- Grand Challenge

Viswanath Pamulakanty Sudarshan

viswanathps

India
IIT Bombay
Computer Science and Engineering

Statistics

Member for 3 years, 8 months

Activity Overview

ROCC

Challenge User

Retinal OCT Classification Challenge (ROCC) is organized as a one day Challenge in conjunction with MVIP2017. The goal of this challenge is to call different automated algorithms that are able to detect DR disease from normal retina on a common dataset of OCT volumes, acquired with Topcon SD-OCT devices.

DRIVE

Challenge User

Develop a system to automatically segment vessels in human retina fundus images.

QUBIQ

Challenge User

Quantification of Uncertainties in Biomedical Image Segmentation Challenge

LoDoPaB-CT

Challenge User

Low-Dose CT reconstruction in the setting of the LoDoPaB-CT dataset.

RIADD (ISBI-2021)

Challenge User

Retinal Image Analysis for multi-Disease Detection

Where is VALDO?

Challenge User

Vascular Lesion Detection Challenge at MICCAI 2021

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.

BrainPTM 2021

Challenge User

Brain Pre-surgical Tractography Mapping (BrainPTM) in real clinical scans.

FeTA - Fetal Tissue Annotation Challenge

Challenge User

Fetal Tissue Annotation Challenge

fastPET-LD

Challenge User

The purpose of this challenge is the detection of “hot spots” in fast PET scan, that is locations that have an elevated standard uptake value (SUV) and potential clinical significance. Corresponding CT scans are also provided. The ground truth, common to both datasets, was generated by a nuclear medicine expert. It consists of a 3-D segmentation map of the hot spots as well as a text file containing the position and size of 3D cuboid bounding box for each hot spot.

QUBIQ2021

Challenge User

Quantification of Uncertainties in Biomedical Image Segmentation Challenge 2021