Ruichen Rong
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Explore the profile of Ruichen Rong including associated specialties, affiliations and a list of published articles.
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30
Citations
963
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Recent Articles
1.
Rong R, Gu Z, Lai H, Nelson T, Keller T, Walker C, et al.
medRxiv
. 2025 Feb;
PMID: 39974062
Objective: Recent advances in deep learning show significant potential in analyzing continuous monitoring electronic health records (EHR) data for clinical outcome prediction. We aim to develop a Transformer-based, Encounter-level Clinical...
2.
Nezafati K, Wang L, Rong R, Park A, Zhu J, Xiao G, et al.
J Am Acad Dermatol
. 2024 Nov;
PMID: 39613265
No abstract available.
3.
Gu Z, Wang S, Rong R, Zhao Z, Wu F, Zhou Q, et al.
Lab Invest
. 2024 Nov;
105(2):102184.
PMID: 39528162
Accurate whole-cell segmentation is essential in various biomedical applications, particularly in studying the tumor microenvironment. Despite advancements in machine learning for nuclei segmentation in hematoxylin and eosin (H&E)-stained images, there...
4.
Guo Y, Zhu B, Tang C, Rong R, Ma Y, Xiao G, et al.
Brief Bioinform
. 2024 Oct;
25(6).
PMID: 39470304
The field of spatially resolved transcriptomics (SRT) has greatly advanced our understanding of cellular microenvironments by integrating spatial information with molecular data collected from multiple tissue sections or individuals. However,...
5.
Rong R, Denton K, Jin K, Quan P, Wen Z, Kozlitina J, et al.
Bioengineering (Basel)
. 2024 Jul;
11(7).
PMID: 39061752
Genetic mouse models of skeletal abnormalities have demonstrated promise in the identification of phenotypes relevant to human skeletal diseases. Traditionally, phenotypes are assessed by manually examining radiographs, a tedious and...
6.
Villanueva-Miranda I, Rong R, Quan P, Wen Z, Zhan X, Yang D, et al.
Cancers (Basel)
. 2024 Jul;
16(13).
PMID: 39001452
Recent advances in foundation models have revolutionized model development in digital pathology, reducing dependence on extensive manual annotations required by traditional methods. The ability of foundation models to generalize well...
7.
Huang J, Yang D, Rong R, Nezafati K, Treager C, Chi Z, et al.
NPJ Digit Med
. 2024 May;
7(1):106.
PMID: 38693429
Existing natural language processing (NLP) methods to convert free-text clinical notes into structured data often require problem-specific annotations and model training. This study aims to evaluate ChatGPT's capacity to extract...
8.
Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images
Wang S, Rong R, Zhou Q, Yang D, Zhang X, Zhan X, et al.
Nat Commun
. 2023 Dec;
14(1):7872.
PMID: 38081823
Recent advancements in tissue imaging techniques have facilitated the visualization and identification of various cell types within physiological and pathological contexts. Despite the emergence of cell-cell interaction studies, there is...
9.
Wen Z, Luo D, Wang S, Rong R, Evers B, Jia L, et al.
Mod Pathol
. 2023 Dec;
37(2):100398.
PMID: 38043788
Immunohistochemistry (IHC) is a well-established and commonly used staining method for clinical diagnosis and biomedical research. In most IHC images, the target protein is conjugated with a specific antibody and...
10.
Wang S, Rong R, Gu Z, Fujimoto J, Zhan X, Xie Y, et al.
Comput Methods Programs Biomed
. 2023 Aug;
241:107768.
PMID: 37619429
Background And Objective: Unsupervised domain adaptation (UDA) is a powerful approach in tackling domain discrepancies and reducing the burden of laborious and error-prone pixel-level annotations for instance segmentation. However, the...