(Last updated : 2022-08-19 09:20:57)
  舛田 隆則
   Department     ,
   Position   Assistant Professor
■ Present specialized field
Radiological sciences (Key Word:Computed Tomography) 
■ Journal
1. 2022/07/01 Applying patient characteristics, stent-graft selection, and pre-operative computed tomographic angiography data to a machine learning algorithm: Is endoleak prediction possible?  Link
2. 2022/04/12 Radiation dose reduction method combining the ECG-Edit function and high helical pitch in retrospectively-gated CT angiography  Link
3. 2022/03/04 Prediction of Aortic Contrast Enhancement on Dynamic Hepatic Computed Tomography—Performance Comparison of Machine Learning Methods and Simulation Software  Link
4. 2022/03/02 Pitfall for systemic artery aneurysms evaluation using electrocardiogram-gated subtracted three-dimensional fast spin echo sequence of magnetic resonance imaging in patients with Kawasaki disease  Link
5. 2022/02/28 Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS  Link
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■ Presentation
1. 2021/11/28 Machine learning of the patient characteristics and of vascular features observed on pre-procedural computed tomography angiographs helps to predict endovascular leaks after thoracic endovascular aneurysm repair  
2. 2020/11/30 Analysis of the Machine-Learning Integration of the Patient Characteristics, Stent Graft Device, and Vessel Parameters Examined on Computed Tomography Angiographs Obtained Before Endovascular Aortic Repair: Can Endoleaks Be Predicted?  
3. 2020/11/30 Deep-learning with convolutional neural network integration to evaluate the composition of atherosclerotic plaques: Validation with integrated backscatter intravascular ultrasonography  
4. 2020/11/30 Evaluation of Liver Fibrosis by Hepatic Dynamic CT: Comparison of the Extracellular Volume Fraction and the Venous-Portal Phase Enhancement Ratio  
5. 2020/11/30 Optimal CT Angiography for Dialysis Patients with Suspected Peripheral Artery Disease  
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