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Suprosanna Shit

ibbm

  •  Germany
  •  TUM
  •  Informatics
Statistics
  • Member for 4 years, 7 months
  • 12 challenge submissions
  • 2 algorithms run

Activity Overview

VerSe2020 Logo
VerSe'20
Challenge User

Vertebrae labelling and segmentation on a multi-centre, multi-scanner, and anatomically-diverse CT dataset.

CADA Logo
CADA
Challenge User

Cerebral aneurysms are local dilations of arterial blood vessels caused by a weakness of the vessel wall. Subarachnoid hemorrhage (SAH) caused by the rupture of a cerebral aneurysm is a life-threatening condition associated with high mortality and morbidity. The mortality rate is above 40%, and even in case of survival cognitive impairment can affect patients for a long time. Major goals in image analysis are the detection and risk assessment of aneurysms. We, therefore, subdivided the challenge into three categories. The first task is finding the aneurysm; the second task is the accurate segmentation to allow for a longitudinal assessment of the development of suspicious aneurysms. The third task is the estimation of the rupture risk of the aneurysm.

AutoImplant Logo
AutoImplant
Challenge User

the MICCAI 2020 Cranial Implant Design Challenge

CADA-RRE Logo
CADA - Rupture Risk Estimation
Challenge User

Cerebral aneurysms are local dilations of arterial blood vessels caused by a weakness of the vessel wall. Subarachnoid hemorrhage (SAH) caused by the rupture of a cerebral aneurysm is a life-threatening condition associated with high mortality and morbidity. The mortality rate is above 40%, and even in case of survival cognitive impairment can affect patients for a long time. Major goals in image analysis are the detection and risk assessment of aneurysms. We, therefore, subdivided the challenge into three categories. The first task is finding the aneurysm; the second task is the accurate segmentation to allow for a longitudinal assessment of the development of suspicious aneurysms. The third task is the estimation of the rupture risk of the aneurysm.

CADA-AS Logo
CADA - Aneurysm Segmentation
Challenge User

Cerebral aneurysms are local dilations of arterial blood vessels caused by a weakness of the vessel wall. Subarachnoid hemorrhage (SAH) caused by the rupture of a cerebral aneurysm is a life-threatening condition associated with high mortality and morbidity. The mortality rate is above 40%, and even in case of survival cognitive impairment can affect patients for a long time. Major goals in image analysis are the detection and risk assessment of aneurysms. We, therefore, subdivided the challenge into three categories. The first task is finding the aneurysm; the second task is the accurate segmentation to allow for a longitudinal assessment of the development of suspicious aneurysms. The third task is the estimation of the rupture risk of the aneurysm.

covid-segmentation Logo
COVID-19 LUNG CT LESION SEGMENTATION CHALLENGE - 2020
Challenge User

This challenge will create the platform to evaluate emerging methods for the segmentation and quantification of lung lesions caused by SARS-CoV-2 infection from CT images.

VALDO Logo
Where is VALDO?
Challenge User

Vascular Lesion Detection Challenge at MICCAI 2021

Carotid Artery Vessel Wall Segmentation Challenge
Challenge User

To segment the vessel wall of the carotid artery on black-blood MRI images

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.

feta Logo
FeTA - Fetal Tissue Annotation Challenge
Challenge User

Fetal Tissue Annotation Challenge

ATLAS Logo
ATLAS R2.0 - Stroke Lesion Segmentation
Challenge User

Anatomical Tracings of Lesions After Stroke

FLARE22 Logo
MICCAI FLARE 2022
Challenge User

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

AMOS22 Logo
Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022
Challenge User

vessel-wall-segmentation-2022 Logo
Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
Challenge User

isles22 Logo
Ischemic Stroke Lesion Segmentation Challenge
Challenge User

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.

TopCoW23 Logo
Topology-Aware Anatomical Segmentation of the Circle of Willis
Challenge User

Segment the Circle of Willis (CoW) vessel components for both CTA and MRA

ISLES-24 Logo
Ischemic Stroke Lesion Segmentation Challenge 2024
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)

topcow24 Logo
TopCoW 2024 Challenge
Challenge User

Segment, classify, and detect the Circle of Willis (CoW) for both CTA and MRA