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researcher

Yifan Chen

4 papers here

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1
ORCID 0000-0002-2776-9456
same name
  • Yifan Chen — 33 papers, h 15
  • Yifan Chen — 32 papers, h 15
  • Yifan Chen — 15 papers, h 2
  • Yifan Chen — 10 papers, h 6
  • Yifan Chen — 9 papers, h 7
  • Yifan Chen — 8 papers, 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

most citedTowards Learning a Self-inverse Network for Bidirectional Image-to-image Translation

2 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2019★ 2 cited

Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation

Zengming Shen, Yifan Chen, S. Kevin Zhou +3

The one-to-one mapping is necessary for many bidirectional image-to-image translation applications, such as MRI image synthesis as MRI images are unique to the patient. State-of-th…

cs.CV2019★ 2 cited

One-to-one Mapping for Unpaired Image-to-image Translation

Zengming Shen, S. Kevin Zhou, Yifan Chen +3

Recently image-to-image translation has attracted significant interests in the literature, starting from the successful use of the generative adversarial network (GAN), to the intr…

eess.IV2019★ 1 cited

Coarse-to-fine Kidney Segmentation Framework Incorporating with Abnormal Detection and Correction

Yue Zhang, Jiong Wu, Yu Zhou +2

In this paper, we formulated the kidney segmentation task in a coarse-to-fine fashion, predicting a coarse label based on the entire CT image and a fine label based on the coarse s…

cs.CV2018★ 2 cited

Prostate Segmentation using 2D Bridged U-net

Wanli Chen, Yue Zhang, Junjun He +4

In this paper, we focus on three problems in deep learning based medical image segmentation. Firstly, U-net, as a popular model for medical image segmentation, is difficult to trai…

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