Xiang Sean Zhou
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Explore the profile of Xiang Sean Zhou including associated specialties, affiliations and a list of published articles.
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Citations
304
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Recent Articles
1.
Wei Y, Zhou Q, Wu J, Xu X, Gao Y, Chen L, et al.
IEEE Rev Biomed Eng
. 2025 Mar;
PP.
PMID: 40030886
Lung cancer is the leading cause of cancerrelated mortality worldwide. In addition to localizing and segmenting lung nodules, a non-invasive risk assessment system can also help clinicians tailor treatment decisions...
2.
Towards a general computed tomography image segmentation model for anatomical structures and lesions
Ouyang X, Gu D, Li X, Zhou W, Chen Q, Zhan Y, et al.
Commun Eng
. 2024 Oct;
3(1):143.
PMID: 39397081
Numerous deep-learning models have been developed using task-specific data, but they ignore the inherent connections among different tasks. By jointly learning a wide range of segmentation tasks, we prove that...
3.
Wang C, Shao J, He Y, Wu J, Liu X, Yang L, et al.
Nat Med
. 2024 Sep;
30(11):3184-3195.
PMID: 39289570
The widespread implementation of low-dose computed tomography (LDCT) in lung cancer screening has led to the increasing detection of pulmonary nodules. However, precisely evaluating the malignancy risk of pulmonary nodules...
4.
Mei L, Fang Y, Zhao Y, Zhou X, Zhu M, Cui Z, et al.
IEEE Trans Med Imaging
. 2023 Sep;
43(1):517-528.
PMID: 37751352
In digital dentistry, cone-beam computed tomography (CBCT) can provide complete 3D tooth models, yet suffers from a long concern of requiring excessive radiation dose and higher expense. Therefore, 3D tooth...
5.
Zhang J, Wu J, Zhou X, Shi F, Shen D
Semin Cancer Biol
. 2023 Sep;
96:11-25.
PMID: 37704183
Breast cancer is a significant global health burden, with increasing morbidity and mortality worldwide. Early screening and accurate diagnosis are crucial for improving prognosis. Radiographic imaging modalities such as digital...
6.
Wu J, Xia Y, Wang X, Wei Y, Liu A, Innanje A, et al.
Front Radiol
. 2023 Jul;
3:1153784.
PMID: 37492386
Introduction: Medical image analysis is of tremendous importance in serving clinical diagnosis, treatment planning, as well as prognosis assessment. However, the image analysis process usually involves multiple modality-specific software and...
7.
Liao S, Mo Z, Zeng M, Wu J, Gu Y, Li G, et al.
Cell Rep Med
. 2023 Jul;
4(7):101119.
PMID: 37467726
Fast and low-dose reconstructions of medical images are highly desired in clinical routines. We propose a hybrid deep-learning and iterative reconstruction (hybrid DL-IR) framework and apply it for fast magnetic...
8.
Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy
Shi F, Hu W, Wu J, Han M, Wang J, Zhang W, et al.
Nat Commun
. 2022 Nov;
13(1):6566.
PMID: 36323677
In radiotherapy for cancer patients, an indispensable process is to delineate organs-at-risk (OARs) and tumors. However, it is the most time-consuming step as manual delineation is always required from radiation...
9.
Ouyang X, Karanam S, Wu Z, Chen T, Huo J, Zhou X, et al.
IEEE Trans Med Imaging
. 2020 Dec;
40(10):2698-2710.
PMID: 33284748
We consider the problem of abnormality localization for clinical applications. While deep learning has driven much recent progress in medical imaging, many clinical challenges are not fully addressed, limiting its...
10.
Wei H, Tang X, Zhang M, Li Q, Xing X, Zhou X, et al.
Med Phys
. 2020 May;
47(11):5531-5542.
PMID: 32471017
Purpose: The human brain has two cerebral hemispheres that are roughly symmetric and separated by a midline, which is nearly a straight line shown in axial computed tomography (CT) images...