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Tong Zhang

Peng Cheng Laboratory

4 papers hereh-index 465 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.IR1
affiliations
  • Peng Cheng Laboratory
same name
  • Tong Zhang — 43 papers, h 31
  • Tong Zhang — 39 papers, h 47
  • Tong Zhang — 25 papers, h 23
  • Tong Zhang — 20 papers, h 17
  • Tong Zhang — 18 papers, h 21
  • Tong Zhang — 16 papers, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212025
collaborators

4 papers

cs.IR2025

Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method

Yang Yang, Tong Zhang, Jian Wu +1

With the rapid advancement of large language models, academic topic identification and topic evolution analysis are crucial for enhancing AI's understanding capabilities. Dynamic t…

eess.IV2022

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms

Jia-Xin Zhuang, Xiansong Huang, Yang Yang +6

In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelli…

eess.IV2021

EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

Jiancong Chen, Yingying Zhang, Jingyi Wang +3

As an important scan plane, four chamber view is routinely performed in both second trimester perinatal screening and fetal echocardiographic examinations. The biometrics in this p…

eess.IV2021

Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning

Yang Yang, Jiancong Chen, Ruixuan Wang +5

Despite tremendous efforts, it is very challenging to generate a robust model to assist in the accurate quantification assessment of COVID-19 on chest CT images. Due to the nature…

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