1. |
2021/10/30 |
深層学習システムによる顎下腺炎の超音波画像の診断精度
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2. |
2019/06/22 |
Diagnostic value of deep learning for classifying Sjogren’s syndrome on computed tomographic images(IADR/AADR/CADR General Session & Exhibition)
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3. |
2018/09/08 |
Diagnostic value of deep learning for classifying Sjogren syndrome on CT images.(12th Asian Congress of Oral & Maxillofacial Radiology)
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4. |
2018/09/02 |
Deep Learningを用いたシェーグレン症候群のCT画像診断の精度(第61回日本口腔科学会中部地方部会)
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5. |
2018/05/26 |
Deep Learningによるシェーグレン症候群のCT画像診断の精度(日本歯科放射線学会第59回学術大会)
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6. |
2016/12/10 |
3次元CT画像における解剖学的計測点Gonion設定法の確立:95%確率楕円法を用いた評価(日本歯科放射線学会第36回関西・九州合同地方会)
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7. |
2016/11/11 |
Estimation of fat fraction in the salivary glands using new MRI method(11th Asian Congress of Oral Maxillofacial Radiology)
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8. |
2015/08/24 |
Salivary gland fat fraction estimated with a new MRI method(International Association for Dental Research Australia and New Zealand Division Annual Scientific Meeting)
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9. |
2015/06/07 |
唾液腺内脂肪含有率の測定:mDIXON QuantおよびMR spectroscopyとの比較(日本歯科放射線学会第56回学術大会)
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10. |
2013/06/24 |
Reliability of maxillofacial landmark setting on 3-dimensional cone-beam computed tomography image in relation to exposure condition: Evaluation using 95% confidence ellipse method(19th International Congress of Dento-Maxillo-Facial Radiology)
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11. |
2012/12/08 |
顎変形症におけるCT照射条件の低減:ランドマークの再現性による評価(日本歯科放射線学会第32回関西・九州合同地方会)
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12. |
2012/09/14 |
Appropriateness of reductions in the exposure condition in patients with a jaw deformity: Evaluation using reproducibility of landmark settings on 3-dimensional CT imaging(The 9th Asian Congress of Oral and Maxillofacial Radiology)
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13. |
2011/05/25 |
Reproducibility of landmark setting on 3-dimensional CT image in relation to exposure condition(18th International Congress of Dento-Maxillo-Facial Radiology)
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14. |
2009/10/25 |
上顎洞にみられたDiffuse B-cell Lymphomaの1例(日本歯科放射線学会第14回臨床画像大会)
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15. |
2009/01/24 |
多骨性線維性異形成症における顎顔面骨のCT所見(日本歯科放射線学会第28回関西・九州合同地方会)
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全件表示(15件)
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