Machine Learning-Based Random Forest to Predict 3-Year Survival after Endovascular Aneurysm Repair
2025 · Annals of Thoracic and Cardiovascular Surgery · 4 citations
https://doi.org/10.5761/atcs.oa.25-00036
S
Shinobu Akiyama
Meiji University(JP)
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Shinobu Akiyama is an academic researcher from Meiji University. The author has contributed to research in topics: Advanced Combustion Engine Technologies & Combustion and flame dynamics & Catalytic Processes in Materials Science. The author has an h-index of 5, co-authored 7 publications.
Papers by this author
worksType IIIb endoleak due to stent suture line fabric breakage in the Endurant stent graft: a case report
2022 · Surgical Case Reports · 2 citations
https://doi.org/10.1186/s40792-022-01415-8
Long-Term Outcomes of Elective Endovascular Aneurysm Repair for Abdominal Aortic Aneurysm in Japanese Elderly Patients
2025 · Annals of Thoracic and Cardiovascular Surgery · 1 citations
https://doi.org/10.5761/atcs.oa.24-00185
Proposal for a Method for Assessing the Quality of an Updated Deep Learning-Based Automatic Segmentation Program
2025 · Cureus · 1 citations
https://doi.org/10.7759/cureus.81307
Examination of the Quality Control Items for Digital Breast Tomosynthesis System in Japan
2021 · Japanese Journal of Radiological Technology · 1 citations
https://doi.org/10.6009/jjrt.2021_jsrt_77.5.478
Dosimetric Comparison of 3D Conformal Radiotherapy (3D-CRT), Intensity-Modulated Radiotherapy (IMRT), and Volumetric-Modulated Arc Therapy (VMAT) in Cardiac-Sparing Whole Lung Irradiation
2023 · Cureus · 0 citations
https://doi.org/10.7759/cureus.51047
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