2 citations · 3 across the 6 of their papers we have counts for
6 papers
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI
Yinsong Xu, Yipei Wang, Ziyi Shen +7
The Gleason groups serve as the primary histological grading system for prostate cancer, providing crucial insights into the cancer's potential for growth and metastasis. In clinic…
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),…
Semi-weakly-supervised neural network training for medical image registration
Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo +11
For training registration networks, weak supervision from segmented corresponding regions-of-interest (ROIs) have been proven effective for (a) supplementing unsupervised methods,…
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…
Strategising template-guided needle placement for MR-targeted prostate biopsy
Iani JMB Gayo, Shaheer U. Saeed, Dean C. Barratt +2
Clinically significant prostate cancer has a better chance to be sampled during ultrasound-guided biopsy procedures, if suspected lesions found in pre-operative magnetic resonance…
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels
Liam F Chalcroft, Jiongqi Qu, Sophie A Martin +8
When developing deep neural networks for segmenting intraoperative ultrasound images, several practical issues are encountered frequently, such as the presence of ultrasound frames…