Dimitris Metaxas
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Explore the profile of Dimitris Metaxas including associated specialties, affiliations and a list of published articles.
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69
Citations
780
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Recent Articles
1.
Wang X, Wang D, Li X, Rittscher J, Metaxas D, Zhang S
Med Image Anal
. 2024 Nov;
100:103389.
PMID: 39603969
No abstract available.
2.
Guo L, Xue W, Liu B, Zhang K, Yuan T, Metaxas D
IEEE Trans Image Process
. 2024 May;
33:3486-3495.
PMID: 38814773
Continuous sign language recognition (CSLR) is to recognize the glosses in a sign language video. Enhancing the generalization ability of CSLR's visual feature extractor is a worthy area of investigation....
3.
Ni Y, Chen G, Feng Z, Cui H, Metaxas D, Zhang S, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38083011
Accurate liver tumor segmentation is a prerequisite for data-driven tumor analysis. Multiphase computed tomography (CT) with extensive liver tumor characteristics is typically used as the most crucial diagnostic basis. However,...
4.
Wang W, Xia Q, Yan Z, Hu Z, Chen Y, Zheng W, et al.
Med Image Anal
. 2023 Oct;
91:102999.
PMID: 37862866
Coronary CT angiography (CCTA) is an effective and non-invasive method for coronary artery disease diagnosis. Extracting an accurate coronary artery tree from CCTA image is essential for centerline extraction, plaque...
5.
Zhang S, Metaxas D
Med Image Anal
. 2023 Oct;
91:102996.
PMID: 37857067
This article discusses the opportunities, applications and future directions of large-scale pretrained models, i.e., foundation models, which promise to significantly improve the analysis of medical images. Medical foundation models have...
6.
A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer
Ding K, Zhou M, Wang H, Gevaert O, Metaxas D, Zhang S
Sci Data
. 2023 Apr;
10(1):231.
PMID: 37085533
The success of training computer-vision models heavily relies on the support of large-scale, real-world images with annotations. Yet such an annotation-ready dataset is difficult to curate in pathology due to...
7.
Martin-Isla C, Campello V, Izquierdo C, Kushibar K, Sendra-Balcells C, Gkontra P, et al.
IEEE J Biomed Health Inform
. 2023 Apr;
27(7):3302-3313.
PMID: 37067963
In recent years, several deep learning models have been proposed to accurately quantify and diagnose cardiac pathologies. These automated tools heavily rely on the accurate segmentation of cardiac structures in...
8.
Wang G, Zhang S, Huang X, Vercauteren T, Metaxas D
Med Image Anal
. 2022 Dec;
84:102727.
PMID: 36525844
No abstract available.
9.
Chang Q, Qu H, Yan Z, Gao Y, Baskaran L, Metaxas D
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:4758-4763.
PMID: 36086601
Multi-modality images have been widely used and provide comprehensive information for medical image analysis. However, acquiring all modalities among all institutes is costly and often impossible in clinical settings. To...
10.
Da Q, Deng S, Li J, Yi H, Huang X, Yang X, et al.
Sci Rep
. 2022 Jan;
12(1):183.
PMID: 34997025
Signet ring cell carcinoma (SRCC) is a malignant tumor of the digestive system. This tumor has long been considered to be poorly differentiated and highly invasive because it has a...