| 2025 | | Automated CT segmentation for lower extremity tissues in lymphedema evaluation using deep learning
European radiology, 35(11). : 6842-6852, 2025 | 허지미 |
| 2025 | | A Multicenter Study on Hepatocellular Adenomas in Korea: Clinicopathological and Imaging Features With an Emphasis on β-Catenin Mutated Subtype
Liver international, 45(4). : e16155-e16155, 2025 | 김석휘, 허지미 |
| 2024 | | Clinical application of whole-genome sequencing of solid tumors for precision oncology
Experimental & molecular medicine, 56(8). : 1856-1868, 2024 | 강석윤, 고영화, 곽규성, 권민석, 김석휘, 김선일, 김세혁, 김장희, 김재근, 김창우, 김철호, 김태환, 노성현, 노진, 노충균, 박지원, 박지은, 백수연, 손상용, 신승수, 안미선, 양민재, 유우식, 윤재성, 이기명, 이길호, 이다근, 이현우, 임선교, 장전엽, 정윤정, 조대성, 최용원, 최진혁, 하태양, 한상욱, 허지미, 허훈 |
| 2023 | | Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry
Journal of gastric cancer, 23(3). : 388-399, 2023 | 허지미 |
| 2023 | | Deep Learning-Based Automatic Detection and Grading of Motion-Related Artifacts on Gadoxetic Acid-Enhanced Liver MRI
Investigative radiology, 58(2). : 166-172, 2023 | 허지미 |
| 2023 | | Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry
Journal of cachexia, sarcopenia and muscle, 14(2). : 847-859, 2023 | 한상욱, 허지미, 허훈 |
| 2022 | | Artificial Intelligence Mortality Prediction Model for Gastric Cancer Surgery Based on Body Morphometry, Nutritional, and Surgical Information: Feasibility Study
Applied sciences (Basel, Switzerland), 12(8). : 3873-3873, 2022 | 허지미, 허훈 |
| 2022 | | Risk Prediction Model Based on Magnetic Resonance Elastography-Assessed Liver Stiffness for Predicting Posthepatectomy Liver Failure in Patients with Hepatocellular Carcinoma
Gut and liver, 16(2). : 277-289, 2022 | 김봉완, 김순선, 김재근, 은정우, 이제희, 정재연, 조효정, 허지미 |
| 2022 | | A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation
Journal of medical Internet research, 24(1). : e34415-e34415, 2022 | 김재근, 이제희, 허지미 |
| 2022 | | A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia
BMC musculoskeletal disorders, 23(1). : 93-93, 2022 | 김재근, 이제희, 허지미 |
| 2021 | | Added Value of CT Arterial Subtraction Images in Liver Imaging Reporting and Data System Treatment Response Categorization for Transcatheter Arterial Chemoembolization-Treated Hepatocellular Carcinoma
Investigative radiology, 56(2). : 109-116, 2021 | 권요한, 김재근, 김진우, 원제환, 이제희, 허지미 |
| 2021 | | Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease
Abdominal radiology (New York), 46(9). : 4189-4199, 2021 | 김재근, 이제희, 조효정, 허지미 |
| 2021 | | Hepatic arterial infusion chemotherapy for advanced hepatocellular carcinoma: Radiologic and clinical factors predictive of survival
AJR. American journal of roentgenology, 216(6). : 1566-1573, 2021 | 권요한, 김재근, 김진우, 원제환, 조효정, 허지미 |
| 2021 | | Retrospective analysis of current guidelines for hepatocellular carcinoma diagnosis on gadoxetic acid–enhanced MRI in at-risk patients
European radiology, 31(7). : 4751-4763, 2021 | 허지미 |
| 2021 | | Test-retest repeatability of ultrasonographic shear wave elastography in a rat liver fibrosis model: Toward a quantitative biomarker for preclinical trials
Ultrasonography (Seoul, Korea), 40(1). : 126-135, 2021 | 허지미 |
| 2020 | | Prognostic Value of Skeletal Muscle Depletion Measured on Computed Tomography for Overall Survival in Patients with Non-Metastatic Breast Cancer
Journal of breast cancer, 23(1). : 80-92, 2020 | 강두경, 김지영, 김태희, 박범희, 안영실, 정용식, 허지미 |
| 2020 | | Characterizing Computed Tomography-Detected Arterial Hyperenhancing-Only Lesions in Patients at Risk of Hepatocellular Carcinoma: Can Non-Contrast Magnetic Resonance Imaging Be Used for Sequential Imaging?
Korean journal of radiology, 21(3). : 280-289, 2020 | 김보현, 허지미 |
| 2020 | | Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography
Korean journal of radiology, 21(1). : 88-100, 2020 | 허지미 |
| 2020 | | Value of apparent diffusion coefficient for differentiating peripancreatic tuberculous lymphadenopathy from metastatic lymphadenopathy
Abdominal radiology (New York), 45(10). : 3163-3171, 2020 | 김재근, 허지미 |
| 2020 | | Liver stiffness in magnetic resonance elastography is prognostic for sorafenib-treated advanced hepatocellular carcinoma
European radiology, 31(4). : 2507-2517, 2020 | 김보현, 김순선, 김재근, 이제희, 정재연, 조효정, 허지미 |
| 2020 | | Reproducibility of hepatic MR elastography across field strengths, pulse sequences, scan intervals, and readers
Abdominal radiology (New York), 45(1). : 107-115, 2020 | 김보현, 김재근, 이제희, 허지미 |
| 2020 | | Liver stiffness measured by MR elastography is a predictor of early HCC recurrence after treatment
European radiology, 30(8). : 4182-4192, 2020 | 김보현, 김순선, 김재근, 은정우, 이제희, 정재연, 조효정, 허지미 |
| 2020 | | Abbreviated MRI with optional multiphasic CT as an alternative to full-sequence MRI: LI-RADS validation in a HCC-screening cohort
European radiology, 30(4). : 2302-2311, 2020 | 김보현, 허지미 |
| 2019 | | Gadoxetate-enhanced dynamic contrast-enhanced MRI for evaluation of liver function and liver fibrosis in preclinical trials
BMC medical imaging, 19(1). : 89-89, 2019 | 김보현, 허지미 |
| 2019 | | Reliable and robust method for abdominal muscle mass quantification using CT/MRI: An explorative study in healthy subjects
PloS one, 14(9). : e0222042-e0222042, 2019 | 허지미 |
| 2019 | | Sigmoid volvulus: identifying patients requiring emergency surgery with the dark torsion knot sign
European radiology, 29(10). : 5723-5730, 2019 | 김보현, 김재근, 김혜진, 이제희, 허지미 |
| 2019 | | Recent Issues on Body Composition Imaging for Sarcopenia Evaluation
Korean journal of radiology, 20(2). : 205-217, 2019 | 허지미 |
| 2019 | | Predictive value of sarcopenia and visceral obesity for postoperative pancreatic fistula after pancreaticoduodenectomy analyzed on clinically acquired CT and MRI
European radiology, 29(5). : 2417-2425, 2019 | 허지미 |
| 2019 | | Accuracy and precision of proton density fat fraction measurement across field strengths and scan intervals: A phantom and human study
Journal of magnetic resonance imaging : JMRI, 50(1). : 305-314, 2019 | 김보현, 김재근, 김혜진, 이제희, 조효정, 허지미 |
| 2019 | | Three cases of pancreatic pseudocysts associated with dorsal pancreatic agenesis
Radiology case reports, 14(1). : 79-82, 2019 | 김보현, 김재근, 김혜진, 이다근, 이제희, 허지미 |
| 2018 | | Optimal Phase of Dynamic Computed Tomography for Reliable Size Measurement of Metastatic Neuroendocrine Tumors of the Liver: Comparison between Pre- and Post-Contrast Phases
Korean journal of radiology, 19(6). : 1066-1076, 2018 | 허지미 |
