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Justin Engelmann

justin.engelmann

  •  United Kingdom
  •  University of Edinburgh
  •  School of Informatics
Statistics
  • Member for 2 years, 7 months
  • 20 challenge submissions

Activity Overview

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DRIVE
Challenge User

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

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REFUGE
Challenge User

The goal of the Retinal Fundus Glaucoma Challenge (REFUGE) is to evaluate and compare automated algorithms for glaucoma detection and optic disc/cup segmentation on a common dataset of retinal fundus images.

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HC18
Challenge User

Automated measurement of fetal head circumference using 2D ultrasound images

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PALM
Challenge User

The Pathologic Myopia Challenge (PALM) focuses on the investigation and development of algorithms associated with the diagnosis of Pathological Myopia (PM) and segmentation of lesions in fundus photos from PM patients.

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iChallenges
Challenge User

We organized a serial of challenges on different eye image modalities, such as REFUGE, PALM, RETOUCH, etc.

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iChallenge-AMD
Challenge User

Age-related Macular Degeneration Challenge

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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

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RIADD (ISBI-2021)
Challenge User

Retinal Image Analysis for multi-Disease Detection

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The PI-CAI Challenge
Challenge User

Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI

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AIROGS
Challenge User

Artificial Intelligence for RObust Glaucoma Screening Challenge

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AGGC22
Challenge User

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Diabetic Retinopathy Analysis Challenge MICCAI2022
Challenge User

Diabetic Retinopathy (DR) lesions segmentation, image quality assessment and classification of proliferatived DR (PDR) and non-PDR in ultra-wide optical coherence tomography angiography mosaic (UW-OCTA-M) images

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FH-PS-AOP challenge
Challenge User

Fetal Head and Pubic Symphysis Segmentation Challenge

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MItosis DOmain Generalization Challenge 2022
Challenge User

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Cell Segmentation in Multi-modality Microscopy Images
Challenge User

Weakly Supervised Cell Segmentation in Multi-modality High-resolution Microscopy Images

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ARCADE-MICCAI2023
Challenge User

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Ultrasound Image Enhancement challenge 2023
Challenge User