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論文名稱 |
期刊名稱、卷別、頁數 |
發表年月 |
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BlueLight: An Open Source DICOM Viewer Using Low-Cost Computation Algorithm Implemented with JavaScript Using Advanced Medical Imaging Visualization |
Journal of Digital Imaging. 20 Dec 2022 doi: 10.1007/s10278-022-00746-0 |
2022.12 |
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Ground truth generalizability affects performance of the artificial intelligence model in automated vertebral fracture detection on plain lateral radiographs of the spine |
The Spine Journal. 2022, Vol. 22, Issue 1. doi:10.1016/j.spinee.2021.10.020 |
2022.01 |
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Can 3D artificial intelligence models outshine 2D ones in the detection of intracranial metastatic tumors on magnetic resonance images |
Journal of the Chinese Medical Association. October 2021 - Volume 84 - Issue 10 - p 956-962 |
2021.10 |
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Ensemble classification and segmentation for intracranial metastatic tumors on MRI images based on 2D U‑nets |
Scientific Reports, (2021) 11:20634, doi:10.1038/s41598-021-99984-5 |
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Evolutionary Learning-Derived Clinical-Radiomic Models for Predicting Early Recurrence of Hepatocellular Carcinoma after Resection |
Liver Cancer. 2021;10:572–582 doi: 10.1159/000518728 |
2021.09 |
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Detection of Vestibular Schwannoma on Triple-parametric Magnetic Resonance Images Using Convolutional Neural Networks |
Journal of Medical and Biological Engineering. 41, 626–635 (2021). |
2021.06 |
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Deep Learning and Ensemble Stacking Technique for Differentiating Polypoidal Choroidal Vasculopathy from Neovascular Age-Related Macular Degeneration |
Scientific Reports.2021 Mar, Article number: 7130 (2021) . |
2021.03 |
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Prediction of pseudoprogression and long-term outcome of vestibular schwannoma after Gamma Knife radiosurgery based on preradiosurgical MR radiomics |
Radiotherapy and Oncology. 2020 Nov 5;155:123-130. doi: 10.1016/j.radonc.2020.10.041 |
2021.02 (E-publish: 2020.11) |
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Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery |
Scientific Reports. 2021 Feb 4;11(1):3106. doi: 10.1038/s41598-021-82665-8 |
2021.02 |
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Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists? |
Clinical Orthopedic and Related Research. 2021 Feb 26. doi: 10.1097/CORR.0000000000001685 |
2021.02 |
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The Clinical Application of the Deep Learning Technique for Predicting Trigger Origins in Paroxysmal Atrial Fibrillation Patients with Catheter Ablation |
Circ Arrhythm Electrophysiol. 2020 Nov;13(11):e008518. doi: 10.1161/CIRCEP.120.008518 |
2020.11 |
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Automated Extraction of Left Atrial Volumes from Two-dimensional Computer Tomography Images Using a Deep Learning Technique |
International Journal of Cardiology. |
2020.10 |
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Combining analysis of multi-parametric MR images into a convolutional neural network: precise target delineation for vestibular schwannoma treatment planning |
Artificial Intelligence in Medicine. 2020 Jul;107:101911. doi: 10.1016/j.artmed.2020.101911 |
2020.07 |
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Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model |
PloS ONE. 2020 May 14;15(5):e0233079. doi: 10.1371/journal.pone.0233079 |
2020.05 |
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