| 2026 | | Robust Multimodal Deep Learning for Lymphoma Subtype Classification Using 18F-FDG PET Maximum Intensity Projection Images and Clinical Data: A Multi-Center Study
Annals of dermatology, 18(2). : 210-210, 2026 | 김철호, 박용진, 유슬기, 허재성 |
| 2025 | | Machine learning-based prediction of amyloid positivity using early-phase F-18 flutemetamol PET
Journal of Alzheimer's disease : JAD, 106(3). : 1198-1211, 2025 | 문소영, 박용진, 손상준, 안영실, 홍창형 |
| 2025 | | Artificial Delayed-phase Technetium-99m MIBI Scintigraphy From Early-phase Scintigraphy Improves Identification of Hyperfunctioning Parathyroid Lesions in Patients With Hyperparathyroidism
Clinical nuclear medicine, 50(7). : 631-638, 2025 | 박용진 |
| 2025 | | Comparative analysis of Elecsys and ELISA for differentiating amyloid-PET status in a Korean memory clinic based on cerebrospinal fluid biomarkers
Journal of Alzheimer's disease : JAD, 104(1). : 232-244, 2025 | 문소영, 박선아, 박용진, 안영실, 이선민, 이지영 |
| 2025 | | F-18 FDG PET-derived imaging biomarkers of airway inflammation and their clinical associations in patients with non-small cell lung cancer
BMC cancer, 25(1). : 379-379, 2025 | 박용진, 이수진 |
| 2025 | | 18F-FDG PET/CT in Inflammation and Infection: Procedural Guideline by the Korean Society of Nuclear Medicine
Nuclear medicine and molecular imaging, 59(1). : 27-40, 2025 | 박용진 |
| 2025 | | 18F-FDOPA PET/CT in Oncology: Procedural Guideline by the Korean Society of Nuclear Medicine
Nuclear medicine and molecular imaging, 59(1). : 41-49, 2025 | 박용진 |
| 2025 | | Establishing cutoff values for visual amyloid positivity in [18F]flutemetamol PET
EJNMMI research, 15(1). : 1-1, 2025 | 문소영, 박용진, 안영실, 윤준기, 이수진 |
| 2024 | | Automated Measurement of Effective Radiation Dose by 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography
Tomography (Ann Arbor, Mich.), 10(12). : 2144-2157, 2024 | 박복남, 박용진, 안영실, 윤준기, 이수진 |
| 2024 | | Risk Factors for Rapid Cognitive Decline in Amyloid-Negative Individuals Without Cognitive Impairment or With Early-Stage Cognitive Loss in Screening Tests
Clinical nuclear medicine, 49(11). : 1014-1024, 2024 | 박용진 |
| 2024 | | (177)Lu Anti-Angiogenic Radioimmunotherapy Targeting ATP Synthase in Gastric Cancer Model
Antibodies (Basel, Switzerland), 13(3). : 51-51, 2024 | 박복남, 박용진, 안영실, 윤준기, 이수진 |
| 2024 | | Clinical Feasibility of Deep Learning–Based Attenuation Correction Models for Tl-201 Myocardial Perfusion SPECT
Clinical nuclear medicine, 49(5). : 397-403, 2024 | 박용진, 안영실, 윤준기, 이수진 |
| 2023 | | A Machine Learning Approach Using [18F]FDG PET-Based Radiomics for Prediction of Tumor Grade and Prognosis in Pancreatic Neuroendocrine Tumor
Molecular imaging and biology, 25(5). : 897-910, 2023 | 박용진 |
| 2023 | | Direct comparison of diagnostic and clinical values between Tc-99 m DPD and Tc-99 m PYP scintigraphy in patients with cardiac amyloidosis
BMC medical imaging, 23(1). : 92-92, 2023 | 박용진 |
| 2023 | | Prognostic value of pretherapeutic FDG PET/CT in non-small cell lung cancer with pulmonary lymphangitic carcinomatosis
Scientific reports, 13(1). : 345-345, 2023 | 박용진 |
