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Jaehyung Cha

Showing results (31-40 of 48) with videos related to

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Clinical Imaging|June 15, 2018
Significance of microvascular evaluation of ductal lesions on breast ultrasonography: Influence on diagnostic performanceEun Sil Kim, Bo Kyoung Seo, Eun Kyung Park, et al.
Japanese Journal of Radiology|July 16, 2020
Feasibility of computed tomography texture analysis of hepatic fibrosis using dual-energy spectral detector computed tomographyByukGyung Choi, In Young Choi, Sang Hoon Cha, et al.
Hepatobiliary & Pancreatic Diseases International : HBPD INT|May 13, 2018
Usefulness of CA 19-9 for pancreatic cancer screening in patients with new-onset diabetesJung Wan Choe, Hyo Jung Kim, Jae Seon Kim, et al.
Bioengineering (Basel, Switzerland)|May 27, 2023
Comparison of CT- and MRI-Based Quantification of Tumor Heterogeneity and Vascularity for Correlations with Prognostic Biomarkers and Survival Outcomes: A Single-Center Prospective Cohort StudyHyo-Young Kim, Min-Sun Bae, Bo-Kyoung Seo, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|December 1, 2020
Tumor stiffness measured by shear wave elastography correlates with tumor hypoxia as well as histologic biomarkers in breast cancerJoonghyun Yoo, Bo Kyoung Seo, Eun Kyung Park, et al.
Respiratory Care|March 27, 2020
Factors Associated With Failure of High-Flow Nasal CannulaBeong Ki Kim, Sua Kim, Chi Young Kim, et al.
Journal of Computer Assisted Tomography|February 28, 2017
Correlation Between Bile Reflux Gastritis and Biliary Excreted Contrast Media in the StomachJong Jin Hyun, Suk Keu Yeom, Euddeum Shim, et al.
Cancers|December 10, 2021
Machine Learning Models That Integrate Tumor Texture and Perfusion Characteristics Using Low-Dose Breast Computed Tomography Are Promising for Predicting Histological Biomarkers and Treatment Failure in Breast Cancer PatientsHyun-Soo Park, Kwang-Sig Lee, Bo-Kyoung Seo, et al.
Scientific Reports|November 23, 2021
Evaluation of the effect of filtered ultrafine particulate matter on bleomycin-induced lung fibrosis in a rat model using computed tomography, histopathologic analysis, and RNA sequencingCherry Kim, Sang Hoon Jeong, Jaeyoung Kim, et al.
European Radiology|July 6, 2021
Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRIJi Young Lee, Kwang-Sig Lee, Bo Kyoung Seo, et al.
Pageof 5

Showing results (31-40 of 48) with videos related to

Sort By:
Pageof 5
Clinical Imaging|June 15, 2018
Significance of microvascular evaluation of ductal lesions on breast ultrasonography: Influence on diagnostic performanceEun Sil Kim, Bo Kyoung Seo, Eun Kyung Park, et al.
Japanese Journal of Radiology|July 16, 2020
Feasibility of computed tomography texture analysis of hepatic fibrosis using dual-energy spectral detector computed tomographyByukGyung Choi, In Young Choi, Sang Hoon Cha, et al.
Hepatobiliary & Pancreatic Diseases International : HBPD INT|May 13, 2018
Usefulness of CA 19-9 for pancreatic cancer screening in patients with new-onset diabetesJung Wan Choe, Hyo Jung Kim, Jae Seon Kim, et al.
Bioengineering (Basel, Switzerland)|May 27, 2023
Comparison of CT- and MRI-Based Quantification of Tumor Heterogeneity and Vascularity for Correlations with Prognostic Biomarkers and Survival Outcomes: A Single-Center Prospective Cohort StudyHyo-Young Kim, Min-Sun Bae, Bo-Kyoung Seo, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|December 1, 2020
Tumor stiffness measured by shear wave elastography correlates with tumor hypoxia as well as histologic biomarkers in breast cancerJoonghyun Yoo, Bo Kyoung Seo, Eun Kyung Park, et al.
Respiratory Care|March 27, 2020
Factors Associated With Failure of High-Flow Nasal CannulaBeong Ki Kim, Sua Kim, Chi Young Kim, et al.
Journal of Computer Assisted Tomography|February 28, 2017
Correlation Between Bile Reflux Gastritis and Biliary Excreted Contrast Media in the StomachJong Jin Hyun, Suk Keu Yeom, Euddeum Shim, et al.
Cancers|December 10, 2021
Machine Learning Models That Integrate Tumor Texture and Perfusion Characteristics Using Low-Dose Breast Computed Tomography Are Promising for Predicting Histological Biomarkers and Treatment Failure in Breast Cancer PatientsHyun-Soo Park, Kwang-Sig Lee, Bo-Kyoung Seo, et al.
Scientific Reports|November 23, 2021
Evaluation of the effect of filtered ultrafine particulate matter on bleomycin-induced lung fibrosis in a rat model using computed tomography, histopathologic analysis, and RNA sequencingCherry Kim, Sang Hoon Jeong, Jaeyoung Kim, et al.
European Radiology|July 6, 2021
Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRIJi Young Lee, Kwang-Sig Lee, Bo Kyoung Seo, et al.
Pageof 5