S Kevin Zhou
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Explore the profile of S Kevin Zhou including associated specialties, affiliations and a list of published articles.
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70
Citations
721
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Recent Articles
1.
Wang Q, Zhao S, Xu Z, Kevin Zhou S
Med Image Anal
. 2024 Nov;
99:103387.
PMID: 39550795
Surgical instrument segmentation is instrumental to minimally invasive surgeries and related applications. Most previous methods formulate this task as single-frame-based instance segmentation while ignoring the natural temporal and stereo attributes...
2.
Xu Z, Li J, Yao Q, Li H, Zhao M, Kevin Zhou S
NPJ Digit Med
. 2024 Oct;
7(1):286.
PMID: 39420149
Deep learning algorithms have demonstrated remarkable efficacy in various medical image analysis (MedIA) applications. However, recent research highlights a performance disparity in these algorithms when applied to specific subgroups, such...
3.
Deng Y, Ji Z, Wang Y, Kevin Zhou S
Neural Netw
. 2024 Sep;
180:106734.
PMID: 39332212
It is extremely challenging to classify steady-state visual evoked potentials (SSVEPs) in scenarios characterized by a huge scarcity of calibration data where only one calibration trial is available for each...
4.
Li K, Yang J, Liang W, Li X, Zhang C, Chen L, et al.
Med Image Anal
. 2024 Sep;
99:103319.
PMID: 39270466
Optical coherence tomography (OCT) is a noninvasive technology that enables real-time imaging of tissue microanatomies. The axial resolution of OCT is intrinsically constrained by the spectral bandwidth of the employed...
5.
Zhou Y, Chen T, Hou J, Xie H, Dvornek N, Kevin Zhou S, et al.
Med Image Anal
. 2024 Sep;
98:103300.
PMID: 39226710
Image-to-image translation is a vital component in medical imaging processing, with many uses in a wide range of imaging modalities and clinical scenarios. Previous methods include Generative Adversarial Networks (GANs)...
6.
Quan Q, Yao Q, Zhu H, Kevin Zhou S
IEEE Trans Med Imaging
. 2024 Aug;
44(1):154-164.
PMID: 39088491
Contrastive learning (CL) is a form of self-supervised learning and has been widely used for various tasks. Different from widely studied instance-level contrastive learning, pixel-wise contrastive learning mainly helps with...
7.
Zhang Y, Peng C, Wang Q, Song D, Li K, Kevin Zhou S
IEEE Trans Med Imaging
. 2024 Jul;
44(1):4-18.
PMID: 38976465
Multi-modal medical images provide complementary soft-tissue characteristics that aid in the screening and diagnosis of diseases. However, limited scanning time, image corruption and various imaging protocols often result in incomplete...
8.
You C, Dai W, Min Y, Liu F, Clifton D, Kevin Zhou S, et al.
Adv Neural Inf Process Syst
. 2024 May;
36():9984-10021.
PMID: 38813114
For medical image segmentation, contrastive learning is the dominant practice to improve the quality of visual representations by contrasting semantically similar and dissimilar pairs of samples. This is enabled by...
9.
Quan Q, Yao Q, Zhu H, Wang Q, Kevin Zhou S
Med Image Anal
. 2024 May;
96:103200.
PMID: 38801797
The success of deep learning methodologies hinges upon the availability of meticulously labeled extensive datasets. However, when dealing with medical images, the annotation process for such abundant training data often...
10.
Cao Y, Feng Y, Wang H, Xie X, Kevin Zhou S
IEEE Trans Pattern Anal Mach Intell
. 2024 Apr;
46(11):7136-7153.
PMID: 38619951
Recently, there has been a trend of designing neural data structures to go beyond handcrafted data structures by leveraging patterns of data distributions for better accuracy and adaptivity. Sketches are...