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20172022
most citedMONAI: An open-source framework for deep learning in healthcare

452 citations · 761 across the 23 of their papers we have counts for

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15 papers · 1 filter

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.IV20222 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.IV202251 cited

Image quality assessment for machine learning tasks using meta-reinforcement learning

Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides +8

In this paper, we consider image quality assessment (IQA) as a measure of how images are amenable with respect to a given downstream task, or task amenability. When the task is per…

eess.IV2022

VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation

Yukun Zhou, Moucheng Xu, Yipeng Hu +5

Estimating clinically-relevant vascular features following vessel segmentation is a standard pipeline for retinal vessel analysis, which provides potential ocular biomarkers for bo…

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

Real-time multimodal image registration with partial intraoperative point-set data

Zachary M C Baum, Yipeng Hu, Dean C Barratt

We present Free Point Transformer (FPT) - a deep neural network architecture for non-rigid point-set registration. Consisting of two modules, a global feature extraction module and…