Browse "AI-Journal Papers(저널논문)" by Subject Training

Showing results 1 to 17 of 17

1
A Simple Framework for Robust Out-of-Distribution Detection

Hur, Youngbum; Yang, Eunho; Hwang, Sung Ju, IEEE ACCESS, v.10, pp.23086 - 23097, 2022

2
AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising

Gu, Jawook; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.7, pp.73 - 85, 2021-01

3
Adapting to Unknown Conditions in Learning-Based Mobile Sensing

Gong, Taesik; Kim, Yeonsu; Choi, Ryuhaerang; Shin, Jinwoo; Lee, Sung-Ju, IEEE TRANSACTIONS ON MOBILE COMPUTING, v.21, no.10, pp.3470 - 3485, 2022-10

4
Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation

Choe, Junsuk; Lee, Seungho; Shim, Hyunjung, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.12, pp.4256 - 4271, 2021-12

5
Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch

Kim, Sungnyun; YUN, SE-YOUNG, IEEE ACCESS, v.10, pp.53894 - 53908, 2022

6
Compressed Sensing via Measurement-Conditional Generative Models

Kim, Kyung-Su; Lee, Jung Hyun; Yang, Eunho, IEEE ACCESS, v.9, pp.155335 - 155352, 2021-11

7
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

Oh, Yujin; Park, Sangjoon; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.8, pp.2688 - 2700, 2020-08

8
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization

Kim, Youngsung; Hyun, Yoonsuk; Han, Jae-Joon; Yang, Eunho; Hwang, Sung Ju; Shin, Jinwoo, IEEE ACCESS, v.11, pp.146208 - 146222, 2023

9
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion

Chung, Hyungjin; Lee, Eun Sun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.42, no.4, pp.922 - 934, 2023-04

10
One-Shot Adaptation of GAN in Just One CLIP

Kwon, Gihyun; Ye, Jong Chul, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.10, pp.12179 - 12191, 2023-10

11
Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification

Kim, Taehyeon; Yun, Se-Young, IEEE ACCESS, v.10, pp.69741 - 69749, 2022

12
Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection

Xie, Qin; Zhang, Peng; Yu, Boseon; Choi, Jaesik, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.33, no.6, pp.2444 - 2453, 2022-06

13
Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound

Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.41, no.2, pp.266 - 278, 2022-02

14
Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation

Oh, Gyutaek; Lee, Jeong Eun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3125 - 3139, 2021-11

15
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution

Cha, Eunju; Chung, Hyungjin; Kim, Eung Yeop; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.1, pp.166 - 179, 2021-01

16
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

Akcakaya, Mehmet; Yaman, Burhaneddin; Chung, Hyungjin; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.28 - 44, 2022-03

17
Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal

Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.68, no.6, pp.2086 - 2100, 2021-06

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