning.

eess.IV2020★ 4 cited

Introduction to Medical Image Registration with DeepReg, Between Old and New

N. Montana Brown, Y. Fu, S. U. Saeed +10

This document outlines a tutorial to get started with medical image registration using the open-source package DeepReg. The basic concepts of medical image registration are discuss…