Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Subject Deep learning
Showing results 1 to 23 of 23
| 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 |
| Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch Kim, Sungnyun; YUN, SE-YOUNG, IEEE ACCESS, v.10, pp.53894 - 53908, 2022 |
| Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN Yang, Serin; Kim, Eung Yeop; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3015 - 3029, 2021-11 |
| CycleMorph: Cycle consistent unsupervised deformable image registration Kim, Boah; Kim, Dong Hwan; Park, Seong Ho; Kim, Jieun; Lee, June-Goo; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.71, 2021-07 |
| DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing Gong, Taesik; Kim, Yewon; Orzikulova, Adiba; Liu, Yunxin; Hwang, Sung Ju; Shin, Jinwoo; Lee, Sung-Ju, PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT, v.7, no.2, 2023-06 |
| Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network Kang, Eunhee; Chang, Won; Yoo, Jaejun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1358 - 1369, 2018-06 |
| Deep Learning Diffuse Optical Tomography Yoo, Jaejun; Sabir, Sohail; Heo, Duchang; Kim, Kee Hyun; Wahab, Abdul; Choi, Yoonseok; Lee, Seul-, I; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.4, pp.877 - 887, 2020-04 |
| Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study Kim, Youngjune; Oh, Dong Yul; Chang, Won; Kang, Eunhee; Ye, Jong Chul; Lee, Kyeorye; Kim, Hae Young; et al, EUROPEAN RADIOLOGY, v.31, no.11, pp.8755 - 8764, 2021-11 |
| Deep Learning-Enabled Detection of Pneumoperitoneum in Supine and Erect Abdominal Radiography: Modeling Using Transfer Learning and Semi-Supervised Learning Park, Sangjoon; Ye, Jong Chul; Lee, Eun Sun; Cho, Gyeongme; Yoon, Jin Woo; Choi, Joo Hyeok; Joo, Ijin; et al, KOREAN JOURNAL OF RADIOLOGY, v.24, no.6, pp.541 - 552, 2023-06 |
| 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, 2023-12 |
| Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy Choi, Seong Ji; Khan, Mohammad Azam; Choi, Hyuk Soon; Choo, Jaegul; Lee, Jae Min; Kwon, Soonwook; Keum, Bora; et al, SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, v.36, no.1, pp.57 - 65, 2022-01 |
| Effective training strategies for deep-learning-based precipitation nowcasting and estimation Ko, Jihoon; Lee, Kyuhan; Hwang, Hyunjin; Oh, Seok-Geun; Son, Seok-Woo; Shin, Kijung, COMPUTERS & GEOSCIENCES, v.161, 2022-04 |
| Entropy regularization for weakly supervised object localization Hwang, Dongjun; Ha, Jung-Woo; Shim, Hyunjung; Choe, Junsuk, PATTERN RECOGNITION LETTERS, v.169, pp.1 - 7, 2023-05 |
| Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT Han, Yoseob; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1418 - 1429, 2018-06 |
| GridMix: Strong regularization through local context mapping Baek, Kyungjune; Bang, Duhyeon; Shim, Hyunjung, PATTERN RECOGNITION, v.109, 2021-01 |
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks Park, Heungseok; Nam, Yoonsoo; Kim, Jihoon; Choo, Jaegul, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.27, no.2, pp.1407 - 1416, 2021-02 |
| MumfordShah Loss Functional for Image Segmentation With Deep Learning Kim, Boah; Ye, Jong Chul, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.29, pp.1856 - 1866, 2020-01 |
| Region-based dropout with attention prior for weakly supervised object localization Choe, Junsuk; Han, Dongyoon; Yun, Sangdoo; Ha, Jung-Woo; Oh, Seong Joon; Shim, Hyunjung, PATTERN RECOGNITION, v.116, 2021-08 |
| Rigid and non-rigid motion artifact reduction in X-ray CT using attention module Ko, Youngjun; Moon, Seunghyuk; Baek, Jongduk; Shim, Hyunjung, MEDICAL IMAGE ANALYSIS, v.67, 2021-01 |
| See, caption, cluster: Large-scale image analysis using captioning and topic modeling Kang, Kyeongpil; Jin, Kyohoon; Jang, Soojin; Choo, Jaegul; Kim, Youngbin, EXPERT SYSTEMS WITH APPLICATIONS, v.237, 2024-03 |
| 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 |
| 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 |
| 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 |
Discover
Type
- 483 Article
- 605 Conference
- 61 Patent
- 163 Thesis(Master)
- 5 Thesis(Ph.D)
Open Access
- 36 OA Article
Date issued
- 743 2020 - 2024
- 406 2010 - 2019
- 96 2000 - 2009
- 11 1992 - 1999