Author

Haz-Edine Assemlal

Montreal Neurological Institute and Hospital

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Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Amir ShmueliD· 1 shared Douglas Lorne ArnoldiD· 1 shared Ricardo PizarroiD· 1 shared Samson B. Antel· 1 shared Sethu K. Boopathy JegathambaliD· 1 shared Thomas Jubault· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Amir ShmuelORCID

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1 paper

Recent·Most cited

Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images

Ricardo Pizarro, Haz-Edine Assemlal, Sethu K. Boopathy Jegathambal, Thomas Jubault, Samson B. Antel, Douglas Lorne Arnold, Amir Shmuel

This paper develops a deep learning method with uncertainty estimation to detect MRI artifacts in large imbalanced datasets, achieving high accuracy and outperforming previous approaches.

Medical Image Analysis · Sep 9, 2023Peer-reviewedBioinformatics