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Jieying Chen on Muck Rack

Jieying Chen

As seen in: Wiley Online Library, MDPI, Taylor & Francis Online
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Articles

A deep learning radiomics model for predicting non-sentinel lymph node metastases in early-stage breast cancer patients

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By Jiawei Li, Yiyi Miao, Jieying Chen, Angelos Stefanidis
| Taylor & Francis Online
ABSTRACT Aims To develop and validate a deep learning radiomics model to predict non-sentinel lymph node (NSLN) metastases in early-stage breast cancer patients with 1–2 positive sentinel lymph node (SLN) metastases. Methods This retrospective and prospective study encompassed 1,647 patients. Clinical, pathological information, and axillary ultrasound (AUS) findings, collected. Radiomic features of breast cancer lesions were extracted from the ultrasound images.
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Discrimination by LLMs: Cross-lingual Bias Assessment and Mitigation in Decision-Making and Summarisation

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By Jieying Chen
| arXiv
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[2502.13548] Detecting Linguistic Bias in Government Documents Using Large language Models

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By de Swart, Floris den, Jieying Chen, Floris den Hengst
| arXiv
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