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Tianyang Zhang

11 papers hereh-index 154k citations33 works total

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

author position
  • first author3
  • middle author8

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL3
  • cs.IR1
  • eess.IV1
same name
  • Tianyang Zhang — 8 papers, h 3
  • Tianyang Zhang — 6 papers, h 2
  • Tianyang Zhang — 6 papers, h 1
  • Tianyang Zhang — 5 papers, h 2
  • Tianyang Zhang — 5 papers, h 7
  • Tianyang Zhang — 1 paper, h 2

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
20172022
most citedCE-Net: Context Encoder Network for 2D Medical Image Segmentation

2.3k citations · 2.5k across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 35 cited

CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain

Chaojun Xiao, Haoxi Zhong, Zhipeng Guo +8

In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case Matching dataset. CAIL2019-SCM contains 8,964 triplets of cases published by the Supreme People's Cou…

cs.CV2019★ 2 cited

Identify the cells' nuclei based on the deep learning neural network

Tianyang Zhang, Rui Ma

Identify the cells' nuclei is the important point for most medical analyses. To assist doctors finding the accurate cell' nuclei location automatically is highly demanded in the cl…

cs.CV2019★ 4 cited

SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis

Tianyang Zhang, Huazhu Fu, Yitian Zhao +7

Generative Adversarial Networks (GANs) have the capability of synthesizing images, which have been successfully applied to medical image synthesis tasks. However, most of existing…

cs.CV2019★ 2.3k cited

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

Zaiwang Gu, Jun Cheng, Huazhu Fu +6

Medical image segmentation is an important step in medical image analysis. With the rapid development of convolutional neural network in image processing, deep learning has been us…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.