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Medical Image Analysis|December 24, 2002
Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snake modelBilgin Keserci, Hiroyuki Yoshida
Academic Radiology|March 12, 2018
Magnetic Resonance Imaging Parameters in Predicting the Treatment Outcome of High-intensity Focused Ultrasound Ablation of Uterine Fibroids With an Immediate Nonperfused Volume Ratio of at Least 90Bilgin Keserci, Nguyen Minh Duc
Diagnostic and Interventional Radiology (Ankara, Turkey)|September 14, 2018
Review of influential clinical factors in reducing the risk of unsuccessful MRI-guided HIFU treatment outcome of uterine fibroidsNguyen Minh Duc, Bilgin Keserci
Journal of Therapeutic Ultrasound|August 22, 2017
Volumetric magnetic resonance-guided high-intensity focused ultrasound ablation of uterine fibroids through abdominal scars: the impact of a scar patch on therapeutic efficacy and adverse effectsBilgin Keserci, Nguyen Minh Duc
European Radiology|June 16, 2017
The role of T1 perfusion-based classification in magnetic resonance-guided high-intensity focused ultrasound ablation of uterine fibroidsBilgin Keserci, Nguyen Minh Duc
International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group|May 26, 2017
The role of T1 perfusion-based classification in predicting the outcome of magnetic resonance-guided high-intensity focused ultrasound treatment of adenomyosisBilgin Keserci, Nguyen Minh Duc
International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group|October 12, 2018
Magnetic resonance imaging features influencing high-intensity focused ultrasound ablation of adenomyosis with a nonperfused volume ratio of ≥90% as a measure of clinical treatment success: retrospective multivariate analysisBilgin Keserci, Nguyen Minh Duc
Diagnostic and Interventional Radiology (Ankara, Turkey)|July 10, 2019
Emerging clinical applications of high-intensity focused ultrasoundNguyen Minh Duc, Bilgin Keserci
Cancers|August 26, 2023
Deciphering Machine Learning Decisions to Distinguish between Posterior Fossa Tumor Types Using MRI Features: What Do the Data Tell Us?Toygar Tanyel, Chandran Nadarajan, Nguyen Minh Duc, et al.
Anticancer Research|May 6, 2020
The Role of Predictive Model Based on Quantitative Basic Magnetic Resonance Imaging in Differentiating Medulloblastoma from EpendymomaNguyen Minh Duc, Huynh Quang Huy, Chandran Nadarajan, et al.
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