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사진
Ye, Jong Chul (예종철)
교수, (김재철AI대학원)
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    Magnitude and angle dynamics in training single ReLU neurons

    Lee, Sangmin; Sim, Byeongsu; Ye, Jong Chul, NEURAL NETWORKS, v.178, 2024-10

    2
    End-to-End Semi-Supervised Opportunistic Osteoporosis Screening Using Computed Tomography

    Oh, Jieun; Kim, Boah; Oh, Gyutaek; et al, ENDOCRINOLOGY AND METABOLISM, v.39, no.3, pp.500 - 510, 2024-06

    3
    Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements

    Oh, Gyutaek; Moon, Yeonsil; Moon, Won-Jin; et al, NEUROIMAGE, v.291, 2024-05

    4
    Bidirectional generation of structure and properties through a single molecular foundation model

    Jang, Jinho; Ye, Jong Chul, NATURE COMMUNICATIONS, v.15, no.1, 2024-03

    5
    REVIEW OF DIFFUSION MODELS: THEORY AND APPLICATIONS

    Chung, Hyungjin; Nam, Hyelin; Ye, Jong Chul, Journal of the Korean Society for Industrial and Applied Mathematics, v.28, no.1, pp.1 - 21, 2024-03

    6
    Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models

    Huh, Jaeyoung; Park, Sangjoon; Lee, Jeong Eun; et al, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.28, no.3, pp.1692 - 1703, 2024-03

    7
    Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology

    Park, Sangjoon; Lee, Eun Sun; Shin, Kyung Sook; et al, MEDICAL IMAGE ANALYSIS, v.91, 2024-01

    8
    사전 정보 복원 모델을 이용한 안저 사진의 품질 개선

    Park, Sehie; Chung, Hyungjin; Ye, Jong Chul; et al, Journal of Korean Ophthalmological Society, v.65, no.1, pp.44 - 52, 2024-01

    9
    C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation

    Kim, Boah; Oh, Yujin; Wood, Bradford J.; et al, MEDICAL IMAGE ANALYSIS, v.91, 2024-01

    10
    Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction

    Oh, Gyutaek; Jung, Sukyoung; Lee, Jeong Eun; et al, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.10, pp.43 - 53, 2024

    11
    A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion

    PARK, SANGJOON; Yuki Haruhito; Niida Takayuki; et al, SCIENTIFIC REPORTS, v.13, no.1, 2023-12

    12
    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

    13
    Generative Adversarial Network-Based Image Conversion Among Different Computed Tomography Protocols and Vendors: Effects on Accuracy and Variability in Quantifying Regional Disease Patterns of Interstitial Lung Disease

    Hwang, Hye Jeon; Kim, Hyunjong; Seo, Joon Beom; et al, KOREAN JOURNAL OF RADIOLOGY, v.24, no.8, pp.807 - 820, 2023-08

    14
    Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment

    Oh, Yujin; Bae, Go Eun; Kim, Kyung-Hee; et al, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v.27, no.8, pp.4143 - 4153, 2023-08

    15
    Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation

    Park, Sangjoon; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.42, no.7, pp.2091 - 2105, 2023-07

    16
    The Foundations of Computational Imaging: A signal processing perspective

    Karl, W. Clem; Fowler, James E.; Bouman, Charles A.; et al, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.5, pp.40 - 53, 2023-07

    17
    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; et al, KOREAN JOURNAL OF RADIOLOGY, v.24, no.6, pp.541 - 552, 2023-06

    18
    Wavelet subband discriminator for efficient unsupervised chest X-ray image restoration

    Song, Joonyoung; Ye, Jong Chul, MEDICAL PHYSICS, v.50, no.4, pp.2263 - 2278, 2023-04

    19
    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

    20
    Physics-Driven Machine Learning for Computational Imaging: Part 2

    Wen, Bihan; Ravishankar, Saiprasad; Zhao, Zhizhen; et al, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.2, pp.13 - 15, 2023-03

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