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researcher

C. Lee

4 papers hereh-index 342 citations5 works total

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

author position
  • middle author4

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

fields
  • eess.IV3
  • q-bio.QM1
same name
  • C. Lee — 67 papers, h 28
  • C. Lee — 48 papers, h 17
  • C. Lee — 21 papers, h 9
  • C. Lee — 20 papers, h 6
  • C. Lee — 19 papers, h 5
  • C. Lee — 17 papers, h 28

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
20222025
most citedRecent Progress in Transformer-based Medical Image Analysis

125 citations · 158 across the 4 of their papers we have counts for

collaborators

4 papers

q-bio.QM2025★ 3 cited

UNGT: Ultrasound Nasogastric Tube Dataset for Medical Image Analysis

Zhaoshan Liu, Chau Hung Lee, Qiujie Lv +2

We develop a novel ultrasound nasogastric tube (UNGT) dataset to address the lack of public nasogastric tube datasets. The UNGT dataset includes 493 images gathered from 110 patien…

eess.IV2024★ 29 cited

Segmenting Medical Images with Limited Data

Zhaoshan Liua, Qiujie Lv, Chau Hung Lee +1

While computer vision has proven valuable for medical image segmentation, its application faces challenges such as limited dataset sizes and the complexity of effectively leveragin…

eess.IV2022★ 125 cited

Recent Progress in Transformer-based Medical Image Analysis

Zhaoshan Liu, Qiujie Lv, Ziduo Yang +3

The transformer is primarily used in the field of natural language processing. Recently, it has been adopted and shows promise in the computer vision (CV) field. Medical image anal…

eess.IV2022★ 1 cited

GSDA: Generative Adversarial Network-based Semi-Supervised Data Augmentation for Ultrasound Image Classification

Zhaoshan Liu, Qiujie Lv, Chau Hung Lee +1

Medical Ultrasound (US) is one of the most widely used imaging modalities in clinical practice, but its usage presents unique challenges such as variable imaging quality. Deep Lear…

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