Carlo Biffi
Overview
Explore the profile of Carlo Biffi including associated specialties, affiliations and a list of published articles.
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Snapshot
Articles
14
Citations
423
Followers
0
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Recent Articles
1.
Marchese Aizenman G, Salvagnini P, Cherubini A, Biffi C
Front Oncol
. 2024 Aug;
14:1422942.
PMID: 39148908
Background: Ensuring accurate polyp detection during colonoscopy is essential for preventing colorectal cancer (CRC). Recent advances in deep learning-based computer-aided detection (CADe) systems have shown promise in enhancing endoscopists' performances....
2.
Biffi C, Antonelli G, Bernhofer S, Hassan C, Hirata D, Iwatate M, et al.
Sci Data
. 2024 May;
11(1):539.
PMID: 38796533
Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent evidence suggests that AI-based computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems can enhance endoscopists' performance and...
3.
Biffi C, Salvagnini P, Dinh N, Hassan C, Sharma P, Cherubini A
NPJ Digit Med
. 2022 Aug;
5(1):114.
PMID: 35974135
No abstract available.
4.
Biffi C, Salvagnini P, Dinh N, Hassan C, Sharma P, Cherubini A
NPJ Digit Med
. 2022 Jun;
5(1):84.
PMID: 35773468
Accurate in-vivo optical characterization of colorectal polyps is key to select the optimal treatment regimen during colonoscopy. However, reported accuracies vary widely among endoscopists. We developed a novel intelligent medical...
5.
Ouyang C, Biffi C, Chen C, Kart T, Qiu H, Rueckert D
IEEE Trans Med Imaging
. 2022 Feb;
41(7):1837-1848.
PMID: 35139014
Fully-supervised deep learning segmentation models are inflexible when encountering new unseen semantic classes and their fine-tuning often requires significant amounts of annotated data. Few-shot semantic segmentation (FSS) aims to solve...
6.
de Marvao A, McGurk K, Zheng S, Thanaj M, Bai W, Duan J, et al.
J Am Coll Cardiol
. 2021 Sep;
78(11):1097-1110.
PMID: 34503678
Background: Hypertrophic cardiomyopathy (HCM) is caused by rare variants in sarcomere-encoding genes, but little is known about the clinical significance of these variants in the general population. Objectives: The goal...
7.
Biffi C, Cerrolaza J, Tarroni G, Bai W, de Marvao A, Oktay O, et al.
IEEE Trans Med Imaging
. 2020 Jan;
39(6):2088-2099.
PMID: 31944949
Quantification of anatomical shape changes currently relies on scalar global indexes which are largely insensitive to regional or asymmetric modifications. Accurate assessment of pathology-driven anatomical remodeling is a crucial step...
8.
Bhuva A, Treibel T, de Marvao A, Biffi C, Dawes T, Doumou G, et al.
Eur Heart J Cardiovasc Imaging
. 2019 Jul;
21(4):417-427.
PMID: 31280289
Aims: Left ventricular hypertrophy (LVH) in aortic stenosis (AS) varies widely before and after aortic valve replacement (AVR), and deeper phenotyping beyond traditional global measures may improve risk stratification. We...
9.
Bello G, Dawes T, Duan J, Biffi C, de Marvao A, Howard L, et al.
Nat Mach Intell
. 2019 Feb;
1:95-104.
PMID: 30801055
Motion analysis is used in computer vision to understand the behaviour of moving objects in sequences of images. Optimising the interpretation of dynamic biological systems requires accurate and precise motion...
10.
Duan J, Bello G, Schlemper J, Bai W, Dawes T, Biffi C, et al.
IEEE Trans Med Imaging
. 2019 Jan;
38(9):2151-2164.
PMID: 30676949
Deep learning approaches have achieved state-of-the-art performance in cardiac magnetic resonance (CMR) image segmentation. However, most approaches have focused on learning image intensity features for segmentation, whereas the incorporation of...