Xinjian Chen
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Explore the profile of Xinjian Chen including associated specialties, affiliations and a list of published articles.
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195
Citations
2350
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Recent Articles
1.
Ma R, Cheng Q, Yao J, Peng Z, Yan M, Lu J, et al.
NPJ Digit Med
. 2025 Jan;
8(1):64.
PMID: 39870855
Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic...
2.
Peng Y, Lin A, Wang M, Lin T, Liu L, Wu J, et al.
Cell Rep Med
. 2024 Dec;
6(1):101876.
PMID: 39706192
Inability to express the confidence level and detect unseen disease classes limits the clinical implementation of artificial intelligence in the real world. We develop a foundation model with uncertainty estimation...
3.
Teng Z, Li L, Xin Z, Xiang D, Huang J, Zhou H, et al.
Quant Imaging Med Surg
. 2024 Dec;
14(12):9620-9652.
PMID: 39698664
Background And Objective: Medical image segmentation is a vital aspect of medical image processing, allowing healthcare professionals to conduct precise and comprehensive lesion analyses. Traditional segmentation methods are often labor...
4.
Zhu W, Liu D, Zhuang X, Gong T, Shi F, Xiang D, et al.
Med Phys
. 2024 Nov;
52(3):1615-1628.
PMID: 39589258
Background: Automatic segmentation of meibomian glands in near-infrared meibography images is basis of morphological parameter analysis, which plays a crucial role in facilitating the diagnosis of meibomian gland dysfunction (MGD)....
5.
Jiang Q, Fan Y, Li M, Fang S, Zhu W, Xiang D, et al.
Biomed Opt Express
. 2024 Nov;
15(11):6156-6170.
PMID: 39553862
Optical coherence tomography (OCT) has become the leading imaging technique in diagnosing and treatment planning for retinal diseases. Retinal OCT image segmentation involves extracting lesions and/or tissue structures to aid...
6.
Pan L, Cai Z, Hu D, Zhu W, Shi F, Tao W, et al.
Phys Med Biol
. 2024 Oct;
69(21).
PMID: 39413811
The purpose of this work is to accurately and quickly register the Optical coherence tomography (OCT) projection (enface) images at adjacent time points, and to solve the problem of interference...
7.
Rong Y, Lin T, Chen H, Fan Z, Chen X
IEEE Trans Image Process
. 2024 Oct;
33:5949-5958.
PMID: 39412964
Deep convolutional neural networks (CNNs) have been widely used for fundus image classification and have achieved very impressive performance. However, the explainability of CNNs is poor because of their black-box...
8.
Xiang D, Peng T, Bian Y, Chen L, Zeng J, Shi F, et al.
IEEE Trans Biomed Eng
. 2024 Sep;
72(2):664-674.
PMID: 39320994
Objective: Multi-modal MR/CT image segmentation is an important task in disease diagnosis and treatment, but it is usually difficult to acquire aligned multi-modal images of a patient in clinical practice...
9.
Chen L, Bian Y, Zeng J, Meng Q, Zhu W, Shi F, et al.
IEEE Trans Image Process
. 2024 Sep;
33:4882-4895.
PMID: 39236126
Unsupervised domain adaptation medical image segmentation is aimed to segment unlabeled target domain images with labeled source domain images. However, different medical imaging modalities lead to large domain shift between...
10.
Chen Z, Bian Y, Shen E, Fan L, Zhu W, Shi F, et al.
IEEE Trans Med Imaging
. 2024 Aug;
44(1):422-435.
PMID: 39167524
CT and MR are currently the most common imaging techniques for pancreatic cancer diagnosis. Accurate segmentation of the pancreas in CT and MR images can provide significant help in the...