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Rost Epifanov

r.epifanov

  •  Serbia
  •  Health Center
  •  R & D
Statistics
  • Member for 1 year, 4 months
  • 20 challenge submissions
  • 1 algorithms run

Activity Overview

CHAOS Logo
CHAOS
Challenge User

In this challenge, you segment the liver in CT data, and segment liver, spleen, and kidneys in MRI data.

2023PAIP Logo
PAIP 2023: TC prediction in pancreatic and colon cancer
Challenge User

Tumor cellularity prediction in pancreatic cancer (supervised learning) and colon cancer (transfer learning)

MultiCenterAorta Logo
SEG.A. - Segmentation of the Aorta
Challenge User

Segmentation, modeling and visualization of the arterial tree are still a challenge in medical image analysis. The main track of this challenge deals with the fully automatic segmentation of the aortic vessel tree in computed tomography images. Optionally, teams can submit tailored solutions for meshing and visualization of the vessel tree.

OCELOT2023 Logo
OCELOT 2023: Cell Detection from Cell-Tissue Interaction
Challenge User

AortaSeg24 Logo
Multi-Class Segmentation of Aortic Branches and Zones in CTA
Challenge User

3D Segmentation of Aortic Branches and Zones on Computed Tomography Angiography (CTA)

COSAS Logo
Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation
Challenge User