Author

Weidi Xie

Shanghai Jiao Tong UniversityORCID 0000-0003-3804-2639Unclaimed ORCID profile · follow to get notified of new preprints

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Weidi Xie3 papers · Shanghai Jiao Tong University

Biology Disciplines

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Biochemistry· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Ana I. L. NambureteiD· 1 shared Felipe A. MoseriD· 1 shared Jiahao QiuiD· 1 shared Jie LuoiD· 1 shared Junkang An· 1 shared Kangfei Liu· 1 shared Linde S. HesseiD· 1 shared Longfei ZhaoiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Ana I. L. NambureteORCID

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintMar 5, 2025

Automated Discovery of Therapeutic Biomaterial for Renally Impaired Hyperuricemia Patients by Natural Language Processing and Machine Learning

Xiaodong Zeng, Jiahao Qiu, Xin Gui Zhao…·Shiyi Zhang

The paper develops MatWISE, a framework using NLP and ML to discover a biomaterial for renally impaired hyperuricemia, identifying δ-MnO2 as a promising UA-lowering agent.

DOI 10.1101/2025.03.05.641578

mousedeep learning

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NeuroscienceNeuroImagePeer-reviewedMar 21, 2022

Subcortical Segmentation of the Fetal Brain in 3D Ultrasound using Deep Learning

Linde S. Hesse, Moska Aliasi, Felipe A. Moser…·Ana I. L. Namburete

The paper develops a CNN for automated segmentation of fetal brain structures in 3D ultrasound using few-shot learning, achieving performance close to intra-observer variability with minimal manual annotations.

44 citations

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