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Journal of the Korean Society of Radiology
|
June 16, 2023
[Interpretation of Rectal MRI after Neoadjuvant Treatment in Patients with Rectal Cancer]
Nieun Seo, Joon Seok Lim
Quantitative Imaging in Medicine and Surgery
|
December 20, 2014
How are radiologists trained in South Korea?
Yong Eun Chung, Joon Seok Lim
Clinical Endoscopy
|
August 22, 2013
Computed tomography enterography for evaluation of inflammatory bowel disease
Min Jung Park, Joon Seok Lim
Korean Journal of Radiology
|
July 5, 2019
Response Assessment with MRI after Chemoradiotherapy in Rectal Cancer: Current Evidences
Nieun Seo, Honsoul Kim, Min Soo Cho, et al.
European Radiology
|
September 20, 2018
Quantitative assessment of mesorectal fat: new prognostic biomarker in patients with mid-to-lower rectal cancer
Jiyoung Yoon, Yong Eun Chung, Joon Seok Lim, et al.
Colloids and Surfaces. B, Biointerfaces
|
October 4, 2015
Enhancement of indocyanine green stability and cellular uptake by incorporating cationic lipid into indocyanine green-loaded nanoemulsions
Eun-Hye Lee, Jin-Ki Kim, Joon-Seok Lim, et al.
Korean Journal of Radiology
|
December 24, 2005
Gadobenate dimeglumine as an intrabiliary contrast agent: comparison with mangafodipir trisodium with respect to non-dilated biliary tree depiction
Joon Seok Lim, Myeong Jin Kim, Yong Yun Jung, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
August 4, 2018
3D Active Vessel Tracking Using an Elliptical Prior
Jiwoo Kang, Suwoong Heo, Woo Jin Hyung, et al.
Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract
|
December 5, 2012
Clinical application of image-enhanced minimally invasive robotic surgery for gastric cancer: a prospective observational study
Yoo Min Kim, Song-Ee Baek, Joon Seok Lim, et al.
Medical Physics
|
July 21, 2021
Classification of focal liver lesions in CT images using convolutional neural networks with lesion information augmented patches and synthetic data augmentation
Hansang Lee, Haeil Lee, Helen Hong, et al.
Page
of 18
Search research articles
Search
Showing results (1-10 of 171) with videos related to
Sort By:
Page
of 18
Journal of the Korean Society of Radiology
|
June 16, 2023
[Interpretation of Rectal MRI after Neoadjuvant Treatment in Patients with Rectal Cancer]
Nieun Seo, Joon Seok Lim
Quantitative Imaging in Medicine and Surgery
|
December 20, 2014
How are radiologists trained in South Korea?
Yong Eun Chung, Joon Seok Lim
Clinical Endoscopy
|
August 22, 2013
Computed tomography enterography for evaluation of inflammatory bowel disease
Min Jung Park, Joon Seok Lim
Korean Journal of Radiology
|
July 5, 2019
Response Assessment with MRI after Chemoradiotherapy in Rectal Cancer: Current Evidences
Nieun Seo, Honsoul Kim, Min Soo Cho, et al.
European Radiology
|
September 20, 2018
Quantitative assessment of mesorectal fat: new prognostic biomarker in patients with mid-to-lower rectal cancer
Jiyoung Yoon, Yong Eun Chung, Joon Seok Lim, et al.
Colloids and Surfaces. B, Biointerfaces
|
October 4, 2015
Enhancement of indocyanine green stability and cellular uptake by incorporating cationic lipid into indocyanine green-loaded nanoemulsions
Eun-Hye Lee, Jin-Ki Kim, Joon-Seok Lim, et al.
Korean Journal of Radiology
|
December 24, 2005
Gadobenate dimeglumine as an intrabiliary contrast agent: comparison with mangafodipir trisodium with respect to non-dilated biliary tree depiction
Joon Seok Lim, Myeong Jin Kim, Yong Yun Jung, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
August 4, 2018
3D Active Vessel Tracking Using an Elliptical Prior
Jiwoo Kang, Suwoong Heo, Woo Jin Hyung, et al.
Journal of Gastrointestinal Surgery : Official Journal of the Society for Surgery of the Alimentary Tract
|
December 5, 2012
Clinical application of image-enhanced minimally invasive robotic surgery for gastric cancer: a prospective observational study
Yoo Min Kim, Song-Ee Baek, Joon Seok Lim, et al.
Medical Physics
|
July 21, 2021
Classification of focal liver lesions in CT images using convolutional neural networks with lesion information augmented patches and synthetic data augmentation
Hansang Lee, Haeil Lee, Helen Hong, et al.
Page
of 18