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Browsing by Yonsei Author : Suh, Pae Sun

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Name :
Suh, Pae Sun [서배선]
Department :
College of Medicine (의과대학) - Dept. of Radiology (영상의학교실)

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Showing results 1 to 12 of 12

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Issue DateTitleJournal Title
2025Deep Learning-Based Brainstem Segmentation and Multi-Class Classification for Parkinsonian SyndromeJOURNAL OF MAGNETIC RESONANCE IMAGING
2025Predicting molecular types of adult-type diffuse gliomas based on MRI reports with large language modelsEUROPEAN RADIOLOGY
2025Evaluating diagnostic accuracy of large language models in neuroradiology cases using image inputs from JAMA neurology and JAMA clinical challenges SCIENTIFIC REPORTS
2025A phase II clinical trial of paclitaxel-carboplatin as neoadjuvant therapy followed by surgery in patients with locally advanced head and neck squamous cell carcinomaORAL ONCOLOGY
2025Evolving Multimodal Large Language Models in Radiology: A Year of Diagnostic ProgressRADIOLOGY
2025Deep Learning-Based Algorithm for Automatic Quantification of Nigrosome-1 and Parkinsonism Classification Using Susceptibility Map-Weighted MRI AMERICAN JOURNAL OF NEURORADIOLOGY
2025Substituting with alternative iodinated contrast medium to prevent recurrent adverse drug reactions associated with its use: a meta-analysisEUROPEAN RADIOLOGY
2024Comparing Large Language Model and Human Reader Accuracy with New England Journal of Medicine Image Challenge Case Image InputsRADIOLOGY
2024Predicting outcomes of unruptured intracranial artery dissection with clear symptoms onset using clinical and radiological features SCIENTIFIC REPORTS
2024Comparing Diagnostic Accuracy of Radiologists versus GPT-4V and Gemini Pro Vision Using Image Inputs from Diagnosis Please CasesRADIOLOGY
2024Diagnosis of Unruptured Intracranial Aneurysms Using Proton-Density Magnetic Resonance Angiography: A Comparison With High-Resolution Time-of-Flight Magnetic Resonance Angiography KOREAN JOURNAL OF RADIOLOGY
2024Substituting with alternative iodinated contrast medium to prevent recurrent adverse drug reactions associated with its use: a meta-analysisEUROPEAN RADIOLOGY
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