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Changhee Han

14 papers hereh-index 121.6k citations25 works total

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

author position
  • sole author1
  • first author7
  • middle author4

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • eess.IV6
same name
  • Changhee Han — 1 paper, h 2
  • Changhee Han — 1 paper, h 0

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
20192021
most citedLearning More with Less: GAN-based Medical Image Augmentation

11 citations · 22 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

eess.IV2021

BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images

Shinji Nakazawa, Changhee Han, Joe Hasei +2

Convolutional Neural Networks play a key role in bone age assessment for investigating endocrinology, genetic, and growth disorders under various modalities and body regions. Howev…

eess.IV2021

Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation

Changhee Han

Convolutional Neural Networks (CNNs) can play a key role in Medical Image Analysis under large-scale annotated datasets. However, preparing such massive dataset is demanding. In th…

eess.IV2021

Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans

Akihiro Fukuda, Changhee Han, Kazumi Hakamada

Machine Learning-based fast and quantitative automated screening plays a key role in analyzing human bones on Computed Tomography (CT) scans. However, despite the requirement in dr…

eess.IV2021★ 2 cited

Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey

Changhee Han, Takayuki Okamoto, Koichi Takeuchi +6

Convolutional Neural Networks (CNNs) intrinsically requires large-scale data whereas Chest X-Ray (CXR) images tend to be data/annotation-scarce, leading to over-fitting. Therefore,…

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