Dean C Barratt
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Explore the profile of Dean C Barratt including associated specialties, affiliations and a list of published articles.
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38
Citations
694
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Recent Articles
1.
Saeed S, Huang S, Ramalhinho J, Gayo I, Montana-Brown N, Bonmati E, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Oct;
47(2):825-839.
PMID: 39361460
Weakly-supervised semantic segmentation (WSSS) methods, reliant on image-level labels indicating object presence, lack explicit correspondence between labels and regions of interest (ROIs), posing a significant challenge. Despite this, WSSS methods...
2.
Pinnock M, Hu Y, Bandula S, Barratt D
Phys Med Biol
. 2024 May;
69(11).
PMID: 38697200
Minimally invasive ablation techniques for renal cancer are becoming more popular due to their low complication rate and rapid recovery period. Despite excellent visualisation, one drawback of the use of...
3.
Saeed S, Ramalhinho J, Pinnock M, Shen Z, Fu Y, Montana-Brown N, et al.
Med Image Anal
. 2024 Apr;
95:103181.
PMID: 38640779
Supervised machine learning-based medical image computing applications necessitate expert label curation, while unlabelled image data might be relatively abundant. Active learning methods aim to prioritise a subset of available image...
4.
Gayo I, Saeed S, Bonmati E, Barratt D, Clarkson M, Hu Y
Int J Comput Assist Radiol Surg
. 2024 Mar;
19(6):1003-1012.
PMID: 38451359
Purpose: Magnetic resonance (MR) imaging targeted prostate cancer (PCa) biopsy enables precise sampling of MR-detected lesions, establishing its importance in recommended clinical practice. Planning for the ultrasound-guided procedure involves pre-selecting...
5.
Yan W, Chiu B, Shen Z, Yang Q, Syer T, Min Z, et al.
Med Image Anal
. 2023 Nov;
91:103030.
PMID: 37995627
One of the distinct characteristics of radiologists reading multiparametric prostate MR scans, using reporting systems like PI-RADS v2.1, is to score individual types of MR modalities, including T2-weighted, diffusion-weighted, and...
6.
Li Q, Shen Z, Li Q, Barratt D, Dowrick T, Clarkson M, et al.
IEEE Trans Biomed Eng
. 2023 Oct;
PP.
PMID: 37856260
Objective: Reconstructing freehand ultrasound in 3D without any external tracker has been a long-standing challenge in ultrasound-assisted procedures. We aim to define new ways of parameterising long-term dependencies, and evaluate...
7.
Li Y, Fu Y, Gayo I, Yang Q, Min Z, Saeed S, et al.
Med Image Anal
. 2023 Sep;
90:102935.
PMID: 37716198
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, a...
8.
Jiang M, Yuan B, Kou W, Yan W, Marshall H, Yang Q, et al.
Med Phys
. 2023 Mar;
50(9):5489-5504.
PMID: 36938883
Background: Targeted prostate biopsy guided by multiparametric magnetic resonance imaging (mpMRI) detects more clinically significant lesions than conventional systemic biopsy. Lesion segmentation is required for planning MRI-targeted biopsies. The requirement...
9.
Pinnock M, Hu Y, Bandula S, Barratt D
Int J Comput Assist Radiol Surg
. 2023 Feb;
18(8):1437-1449.
PMID: 36790674
Purpose: Minimally invasive treatments for renal carcinoma offer a low rate of complications and quick recovery. One drawback of the use of computed tomography (CT) for needle guidance is the...
10.
Baum Z, Hu Y, Barratt D
IEEE Trans Med Imaging
. 2022 Nov;
42(3):823-833.
PMID: 36322502
We present a meta-learning framework for interactive medical image registration. Our proposed framework comprises three components: a learning-based medical image registration algorithm, a form of user interaction that refines registration...