Chenyu You
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Explore the profile of Chenyu You including associated specialties, affiliations and a list of published articles.
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28
Citations
439
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Recent Articles
1.
Huang X, Li H, Cao M, Chen L, You C, An D
IEEE Trans Med Imaging
. 2025 Mar;
PP.
PMID: 40030818
Recent developments underscore the potential of textual information in enhancing learning models for a deeper understanding of medical visual semantics. However, language-guided medical image segmentation still faces a challenging issue....
2.
Cai Z, Xin J, You C, Shi P, Dong S, Dvornek N, et al.
Med Image Anal
. 2025 Jan;
101:103440.
PMID: 39764933
Unsupervised domain adaptation (UDA) has shown impressive performance by improving the generalizability of the model to tackle the domain shift problem for cross-modality medical segmentation. However, most of the existing...
3.
You C, Min Y, Dai W, Sekhon J, Staib L, Duncan J
Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit
. 2024 Dec;
2024:26140-26150.
PMID: 39640960
Fine-tuning pre-trained vision-language models, like CLIP, has yielded success on diverse downstream tasks. However, several pain points persist for this paradigm: (i) directly tuning entire pre-trained models becomes both time-intensive...
4.
Yang J, Henao J, Dvornek N, He J, Bower D, Depotter A, et al.
Comput Med Imaging Graph
. 2024 Nov;
118:102442.
PMID: 39515190
Data-driven approaches have achieved great success in various medical image analysis tasks. However, fully-supervised data-driven approaches require unprecedentedly large amounts of labeled data and often suffer from poor generalization to...
5.
Xia J, Lan L, You C, Tang L, Chen T, Yang Y, et al.
Cell Rep
. 2024 Oct;
43(11):114890.
PMID: 39425929
Myeloablative pre-conditioning facilitates the differentiation of transplanted hematopoietic stem and progenitor cells (HSPCs). However, the factors in the stress environment that regulate HSPC behavior remain elusive. Here, we investigated the...
6.
Dong S, Cai Z, Hangel G, Bogner W, Widhalm G, Huang Y, et al.
Med Image Anal
. 2024 Oct;
99:103358.
PMID: 39353335
Magnetic Resonance Spectroscopic Imaging (MRSI) is a non-invasive imaging technique for studying metabolism and has become a crucial tool for understanding neurological diseases, cancers and diabetes. High spatial resolution MRSI...
7.
You C, Dai W, Liu F, Min Y, Dvornek N, Li X, et al.
IEEE Trans Pattern Anal Mach Intell
. 2024 Sep;
PP.
PMID: 39269798
Recent studies on contrastive learning have achieved remarkable performance solely by leveraging few labels in the context of medical image segmentation. Existing methods mainly focus on instance discrimination and invariant...
8.
Sun S, Han K, You C, Tang H, Kong D, Naushad J, et al.
Med Image Anal
. 2024 Jul;
97:103249.
PMID: 38963972
Image registration is an essential step in many medical image analysis tasks. Traditional methods for image registration are primarily optimization-driven, finding the optimal deformations that maximize the similarity between two...
9.
You C, Dai W, Min Y, Staib L, Duncan J
Med Image Comput Comput Assist Interv
. 2024 Jun;
14222:561-571.
PMID: 38840671
Integrating high-level semantically correlated contents and low-level anatomical features is of central importance in medical image segmentation. Towards this end, recent deep learning-based medical segmentation methods have shown great promise...
10.
You C, Dai W, Min Y, Staib L, Sekhon J, Duncan J
Med Image Comput Comput Assist Interv
. 2024 May;
14223:194-205.
PMID: 38813456
Medical data often exhibits long-tail distributions with heavy class imbalance, which naturally leads to difficulty in classifying the minority classes (., boundary regions or rare objects). Recent work has significantly...