Sayedmasoud Hashemi Amroabadi

About Sayedmasoud Hashemi Amroabadi

Sayedmasoud Hashemi Amroabadi, With an exceptional h-index of 15 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of AI Trust and Governance, Machine Learning, Medical signal and image processing, Compressed sensing, Cone Beam CT Reconstruction.

His recent articles reflect a diverse array of research interests and contributions to the field:

PUMA: Performance Unchanged Model Augmentation for Training Data Removal

PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards

Technical principles of dual-energy cone beam computed tomography and clinical applications for radiation therapy

Sayedmasoud Hashemi Amroabadi Information

University

Position

"Sunnybrook Health Sciences Centre" "Ryerson University" and

Citations(all)

521

Citations(since 2020)

294

Cited By

345

hIndex(all)

15

hIndex(since 2020)

9

i10Index(all)

16

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Sayedmasoud Hashemi Amroabadi Skills & Research Interests

AI Trust and Governance

Machine Learning

Medical signal and image processing

Compressed sensing

Cone Beam CT Reconstruction

Top articles of Sayedmasoud Hashemi Amroabadi

PUMA: Performance Unchanged Model Augmentation for Training Data Removal

2022

PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards

https://arxiv.org/abs/2008.10138

2020

Technical principles of dual-energy cone beam computed tomography and clinical applications for radiation therapy

2020/1/1

See List of Professors in Sayedmasoud Hashemi Amroabadi University(University of Toronto)

Co-Authors

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