activity
20172026
most citedMONAI: An open-source framework for deep learning in healthcare

452 citations · 903 across the 62 of their papers we have counts for

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Showing 2022 · eess.IVShow all

12 papers · 2 filters

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,…

eess.IV2022

Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors

Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan +7

During the COVID-19 pandemic, the sheer volume of imaging performed in an emergency setting for COVID-19 diagnosis has resulted in a wide variability of clinical CXR acquisitions.…

eess.IV2022

Rapid Lung Ultrasound COVID-19 Severity Scoring with Resource-Efficient Deep Feature Extraction

Pierre Raillard, Lorenzo Cristoni, Andrew Walden +6

Artificial intelligence-based analysis of lung ultrasound imaging has been demonstrated as an effective technique for rapid diagnostic decision support throughout the COVID-19 pand…