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IEEE Transactions on Medical Imaging
|
June 6, 2018
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
Eunhee Kang, Won Chang, Jaejun Yoo, et al.
IEEE Transactions on Bio-Medical Engineering
|
July 12, 2018
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks
Dongwook Lee, Jaejun Yoo, Sungho Tak, et al.
Journal of Neuroscience Methods
|
April 10, 2016
Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages
Jaejun Yoo, Eun Young Kim, Yong Min Ahn, et al.
IEEE Transactions on Medical Imaging
|
May 27, 2021
Time-Dependent Deep Image Prior for Dynamic MRI
Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, et al.
Journal of Movement Disorders
|
January 31, 2018
Alteration in the Local and Global Functional Connectivity of Resting State Networks in Parkinson's Disease
Maryam Ghahremani, Jaejun Yoo, Sun Ju Chung, et al.
Oral Radiology
|
October 29, 2024
Style harmonization of panoramic radiography using deep learning
Hak-Sun Kim, Jaejung Seol, Ji-Yun Lee, et al.
Magnetic Resonance in Medicine
|
February 6, 2018
Deep learning with domain adaptation for accelerated projection-reconstruction MR
Yoseob Han, Jaejun Yoo, Hak Hee Kim, et al.
European Radiology
|
April 19, 2025
Deep learning enhances reliability of dynamic contrast-enhanced MRI in diffuse gliomas: bypassing post-processing and providing uncertainty maps
Young Wook Lyoo, Haneol Lee, Junhyeok Lee, et al.
Scientific Reports
|
February 18, 2025
Deep learning-based classification of diffusion-weighted imaging-fluid-attenuated inversion recovery mismatch
Pum Jun Kim, Dongyoung Kim, Joonwon Lee, et al.
Scientific Reports
|
June 2, 2026
Predicting diffusion-FLAIR mismatch from B1000 and ADC without FLAIR: A deep learning-based approach
Pum Jun Kim, Dongyoung Kim, Joonwon Lee, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
IEEE Transactions on Medical Imaging
|
June 6, 2018
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
Eunhee Kang, Won Chang, Jaejun Yoo, et al.
IEEE Transactions on Bio-Medical Engineering
|
July 12, 2018
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks
Dongwook Lee, Jaejun Yoo, Sungho Tak, et al.
Journal of Neuroscience Methods
|
April 10, 2016
Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages
Jaejun Yoo, Eun Young Kim, Yong Min Ahn, et al.
IEEE Transactions on Medical Imaging
|
May 27, 2021
Time-Dependent Deep Image Prior for Dynamic MRI
Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, et al.
Journal of Movement Disorders
|
January 31, 2018
Alteration in the Local and Global Functional Connectivity of Resting State Networks in Parkinson's Disease
Maryam Ghahremani, Jaejun Yoo, Sun Ju Chung, et al.
Oral Radiology
|
October 29, 2024
Style harmonization of panoramic radiography using deep learning
Hak-Sun Kim, Jaejung Seol, Ji-Yun Lee, et al.
Magnetic Resonance in Medicine
|
February 6, 2018
Deep learning with domain adaptation for accelerated projection-reconstruction MR
Yoseob Han, Jaejun Yoo, Hak Hee Kim, et al.
European Radiology
|
April 19, 2025
Deep learning enhances reliability of dynamic contrast-enhanced MRI in diffuse gliomas: bypassing post-processing and providing uncertainty maps
Young Wook Lyoo, Haneol Lee, Junhyeok Lee, et al.
Scientific Reports
|
February 18, 2025
Deep learning-based classification of diffusion-weighted imaging-fluid-attenuated inversion recovery mismatch
Pum Jun Kim, Dongyoung Kim, Joonwon Lee, et al.
Scientific Reports
|
June 2, 2026
Predicting diffusion-FLAIR mismatch from B1000 and ADC without FLAIR: A deep learning-based approach
Pum Jun Kim, Dongyoung Kim, Joonwon Lee, et al.
Page
of 2