Rachael Rodell

According to our database, Rachael Rodell authored at least 3 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi-parametric prostate magnetic resonance imaging.

Zhe Min, Fernando J. Bianco, Qianye Yang, Wen Yan, Ziyi Shen, David Cohen, Rachael Rodell, Dean C. Barratt, Yipeng Hu

CAAI Trans. Intell. Technol., 2025

2021

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

Zhe Min, Fernando J. Bianco, Qianye Yang, Rachael Rodell, Wen Yan, Dean C. Barratt, Yipeng Hu

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2018

Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks.

Nooshin Ghavami, Yipeng Hu, Ester Bonmati, Rachael Rodell, Eli Gibson, Caroline M. Moore, Dean C. Barratt

Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018