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Zohaib Salahuddin

zs95

  •  Pakistan
  •  Maastricht University
  •  Precision Medicine
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  • Member for 2 years, 4 months
  • 70 challenge submissions

Activity Overview

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RIADD (ISBI-2021)
Challenge User

Retinal Image Analysis for multi-Disease Detection

Carotid Artery Vessel Wall Segmentation Challenge
Challenge User

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

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STOIC2021 - COVID-19 AI Challenge
Challenge User

COVID-19 Artificial Intelligence Challenge: automated diagnosis, and prognostic evaluation based on computed tomography

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The PI-CAI Challenge
Challenge User

Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI

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MELA2022
Challenge User

MICCAI 2022 MELA Challenge: A Large-Scale Detection Benchmark of 1,100 CT Scans for Mediastinal Lesion Analysis

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KiPA22 (Regular Challenge)
Challenge User

The challenge is aimed to segment kidney, renal tumors, arteries, and veins from computed tomography angiography (CTA) images in one inference.

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Parse2022
Challenge User

It is of significant clinical interest to study pulmonary artery structures in the field of medical image analysis. One prerequisite step is to segment pulmonary artery structures from CT with high accuracy and low time-consuming. The segmentation of pulmonary artery structures benefits the quantification of its morphological changes for diagnosis of pulmonary hypertension and thoracic surgery. However, due to the complexity of pulmonary artery topology, automated segmentation of pulmonary artery topology is a challenging task. Besides, the open accessible large-scale CT data with well labeled pulmonary artery are scarce (The large variations of the topological structures from different patients make the annotation an extremely challenging process). The lack of well labeled pulmonary artery hinders the development of automatic pulmonary artery segmentation algorithm. Hence, we try to host the first Pulmonary ARtery SEgmentation challenge in MICCAI 2022 (Named Parse2022) to start a new research topic.

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INSTANCE2022
Challenge User

The 2022 Intracranial Hemorrhage Segmentation Challenge on Non-Contrast head CT (NCCT)

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SynthRAD2023
Challenge User

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

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MICCAI FLARE 2022
Challenge User

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

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autoPET
Challenge User

Automatic lesion segmentation in whole-body FDG-PET/CT

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MICCAI HECKTOR 2022
Challenge User

Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images

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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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Brain shift with Intraoperative Ultrasound - Segmentation tasks
Challenge User

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Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
Challenge User

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ACMMM MEGC2022: Facial Micro-Expression Grand Challenge
Challenge User

Spotting Facial Macro- and Micro-Expressions in Long Videos

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Ischemic Stroke Lesion Segmentation Challenge
Challenge User

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PANORAMA
Challenge User

Artificial Intelligence and Radiologists at Pancreatic Cancer Diagnosis in CT