| 2020 | Deconvolution of Diffuse Gastric Cancer and the Suppression of CD34 on the BALB/c Nude Mice Model
| BMC CANCER |
| 2023 | Decrease of Muscle Mass in Young Patients With Neuromuscular Disease: Assessment of Sarcopenia
| JOURNAL OF KOREAN MEDICAL SCIENCE |
| 2012 | Decreased endothelial progenitor cells and increased serum glycated albumin are independently correlated with plaque-forming carotid artery atherosclerosis in type 2 diabetes patients without documented ischemic disease.
| CIRCULATION JOURNAL |
| 2005 | Decreased fractional anisotropy of middle cerebellar peduncle in crossed cerebellar diaschisis: Diffusion-tensor imaging-positron-emission tomography correlation study
| AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2010 | Dedifferentiated liposarcoma of retroperitoneum: spectrum of imaging findings in 15 patients | CLINICAL IMAGING |
| 2020 | Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs | RADIOLOGY |
| 2018 | Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation | MEDICAL PHYSICS |
| 2021 | Deep Generative Adversarial Networks: Applications in Musculoskeletal Imaging
| RADIOLOGY-ARTIFICIAL INTELLIGENCE |
| 2021 | Deep Learning Application in Spinal Implant Identification | SPINE |
| 2022 | Deep learning based sarcopenia prediction from shear-wave ultrasonographic elastography and gray scale ultrasonography of rectus femoris muscle
| SCIENTIFIC REPORTS |
| 2022 | Deep Learning for the Detection of Breast Cancers on Chest Computed Tomography | CLINICAL BREAST CANCER |
| 2021 | Deep Learning-Based Artificial Intelligence for Mammography
| KOREAN JOURNAL OF RADIOLOGY |
| 2021 | Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses
| SCIENTIFIC REPORTS |
| 2022 | Deep learning-based reconstruction on cardiac CT yields distinct radiomic features compared to iterative and filtered back projection reconstructions
| SCIENTIFIC REPORTS |
| 2021 | Deep Learning-Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA | AMERICAN JOURNAL OF NEURORADIOLOGY |
| 2022 | Deep learning-based tool affects reproducibility of pes planus radiographic assessment
| SCIENTIFIC REPORTS |
| 2018 | Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors
| SCIENTIFIC REPORTS |
| 2020 | Deep-learned short tau inversion recovery imaging using multi-contrast MR images | MAGNETIC RESONANCE IN MEDICINE |
| 2020 | Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation
| SCIENTIFIC REPORTS |
| 2021 | Deep-learning system for real-time differentiation between Crohn's disease, intestinal Behçet's disease, and intestinal tuberculosis | JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY |
