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 2022Show all

14 papers · 1 filter

cs.CV2022

Active learning using adaptable task-based prioritisation

Shaheer U. Saeed, João Ramalhinho, Mark Pinnock +9

Supervised machine learning-based medical image computing applications necessitate expert label curation, while unlabelled image data might be relatively abundant. Active learning…

eess.IV2022★ 14 cited

Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames

Qi Li, Ziyi Shen, Qian Li +5

Three-dimensional (3D) freehand ultrasound (US) reconstruction without a tracker can be advantageous over its two-dimensional or tracked counterparts in many clinical applications.…

eess.IV2022

Meta-Learning Initializations for Interactive Medical Image Registration

Zachary M. C. Baum, Yipeng Hu, Dean Barratt

We present a meta-learning framework for interactive medical image registration. Our proposed framework comprises three components: a learning-based medical image registration algo…

eess.IV2022★ 2 cited

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

Sulaiman Vesal, Iani Gayo, Indrani Bhattacharya +7

Prostate biopsy and image-guided treatment procedures are often performed under the guidance of ultrasound fused with magnetic resonance images (MRI). Accurate image fusion relies…

eess.IV2022★ 3 cited

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

Yiwen Li, Yunguan Fu, Iani Gayo +12

The prowess that makes few-shot learning desirable in medical image analysis is the efficient use of the support image data, which are labelled to classify or segment new classes,…

cs.CV2022★ 15 cited

Cross-Modality Image Registration using a Training-Time Privileged Third Modality

Qianye Yang, David Atkinson, Yunguan Fu +7

In this work, we consider the task of pairwise cross-modality image registration, which may benefit from exploiting additional images available only at training time from an additi…