A deep learning approach to visualize aortic aneurysm morphology without the use of intravenous contrast agents

Podobne zapisy

• A deep learning pipeline to automate high-resolution arterial segmentation with or without intravenous contrast
  od: Chandrashekar, A, i wsp.
  Wydane: (2020)
• Prediction of abdominal aortic aneurysm growth using geometric assessment of computerised tomography images acquired during the aneurysm surveillance period
  od: Chandrashekar, A, i wsp.
  Wydane: (2020)
• The role of dipeptidyl peptidase-IV in abdominal aortic aneurysm pathogenesis: A systematic review
  od: Ngetich, E, i wsp.
  Wydane: (2021)
• The spatial morphology of intraluminal thrombus influences type II endoleak after endovascular repair of abdominal aortic aneurysms
  od: Whaley, Z, i wsp.
  Wydane: (2019)
• Integrated plasma and tissue proteomics reveals attractin release by intraluminal thrombus of abdominal aortic aneurysms and improves aneurysm growth prediction in humans
  od: Lee, R, i wsp.
  Wydane: (2020)