Changhee Han | DeepAI

AI Chat

Featured Co-authors

Joongheon Kim
81 publications
Jin Zhang
62 publications
Shin'ichi Satoh
44 publications
Hideki Nakayama
44 publications
Hideaki Hayashi
17 publications
Leonardo Rundo
16 publications
Giancarlo Mauri
13 publications
Ryuichiro Hataya
13 publications
Evis Sala
10 publications
Marco S. Nobile
7 publications
Junghyun Kim
5 publications

∙ 10/16/2021

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

Convolutional Neural Networks play a key role in bone age assessment for...

0 Shinji Nakazawa, et al. ∙

∙ 06/03/2021

Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation

Convolutional Neural Networks (CNNs) can play a key role in Medical Imag...

28 Changhee Han, et al. ∙

∙ 06/03/2021

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

Machine Learning-based fast and quantitative automated screening plays a...

0 Akihiro Fukuda, et al. ∙

∙ 06/02/2021

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

Convolutional Neural Networks (CNNs) intrinsically requires large-scale ...

0 Changhee Han, et al. ∙

∙ 09/21/2020

Economic Theoretic LEO Satellite Coverage Control: An Auction-based Framework

Recently, ultra-dense low earth orbit (LEO) satelliteconstellation over ...

0 Junghyun Kim, et al. ∙

∙ 07/24/2020

MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction

Unsupervised learning can discover various unseen diseases, relying on l...

7 Changhee Han, et al. ∙

∙ 01/12/2020

Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems

This work aims to identify/bridge the gap between Artificial Intelligenc...

0 Changhee Han, et al. ∙

∙ 06/14/2019

GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis

Leveraging large-scale healthy datasets, unsupervised learning can disco...

4 Changhee Han, et al. ∙

∙ 06/12/2019

Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection

Accurate computer-assisted diagnosis, relying on large-scale annotated p...

6 Changhee Han, et al. ∙

∙ 05/31/2019

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

Convolutional Neural Networks (CNNs) can achieve excellent computer-assi...

0 Changhee Han, et al. ∙

∙ 04/17/2019

USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

Prostate cancer is the most common malignant tumors in men but prostate ...

0 Leonardo Rundo, et al. ∙

∙ 03/29/2019

CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study

Prostate cancer is the most common cancer among US men. However, prostat...

0 Leonardo Rundo, et al. ∙

∙ 03/29/2019

Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection

Due to the lack of available annotated medical images, accurate computer...

22 Changhee Han, et al. ∙

∙ 03/29/2019

Learning More with Less: GAN-based Medical Image Augmentation

Accurate computer-assisted diagnosis using Convolutional Neural Networks...

0 Changhee Han, et al. ∙

∙ 02/26/2019

Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images

Accurate computer-assisted diagnosis can alleviate the risk of overlooki...

0 Changhee Han, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world