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Profil bibliographique

Quanlin Wu

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

12Publications signalées
46Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

AI in cancer detectionUltrasound Imaging and ElastographyGenerative Adversarial Networks and Image SynthesisLegal and Regulatory AnalysisLinguistic, Cultural, and Literary Studies

Les publications récentes

Accès ouvert 2025 article OpenAlex

Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study

Jie Han, Yuanjing Gao, Ling Huo, Dong Wang et autres

BACKGROUND: The clinical application of artificial intelligence (AI) models based on breast ultrasound static images has been hindered in real-world workflows due to operator-dependence of standardized image acquisition and incomplete view of breast lesions on static images. To better exploit the real-time …

cn, us, Éthiopie (code pays fourni par la source)

5 citations Cancer Imaging
Accès ouvert 2025 preprint OpenAlex

A Foundational Generative Model for Breast Ultrasound Image Analysis

Haojun Yu, You‐Cheng Li, Nan Zhang, Zihan Niu et autres

Foundational models have emerged as powerful tools for addressing various tasks in clinical settings. However, their potential development to breast ultrasound analysis remains untapped. In this paper, we present BUSGen, the first foundational generative model specifically designed for breast ultrasound image analysis. …

0 citations arXiv (Cornell University)
Accès ouvert 2025 conference-paper OpenAlex

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection

Jigang Fan, Quanlin Wu, Shengjie Luo, Liwei Wang

The detection of ligand binding sites for proteins is a fundamental step in Structure-Based Drug Design. Despite notable advances in recent years, existing methods, datasets, and evaluation metrics are confronted with several key challenges: (1) current datasets and methods are centered on …

us, cn (code pays fourni par la source)

0 citations
Accès ouvert 2024 preprint OpenAlex

Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses

Haojun Yu, You‐Cheng Li, Nan Zhang, Zihan Niu et autres

Data-driven deep learning models have shown great capabilities to assist radiologists in breast ultrasound (US) diagnoses. However, their effectiveness is limited by the long-tail distribution of training data, which leads to inaccuracies in rare cases. In this study, we address a long-standing …

0 citations arXiv (Cornell University)
Accès ouvert 2022 article OpenAlex

Mitochondrial fission factor promotes cisplatin resistance<?A3B2 ACK?>in hepatocellular carcinoma

Xiaoliang Li, Quanlin Wu, Fu-Jun Ma, Xinxin Zhang et autres

Hepatocellular carcinoma (HCC) is the most common primary liver tumor and one of the leading causes of cancer-related death worldwide. Chemotherapeutic agents/regimens such as cisplatin (DDP) are frequently used for advanced HCC treatment. However, drug resistance remains a major hindrance and the …

us, cn (code pays fourni par la source)

18 citations Acta Biochimica et Biophysica Sinica
2018 article OpenAlex

Role of human leukocyte antigen-DR expression on predicting the prognosis of hepatocellular carcinoma

Quanlin Wu

Objective To explore the expression of human leukocyte antigen-DR (HLA-DR) in hepatocellular carcinoma and its clinical values in predicting prognosis. Methods The primary hepatocellular carcinoma tissues of 97 patients in our hospital from August 2012 to February 2014 were enrolled as subjects …

cn (code pays fourni par la source)

0 citations Guoji zhongliuxue zazhi

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