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Peyman Obeidy photo

pobeidy1 Goto Github PK

followers: 4.0 following: 5.0 repos: 58.0 gists: 1.0

Name: Peyman Obeidy

Type: User

Company: Siemens Healthineers Australia

Bio: The development of data-driven methodologies that improve the precision and effectiveness of disease diagnosis is what inspires me the most.

Location: Sydney

Peyman Obeidy's Projects

app_deep_learning icon app_deep_learning

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

asbestosis icon asbestosis

Artificial Intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state-aid (accepted at European Radiology)

cople-net icon cople-net

COVID-19 Pneumonia Lesion segmentation network

cosingan icon cosingan

This page is for Learning Diagnosis of COVID-19 from a Single Radiological Image.

draggan icon draggan

Official Code for DragGAN (SIGGRAPH 2023)

imagepy icon imagepy

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

inf-net icon inf-net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

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