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Maria Baldeon Calisto

gabybaldeon

  •  Ecuador
  •  Universidad San Francisco de Quito
  •  Industrial Engineering
Statistics
  • Member for 4 years, 5 months
  • 80 challenge submissions
  • 24 algorithms run

Activity Overview

PROMISE12 Logo
PROMISE12
Challenge User

The goal of this challenge is to compare interactive and (semi)-automatic segmentation algorithms for MRI of the prostate.

SLIVER07 Logo
SLIVER07
Challenge User

The goal of this competition is to compare different algorithms to segment the liver from clinical 3D computed tomography (CT) scans.

Decathlon-10 Logo
Decathlon
Challenge User

The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.

SegPC-2021 Logo
SegPC-2021
Challenge User

This challenge is positioned towards robust segmentation of cells which is the first stage to build such a tool for plasma cell cancer, namely, Multiple Myeloma (MM), which is a type of blood cancer.

FUSC Logo
Foot Ulcer Segmentation Challenge
Challenge User

crossMoDA Logo
Cross-Modality Domain Adaptation Image Segmentation - 2021
Challenge User

The CrossMoDA challenge 2021 introduces the first large and multi-class medical dataset for unsupervised cross-modality Domain Adaptation.

PI-CAI Logo
The PI-CAI Challenge
Challenge User

Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI

SynthRAD2023 Logo
SynthRAD2023
Challenge User

SynthRAD is the first challenge on automatic generation of synthetic computed tomography (sCT) for radiotherapy

FLARE22 Logo
MICCAI FLARE 2022
Challenge User

MICCAI 2022 Fast and Low-resource semi-supervised Abdominal oRgan sEgmentation (FLARE) Challenge

crossmoda2022 Logo
Cross-Modality Domain Adaptation: Segmentation & Classification
Challenge User

The CrossMoDA 2022 challenge is the second edition of the first large and multi-class medical dataset for unsupervised cross-modality Domain Adaptation.

bci Logo
Breast Cancer Immunohistochemical Image Generation Challenge
Challenge User

The Breast Cancer Immunohistochemical Image Generation Challenge aims to directly generate IHC-stained breast cancer histopathology images from HE-stained images.

LDCTIQAC2023 Logo
Low-dose Computed Tomography Perceptual Image Quality Assessment
Challenge User