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You searched for: Author/Creator Miyamoto, Takuya

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1. A combination of plaque components analyzed by integrated backscatter intravascular ultrasound and serum pregnancy‐associated plasma protein a levels predict the no‐reflow phenomenon during percutaneous coronary intervention. Issue 1 (5th August 2014)

2. A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma. Issue 10 (15th May 2020)

3. A randomized controlled trial of eicosapentaenoic acid in patients with coronary heart disease on statins. Issue 6 (December 2017)

5. Association of plasma xanthine oxidoreductase activity with severity and clinical outcome in patients with chronic heart failure. (1st February 2017)

6. Automated Differentiation Between Osteoporotic Vertebral Fracture and Malignant Vertebral Fracture on MRI Using a Deep Convolutional Neural Network. Issue 8 (15th April 2022)

7. Biatrial volume, estimated using magnetic resonance imaging, predicts atrial fibrillation recurrence after ablation. Issue 12 (24th October 2018)

8. Circulating heart-type fatty acid-binding protein levels predict ventricular fibrillation in Brugada syndrome. Issue 3 (March 2016)

9. Comparison between febuxostat and allopurinol uric acid-lowering therapy in patients with chronic heart failure and hyperuricemia: a multicenter randomized controlled trial. Issue 12 (December 2021)

10. Comparison of Clinical and Radiographic Outcomes of Laminoplasty, Anterior Decompression With Fusion, and Posterior Decompression With Fusion for Degenerative Cervical Myelopathy: A Prospective Multicenter Study. Issue 20 (15th October 2020)