Ki C. Sim
Seoul, Republic of Korea
Last Updated: 09/26/2026
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Found 43 publications
Diagnostic and Prognostic Non-Invasive Markers in Bladder Cancer.
Journal: Diagnostics (Basel, Switzerland)
Published: April 17, 2026
Improved Detection of Small (<2 cm) Hepatocellular Carcinoma via Deep Learning-Based Synthetic CT Hepatic Arteriography: A Multi-Center External Validation Study.
Journal: Diagnostics (Basel, Switzerland)
Published: December 18, 2025
Beyond diagnosis: deep-learning-based analysis of hospitalization using abdominal radiographs in the emergency department.
Journal: Abdominal radiology (New York)
Published: October 02, 2025
Deep learning integration of initial abdominal radiography and early clinical information for predicting hospitalization of patients with abdominal symptoms.
Journal: Scientific reports
Published: September 25, 2025
Wolffian Tumor of the Fallopian Tube Mimicking Malignant Adnexal Tumor: A Case Report and Literature Review.
Journal: Journal of the Korean Society of Radiology
Published: August 12, 2025
Correlation Between the Natural Course and Magnetic Resonance Imaging Features of Bacillus Calmette-Guérin-Related Granulomatous Prostatitis in Patients With Bladder Cancer.
Journal: Journal of Korean medical science
Published: May 26, 2025
Multiparametric MRI Features of Plasmacytoid Urothelial Carcinoma of the Urinary Bladder.
Journal: Korean journal of radiology
Published: April 09, 2025
Preoperative Computed Tomography-Based Prediction and Patterns of Lymph Node Metastasis in Renal Pelvis and Ureteral Urothelial Carcinomas.
Journal: Cancers
Published: February 15, 2025
Assessing Image Quality in Multiplexed Sensitivity-Encoding Diffusion-Weighted Imaging with Deep Learning-Based Reconstruction in Bladder MRI.
Journal: Diagnostics (Basel, Switzerland)
Published: January 27, 2025
Enhancing Oncological Surveillance Through Large Language Model-Assisted Analysis: A Comparative Study of GPT-4 and Gemini in Evaluating Oncological Issues From Serial Abdominal CT Scan Reports.
Journal: Academic radiology
Published: September 27, 2024
Machine Learning-Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma.
Journal: Journal of computer assisted tomography
Published: November 10, 2023
Development and validation of CT‑based radiomics model of PET-negative residual CT masses: a potential biomarker for predicting relapse‑free survival in non-Hodgkin lymphoma patients showing complete metabolic response.
Journal: Abdominal radiology (New York)
Published: March 07, 2023
Last Updated: 09/26/2026