YUHSpace: Dept. of Radiology (영상의학교실)

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YUHSpace1. College of Medicine (의과대학)Dept. of Radiology (영상의학교실)

Dept. of Radiology (영상의학교실)

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Artificially engineered magnetic nanoparticles for ultra-sensitive molec...

Jae-Hyun Lee ; Yong-Min Huh ; Jinwoo Cheon ; Jin-Suck Suh ; Ho-Geun Yoon ; Eu... NATURE MEDICINE, Vol.13(1) : 95-99, 2007

Nanoscale size effect of magnetic nanocrystals and their utilisation for...

Young-wook Jun ; Yong-Min Huh ; Jin-sil Choi ; Jae-Hyun Lee ; Ho-Taek Song ; ... JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, Vol.127(16) : 5732-5733, 2005

Nanomaterials for theranostics: Recent advances and future challenges

Eun-Kyung Lim ; Taekhoon Kim ; Soonmyung Paik ; Seungjoo Haam ; Yong-Min Huh ... CHEMICAL REVIEWS, Vol.115(1) : 327-394, 2015

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Issue Date	Title	Journal Title
2021	YAP inactivation in estrogen receptor alpha-positive hepatocellular carcinoma with less aggressive behavior	EXPERIMENTAL AND MOLECULAR MEDICINE
2021	Intralymphatic immunotherapy with tyrosine-adsorbed allergens: a double-blind, placebo-controlled trial	RESPIRATORY RESEARCH
2021	Computed Tomography-Derived Skeletal Muscle Radiodensity Predicts Peak Weight-Corrected Jump Power in Older Adults: The Korean Urban Rural Elderly (KURE) Study	CALCIFIED TISSUE INTERNATIONAL
2021	Immediate and Long-Term Outcomes of Reperfusion Therapy in Patients With Cancer	STROKE
2021	Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer	KOREAN JOURNAL OF RADIOLOGY
2021	Ultrahigh-field cardiovascular magnetic resonance T1 and T2 mapping for the assessment of anthracycline-induced cardiotoxicity in rat models: validation against histopathologic changes	JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE
2021	Regional Amyloid Burden Differences Evaluated Using Quantitative Cardiac MRI in Patients with Cardiac Amyloidosis	KOREAN JOURNAL OF RADIOLOGY
2021	Metabolic activity assessment by 18 F-fluorodeoxyglucose positron emission tomography in patients with hepatocellular carcinoma undergoing Yttrium-90 transarterial radioembolization	JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
2021	In Vivo Usability Test of Vascular Intervention Robotic System Controlled by Two Types of Master Devices	APPLIED SCIENCES-BASEL
2021	Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges	EUROPEAN RADIOLOGY
2021	CT Pulmonary Angiography for the Diagnosis of Pulmonary Embolism in Patients with COVID-19: When, Why, and for Whom? Response	RADIOLOGY
2021	Prediction of postinfectious bronchiolitis obliterans prognosis in children	PEDIATRIC PULMONOLOGY
2021	The diagnostic value of phase angle, an integrative bioelectrical marker, for identifying individuals with dysmobility syndrome: the Korean Urban-Rural Elderly study	OSTEOPOROSIS INTERNATIONAL
2021	Real-time identification of aberrant left hepatic arterial territories using near-infrared fluorescence with indocyanine green during gastrectomy for gastric cancer	SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
2021	Prognostic factors of gadoxetic acid-enhanced MRI for postsurgical outcomes in multicentric hepatocellular carcinoma	EUROPEAN RADIOLOGY
2021	Usefulness of chloride levels for fluid resuscitation in patients undergoing targeted temperature management after out-of-hospital cardiac arrest	AMERICAN JOURNAL OF EMERGENCY MEDICINE
2021	Superselective transcatheter arterial embolization for acute small bowel bleeding: clinical outcomes and prognostic factors for ischemic complications	ACTA RADIOLOGICA
2021	The Symptoms-Varices-Pathophysiology classification of pelvic venous disorders: A report of the American Vein & Lymphatic Society International Working Group on Pelvic Venous Disorders	JOURNAL OF VASCULAR SURGERY
2021	Prognostic Value of Coronary Artery Disease-Reporting and Data System Score for Major Adverse Cardiac Events in Patients Attending the Emergency Department With Acute Chest Pain	JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
2021	Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images	AMERICAN JOURNAL OF NEURORADIOLOGY