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Mostafa Jahanifar

mositemp

  •  United Kingdom
  •  University of Warwick
  •  Computer Science
  •  Website
Statistics
  • Member for 9 years, 4 months
  • 25 challenge submissions
  • 21 algorithms run

Activity Overview

CAUSE07 Logo
CAUSE07
Challenge User

The goal of CAUSE07 is to compare different algorithms to segment the caudate nucleaus from brain MRI scans.

drive Logo
DRIVE
Challenge User

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

MoNuSeg Logo
MoNuSeg
Challenge User

MICCAI 2018 challenge for Multi-organ nuclei segmentation from H&E stained histopathological images.

ACDC-LungHP Logo
ACDC-LungHP
Challenge User

Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology

LYON19 Logo
LYON19
Challenge User

Automatic Lymphocyte detection in IHC stained specimens.

PAIP2019 Logo
PAIP 2019
Challenge User

PAIP2019: Liver Cancer Segmentation Task 1: Liver Cancer Segmentation Task 2: Viable Tumor Burden Estimation

DigestPath2019 Logo
DigestPath2019
Challenge User

Welcome to Digestive-System Pathological Detection and Segmentation Challenge 2019. This competition is part of the MICCAI 2019 Challenge.

odir2019 Logo
ODIR-2019
Challenge User

北京大学国际眼底图像智能识别竞赛 Peking University International Competition on Ocular Disease Intelligent Recognition

LYSTO Logo
Lymphocyte Assessment Hackathon
Challenge User

Lymphocyte Assessment Hackathon in conjunction with the MICCAI COMPAY 2019 Workshop on Computational Pathology

qubiq Logo
QUBIQ
Challenge User

Quantification of Uncertainties in Biomedical Image Segmentation Challenge

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.

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.

MIDOG2021 Logo
MIDOG Challenge 2021
Challenge User

Mitosis Domain Generalization Challenge 2021 (part of MICCAI 2021)

tiger Logo
TIGER
Challenge User

Grand challenge on automate assessment of tumor infiltrating lymphocytes in digital pathology slides of triple negative and Her2-positive breast cancers

CoNIC-Challenge Logo
CoNIC 2022
Challenge Editor

Colon Nuclei Identification and Counting Challenge 2022

MIDOG2022 Logo
MItosis DOmain Generalization Challenge 2022
Challenge User

LEOPARD Logo
The LEOPARD Challenge
Challenge User

MONKEY Logo
MONKEY challenge: Detection of inflammation in kidney biopsies
Challenge User

MONKEY (Machine-learning for Optimal detection of iNflammatory cells in KidnEY)

Gleason Grading of Prostate Biopsies Logo
Gleason Grading of Prostate Biopsies
Algorithm User

Automated Gleason grading of prostate biopsies following the Gleason Grade Group system.

Quality assessment of whole-slide images through artifact detection Logo
Quality assessment of whole-slide images through artifact detection
Algorithm User

Quality scoring with artifact detection in whole slide images; out-of-focus, tissue folds, ink, dust, pen mark, and air bubbles.

Tiger Algorithm Example Logo
Tiger Algorithm Example
Algorithm User

example on how to create an algorithm for the tiger challenge

Mitosis Detection, Fast and Slow (MDFS) Logo
Mitosis Detection, Fast and Slow (MDFS)
Algorithm Editor

Point detection. Detection thr=0.4, with TTA. Classification thr=0.5